Your key areas of focus will be:

• Contributing to the development of intelligent AI and data science solutions to identify risks early on
• Gaining comprehensive insights into the work of the Internal Audit department at Porsche
• Supporting projects in one of the following areas, tailored to your area of expertise:

• Implementing AI agents (e.g., Microsoft Co-Pilot, GenAI frameworks)
• Conducting data analyses to identify anomalies and optimization potential
• Identifying new AI tools for the audit process
• Developing the AI strategy for the Internal Audit department

Start date: September/October 2026 Duration: 3-6 months

We offer you:

• Insights into the application of AI and data science in the Internal Audit department
• Participation in exciting projects to develop the AI strategy
• Access to digital learning and working tools
• An active practicum community

To be successful in this role, you should have:

• A degree in Data Science, Computer Science, Mathematics, or a related field (at least in the third semester or during a gap year between Bachelor's and Master's studies)
• First practical experience in implementing artificial intelligence, data science, or data analytics
• Strong engagement, innovation, teamwork, and first programming skills
• Excellent German and good English language skills (at least B2 level)

If you have any questions, please feel free to contact us. We receive regular inquiries about the application process at Porsche. You can find some essential information here.

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As part of the team, you will help solve complex business problems by developing viable cutting-edge AI/ML solutions.

You will develop and implement creative solutions that fundamentally transform business processes, delivering breakthrough improvements rather than incremental changes.

You will work closely with other AI/ML researchers and engineers, SWEs, product owners/managers, and business stakeholders, and participate in the full lifecycle of solution development, including requirements gathering with business, experimentation and algorithmic exploration, development, and assistance with productization.

Key Responsibilities:

• Work independently or as part of a team to help design and implement high accuracy and delightful user experience solutions utilizing ML, NLP, GenAI, Agentic technologies.

• Participate in all aspects of solution development, including ideation and requirement gathering with business stakeholders, experimentation and exploration to identify strong solution approaches, solution development, etc.

• Prototype, test, and iterate on novel AI models and approaches to solve complex business challenges.

• Collaborate with cross-functional teams to identify opportunities where AI can create significant business value, and transition solutions into production systems.

• Research and stay updated with the latest advancements in machine learning and AI technologies.

• Participate in code reviews, technical discussions, and knowledge sharing sessions.

• Communicate technical concepts and transformative ideas effectively to both technical and non-technical stakeholders.

Required Skills & Qualifications:

• Bachelor's with 10+ years, Master's with 7+ years, or PhD with 5+ years in Computer Science, Data Science, Machine Learning, or related field.

• Deep expertise and proven ability in developing high accuracy/value solutions to business problems in the NLP, Generative AI, Agentic AI, and/or ML space.

• Hands-on experience with data processing, experimentation, and exploration.

• Strong programming skills in Python.

• Experience with cloud platforms (AWS, Azure, GCP) for deploying ML solutions.

• Excellent problem-solving skills and attention to detail.

• Strong communication skills to collaborate with technical and non-technical stakeholders.

• Ability to work independently and collaboratively.

Additional Preferred Skills & Qualifications:

• Understanding of the financial markets, including experience with financial datasets, is strongly preferred.

• Experience with ML frameworks such as PyTorch, TensorFlow.

• Familiarity with MLOps practices and tools such as SageMaker, MLflow, or Airflow.

• Previous experience working in an Agile environment.

Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future.

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Key responsibilities include: Partner with Scale AEs on the customer journey, delivering tailored demos and prototypes according to the customer's requirements. Develop technical domain expertise in Generative AI / large language model applications for Enterprise use cases, including customers in financial services, insurance, SaaS, and similar enterprises. Be accountable for securing the 'technical win' by unblocking technical challenges Interact with customers daily to understand their needs and design solutions to better serve them. Design and develop 'Scopes of Work' by breaking down customer challenges into a project plan Work closely with forward-deployed Software and Machine learning Engineers to develop agents in the initial post-sales stage Work with AEs and PMs to identify customer-specific feature requests. Drive strategic initiatives to improve the efficiency and effectiveness of the Solution Engineering team.

Ideal candidate will have: Strong engineering background with prior experience working with clients in a pre or post-sales capacity to realise business goals. Prior experience developing with Python, Java and/or other web development languages. Experience working in enterprise SaaS, cloud tech, finance, fintech or similar industries in a technical capacity with end-customer engagement. A track record as a self-starter, motivated to independently unblock technical issues in the field with the customer, away from the mothership. Presentation skills with a high degree of technical credibility when speaking with executives and front-line engineers. High level of comfort communicating effectively across internal and external organisations. Intellectual curiosity, empathy, and ability to operate with high velocity.

Nice to have: GenAI Experience Forward deployed engineering experience Machine Learning Experience

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You will be accountable for securing the “technical win” by unblocking technical challenges. You will interact with customers daily to understand their needs and design solutions to better serve them. You will design and develop “Scopes of Work” by breaking down customer challenges into a project plan. You will work closely with forward-deployed Software and Machine learning Engineers to develop agents in the initial post-sales stage. You will work with Account Executives and Project Managers to identify customer-specific feature requests. You will drive strategic initiatives to improve the efficiency and effectiveness of the Solution Engineering team.

Ideally, you'd have a strong engineering background with prior experience working with clients in a pre or post-sales capacity to realise business goals. You should have prior experience developing with Python, Java and/or other web development languages. You should have experience working in enterprise SaaS, cloud tech, finance, fintech or similar industries in a technical capacity with end-customer engagement. You should have a track record as a self-starter, motivated to independently unblock technical issues in the field with the customer, away from the mothership. You should have presentation skills with a high degree of technical credibility when speaking with executives and front-line engineers. You should have a high level of comfort communicating effectively across internal and external organisations. You should have intellectual curiosity, empathy, and ability to operate with high velocity.

Nice to haves include GenAI Experience, Forward deployed engineering experience, and Machine Learning Experience.

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We're looking for a Backend Engineer to help bring large-scale GenAI systems to production. In this role, you'll build the core infrastructure that powers AI products for some of the world's largest enterprises,designing scalable APIs, distributed data systems, and robust deployment pipelines that enable production-grade reliability and performance.

This is a rare opportunity to be at the center of the GenAI revolution, solving hard backend and infrastructure challenges that make AI truly work at enterprise scale. If you're excited about shaping how AI systems are deployed and scaled in the real world, we want to hear from you.

At Scale, we don't just follow AI advancements , we lead them. Backed by deep expertise in data, infrastructure, and model deployment, we are uniquely positioned to solve the hardest problems in AI adoption. Join us in shaping the future of enterprise AI, where your work will directly impact how businesses operate, innovate, and grow in the age of GenAI.

Responsibilities

• Design, build, and scale backend systems that power enterprise GenAI products, focusing on reliability, performance, and deployment across both Scale's and customers' infrastructure.

• Develop core services and APIs that integrate AI models and enterprise data sources securely and efficiently, enabling production-scale AI adoption.

• Architect scalable distributed systems for data processing, inference, and orchestration of large-scale GenAI workloads.

• Optimize backend performance for latency, throughput, and cost,ensuring AI applications can operate at enterprise scale across hybrid and multi-cloud environments.

• Manage and evolve cloud infrastructure (AWS, Azure, or GCP), driving automation, observability, and security for large-scale AI deployments.

• Collaborate with ML and product teams to bring cutting-edge GenAI models into production through efficient APIs, model serving systems, and evaluation frameworks.

• Continuously improve reliability and scalability, applying strong engineering practices to make AI systems robust, maintainable, and enterprise-ready.

Ideal Candidate

• 4+ years of experience developing large-scale backend or infrastructure systems, with a strong emphasis on distributed services, reliability, and scalability.

• Proficiency in Python or TypeScript, with experience designing high-performance APIs and backend architectures using frameworks such as FastAPI, Flask, Express, or NestJS.

• Deep familiarity with cloud infrastructure (AWS and Azure preferred), including container orchestration (Kubernetes, Docker) and Infrastructure-as-Code tools like Terraform.

• Experience managing data systems such as relational and NoSQL databases (PostgreSQL, DynamoDB, etc.) and building pipelines for data-intensive applications.

• Hands-on experience with GenAI applications, model integration, or AI agent systems,understanding how to deploy, evaluate, and scale AI workloads in production.

• Strong understanding of observability, CI/CD, and security best practices for running services in enterprise or multi-tenant environments.

• Ability to balance rapid iteration with production-grade quality, shipping reliable backend systems in fast-paced environments.

Collaborative mindset, working closely with ML, infra, and product teams to bring complex GenAI systems into production at enterprise scale.

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You will work with Solution Architects to guide customers in architecting production-grade ML & AI applications on Databricks, while aligning their technical roadmap with the continually evolving Databricks Data Intelligence Platform.

You will continue to strengthen your technical skills through applying cutting-edge technologies in GenAI, MLOps, and ML more broadly, expanding your impact through mentorship, and establishing yourself as an AI thought leader.

The impact you will have:

• Architect production-level ML & AI workloads for customers using our unified platform, including agents, end-to-end ML pipelines, training/inference optimisation, integration with cloud-native services, MLOps, etc.

• Serve as trusted practitioner for enterprise GenAI solutions, including RAG architectures, agentic systems (tool-calling agents, multi-agent orchestration, guardrails), natural language querying of structured data, AI evaluation and observability, and monitoring systems

• Build, scale, and optimise customer AI workloads and apply best-in-class MLOps to productionise these workloads across a variety of domains

• Provide advanced technical support to Solution Architects during the technical sale ranging from feature engineering, training, tracking, serving to model monitoring all within a single platform, as well as participating in the larger ML SME community in Databricks

• Collaborate cross-functionally with the product and engineering teams to represent the voice of the customer, define priorities and influence the product roadmap, helping with the adoption of Databricks' AI offerings

What we look for:

• 5+ years of hands-on industry ML experience in at least one of the following:

• ML Engineer: Build and maintain production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring.

• AI Engineer: Experience with the latest techniques in LLMs & agentic systems including vector databases, fine-tuning LLMs, AI guardrail systems, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI

• Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience

• Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike

• Passion for collaboration, life-long learning, and driving business value through ML & AI

• [Preferred] 2+ years customer-facing experience in a pre-sales or post-sales role

• Can meet expectations for technical training and role-specific outcomes within 3 months of hire

• This role can be remote, but we prefer that you be located in the job listing area and can travel up to 30% when needed

Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilising the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $219,100-$301,300 USD

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The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications.

We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team.

This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. This role can be remote.

The impact you will have:

• Develop cutting-edge GenAI solutions, incorporating the latest techniques from our Mosaic AI research to solve customer problems

• Own production rollouts of consumer and internally facing GenAI applications

• Serve as a trusted technical advisor to customers across a variety of domains

• Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally

• Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap

What we look for:

• Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy

• Minimum of 5+ years of relevant experience as a Data Scientist preferably working in a consulting role

• Expertise in deploying production-grade GenAI applications, including evaluation and optimizations

• Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.

• Experience building production-grade machine learning deployments on AWS, Azure, or GCP

• Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience

• Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike

• Passion for collaboration, life-long learning, and driving business value through AI

• Preferred experience using the Databricks Intelligence Platform and Apache Spark to process large-scale distributed datasets

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Your primary responsibility will be to lead conversation design and strategy for a multi-agent AI powered Pinterest Business Assistant to help business users (merchants, advertisers, and agencies) create inspired content, connect with customers, and achieve their business goals.

To succeed in this role, you'll need to act as the voice of the user by becoming an expert in our business products and leveraging research to inform the design of the AI assistant. You'll also drive improvements in prompt and skill management, owning the process from conception to production, and rapidly adapting to new technologies.

In addition to your technical skills, you'll need to be able to collaborate cross-functionally with researchers, product managers, engineers, and stakeholders to establish conversational, cohesive experiences with a unified voice. You'll apply systematic thinking to your work, contributing to scalable, consistent design patterns, and participating in critique to strengthen your designs.

As a Sr. Staff GenAI Content & Conversational Designer, you'll actively seek learning opportunities to grow your craft, define success metrics for novel AI features, and obsess over building trustworthy, high-impact AI systems.

We're looking for someone with a strong background in user-focused product conversation and content design, with experience shaping content for multi-disciplinary projects. You should have experience with LLMs, prompt shaping/engineering and working on AI product flows and with agentic systems. A portfolio demonstrating breadth and creativity and proven experience in content design, design thinking and product strategy is essential.

This position is not eligible for relocation assistance. You'll need to be in the office for in-person collaboration 1-2 times/quarter, and therefore can be situated anywhere in the country.

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You will support deployment success and contribute foundational industry knowledge to our team, helping turn bold ideas into real impact and ensuring engagements run smoothly. In this role, you will work directly with data, engineering, business, and AI leaders at some of the world's top Enterprises.

Within Scale, you will collaborate closely with Machine Learning, Engineering, and Finance teams to streamline execution, improve processes, and shape our approach to enterprise delivery.

The outcome of a DSG Intern's time at Scale should include tangible contributions to live enterprise accounts and the creation of structured intelligence artifacts that benefit the Enterprise Business Unit.

Interns will also participate in weekly sessions with DSG leaders, gain exposure to cross-functional teams across Engineering, Product, and GTM, and receive structured feedback throughout the program.

This is a fast-moving, high-impact internship that provides exposure to customer strategy, operations, product strategy and execution. You will work closely with DSGs who serve as the voice of the customer and support the execution of customer projects.

During the internship, you will contribute to:

Client Leadership & Growth: Support DSGs in managing relationships with enterprise customers and help ensure engagements run smoothly and deliver value Flawless Delivery & Execution: Support delivery across workstreams by helping track timelines, deployment milestones, and operational processes Strategic Account Expansion: Conduct research and analysis to help identify new opportunities within verticals and existing accounts that may drive business impact Cross-Functional Problem Solving: Collaborate with EPD, Finance, and Operations teams while supporting operational improvements and delivery processes Strategic Feedback Loop: Prepare structured insights and executive-ready materials that help inform product strategy and enterprise delivery approaches Mastering Complexity & Ambiguity: Help bring structure and clarity to complex projects through research, analysis, and structured deliverables Industry & Vertical Intelligence: Conduct outside-in research to develop structured insights on enterprise industries and AI opportunities, producing briefs that support account strategy and go-to-market efforts

Ideally, you'd have:

Currently pursuing an MBA or graduate degree with prior experience in consulting (MBB), banking, private equity, technology, or a related analytical field. Prior 4+ years of work experience in high-growth, high-ambiguity environments A technical background (education or professional experience within CS, Economics, Statistics, Engineering or STEM field) Exposure to GenAI solutions via your current role or personal projects A proven track record in building and expanding client relationships Ability to understand core AI / ML concepts and build great relationships with technical customers Great cross-functional experience and collaborative ability Excellent verbal and written communication skills A track record of structured, analytics-driven problem solving A history of diligence and organization across multiple work streams An action-oriented mindset that balances creative problem solving with the scrappiness to ultimately deliver results

Nice to have:

Exposure to enterprise AI or data infrastructure products Deeper industry knowledge in healthcare, consumer, financial services

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Responsibilities:

• Lead Strategic ML/AI Platform Programs: Identify, scope, champion, and deliver high-impact, cross-engineering initiatives critical to advancing Pinterest's ML/AI Platform, GenAI infrastructure, and Agent Platform.
• Operate with an AI-First Execution Mindset: Use GenAI as the default operating model for program execution; producing AI-assisted first drafts of core program artifacts, modernizing high-toil workflows, and synthesizing signals to proactively surface risks, tradeoffs, and escalation paths.
• Prototype AI-Augmented Tools & Workflows: Leverage AI coding assistants to build lightweight solutions that improve decision-making and reduce friction, including dashboards, data analysis, process helpers, and internal tooling.
• Apply Safety-by-Design AI Governance: Follow Pinterest's AI guidance for risk, governance, and compliance; appropriately handling sensitive data, validating AI-generated outputs, documenting assumptions and limitations, and ensuring AI-assisted workflows meet applicable policy and safety expectations before broad adoption.
• Drive Complex Technical Decisions Across Teams: Partner closely with technical domain owners across MLP, Agent Platform (Helix), Core Infra, and Ads to proactively identify, frame, and resolve complex cross-team technical decisions.
• Translate Strategy into Execution: Convert strategic platform priorities into structured, milestone-driven execution plans, operating at both breadth (big picture vision) and depth (driving granular details with engineering teams).
• Shape Planning & Influence Roadmaps: Serve as a thought leader to cross-functional stakeholders during annual and quarterly planning cycles, influencing product and platform roadmap decisions with data-informed perspectives and a deep understanding of organizational priorities and technical tradeoffs.
• Build Scalable Processes & Best Practices: Define, institutionalize, and continuously improve program management processes, frameworks, and tooling, elevating organizational execution capability and enabling teams to operate with greater agility, consistency, and efficiency at scale.
• Drive Cross-Functional Alignment & Communication: Build transparent, adaptive communication channels across Engineering, ML Research, Data Science, Product, Security, and Legal, ensuring stakeholders at all levels have timely, accurate visibility into priorities, status, risks, and decisions.
• Own Program Outcomes End-to-End: Take full accountability for the success of high-impact programs, ensuring measurable delivery through rigorous planning, proactive risk mitigation, and relentless follow-through.

Requirements:

• Experienced Technical Program Manager: 8+ years of TPM or related experience, with a Bachelor's degree in Computer Science or equivalent.
• AI-First Execution Mindset: Demonstrated ability to use GenAI to meaningfully accelerate program planning, operations, and stakeholder communication.
• Workflow Design & AI Fluency: Experience turning repeatable program work into durable, low-toil mechanisms, including strong prompting, vibe coding lightweight scripts and tools, building dashboards, and leveraging agents to improve decision-making and operational throughput.
• Safety-by-Design AI Governance: Comfortable operating within AI governance expectations, including risk assessment, sensitive data handling, model output validation, and auditability.
• ML/AI & Systems Domain Knowledge: Working understanding of Machine Learning, GenAI, LLM serving and inference, AI Agent architectures, DevOps, and systems engineering principles.
• Strategic Vision & Entrepreneurial Leadership: Strong ability to analyze organizational context, anticipate future scenarios, and shape program roadmaps aligned to company-level strategy and OKRs.
• Executive Influence & Thought Leadership: Demonstrated success influencing senior and executive leadership, representing program interests at the highest levels, providing well-reasoned input to critical decisions.
• Analytical Problem-Solving & Risk Mitigation: Strong analytical and decision-making skills with a track record of using data, innovative approaches, and structured frameworks to navigate complexity, resolve ambiguity, and mitigate program risks proactively.
• Operational Excellence at Scale: Demonstrated experience creating and driving efficient, scalable processes and best practices that increase organizational agility.
• Exceptional Communication & Collaboration: Outstanding written, verbal, and interpersonal communication skills, able to distill nuanced, technical concepts for diverse audiences.

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As the Sr. Manager of Engineering in our newly opened NYC engineering hub, you will work closely with product and research on cutting-edge technologies and be responsible for launching and growing new products, playing a key role in defining the future of how AI and data applications are built.

The Databricks AI Gateway is an enterprise control plane for governing, routing, and monitoring LLM endpoints, coding agents, and model serving endpoints on Databricks. AI Gateway lets you standardize, secure, and observe all LLM inference traffic on Databricks, while capturing detailed production data to manage cost, performance, and quality over time.

Key responsibilities include:

• Leading teams building multiple products that enable our customers to use innovative ML/AI techniques to add value to their business
• Working closely with product and research on cutting-edge technologies
• Being responsible for launching and growing new products
• Playing a key role in defining the future of how AI and data applications are built

Requirements include:

• 8+ years of industry experience building and supporting large-scale data or production applications
• Experience building classic ML or GenAI systems
• A passion for building and scaling early-stage products
• Ability to adapt in a fast-paced environment
• Motivated by delivering customer value and impact
• Experience driving company initiatives towards customer satisfaction
• BS/MS/PhD in Computer Science or related majors, or equivalent experience

Pay Range Transparency: Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

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You will work closely with delivery leads, application developers, and other solutions architects, as well as internal and external partners to design, implement, and deliver bleeding edge quantum solutions on state-of-the-art quantum-inspired, quantum annealing, and quantum gate platforms for real-world defense and national security challenges.

The ideal candidate will combine a strong foundation in quantum computing principles with hands-on classical and quantum software development expertise. You will leverage your skills to translate complex problems into (hybrid) quantum algorithms, applications, and services.

This includes developing robust software implementations, and integrate quantum-enhanced solutions into existing and new defense systems.

If you are passionate about applying theoretical quantum concepts to deliver tangible, high-impact results, and thrive in an environment that values innovation, collaboration, and rapid prototyping, we encourage you to apply.

Key Responsibilities: Be a key contributor to the development of next-generation quantum-enhanced Anduril offerings and lead the design, development, and deployment of novel quantum-enhanced applications and services in the defense and national security domain. Develop impactful hybrid quantum algorithms and applications that promise significant decision advantages and focus on practical scalability and real-world applicability. Contribute knowledge of classical and quantum optimization algorithms and tools, evaluating, and communicating their pros and cons, current state-of-the-art, scaling behaviors, trade-offs, and cross-over points. Participate in the full (hybrid) quantum software development lifecycle, from concept and design to testing, deployment, and ongoing maintenance.

Requirements: Bachelor's degree in Computer Science, Quantum Information Science, Physics, Mathematics, or a closely related technical field. 3+ years of hands-on, professional software development experience with C, C++, Python, or another general-purpose compiled programming language. Practical experience in quantum computing, including programming quantum applications, or quantum circuit compilation. Proficiency with one or more leading quantum programming languages, SDKs, or APIs such as Qiskit, CUDA-Q, Q#, Cirq, PennyLane, or similar. Expertise in key mathematical techniques foundational to quantum computing, including linear algebra, matrix decompositions, probability theory, group theory, symmetry, and computational complexity. Proficient with database systems and SQL, with hands-on experience working with relational databases (e.g., PostgreSQL, Oracle, MySQL). Experience with Git version control, build tools, and CI/CD pipelines. Demonstrated understanding and application of software testing principles and practices, including unit testing, integration testing, and end-to-end testing. Strong problem-solving skills, meticulous attention to detail, and the ability to work effectively in a collaborative team environment. Excellent communication and interpersonal skills, with the ability to effectively articulate complex technical concepts to diverse audiences. Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance. Demonstrable hands-on experience using GenAI tools (e.g., OpenAI Codex, Claude Code, Gemini Code Assist, GitHub Copilot, Amazon CodeWhisperer, or similar) for software development, code generation, debugging, and algorithmic exploration.

Preferred Qualifications: Master's or Ph.D. in Quantum Information Science, Physics, Computer Science, or a related quantitative field. Familiarity with leading classical optimization tools and solvers (e.g., CPLEX, Gurobi, OR-Tools) and knowledge of mathematical modeling and classical optimization solution techniques. Experience building and deploying applications to solve complex business or defense problems for customers. Proven record of successful on-time delivery of complex software projects with a high degree of predictability and quality. Experience with deployment of code in distributed environments, cloud application development (e.g., AWS, Azure, GCP), and RESTful API-driven architectures. Experience with high-performance computing (HPC) environments or parallel programming. Familiarity with quantum hardware platforms and their unique characteristics. Prior experience in defense, aerospace, or related industries applying advanced technologies. Willingness to travel up to approximately 10%.

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Dialpad is the AI-native business communications platform. We unify calling, messaging, meetings, and contact center on a single platform - powered by AI that understands every conversation in real time.

As a leading business communications platform, we're now leading the shift to Agentic AI: intelligent agents that don't just analyze conversations but take action by automating workflows, resolving customer issues, and accelerating revenue in real time. Our DAART initiative (Dialpad Agentic AI in Real Time) is redefining what a communications platform can do.

Visit dialpad.com to learn more.

Being a Dialer

At Dialpad, AI isn't just a feature; it's how our teams do their best work every day. We put powerful AI tools in every employee's hands so they can move faster, think bigger, and achieve more. We believe every conversation matters. And we've built the platform that turns those conversations into insight and action, for our customers and ourselves.

We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic.

Your Role

As an AI Productivity Analyst, you'll own a critical role in scouting, evaluating, testing, and piloting third-party AI tools to unlock significant productivity gains across Dialpad. You'll work closely with the Head of AI Transformation and functional leads from Engineering, Design, Marketing, Customer Success, and FP&A to map high-value process bottlenecks and identify AI solutions.

Responsibilities

• Partner with functional leads in Engineering, Design, Marketing, Customer Success, and FP&A to map high-value process bottlenecks.

• Research, shortlist, and demo external GenAI & ML products that can automate or accelerate those workflows.

• Design and run structured experiments (PoCs, A/B tests, pilot roll-outs) to quantify productivity impact and user adoption.

• Develop and present ROI models, providing actionable recommendations to senior leadership.

• Support implementation (including light configuration, prompt engineering, and user training) of selected solutions.

• Track business unit KPIs and OKRs post-deployment; iterate with partners and vendors to hit or exceed the 20% productivity target.

Skills You'll Bring

• Bachelor's degree in Computer Science or comparable technical degree, with a minor or demonstrated interest in Business Analytics, Data Science, (applied) AI, or related fields.

• 1-2 years of relevant experience.

• Demonstrated hands-on fluency with GenAI tools (e.g., Gemini, ChatGPT, Claude, Grok, etc.) in personal or academic projects.

• Solid understanding of AI technologies, machine learning concepts, and their applications in business settings.

• Analytical mindset: able to design experiments, interpret metrics, and separate signals from noise.

• Clear, concise communicator comfortable distilling technical findings for non-technical stakeholders.

• Curiosity, bias for action, and ownership mentality in a fast-moving, ambiguous environment.

• Nice-to-have: experience with SaaS integrations (Zapier, APIs) or low-code automation platforms.

• Solid foundation in Python or SQL; familiarity with data-viz dashboards (Tableau, etc.).

Why Join Dialpad

• Work at the center of the AI transformation in business communications

• Build and ship agentic AI products that are redefining how companies operate

• Join a team where AI amplifies every employee's impact

• Competitive salary, comprehensive benefits, and real opportunities for growth

We believe in investing in our people. Dialpad offers competitive benefits and perks, cutting-edge AI tools, and a robust training program that help you reach your full potential. We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection. Our exceptional culture, repeatedly recognized as a Great Place to Work, ensures that every employee feels valued and empowered to contribute to our collective success.

Don't meet every single requirement? If you're excited about this role and possess the fundamental traits, drive, and strong ambition we seek, but your experience doesn't meet every qualification, we encourage you to apply. Dialpad is an equal-opportunity employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment.

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You will work with Solution Architects to guide customers in architecting production-grade ML & AI applications on Databricks, while aligning their technical roadmap with the continually evolving Databricks Data Intelligence Platform.

Your responsibilities will include:

• Architecting production-level ML & AI workloads for customers using our unified platform, including agents, end-to-end ML pipelines, training/inference optimization, integration with cloud-native services, MLOps, etc.

• Serving as a trusted practitioner for enterprise GenAI solutions, including RAG architectures, agentic systems (tool-calling agents, multi-agent orchestration, guardrails), natural language querying of structured data, AI evaluation and observability, and monitoring systems

• Building, scaling, and optimizing customer AI workloads and applying best-in-class MLOps to productionize these workloads across a variety of domains

• Providing advanced technical support to Solution Architects during the technical sale ranging from feature engineering, training, tracking, serving to model monitoring all within a single platform, as well as participating in the larger ML SME community in Databricks

• Collaborating cross-functionally with the product and engineering teams to represent the voice of the customer, define priorities and influence the product roadmap, helping with the adoption of Databricks' AI offerings

We are looking for someone with 5+ years of hands-on industry ML experience in at least one of the following areas:

• ML Engineer: Build and maintain production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring.

• AI Engineer: Experience with the latest techniques in LLMs & agentic systems including vector databases, fine-tuning LLMs, AI guardrail systems, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI

A graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience is also required.

Additionally, experience communicating and/or teaching technical concepts to non-technical and technical audiences alike is highly valued.

The salary range for this position is $180,000-$247,500 USD, depending on location.

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You will define how agents are sourced, built, evaluated, and scaled,whether developed in-house or with external vendors. This role requires close collaboration with business leaders, engineering, and IT to deliver agents that integrate deeply with enterprise systems and drive measurable business outcomes.

Key responsibilities include:

• Identifying high-impact use cases and designing and launching AI agents
• Defining and owning product roadmaps with measurable outcomes
• Collaborating with business leaders, engineering, and IT to deliver agents that integrate deeply with enterprise systems
• Continuously iterating based on data and user feedback

Requirements include:

• 5-8 years of product management or closely related experience, including hands-on work with AI-, ML-, or automation-powered products
• Proven experience taking AI or data-driven products from concept to launch and driving adoption across multiple teams or functions
• Working knowledge of GenAI concepts (LLMs, embeddings, retrieval, prompt design, evaluation) and experience with AI platforms and APIs such as OpenAI, Gemini, Cohere, Glean, Perplexity, or similar
• Experience defining and owning product roadmaps with measurable outcomes (e.g., time saved, risk reduced, decision quality improved)
• Demonstrated ability to design and run experimentation frameworks, pilots, and A/B tests, using data to inform scale, iteration, or retirement decisions

Preferred qualifications include:

• Experience building or scaling internal copilots or AI agents in an enterprise environment
• Exposure to AI compliance, security, governance, and human-in-the-loop supervision models

If you're a curious and experienced product manager looking to join a dynamic team, please apply!

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As a Technical Product Manager, you will partner with Support, Revenue Operations, program management, and IT to execute the vision, prioritize, and deliver lovable product features that balance innovation with operational excellence.

Key responsibilities include:

User Discovery: Interview internal users to uncover friction points and root causes, translating these insights into detailed functional requirements and clear feature initiatives tied to business outcomes. Cross-Functional Collaboration: Partner with Field, Engineering, and Revenue Operations to scope, plan, and launch 'lovable' products. Outcome Driven: Define and build success metrics directly into the product design phase, using data to inform current execution and future strategy. Innovation: Identify and apply improvements to internal workflows and new feature sets, incorporating GenAI where appropriate. Efficiency & Adoption: Drive internal efficiency, high feature adoption, and operational cost reduction.

Requirements include:

Technical Fluency: A strong technical background with the ability to discuss trade-offs with engineers. Functional Precision: Proven track record of refining high-level business requirements to granular, actionable technical specifications. Analytical Outlook: Professional experience using data to drive continuous improvement and track product-level success. Leadership & Ownership: Ability to operate with high autonomy and ownership in a fast-paced environment, leading cross-team projects to completion. Humble Attitude: A commitment to the success of the team and the company above all else.

Bonus points include familiarity with SQL and platforms like Pendo, Amplitude, Fullstory, or Looker, experience with Elastic Cloud, Elastic Stack, or similar cloud-based search and analytics platforms, and experience or willingness to work in a distributed, remote-first organization.

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You will help organisations move beyond static dashboards to governed, conversational, AI-powered analytics at the centre of the convergence of business intelligence, data platforms, and generative AI. Enterprise analytics is rapidly evolving from dashboards and static reporting to conversational, AI-driven decision platforms. Databricks AI/BI and Genie empower business users to securely interact with governed data using natural language, transforming the data platform into a true decision platform.

Key responsibilities include:

• Partner with Enterprise AEs to identify, qualify, and close AI/BI opportunities
• Engage C-level, analytics, and line-of-business leaders to modernise analytics strategies
• Displace or expand legacy BI platforms with AI-powered, governed analytics solutions
• Lead conversations around semantic governance, self-service analytics, and natural language data access
• Drive proof-of-value engagements and scale enterprise-wide adoption
• Align AI/BI initiatives to measurable business outcomes (productivity, speed to insight, revenue impact)
• Enable field teams and serve as a subject matter expert on modern analytics architectures

Requirements include:

• Enterprise sales experience in BI, analytics, data platforms, or AI/ML
• Strong understanding of modern analytics architectures and data governance
• Ability to sell to both technical and business stakeholders
• Executive presence and experience navigating complex buying cycles
• Passion for AI and the impact of GenAI on enterprise analytics
• Experience operating in a specialist or overlay sales model
• Ability to translate technical capabilities into clear business value
• 7+ years of Enterprise Sales experience, exceeding quotas in larger accounts

Preferred qualifications include:

• Experience with modern BI platforms such as Tableau, Power BI, Looker, or ThoughtSpot
• Familiarity with semantic layers, metrics stores, or governed data models
• Understanding of lakehouse architectures and cloud data platforms
• Exposure to GenAI, natural language interfaces, or conversational applications
• Consulting or solution design experience in customer-facing roles

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As a Staff Product Manager, you will be responsible for building proactive safety frameworks that scale with our growing AI capabilities, partnering deeply with engineering, policy, data science, and design to protect our users while enabling Pinterest to innovate responsibly.

This is a high-impact role for someone who is passionate about the intersection of AI and user safety, and who thrives in ambiguous, fast-evolving problem spaces. You will work at the frontier of responsible AI - anticipating novel harms before they emerge, red-teaming new AI features, and translating complex policy goals into measurable product requirements.

Key responsibilities will include:

• Defining and driving the product roadmap for GenAI safety across Pinterest's AI-powered surfaces
• Leading proactive identification of risks, failure modes, and adversarial attack vectors across AI systems
• Designing structured red-teaming exercises and evaluation frameworks before and after product launches
• Partnering closely with Trust & Safety policy, legal, and ethics teams to translate nuanced content guidelines into precise, buildable product requirements and model guardrails
• Working with engineering, ML, design, data science, policy, legal, comms, and operations teams to define, align, and ship AI safety solutions across global markets and diverse user populations
• Defining and tracking quantitative safety metrics, including fairness audits, false positive/negative rates, disparate impact analysis, and content harm reduction
• Developing and maintaining AI safety incident runbooks and escalation frameworks, and leading rapid triage and remediation when AI systems produce harmful or unexpected outputs

If you're passionate about the intersection of AI and user safety, and thrive in ambiguous, fast-evolving problem spaces, we encourage you to apply.

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This role will lead product management across systems that serve our employees, candidates, HR and People Operations, Talent Acquisition, and Legal teams. You will be the connective tissue between People, Legal, IT, Security, and Finance , designing and shipping platforms, workflows, and automations that are delightful, compliant, and highly efficient.

Deliver a unified “hire-to-retire and contract lifecycle” experience that reduces friction and manual work for employees, candidates, managers, HR and People Ops, Talent Acquisition, and Legal stakeholders.

Define and own the product vision and strategy for our People Tech and Legal systems ecosystem, spanning HRIS, ATS, performance and engagement tools, learning platforms, compensation, employee relations tooling, and CLM and Legal platforms.

Lead end-to-end product delivery for People Tech and Legal systems, including discovery, requirements, prioritization, launch, adoption, and continuous improvement, with a strong focus on measurable business outcomes.

Use automation, integrations, and GenAI-driven workflows to transform processes such as recruiting, onboarding, internal mobility, performance cycles, policy and document management, and contract review, approvals, and renewals.

Establish and own clear product metrics (for example SLA adherence, time-to-hire, time-to-onboard, cycle time for contract workflows, data quality, and control health) and run the roadmap to move those metrics in meaningful ways.

Partner with Legal, Compliance, Security, and Finance to embed pragmatic controls into systems and workflows, ensuring People and Legal platforms support SOX, SOC 2, privacy, and regulatory requirements while still enabling high-velocity operations.

Act as the principal product partner for People and Legal leadership, influencing how we scale our operating models, controls, and user experience as the company grows, and setting standards other product areas rely on.

We are looking for a strategic thinker, structured problem solver, fast mover, thoughtful risk taker, and deeply customer-obsessed product leader who can operate at both architecture and execution levels.

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Key responsibilities include:

• Designing and building scalable, secure, and resilient integrations across CoreWeave's HR, Finance, and Security environments
• Integrating with HR systems such as Workday, Greenhouse, Okta, and Workato
• Collaborating with HR, IT, and Security teams to drive automation and data accuracy across key lifecycle processes
• Troubleshooting and resolving integration issues

To be successful in this role, you will need to have a strong understanding of HR processes across payroll, benefits, onboarding, and compliance, as well as hands-on experience with Workday Studio, Cloud Connect, and EIBs. Experience integrating with Greenhouse and identity platforms like Okta is also highly desirable.

In addition to your technical skills, you will need to be able to communicate effectively with stakeholders at all levels, both technical and non-technical. You will also need to be able to work independently and as part of a team, with a strong attention to detail and ability to meet deadlines.

If you are a motivated and experienced Integration Engineer looking for a new challenge, please apply today!

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Your responsibilities will include partnering with PMs, developers, and cross-functional teams to dig deep into user needs, shaping innovative solutions that resonate. You'll conduct user research activities such as interviews, surveys, usability testing, and data analysis to uncover user problems, behaviours, and motivations.

You'll synthesise research findings into actionable insights that guide the design process, ensuring our products meet real user needs. You'll craft intuitive and engaging interaction designs that balance aesthetics and usability, ensuring seamless experiences across all touchpoints.

You'll bring user experiences to life at every stage,from early sketches to polished prototypes,using wireframes, flow diagrams, storyboards, mockups, and high-fidelity designs. You'll continuously evolve product experiences by blending user feedback with business insights, ensuring we deliver significant improvements.

As a Senior Product Designer, you'll champion design-driven decisions that push for refinement, enhancement, and a user-first approach across the board.

To succeed in this role, you'll need 5+ years of proven experience in product design within a B2B-focused company, demonstrating growing confidence in designing complex features. You'll be proficient with product design tools (we use Figma and Figjam), comfortable and confident in communicating and discussing design decisions, and eager to learn and grow, actively seeking feedback and mentoring from senior designers.

Bonus points if you have experience designing data-intensive user experiences, contributing to an established design system, designing automation or GenAI-powered products, or working on complex technical products.

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We work closely with some of the most advanced AI teams in the world, helping them build, optimize, and scale their ML and GenAI workflows across industries such as computer vision, robotics, natural language processing, and large language models (LLMs).

We’re hiring an AI Solutions Engineer, Post-Sales to help customers solve real-world problems by enabling them to implement and scale ML pipelines and agentic workflows using Weights & Biases. In this role, you’ll collaborate with engineering teams to ensure smooth onboarding and adoption, act as a trusted advisor on best practices, and represent the voice of the customer internally.

You will partner directly with leading AI teams to optimize workflows, share technical expertise, and influence our product roadmap based on real-world customer feedback.

This is an ideal opportunity for ML practitioners who are customer-focused and eager to work with top AI companies globally.

Responsibilities

• Collaborate with engineering teams to ensure smooth onboarding and adoption of Weights & Biases
• Act as a trusted advisor on best practices for implementing and scaling ML pipelines and agentic workflows
• Represent the voice of the customer internally and influence our product roadmap based on real-world customer feedback
• Partner directly with leading AI teams to optimize workflows and share technical expertise

Requirements

• 3–5 years of relevant experience in a similar role
• Strong programming proficiency in Python
• Hands-on experience enabling production-grade ML systems, with a focus on training and inference pipelines, experiment tracking, deployment patterns, and observability using deep learning frameworks (TensorFlow/Keras, PyTorch/PyTorch Lightning) and MLOps tooling (e.g. Airflow, Kubeflow, Ray, TensorRT)
• Familiarity with cloud platforms (AWS, GCP, Azure)
• Experience with GenAI/LLMs and related tools (e.g. LangChain/LangGraph, HuggingFace Transformers, Pinecone, Weaviate)
• Strong experience with Linux/Unix
• Excellent communication and presentation skills, both written and verbal
• Ability to break down and solve complex problems through customer consultation and execution

Preferred

• Background in robotics
• TypeScript experience
• Proficiency with Fastai, scikit-learn, XGBoost, or LightGBM
• Background in data engineering, MLOps, or LLMOps, with tools such as Docker and Kubernetes
• Familiarity with data pipeline tools

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You will influence data strategy, drive build-vs-buy evaluations, and meaningfully shift Komodo's AI-native infrastructure and culture. Your responsibilities will include:

• Helping design company-wide AI vision, standards, and reference architectures.
• Defining and building foundational AI platforms (e.g., internal agent frameworks, orchestration systems).
• Acting as a multiplier by mentoring teams, running workshops, and driving organizational knowledge sharing.
• Making high-level technical decisions, including evaluating major build-vs-buy choices for platforms and tooling.
• Shaping Komodo's data strategy from an AI perspective,requirements, quality, orientation, and long-term structure.
• Leading complex applied research initiatives that push Komodo into new AI capability frontiers.
• Ensuring Komodo's AI systems meet high bars for reliability, accountability, ethics, and transparency.

The ideal candidate will be a recognized expert in applied AI with demonstrated impact across multiple teams or organizational domains. They will have extensive experience architecting end-to-end AI systems, multi-agent architectures, and large-scale orchestration frameworks. They will also have strong fluency in Python, GenAI frameworks (vLLM, Strands, Crew AI), and full-stack system integration.

We offer a competitive salary range of $274,000-$322,000 USD per year, depending on location. This role may be eligible for performance-based bonuses and equity awards. We also offer comprehensive health, dental, and vision insurance, flexible time off and holidays, 401(k) with company match, disability insurance and life insurance, and leaves of absence in accordance with applicable state and local laws and regulations and company policy.

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Dialpad is the AI-native business communications platform. We unify calling, messaging, meetings, and contact center on a single platform - powered by AI that understands every conversation in real time.

More than 70,000 companies around the globe, including WeWork, Asana, NASDAQ, AAA Insurance, COMPASS Realty, Uber, Randstad, and Tractor Supply, rely on Dialpad to build stronger customer connections using real-time, AI-driven insights.

We’re now leading the shift to Agentic AI: intelligent agents that don’t just analyse conversations but take action by automating workflows, resolving customer issues, and accelerating revenue in real time.

Our DAART initiative (Dialpad Agentic AI in Real Time) is redefining what a communications platform can do. Visit dialpad.com to learn more.

Being a Dialer

At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more.

We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves.

We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level.

We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic.

Your Role

As an AI Productivity Analyst, you’ll own a critical role in scouting, evaluating, testing, and piloting third-party AI tools to unlock significant productivity gains across Dialpad.

You’ll work closely with the Head of AI Transformation and functional leads from Engineering, Design, Marketing, Customer Success, and FP&A to map high-value process bottlenecks and identify AI solutions.

You’ll also help create structured experiments and pilot programs that demonstrate measurable business impact.

In addition, you’ll help bring cutting-edge AI technology into practical application, supporting implementation and tracking success to drive our internal AI transformation.

This position reports to our Head of AI Transformation and has the opportunity to be based in our San Ramon, CA, office.

What You’ll Do

• Partner with functional leads in Engineering, Design, Marketing, Customer Success, and FP&A to map high-value process bottlenecks.

• Research, shortlist, and demo external GenAI & ML products that can automate or accelerate those workflows.

• Design and run structured experiments (PoCs, A/B tests, pilot roll-outs) to quantify productivity impact and user adoption.

• Develop and present ROI models, providing actionable recommendations to senior leadership.

• Support implementation (including light configuration, prompt engineering, and user training) of selected solutions.

• Track business unit KPIs and OKRs post-deployment; iterate with partners and vendors to hit or exceed the 20% productivity target.

Skills You’ll Bring

• Bachelor’s degree in Computer Science or comparable technical degree, with a minor or demonstrated interest in Business Analytics, Data Science, (applied) AI, or related fields.

• 1-2 years of relevant experience.

• Demonstrated hands-on fluency with GenAI tools (e.g., Gemini, ChatGPT, Claude, Grok, etc.) in personal or academic projects.

• Solid understanding of AI technologies, machine learning concepts, and their applications in business settings.

• Analytical mindset: able to design experiments, interpret metrics, and separate signals from noise.

• Clear, concise communicator comfortable distilling technical findings for non-technical stakeholders.

• Curiosity, bias for action, and ownership mentality in a fast-moving, ambiguous environment.

• Nice-to-have: experience with SaaS integrations (Zapier, APIs) or low-code automation platforms.

• Solid foundation in Python or SQL; familiarity with data-viz dashboards (Tableau, etc.).

Why Join Dialpad

• Work at the center of the AI transformation in business communications

• Build and ship agentic AI products that are redefining how companies operate

• Join a team where AI amplifies every employee’s impact

• Competitive salary, comprehensive benefits, and real opportunities for growth

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Key Responsibilities:

• Technical Contract Review: Perform detailed reviews of customer arrangements to evaluate and document revenue accounting treatment according to ASC 606.
• Month-End Operations: Execute month-end close procedures, including preparing revenue-related journal entries, reconciliations, and fluctuation analyses.
• Cross-Functional Partnership: Partner with Sales Operations and Deal Desk to ensure contract terms are clearly understood and correctly set up in our billing and revenue systems.
• Process Automation: Assist in documenting Standard Operating Procedures (SOPs) and identifying manual workflows that can be streamlined through automation.
• Strategic Reporting: Assist in the preparation of revenue-related financial statement disclosures and support the annual assessment of Standalone Selling Price (SSP).
• Data Mastery: Utilize advanced Excel techniques to manipulate large datasets, ensuring accuracy across our revenue reporting.

Requirements:

• Technical Foundation: 3+ years of dedicated revenue accounting experience with a strong command of the ASC 606 five-step model.
• Advanced MS Excel Proficiency: Mastery of Excel (including XLOOKUP/VLOOKUP, Pivot Tables, Power Query, and complex data modeling) to manipulate large, disparate datasets and extract actionable financial insights.
• Data-Driven Analytical Rigor: A detail-oriented mindset capable of performing complex reconciliations and identifying variances in high-volume transaction environments.
• Systems Familiarity: Experience with ERPs like NetSuite and CRMs like Salesforce; exposure to revenue automation tools (e.g., NetSuite ARM or Zuora RevPro) is a strong plus.
• Outcome-Driven Mindset: A self-disciplined professional who thrives in fast-paced environments and is eager to take ownership of complex technical reconciliations.
• Professional Attributes: A detail-oriented professional who is outcome-driven, self-disciplined, and thrives in a fast-paced environment.
• Ownership: A proactive individual eager to take ownership of complex reconciliations and technical accounting challenges.
• Education: Bachelor’s degree in Accounting; experience within a Big 4 or large regional public accounting firm is strongly preferred.

Leveraging GenAI in this Role:

• Summarize Complex Agreements: Quickly extract key revenue triggers from lengthy legal documents.
• Draft Documentation: Assist in generating initial drafts for technical accounting memos and Standard Operating Procedures.
• Data Cleaning: Use AI-assisted tools to identify anomalies in large datasets before performing final reconciliations in Excel.

Your First 90 Days at Komodo Health:

The First 30 Days: Immersion

• Product Knowledge: Deep dive into Komodo’s product stack (Sentinel, Prism, etc.) to understand the underlying delivery mechanisms (SaaS vs. Data Licenses).
• Audit Trail: Review the prior year’s revenue audit workpapers and current technical memos to understand the historical application of ASC 606.
• Stakeholder Sync: Establish relationships with the Deal Desk, Sales Ops, and Legal teams to understand the current contract-to-cash workflow.

The First 60 Days: Execution

• Close Ownership: Take full ownership of the monthly revenue close cycle, including managing the revenue waterfall and preparing relevant revenue journal entries.
• Process Assessment: Identify at least two manual “workarounds” in the current revenue process and propose an automation plan within the ERP.
• Contract Checklist Preparation: Review contracts and prepare revenue checklists in accordance with ASC 606.

The First 90 Days: Impact

• SSP Evolution: Gain a comprehensive understanding of the revenue footnote disclosures and how to prepare them.
• Technical Leadership: Assist the team with gathering the necessary relevant data and preparing ad hoc analysis for the purpose of drafting technical memos.
• Audit Readiness: Organize the revenue documentation folder to be “evergreen,” ensuring the team is prepared for the next interim audit with zero lag time.

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Key to your success will be your ability to foster and leverage the Elastic Community, adopt a bottom-up and "Cloud-first" approach with our users, and continually be thinking in terms of solutions, rather than products.

Responsibilities:

• Lead, mentor and grow the Solutions Architecture (Sales Engineering) team.
• Provide the growing team with onboarding support, training and self-directed education programs.
• Drive the value proposition for Elastic Cloud within our community and customers.
• Communicate and align key product insights across our business functions.
• Help our Product and Engineering teams prioritize features that mean the most to our users.
• Formulate and drive the partner engagement strategy to overachieve regional goals.

What We Are Looking For:

• Success leading and growing a team of Solution Architects (Sales Engineers).
• Evidence of the ability to articulate and sell the benefits of our platforms and technologies, primarily in the security space.
• A strong grasp of distributed systems and architectures.
• Ability to "own the room" while presenting and selling with audiences both large and small.
• Player coach with a sincere interest in continuous growth in yourself and your team

Bonus Points:

• Experience in open source is a plus
• Knowledge of Observability
• Knowledge of Enterprise Search, Big Data, GenAI, Security preferred

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Training and deploying foundation models places unprecedented demands on our systems. You will define the technical strategy and build the core infrastructure that enables machine learning engineers and researchers to seamlessly train, evaluate, and iterate on large language models at Reddit scale.

• Drive GenAI Infrastructure Strategy: Propose, design, and lead the architecture of our next-generation LLM platform, significantly advancing our capabilities to support large-scale foundation models that serve millions of redditors.
• Design Resilient, Large-Scale Distributed Systems: Architect highly fault-tolerant training infrastructure capable of supporting multi-week, distributed workloads across massive GPU clusters.
• Build Self-Serve LLM Workflows: Design and implement robust, production-grade pipelines for LLM fine-tuning (e.g., SFT, RLHF/DPO).
• Develop Comprehensive Evaluation & Benchmarking Infrastructure: Treat model evaluation as a first-class platform capability.
• Architect Advanced Data Ingestion Pipelines: Extend our distributed data platforms to natively and efficiently handle the massive, multimodal datasets (text, image, video) required for modern GenAI workloads,

You will have 10+ years of work experience in a production software development environment or building complex distributed data systems, plus a degree in ML, Engineering, Computer Science, or a related discipline.

GenAI/LLM Infrastructure Expertise: Proven track record of designing and operating large-scale ML systems, specifically working with distributed training frameworks (e.g., FSDP, DeepSpeed, Megatron-LM) and LLM serving/inference optimization (e.g., vLLM, TensorRT-LLM).

Distributed Systems Mastery: Hands-on experience managing fault-tolerant, petabyte-scale distributed systems and multi-node/multi-GPU training clusters.

Advanced MLOps Knowledge: Deep understanding of modern ML orchestration, fine-tuning pipelines, and model evaluation methodologies.

GPU Experience: Hands-on practice with CUDA environments, GPU virtualization/containerization, and doing it all within Kubernetes.

Production Engineering Fundamentals: Hands-on experience with Kubernetes, Docker, and building production-quality, object-oriented code in Python and/or Go.

Strong focus on scalability, reliability, performance, and ease of use.

You are an undying advocate for platform users and have a deep intuition for the machine learning development lifecycle.

Strong organizational & communication skills.

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Your primary responsibilities will include designing and building end-to-end GenAI-powered applications, implementing and integrating LLM-based experiences, defining and implementing operational excellence standards, developing responsive and accessible frontend interfaces, and ensuring security, privacy, and test coverage across the full stack.

To be successful in this role, you will need strong full-stack engineering skills, with an emphasis on both AI integration and building intuitive, performant UIs that make AI accessible and useful to our internal customers. You will also need to collaborate with software engineers, product managers, and designers to build secure, intelligent tools for employees across Okta.

In addition to your technical skills, you will need to have excellent communication and teamwork skills, with a strong sense of user empathy and technical ownership. You will also need to be able to contribute to architecture decisions, engineering standards, and best practices for AI/automation systems.

If you are a motivated and experienced software engineer with a passion for AI and automation, we encourage you to apply for this exciting opportunity.

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The ideal candidate possesses deep expertise in classical optimization algorithms, robust Python programming skills, and a solid foundation in data modeling. Experience with developing hybrid quantum optimization solutions is a plus.

You will leverage state-of-the-art, GenAI-powered development tools such as Claude Code to accelerate solution development and enhance our optimization software. This role demands creative problem-solving, a self-starter mentality, and the ability to rapidly apply algorithmic theory and mathematic modeling to practical, real-world optimization challenges.

You will be designing, implementing, and deploying optimization algorithms and services that integrate seamlessly into larger defense systems, working across various platforms (on-prem, cloud, and hybrid quantum computing environments).

Familiarity with modeling linear and non-linear optimization problems, rapid prototyping, integrating optimization solutions into existing architectures, leveraging APIs, and utilizing open-source tools will be crucial.

If you thrive in a dynamic environment that values creative problem-solving, love writing code, excel as both an individual contributor and team player, are eager to learn, and bring a can-do attitude, this role is for you.

Key Responsibilities:

• Design, develop, and implement highly efficient optimization algorithms and software solutions to solve challenging problems in areas such as resource allocation, scheduling, routing, mission planning, control systems, and supply chain logistics.

• Apply classical optimization techniques (e.g., linear programming, mixed-integer linear programming, combinatorial optimization, network flow, dynamic programming, heuristics, metaheuristics) to model and explore novel approaches.

• Utilize GenAI tools (e.g., OpenAI Codes, Claude Code, GitHub Copilot) to rapidly prototype, refine, and test algorithmic solutions, improving development velocity and code quality.

• Develop robust data models and efficient data pipelines to support complex optimization problems, ensuring data integrity and efficient processing for algorithmic inputs and outputs.

• Collaborate with multidisciplinary teams (software engineers, data scientists, domain experts, product managers) to integrate optimization engines and services into larger defense systems and platforms.

• Perform rigorous testing, validation, and performance analysis of optimization solutions, ensuring scalability, reliability, and accuracy under diverse operational conditions.

• Participate actively in the entire Software Development Lifecycle (SDLC) from requirements gathering and design to deployment, monitoring, and maintenance.

• Support Anduril- and customer-funded R&D efforts, contributing to technical documentation, presentations, and patent applications.

Requirements:

• Bachelor's degree in Computer Science, Software Engineering, Applied Mathematics, Operations Research, or a related quantitative field.

• 3+ years of professional experience in software development with a dedicated focus on optimization, algorithmic problem-solving, or operations research.

• Experience solving optimization problems in defense, transportation, supply chain, logistics, network optimization, smart grids or similar.

• Expert proficiency in Python for scientific computing and robust software development.

• Strong theoretical and practical understanding of classical optimization algorithms (e.g., linear programming, mixed-integer linear programming, constraint programming, network flow, dynamic programming, heuristics, meta heuristics).

• Hands-on experience with optimization libraries and commercial/open-source solvers (e.g., SciPy Optimize, PuLP, CVXPY, Gurobi, CPLEX, OR-Tools, GEKKO).

• Solid experience with data modeling, data structures, and algorithms to efficiently prepare, process, and manage data for optimization problems.

• Demonstrable hands-on experience using GenAI tools (e.g., OpenAI Codex, Claude Code, Gemini Code Assist, GitHub Copilot, Amazon CodeWhisperer, or similar) for software development, code generation, debugging, and algorithmic exploration.

• Proficiency in using numerical computing libraries such as NumPy, SciPy, and Pandas.

• Demonstrated understanding and application of software testing principles and practices, including unit testing, integration testing, and end-to-end testing.

• Ability to develop, test, and deploy software effectively on Linux-based systems.

• Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance.

• Experience with Git version control, build tools, and CI/CD pipelines.

• Strong problem-solving skills, meticulous attention to detail, and the ability to work effectively in a collaborative team environment.

• Excellent communication and interpersonal skills, with the ability to effectively articulate complex technical concepts to diverse audiences.

Preferred Qualifications:

• Master's or Ph.D. in Computer Science, Applied Mathematics, Operations Research, or a closely related quantitative field.

• Familiarity with or a strong interest in quantum optimization algorithms, quantum computing concepts, or quantum-inspired heuristic approaches.

• Experience with D-Wave’s quantum annealing platform is a plus.

• Experience with performance-critical programming languages such as C++ or Java.

• Experience with cloud platforms (e.g., AWS, Azure, GCP) for deploying scalable optimization solutions or high-performance computing (HPC) environments.

• Prior experience in defense, aerospace, logistics, supply chain management, robotics, or manufacturing optimization domains.

• Familiarity with integrating machine learning models with optimization techniques (e.g., prescriptive analytics, reinforcement learning for optimization).

• Excellent communication skills with the ability to articulate complex technical concepts, present findings, and influence technical direction across diverse teams.

• Willingness to travel up to approximately 10%.

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Job Description: The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our federal government customers build and productionize first-of-its-kind AI applications.

Responsibilities:

• Develop cutting-edge GenAI solutions, incorporating the latest techniques from our Mosaic AI Research to solve customer problems.
• Own production rollouts of consumer and internally facing GenAI applications.
• Serve as a trusted technical advisor to customers across a variety of domains.
• Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally.
• Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap.

What We Look For:

• Experience working with U.S. federal civilian, state, or local agencies.
• Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy.
• Expertise in deploying production-grade GenAI applications, including evaluation and optimizations.
• Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools (i.e., pandas, scikit-learn, PyTorch, etc.).
• Experience building production-grade machine learning deployments on AWS, Azure, or GCP.
• Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience.
• Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike.
• Passion for collaboration, life-long learning, and driving business value through AI.

Pay Range Transparency:

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.

Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location.

Based on the factors above, Databricks anticipates utilizing the full width of the range.

The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

For more information regarding which range your location is in visit our page here.

Local Pay Range $180,656-$248,360 USD

Benefits:

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.

For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion:

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel.

We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.

Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance:

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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Working in Snowflake, dbt, Tableau, and VS Code, you'll turn ambiguous business questions into trusted, well-documented data products that serve as a single source of truth for performance and targets versus actuals. You'll also help improve our Enterprise Analytics handbook and core data foundations so strategy, processes, and metric definitions are clear and usable in our all-remote, values-driven environment.

Responsibilities:

• Build and maintain executive-facing scorecards, go-to-market performance views, and new-customer reporting that connect pipeline, bookings, and product usage signals into targets-versus-actuals tracking by motion.

• Design performant, reusable Tableau Cloud data sources and help shape the underlying dbt models so reporting layers are stable, governed, and aligned to single-source-of-truth patterns.

• Collaborate with Analytics Engineering and Data Engineering to improve dbt models that support reliable, scalable reporting for business stakeholders.

• Document metric logic, data lineage, and Tableau usage patterns in the handbook so stakeholders can understand how data products are built and used.

• Implement and monitor data quality checks and reconciliations across Snowflake, Salesforce, and other go-to-market systems to strengthen trust in company-level reporting.

• Partner with Revenue Operations, Finance, and go-to-market analysts and stakeholders to define questions, align on metric definitions and pacing logic, and deliver dashboards and deep-dive analyses.

• Present insights in a clear, actionable way for both operational and executive audiences so teams can make better decisions faster.

• Share best practices in SQL, data visualization, and go-to-market analytics, including code reviews and pairing support on high-priority dashboards.

Requirements:

• Strong analytical skills with the ability to frame ambiguous business questions, structure analysis, and translate findings into clear recommendations for go-to-market and executive stakeholders.

• Advanced SQL skills working with large, complex data models, preferably in Snowflake, including joining many tables and building reusable queries and views.

• Proven experience building executive-facing dashboards in Tableau or a similar business intelligence tool, including data source design, performance tuning, and visualization best practices.

• Deep understanding of go-to-market concepts such as new-customer and first-order metrics, pipeline, bookings, Net ARR, go-to-market motions, sales segments, and marketing funnel metrics.

• Strong command of GenAI tools for daily use in your work and the judgment to use them effectively to improve speed and quality.

• Ability to communicate complex analyses in a clear, concise way through presentations, written narratives, and data visualizations for both technical and non-technical audiences.

• Comfort working in an all-remote, asynchronous environment, with a high level of ownership and the ability to drive work forward independently.

• Alignment with GitLab's values and openness to applying transferable skills from related analytics, revenue operations, or business intelligence roles.

• Experience with dbt and modern analytics engineering patterns, including trusted marts, certified sources, and documented lineage, is helpful but not required.

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Contribute to the design, implementation, and maintenance of the LLM Gateway, focusing on features like unified API endpoints for internal/externally hosted LLM, rate/token limit management, and intelligent failover mechanisms to boost uptime and reliability.

Lead and execute the vision, strategy, and roadmap for Reddit's large-scale GenAI Platform.

Define the platform architecture and operating model that enable teams to build, deploy, and scale GenAI products reliably.

Drive the strategy for a unified LAG Gateway supporting internally and externally hosted LLMs through consistent APIs and abstractions.

Set the direction for core platform capabilities such as rate and token limit management, intelligent failover, and production resilience.

Shape Reddit's approach to an enterprise-grade RAG system.

Establish the strategic direction for agentic AI workflows and tool-use patterns across the platform.

Own the end-to-end platform strategy from concept through production adoption and long-term evolution.

Drive MLOps and LLMOps standards across CI/CD, testing, versioning, evaluation, and lifecycle management.

Define best practices for observability, monitoring, governance, and operational excellence across GenAI systems.

Partner across engineering, product, and leadership to align platform investments with company priorities and user needs.

Champion platform thinking with a strong focus on scalability, reliability, performance, and developer experience.

Influence technical direction across teams by turning emerging AI capabilities into a scalable platform strategy.

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In this role, you will set technical direction and lead execution for ML evaluation and the end-to-end data flywheel powering CSxAI products. Your work will define how we measure quality, how we turn feedback into learning signals, and how we continuously improve models and products safely and efficiently.

You will partner closely with product, engineering, design, and operations to build evaluation systems that are trusted, scalable, and actionable - connecting offline metrics to online outcomes.

A typical day in this role will involve working with large-scale structured and unstructured data, exploring, experimenting, building, and continuously improving Machine Learning models and pipelines for Airbnb product, business, and operational use cases.

You will work collaboratively with cross-functional partners, including product managers, operations, and data scientists, to identify opportunities for business impact, understand, refine, and prioritize requirements for machine learning, and drive engineering decisions.

Hands-on development, productionization, and operation of Machine Learning models and pipelines at scale, including both batch and real-time use cases, will also be a key part of this role.

You will leverage third-party and in-house Machine Learning tools and infrastructure to develop reusable, highly differentiating, and high-performing Machine Learning systems, enable fast model development, low-latency serving, and ease of model quality upkeep.

Your expertise will be critical in defining evaluation strategy and success metrics for GenAI systems, aligning offline evaluation with online business and customer experience outcomes.

You will build and scale evaluation frameworks with strong controls for bias, drift, and reliability, design the data flywheel, and lead cross-functional quality initiatives across product, ops, and engineering.

You will develop and productionize pipelines for dataset creation, model monitoring, evaluation-at-scale, and continuous testing, and drive technical decisions and architecture for evaluation and data infrastructure.

Minimum qualifications for this role include a PhD in Computer Science, Mathematics, Statistics, or a related technical field, industry experience of 10+ years building, testing, and shipping ML/AI systems end-to-end, and leadership experience of 5+ years leading large, ambiguous technical initiatives as a senior IC.

Preferred qualifications include customer support systems experience, infrastructure and quality at scale experience, agile practice for applied AI experience, and continuous learner experience.

This position is US-Remote Eligible, and the role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager.

Our job titles may span more than one career level, and the actual base pay is dependent upon many factors, such as training, transferable skills, work experience, business needs, and market demands.

The base pay range is $244,000-$305,000 USD, and this role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

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Responsibilities:

• Develop cutting-edge GenAI solutions, incorporating the latest techniques from our Mosaic AI research to solve customer problems
• Own production rollouts of consumer and internally facing GenAI applications
• Serve as a trusted technical advisor to customers across a variety of domains
• Present at conferences such as Data + AI Summit

Requirements:

• Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy
• Expertise in deploying production-grade GenAI applications, including evaluation and optimizations
• Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.
• Experience building production-grade machine learning deployments on AWS, Azure, or GCP
• Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
• Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
• Passion for collaboration, life-long learning, and driving business value through AI

Benefits: At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please click here.

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Your expertise will be crucial in building proactive security strategies that align with our business goals and protect the company from an ever-evolving threat landscape. This position demands deep expertise in security principles and a comprehensive understanding of the entire infrastructure stack and IAM systems to design robust, future-ready security solutions.

You will be instrumental in safeguarding our systems' resilience and integrity against ever-evolving cyber threats. You will play a critical role in shaping our security strategy for modern platforms across AWS, Azure, GCP, network infrastructure, storage, and SaaS solutions, help establish a strong least privilege (PoLP) model, providing specialized IAM expertise, and securely supporting SaaS with sensitive information (NHI).

You will also be a key contributor in building our internal strategy for secure AI development. Additionally, you will support the secure integration of SaaS platforms such as Google Workspace, collaboration tools, and GTM systems, maintaining alignment with enterprise security standards.

Close collaboration with cross-functional teams is essential to embed security throughout the technology stack.

The impact you will have:

• Design and implement secure, scalable reference architectures for the Databricks IT across Cloud Infra (Compute, DBs, Network, Storage), SaaS, Custom Built Applications, Data & AI systems.
• Establish and enforce security controls for: Core Security Areas: - Databricks Workspace Management: Workspace isolation, Unity Catalog for data governance.
• Secure Networking: VPC configs, PrivateLink, IP Allow Lists.
• Identity and Access Management (IAM): SSO, SCIM user provisioning, RBAC via Un, Strong MFA best practices for enterprise identities and customers.
• Data Encryption: At rest and in transit, customer-managed keys for critical assets.
• Data Exfiltration Prevention: Admin console settings, VPC endpoint controls.
• Cluster Security: User isolation, compliance with enhanced security monitoring/Compliance Security Profiles (HIPAA, PCI-DSS, FedRAMP).
• Offensive Security: Test and challenge the effectiveness of the organization’s security defenses by mimicking the tactics, techniques, and procedures used by actual attackers.
• Specialized Security Functions: - Non-human Identity Management: Design and implement secure authentication and authorization for automated systems (service accounts, API keys, machine identities), focusing on automation and integration with existing identity management systems.
• IAM Best Practices: Develop and document comprehensive Identity and Access Management policies, including user provisioning, de-provisioning, access reviews, privileged access management, and multi-factor authentication, ensuring security and compliance.
• Data Loss Prevention (DLP): Implement DLP solutions to identify, monitor, and protect sensitive data across endpoints, networks, and cloud environments, preventing unauthorized access, use, or transmission.
• SaaS Proxy Design and Implementation: Design and implement cloud-based proxies for SaaS applications (SASE solutions) to provide secure access, enforce security policies, monitor user activity, and protect against threats.
• Cloud Infrastructure Best Practices: Establish and document best practices for VPC configurations, cloud networking, and infrastructure as code using Terraform, ensuring secure network segmentation, routing, firewalls, and VPNs for consistent, automated, and secure deployments.
• Least Privilege Access for Data Security: Design and implement data security controls based on the principle of least privilege, ensuring users and systems have only the minimum necessary access through fine-grained controls, data classification, and regular access reviews.
• Guide internal IT on Databricks’ security and compliance certifications (SOC 2, ISO 27001/27017/27018, HIPAA, PCI-DSS, FedRAMP), and support security reviews/audits.
• Support incident response, vulnerability management, threat modeling, and red teaming using audit logs, cluster policies, and enhanced monitoring.
• Stay current on industry trends and emerging threats in GenAI, AI Agentic flow, MCPs to enhance security posture.
• Advise executive leadership on security architecture, risks, and mitigation.
• Mentor security engineers and developers on secure design and best practices.

What we look for:

• Bachelor’s degree in Computer Science, Information Security, Engineering, or a related field
• Master’s degree in Computer Science specifically in Information Security or a related discipline is strongly preferred
• Minimum 12 years in cybersecurity, with 5+ in security architecture or senior technical roles.
• Experience in FedRAMP High systems/ GovCloud preferred.
• Must have direct experience designing and securing enterprise platforms in complex multi-cloud environments, deep knowledge of enterprise architecture and security features (control plane/data plane separation, network infra, workspace hardening, network segmentation/ isolation), and hands-on experience automating security controls with Terraform and scripting.
• Proven expertise securing data analytics pipelines, SaaS integrations, and workload isolation in enterprise ecosystems.
• Experience with Enterprise Security Analysis Tools and monitoring/security policy optimization.
• Deep experience in threat modeling, design, PoC, and implementing large-scale enterprise solutions.
• Extensive hands-on experience in AWS cloud security, network security, with knowledge of Zero Trust, Data Protection, and Appsec.
• Strong understanding of enterprise IAM systems (Okta, SailPoint, VDI, Entra ID) and Data Protection.
• Expert experience with SIEM platforms, XDR, and cloud-native threat detection tools.
• Expert in web application security, OWASP, API security, and secure design and testing.
• Hands-on experience with security automation is required, with proficiency in AI-assisted development, Python, Cursor, Lambda, Terraform, or comparable scripting/IaC tools for operational efficiency.
• Industry certifications like CISSP, CCSP, CEH, AWS Certified Security – Specialty, AWS Certified Solutions Architect – Professional, or AWS Certified Advanced Networking – Specialty (or equivalent) are preferred.
• Ability to influence stakeholders and drive alignment.
• Strategic thinker with a passion for security innovation, continuous improvement, and building scalable defenses.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

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As an RSA, you will serve as a trusted technical advisor and hands-on expert, guiding customers to solve complex big data challenges using the Databricks platform.

Key responsibilities include:

• Collaborating with customers to understand their data and AI transformation goals and developing tailored solutions using the Databricks platform
• Designing and implementing scalable and secure data architectures using Apache Spark, Delta Lake, and other Databricks technologies
• Providing expert-level technical guidance and support to customers during the implementation process
• Identifying and addressing potential roadblocks and providing creative solutions to overcome them

Requirements include:

• 10+ years of experience with Big Data Technologies such as Apache Spark, Kafka, and Data Lakes in a customer-facing post-sales, technical architecture, or consulting role
• 4+ years of experience as a Solution Architect creating designs, solving Big Data challenges for customers
• Expertise in Apache Spark, distributed computing, and Databricks platform capabilities
• Comfortable writing code in Python, PySpark, and Scala
• Exceptional SQL, Spark SQL, Spark-streaming skills
• Advanced knowledge of Spark optimizations, Delta, Databricks Lakehouse Platforms
• Expertise in Azure
• Expertise in NoSQL databases (MongoDB, Redis, HBase)
• Expertise in data governance and security (Unity Catalog, RBAC)
• Ability to work with Partner Organization and deliver complex programs
• Ability to lead large technical delivery teams
• Understands the larger competitive landscape, such as EMR, Snowflake, and Sagemaker
• Experience of migration from On-prem / Cloud to Databricks is a plus
• Excellent communication and client-facing consulting skills, with the ability to simplify complex technical concepts
• Willingness to travel for onsite customer engagements within India
• Documentation and white-boarding skills

Good-to-have Skills:

• Experience with ML libraries/frameworks: Scikit-learn, TensorFlow, PyTorch
• Familiarity with MLOps tools and processes, including MLflow for tracking and deployment
• Experience delivering LLM and GenAI solutions at scale (RAG architectures, prompt engineering)
• Extensive experience on Hadoop, Trino, Ranger and other open-source technology stack
• Expertise on cloud platforms like AWS and GCP

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You will help organizations move beyond static dashboards to governed, conversational, AI-powered analytics at the center of the convergence of business intelligence, data platforms, and generative AI.

Enterprise analytics is rapidly evolving from dashboards and static reporting to conversational, AI-driven decision platforms. Databricks AI/BI and Genie empower business users to securely interact with governed data using natural language, transforming the data platform into a true decision platform.

If you want to be at the forefront of AI-powered analytics transformation at one of the fastest-growing data and AI companies in the world, this is your opportunity.

The impact you will have:

• Partner with Enterprise AEs to identify, qualify, and close AI/BI opportunities
• Engage C-level, analytics, and line-of-business leaders to modernize analytics strategies
• Displace or expand legacy BI platforms with AI-powered, governed analytics solutions
• Lead conversations around semantic governance, self-service analytics, and natural language data access
• Drive proof-of-value engagements and scale enterprise-wide adoption
• Align AI/BI initiatives to measurable business outcomes (productivity, speed to insight, revenue impact)
• Enable field teams and serve as a subject matter expert on modern analytics architectures

What we look for:

• Enterprise sales experience in BI, analytics, data platforms, or AI/ML
• Strong understanding of modern analytics architectures and data governance
• Ability to sell to both technical and business stakeholders
• Executive presence and experience navigating complex buying cycles
• Passion for AI and the impact of GenAI on enterprise analytics
• Experience operating in a specialist or overlay sales model
• Ability to translate technical capabilities into clear business value
• 7+ years of Enterprise Sales experience, exceeding quotas in larger accounts
• Bachelors Degree or equivalent experience

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Your influence will extend beyond a single feature, shaping service boundaries, reliability posture, and standards that other solutions build on.

Responsibilities

• Own the architecture for chat back-end services (Node/TypeScript), defining service boundaries, data contracts, and scalability targets
• Lead cross-team design reviews; author ADRs and RFCs that become reference standards for AI-chat and ingestion work
• Build and harden event-driven pipelines that capture chat telemetry, evaluation traces, and LLM feedback loops; expose them via self-service analytics endpoints
• Champion reliability,define error budgets, introduce testing strategy, and steer incident-response playbooks for conversational workloads
• Mentor senior and Junior engineers; grow their system-design skills and foster a high-trust, low-ego culture
• Partner with Product, Design, and Data Science to translate ambiguous goals (e.g., “multi-step reasoning with tool calling”) into incremental, testable action items
• Represent Elastic in open-source AI communities (LangGraph/LangChain, MCP/A2A) through design proposals, blog posts, and conference talks

What You Bring

• 10 + years building distributed, production SaaS services,at least 5 years leading large-scale Node/TypeScript or similar back-end stacks
• Deep expertise in distributed systems fundamentals,shard routing, consensus, eventual consistency, back-pressure, and circuit-breaker patterns
• Demonstrated success designing high-throughput, low-latency APIs (gRPC / REST / WebSocket),including streaming responses and resumable sessions
• Hands-on experience with observability: OpenTelemetry, log/metric pipelines, synthetic checks, and SLO dashboards
• Exposure to LLM tooling (LangChain/LangGraph, OpenAI function calls, vector-search, RAG orchestration) and enthusiasm for advancing GenAI architectures
• Clear, persuasive written communication,your ADRs and RFCs set the standard others emulate

Benefits

• Competitive pay based on the work you do here and not your previous salary
• Health coverage for you and your family in many locations
• Ability to craft your calendar with flexible locations and schedules for many roles
• Generous number of vacation days each year
• Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
• Up to 40 hours each year to use toward volunteer projects you love
• Embracing parenthood with minimum of 16 weeks of parental leave

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As a Senior Named Solutions Engineer, Public Sector, you will be responsible for collaborating with clients from early-stage ideation through to planning for production. You will sit alongside our peers in our clients, and contribute your energy, ideas and opinion on solving the hard problems we face in our industry today.

On any given day, the role will provide both a challenging and rewarding opportunity to develop adjacent technology expertise as well as mastering key skills relating to technical and industry advocacy on behalf of our clients.

A key aspect will be offering good practice guidance and adopting a deploy-to-production mindset, where it is as much about the operational process as it is about the product.

As part of our broader solutions engineering community, you will be working alongside peers with deep subject-matter expertise and industry knowledge upon whose insights will support your own.

Of course, as a senior member of the team, you will also be in a position to contribute to a body-of-knowledge across key domains of networking, cybersecurity and edge computing, as well as industry analyses and perspectives.

For this role, our Solutions Engineering team members focus on large clients for whom we are able to develop deep understanding and partnership to collaborate with.

Building on a track-record of success such as that demonstrated with recent projects with the NCSC (https://www.ncsc.gov.uk/news/ncsc-new-pdns-partnership), this role has an emphasis on supporting our clients in both local and central government, as well as select private sector clients where appropriate.

Previous experience in supporting the public sector is beneficial, however not mandatory.

This is where your experience will help. Who we are The problems that our clients face are both diverse and unique - which is reflected in how we think about our Solution Engineering team.

Building on the benefit of the hive-mind, our SE team is made up of individuals from a wide range of backgrounds - from end-customers to other vendors, Financial Consulting to Product Management, Customer Support to Software Engineering.

In short, if we are to solve complex problems we need a diverse, curious and collaborative team.

Cloudflare’s mission is one which is both simple and timeless, to help build a better Internet.

This requires a broad set of services and associated knowledge of Internet performance and security technology.

We recognise many of our team usually join us with one or two core domains of expertise, however key to success is the curiosity to maintain and develop new knowledge which is essential to keeping up with the high rate of product innovation at Cloudflare.

In our aim to support your success, all the resources and training required to build a custom personal development plan to be effective for the role, will be provided.

As mentioned, the emphasis on working with public sector clients would benefit from having previously held Security Clearance (SC) status, however this is not mandatory.

Examples of desirable skills, knowledge and experience Our Solutions Engineers come from a wide range of backgrounds: IT, engineering, software development, product management, financial consulting, customer support & project delivery.

We're serious about building a diverse team.

When hiring we look for diversity of experience combined with genuine curiosity for our technology.

Ultimately, you are passionate about technology and have the ability to explain complex technical concepts in easy-to-understand terms.

You are naturally curious, and an avid builder who is not afraid to get your hands dirty.

You appreciate the diversity of challenges in working with customers, and look forward to helping them realise the full promise of Cloudflare.

On the Solutions Engineering team, you will find a collaborative environment where everyone brings different strengths and jumps in to help each other.

You will have a good fundamental understanding on how to manage technical validation projects so that customers can have an informed opinion on the best solution to a given problem - with an eye on what could come next.

Additional experience might include a combination of the skills below:

• Showing up in the right-way: bringing a positive attitude, open-minded to new ideas and bringing your energy and ideas to help our clients and our team succeed.

• 10+ years of experience in the IT industry (mid-level or senior engineering level experience).

• Ability to manage a project, work to deadlines, and prioritise between competing demands.

• Demonstrating empathy with customers and quickly identifying challenges and pain points they face.

• Understanding of “how the internet works”.

For example:

• Know the differences between TCP & UDP, and understand what kinds of applications may favour one over the other;

• Can explain the difference between authoritative DNS & recursive DNS?

• You understand the role of a firewall, why TLS (SSL) plays an increasingly important role on today's Internet, a solid understanding of HTTP and a willingness to dive deeper into the quirks of clients & servers alike;

• Understanding of how customers make buying decisions, how to explain ROI.

• A knowledge of the competitive landscape for one or more of: DDoS, CDN, Performance, DNS, Developer platform or Zero-Trust/SASE service providers.

• You're OK with some in-region travel (15~30 days per quarter): eg. Being next to our clients means that we need to travel to customer offices, conferences and/or events.

Bonus!

• Previous experience in a pre-sales SE or consulting role.

• (note: doesn't have to be in tech);

• Demonstrated experience with a scripting language (e.g. Python, JavaScript, Bash) and a desire to expand those skills;

• Exposure to emerging technical landscape trends such as machine learning, GenAI, DevOps, security

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We are seeking a Senior Director, Head of Performance Marketing, Agentic / AI-First to build and scale Paid Media at ZoomInfo. This leader will take our strong B2B foundation and elevate it with a consumer-grade growth mindset inclusive of rapid experimentation, creative rigor, audience-first activation, and operational excellence.

This is a builder role. You will establish the operating system for how paid channels run, drive significantly higher testing velocity, and transform how we execute performance marketing in a modern, iterative, high-output way.

If you love fast cycles, love learning from data, and know how to push channel teams to think like B2C growth operators, this role is for you.

As Head of Performance Marketing, you will:

• Own all paid channels: Search, Paid Social, Display / Programmatic, Review sites, Retargeting, and Emerging platforms.
• Apply a B2C growth lens: High-volume creative testing, Micro-segmented audiences, Fast, iterative experimentation, Continuous message and offer variation.
• Manage multi-million-dollar budgets with discipline while enabling smart, rapid testing.
• Build channel playbooks and standards that raise execution quality across the organization.

You will directly shape how we scale, how fast we learn, and how effectively we convert spend into measurable business impact.

Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process.

In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here.

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The impact you will have:

• Develop cutting-edge GenAI solutions, incorporating the latest techniques from our Mosaic AI Research to solve customer problems.
• Own production rollouts of consumer and internally facing GenAI applications.
• Serve as a trusted technical advisor to customers across a variety of domains.
• Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally.
• Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap.

What we look for:

• Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy.
• Expertise in deploying production-grade GenAI applications, including evaluation and optimizations.
• Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools (i.e., pandas, scikit-learn, PyTorch, etc.).
• Experience building production-grade machine learning deployments on AWS, Azure, or GCP.
• Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience.
• Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike.
• Passion for collaboration, life-long learning, and driving business value through AI.
• Preferred experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets.

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We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. Open to remote locations.

The impact you will have:

• Develop cutting-edge GenAI solutions, incorporating the latest techniques from our Mosaic AI Research to solve customer problems
• Own production rollouts of consumer and internally facing GenAI applications
• Serve as a trusted technical advisor to customers across a variety of domains
• Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally
• Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap

What we look for:

• Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy
• Expertise in deploying production-grade GenAI applications, including evaluation and optimizations
• Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.
• Experience building production-grade machine learning deployments on AWS, Azure, or GCP
• Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
• Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
• Passion for collaboration, life-long learning, and driving business value through AI

Benefits:

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit our website.

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Responsibilities:

• Develop cutting-edge GenAI solutions, incorporating the latest techniques from our Mosaic AI Research to solve customer problems
• Own production rollouts of consumer and internally facing GenAI applications
• Serve as a trusted technical advisor to customers across a variety of domains
• Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally
• Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap

Requirements:

• Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy
• Expertise in deploying production-grade GenAI applications, including evaluation and optimizations
• Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.
• Experience building production-grade machine learning deployments on AWS, Azure, or GCP
• Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
• Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
• Passion for collaboration, life-long learning, and driving business value through AI

Benefits: At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please click here.

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You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy.

Responsibilities:

• Strategic Technical Partnership: Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues.

• Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment

• Customer Deal Support: Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance.

• Partner Ecosystem & Events: Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities.

Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy.

You may be a good fit if you have:

• 5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager

• Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery

• Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more

• Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders

• Experience designing scalable cloud architectures and integrating with enterprise systems

• Familiarity with common LLM frameworks and tools or a background in machine learning or data science

• Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities

• A love of teaching, mentoring, and helping others succeed

• Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems

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At Elastic, our solutions are tailored to provide Observability, Cybersecurity, and Search AI, and we need a leader who is technically adept and can drive our teams to ensure our customers derive the most value from our offerings.

In this leadership position, the ideal candidate is a unique blend of a people-focused, business-driven, and technically-savvy leader. You will directly lead all aspects of a high performing team of Customer Architects.

Having an intimate understanding of our technical solutions is crucial to empathize with your team's challenges and derive strategic solutions.

The Director of Customer Engineering plays a pivotal role in representing Elastic at the forefront.

Given the intrinsic technical nature of our offerings, it's crucial for the Director to be proficient in the intricacies of our solutions, ensuring they can effectively communicate their value and drive consumption.

This role requires frequent face-to-face engagements, making it essential for the candidate to excel at in-person presentations, discussions, and building strong relationships rooted in technical trust.

With the need to partner with a wide array of customers, travel becomes inherent to this role. Candidates should be primed for 25% travel, geared towards promoting and amplifying the consumption of our Elastic solutions across the Americas.

Responsibilities

• Leadership: Lead and mentor Customer Architects, encouraging a culture of collaboration, innovation, and customer-centricity.

• Technical Acumen: Serve as the technical pillar of leadership, ensuring that the region's strategies align with the technical nuances of our solutions. A background in sales engineering leadership is beneficial.

• Strategic Planning: Employ both urgent and strategic approaches to address critical situations, instilling processes that address challenges at scale. Ensure that teams in the region are geared towards helping customers realize value and driving consumption.

• Market Knowledge: Leverage your experience with distributed datastores, and areas such as observability, cybersecurity, or search to bring depth to the team's understanding of the market. Experience in Vectors, Machine Learning, and GenAI will be an added advantage.

• Collaboration: Work in tandem with regional sales leaders, account teams, and other stakeholders to ensure seamless communication and alignment of objectives.

Requirements

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field highly preferred.

• Proven experience leading teams centered on consumption.

• Technical expertise in distributed datastores, and areas like observability, cybersecurity, or search. Familiarity with Elastic solutions will be a significant advantage.

• Familiarity or experience in the realms of Vectors, Machine Learning, and GenAI.

• Strong interpersonal and communication skills, with the ability to articulate complex technical concepts to a varied audience.

• Ability to balance urgency with strategic planning, ensuring teams are always aligned with company and customer objectives.

Compensation

Compensation for this role is in the form of base salary plus a variable component, that together comprise the On-Target Earnings (OTE).

On-Target Earnings (OTE) are based on a 70/30 pay mix (base salary / target variable).

The typical starting OTE range for new hires in this role is listed below. This range represents the lowest to highest OTE we reasonably and in good faith believe we would pay for this role at the time of this posting.

We may ultimately pay more or less than the posted range, and the range may be modified in the future.

An employee's position within the OTE range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.

Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders.

Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program.

Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being.

The typical starting salary range for this role is: $161,300-$255,100 USD

The typical starting Target Variable range for this role is: $69,000-$109,200 USD

The typical starting On-Target Earnings (OTE) range for this role is: $230,300-$364,300 USD

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Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use.

Responsibilities

• Build across the stack. Design, develop, and maintain scalable backend services and APIs, as well as intuitive, high-quality frontend applications that bring those systems to life.
• Work with other AI engineers, software engineers and machine learning engineers to architect, design and implement GenAI-powered products and features
• Collaborate across functions to understand user needs, propose and implement AI-powered solutions where they’re expected to have the highest impact
• Design and execute rapid experiments to push the boundaries on potential business impact from emerging AI capabilities, with a focus on minimal viable testing approaches
• Balance creative exploration of possibilities with rigorous evaluation of technical feasibility, product potential and business impact

Qualifications

• Experience building backend services and working with microservices or service-oriented architectures
• Strong working knowledge of HTML, CSS, JavaScript, and modern frontend frameworks or libraries, with comfort building user-facing experiences
• Strong software engineering fundamentals, including system design and API development
• Hands-on experience building and shipping LLM-powered products, iterating with real user feedback
• Practical experience with prompt engineering, fine-tuning, RAG, semantic search (vector databases and embeddings), agent orchestration frameworks, and evaluation/monitoring of open-ended tasks
• Experience building GenAI-powered product experiences, including streaming/SSE and common UX patterns
• Strong debugging and production monitoring experience
• Ability to deeply understand customer needs through user research and rapid experimentation; comfortable operating as a technical PM when needed
• Ability to balance divergent exploration with pragmatic execution, especially in 0 to 1 environments
• Deep curiosity and passion for building GenAI applications

Nice to Have

• Experience training and deploying ML models in production, including fine-tuning LLMs for domain-specific use cases
• Comfortable operating in privacy- and PII-sensitive environments, with experience applying appropriate compliance and data protection controls

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Omada Health is a digital care provider that empowers people to achieve their health goals through sustainable behavioural change. We are on a mission to inspire and engage people in lifelong health, one step at a time.

Great software is the key to providing effective care at scale. We hire passionate, creative people and give them the autonomy to do great work. Our software engineers are comfortable dealing with high-level specifications, working independently and in small teams, and are heavy contributors in the product process from idea to production.

You work with empathy for your coworkers, stakeholders and users. You are excited to work cross-functionally with a variety of people and ideas. You work directly with stakeholders to design solutions and drive the technical decisions for delivery. You proactively keep up with technology trends and can assess technical trade-offs between solutions across service boundaries. You care about writing quality software and recognise that there are often many right answers. You are excited about the challenge of learning new technologies and context. You are enthusiastic about providing the best possible care for our members.

What you’ll be doing:

• Build and integrate a combination of home-grown and purchased tools to optimise our contracting, eligibility and billing processes. You will have a direct impact on business outcomes through the improvement of existing or implementation of new solutions in close partnership with product and business stakeholders.
• Be an informal leader to the team by continuously identifying ways to improve, mentoring others, and removing ambiguity.
• Leverage AI and ML tooling to deliver innovative solutions to complex problems.
• Collaborate and influence others to shape future direction, based on your years of previous experience and technology research.
• Lead large projects, anticipating infrastructure and architectural needs before they arise.
• Research, adopt and advocate for new technologies.

What you need for this role:

• 7+ years of experience writing readable, tested, and efficient code
• Familiarity with LLMs and GenAI best practices (for writing code and app features)
• Experience with a modern front-end framework (React, Vue)
• Experience with a modern back-end web framework (Rails, Python)
• Experience with a relational database (PostgreSQL, MySQL)
• Solid debugging and optimisation skills
• Experience with APIs supporting mobile applications delivering rich user experiences
• Expertise with SDLC processes and frameworks
• Interest in learning new tools, languages, workflows, and philosophies to grow
• Curiosity and care more about solving problems than being right
• Excellent communication and collaboration skills (verbal and written)

Technologies we use:

• AWS
• Ruby
• Rails
• Postgres
• Kafka
• Docker
• Kubernetes
• Amplitude
• Marketo
• Salesforce

Benefits:

• Competitive salary with generous annual cash bonus
• Stock options
• Remote first work from home culture
• Flexible vacation to help you rest, recharge, and connect with loved ones
• Generous parental leave
• Health, dental, and vision insurance (and above market employer contributions)
• 401k retirement savings plan
• Lifestyle Spending Account (LSA)
• Mental Health Support Solutions
• ...and more!

It takes a village to change health care. As we build together toward our mission, we strive to embody the following values in our day-to-day work. We hope these hold meaning for you as well as you consider Omada!

• Cultivate Trust.
• Seek Context.
• Act Boldly.
• Deliver Results.
• Succeed Together.
• Remember Why We’re Here.

About Omada Health:

Omada Health is a between-visit healthcare provider that addresses lifestyle and behaviour change elements for individuals managing chronic conditions. Omada’s multi-condition platform treats diabetes, hypertension, prediabetes, musculoskeletal, and GLP-1 management. With insights from connected devices and AI-supported tools, Omada care teams deliver care that is rooted in evidence and unique to every member, unlocking results at scale.

With more than a decade of experience and data, and 29 peer-reviewed publications showcasing clinical and economic proof points, Omada’s approach is designed to improve health outcomes and contain costs. Our customers include health plans, pharmacy benefit managers, health systems, and employers ranging from small businesses to Fortune 500s. At Omada, we aim to inspire and empower people to make lasting health changes on their own terms.

For more information, visit: https://www.omadahealth.com/

Omada is thrilled to share that we’ve been certified as a Great Place to Work! Please click here for more information.

We carefully hire the best talent we can find, which means actively seeking diversity of beliefs, backgrounds, education, and ways of thinking. We strive to build an inclusive culture where differences are celebrated and leveraged to inform better design and business decisions. Omada is proud to be an equal opportunity workplace and affirmative action employer. We are committed to equal opportunity regardless of race, color, religion, sex, gender identity, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, or any other basis protected by local, state, or federal laws.

Below is a summary of salary ranges for this role in the following geographies:

• California, New York State and Washington State Base Compensation Ranges: $179,400 - $224,300*
• Colorado Base Compensation Ranges: $171,600 - $214,500*
• Other states may vary.

This role is also eligible for participation in annual cash bonus and equity grants.

*The actual offer, including the compensation package, is determined based on multiple factors, such as the candidate's skills and experience, and other business considerations.

Please click here for more information on our Candidate Privacy Notice.

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Omada Health is a digital care provider that empowers people to achieve their health goals through sustainable behavioral change. We are on a mission to inspire and engage people in lifelong health, one step at a time.

We are looking for a software engineer to help drive us forward in achieving that goal.

What You'll Be Doing

• Work with product managers, designers and a diverse group of talented engineers to build the backends that power our mobile applications underpinning the overall experience for our members and the web applications that enable our providers to deliver world class digital healthcare.
• Deliver high-quality web application code, maintaining site stability through code reviews and writing unit and integration tests, while implementing best practices for architecture, system design, and coding standards.
• Dedicate 80-90% of your time to hands-on coding, serving as a technical leader and mentor to junior engineers by solving challenging programming and design problems.
• Leverage AI tools in your workflow across all aspects of the software development lifecycle.
• Lead large projects by anticipating infrastructure and architectural needs, and propose innovative AI solutions to complex problems.
• Collaborate with AI experts to integrate AI into existing systems, leveraging their guidance as necessary.
• Use your experience to influence and shape the future direction of projects and technologies, working collaboratively to adopt and advocate for new technological advancements.
• Participate in our on-call rotation; triage and address reliability issues that come up in production, ensuring system stability and resolving critical problems as they arise.

What You Need for This Role

• 7+ years of experience writing readable, tested, and efficient code
• Experience with a Ruby or Python
• Experience with a relational database (PostgreSQL, MySQL)
• Experience with designing scalable, maintainable and secure APIs
• Experience with CI/CD pipelines
• Familiarity with LLMs and GenAI best practices
• Familiarity with AI development tools such as Cursor or Copilot
• Familiarity with cloud infrastructure (AWS preferred), and deployment tools (Kubernetes, Docker)
• Understanding of logging, monitoring and telemetry
• Understanding of DevOps concepts and principles
• Interest in learning new tools, languages, workflows, and philosophies to grow
• Curiosity and care more about solving problems than being right
• Excellent communication and collaboration skills (verbal and written)

Technologies We Use

• Ruby on Rails
• React
• AWS (RDS with PostgreSQL, SQS)
• GraphQL
• Docker
• Kubernetes

Benefits

• Competitive salary with generous annual cash bonus
• Equity grants
• Remote first work from home culture
• Flexible Time Off to help you rest, recharge, and connect with loved ones
• Generous parental leave
• Health, dental, and vision insurance (and above market employer contributions)
• 401k retirement savings plan
• Lifestyle Spending Account (LSA)
• Mental Health Support Solutions

Cultivate Trust

• We listen closely and we operate with kindness. We provide respectful and candid feedback to each other.

Seek Context

• We ask to understand and we build connections. We do our research up front to move faster down the road.

Act Boldly

• We innovate daily to solve problems, improve processes, and find new opportunities for our members and customers.

Deliver Results

• We reward impact above output. We set a high bar, we’re not afraid to fail, and we take pride in our work.

Succeed Together

• We prioritize Omada’s progress above team or individual. We have fun as we get stuff done, and we celebrate together.

Remember Why We’re Here

• We push through the challenges of changing health care because we know the destination is worth it.

About Omada Health

Omada Health is a between-visit healthcare provider that addresses lifestyle and behavior change elements for individuals managing chronic conditions. Omada’s multi-condition platform treats diabetes, hypertension, prediabetes, musculoskeletal, and GLP-1 management. With insights from connected devices and AI-supported tools, Omada care teams deliver care that is rooted in evidence and unique to every member, unlocking results at scale.

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About Mistral AI

Mistral AI is a pioneering company that believes in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life, and we democratize AI through high-performance, optimized, open-source models, products, and solutions.

Role Summary

As our Patent Attorney, you will be at the heart of our innovation strategy, transforming cutting-edge research into a robust and strategic intellectual property portfolio. You will work closely with our world-class research, engineering, and product teams to protect groundbreaking inventions, shape the future of open-source AI, and support the company's global growth.

Key Responsibilities

Invention Harvesting:

• Proactively engage with researchers, engineers, and product managers to identify and prioritize patentable inventions.
• Advise on what to retain as a trade secret and what to file as a patent application.
• Draft invention memos based on interviews, internal product documentation, and scientific papers.

Patent Drafting and Prosecution:

• Prepare independent claims and manage outside counsel in the drafting and global prosecution of patent applications.
• Supervise office action responses and ensure consistent, high-quality filings.

Inventor Recognition Program:

• Administer and evolve internal inventor incentives, including bonuses, awards, and visibility initiatives.

M&A Due Diligence:

• Support IP due diligence in M&A and strategic investment transactions, including assessment of the IP portfolio, freedom-to-operate risks, and competitive positioning of targets.

Processes and Tools:

• Develop and maintain internal documentation, workflows, and inventor education on the patent process.
• Build dashboards to track filings, deadlines, and portfolio metrics.

Portfolio Strategy and Budget Management:

• Contribute to the development of a global IP strategy aligned with corporate goals.
• Track and manage IP budget and outside counsel performance.

Open Source and Defensive Alliances:

• Align patent strategy with Mistral's open source objectives.
• Evaluate and recommend participation in patent pools, defensive patent networks, or other industry alliances that support open innovation while protecting core assets.

Cross-Functional Collaboration:

• Partner with other legal team members, product, engineering, and research teams to embed IP thinking in the development lifecycle and broader company strategy.

Ideal Candidate Profile

You Must Have...

• Patent expertise: Proven experience drafting patents in complex software/AI domains.
• GenAI literacy: Hands-on experience with LLMs (e.g., building agents, technical projects).
• Law firm management: Experience selecting, managing, and optimizing external patent firms.
• Collaboration with inventors: Ability to engage with researchers/engineers and extract critical information.
• Proactive and resourceful: Self-driven to anticipate needs, engage stakeholders, and document processes.

In addition, the perfect candidate would have...

• Business acumen: Understanding of how patents drive value for a scale-up.
• Open-source knowledge: Familiarity with open-source licenses and their intersection with patents.
• M&A IP due diligence: Experience assessing IP in tech transactions.

Languages

• Fluent English (required for legal/technical writing).
• French (a plus for day-to-day collaboration).

Benefits

• Competitive cash salary and equity
• Food: Daily lunch vouchers
• Sport: Monthly contribution to a Gympass subscription
• Transportation: Monthly contribution to a mobility pass
• Health: Full health insurance for you and your family
• Parental: Generous parental leave policy
• Visa sponsorship

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Built on top of the most performant coding AI models in the market, with more models to come, this product is developed within a leading open source GenAI company that is already deeply trusted by the global developer and engineering community. The ambition is clear: make this assistant the preferred tool developers code with and establish it as a market leader in its category.

As Product Manager, you will contribute to this product end to end, from vision to execution. You will define the product strategy, PMF, GTM and growth roadmap and lead the development of a product already backed by a strong pipeline of enterprise customers.

Working closely with world-class science, engineering and go-to-market teams, you will scale adoption across individual developers and enterprises, grow an existing product motion and consolidate and expand the team around it.

Your work will directly contribute to building a hundreds of millions revenue stream for Mistral while delivering a tool that significantly increases the productivity and creativity of thousands of developers across the globe.

Key responsibilities include:

Define the Future

• Set the vision: Shape and evangelize a compelling product strategy for Mistral’s GenAI-native coding assistant, ensuring alignment with company goals and market opportunities.

• Spot the gaps: Lead market and UX research to uncover unmet needs, competitive whitespaces, and emerging trends enterprise product management.

• Validate product direction: Engage directly with customers and partners to validate positioning, value propositions and feature priorities.

Build & Ship

• Own the lifecycle: Drive end-to-end product development, from ideation to launch and iteration,balancing speed, quality, and user delight.

• Champion the user: Partner with design and research to craft intuitive, high-impact and developer first experiences, using data and feedback to refine continuously.

Scale & Execute

• Go-to-market: Collaborate with marketing and sales to launch products successfully, including pricing, positioning, and adoption strategies.

• Align stakeholders: Rally science, engineering, design and business teams around priorities, trade-offs and timelines.

• Prioritize ruthlessly: Maintain a dynamic roadmap that delivers quick wins while advancing long-term bets.

• Evangelize Mistral Vibe: Act as a product ambassador through customer engagements, thought leadership, writing, and participation in industry and developer events.

Required qualifications include:

• 10+ years of experience in product management within high-performing product organizations.

• Deep mastery of best-in-class PM practices, including product strategy and roadmap definition, market and user research, data analysis, prioritization, experimentation and A/B testing, performance metrics and structured collaboration with engineering and science teams.

• Proven experience owning product vision and strategy for enterprise-focused products.

• Strong track record defining and executing go-to-market strategies, including positioning, pricing, packaging, promotion and driving meaningful revenue growth through product-led initiatives.

• Demonstrated experience operating in ambiguous, fast-growing environments.

• Strong background launching new products, driving 0 to 1 initiatives, finding product-market fit, building and scaling go-to-market motions and growing or consolidating teams around a product.

• Deep understanding of developer-facing products, developer tools and the day-to-day workflows of software engineers.

• Solid understanding of how GenAI and large language models are built, trained and deployed.

• Experience working closely with AI or applied science teams, translating research advances into scalable, production-ready products.

Ideal candidates will have:

• Previous experience as a software engineer or strong hands-on engineering background.

• Passion for building, experimenting and coding on personal or side projects, with a deep appreciation for technical constraints and trade-offs.

• Direct experience building or scaling LLM-powered products, with a strong understanding of how generative AI impacts product discovery, roadmapping, evaluation, and iteration cycles.

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At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We are seeking a Applied AI Engineer to facilitate the adoption of our products among customers and collaborate with them to address complex technical challenges. The Applied AI Engineer is an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products and building complex enterprises use-cases.

Responsibilities

• You'll individually help deploy into production use cases with a considerable business impact across various industries.
• You'll work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation.
• You'll work in collaboration with our researchers, other AI engineers, product engineers on our most complex customer projects involving complex fine-tuning, state-of-the-art LLM applications, and contributing to our open-source codebases our open source codebases for tasks such as inference and fine-tuning.
• You'll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders.
• Your collaboration with our product and science team to improve continuously our product and model capabilities based on customers’ feedback

About you

• You are fluent in English
• You hold a PhD / master in AI / data science or you’re self-made
• You have 7-10+ years as a technical individual contributor (data scientist or software engineer) on AI-based products
• You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases
• You have deep understanding of concepts and algorithms underlying machine learning and LLMs
• You have a deep understanding of Cloud Infrastructure and how to deploy AI based products
• You have deployed or built products with large scale user based
• You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences

Benefits

• Competitive cash salary and equity
• Health Insurance
• Sport: $90 for gym membership allowance
• Food: $200 monthly allowance for meals (solution might evolve as we grow bigger)
• Transportation: $120/month for public transport or Parking charges reimbursed

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Mistral AI is seeking an Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges. The Applied AI Engineer - Software Engineer will be an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products. They will work hand-in-hand with customers from the pre-sale stage to post-implementation, ensuring our solutions meet and exceed client expectations.

Responsibilities

• Collaborate closely with researchers, AI engineers, and product engineers on complex customer projects, integrating cutting-edge AI models into clients' software products. • Design, develop, and maintain scalable and robust full-stack applications, ensuring seamless integration between front-end and back-end systems. • Develop complex use cases with our customers, providing guidance and ensuring the best production integration with back-end and front-end interfaces. • Collaborate with our product and science team to improve continuously our product and model capabilities based on customers' feedback.

About You

• You are fluent in English. • You hold a degree in Computer Science, Software Engineering, or a related field. • You have 5+ years as a technical individual contributor on cutting-edge technologies. • You have strong technical coding skills in Python and TypeScript. • You have experience with front-end frameworks such as React, NextJS, or VueJS. • You have experience with back-end technologies such as NodeJS. • You have a solid understanding of software development principles, including design patterns, data structures, and algorithms. • You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences.

Ideally You Have:

• Experience with LLM/GenAI models. • Contributed to open-source projects or libraries. • Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager.

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Mistral AI is seeking an Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges. The Applied AI Engineer - Software Engineer will be an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products.

Responsibilities

• Collaborate closely with researchers, AI engineers, and product engineers on complex customer projects, integrating cutting-edge AI models into clients' software products.

• Design, develop, and maintain scalable and robust full-stack applications, ensuring seamless integration between front-end and back-end systems.

• Develop complex use cases with our customers, providing guidance and ensuring the best production integration with back-end and front-end interfaces.

• Collaborate with our product and science team to continuously improve our product and model capabilities based on customers' feedback.

About You

• You are fluent in English.

• You hold a degree in Computer Science, Software Engineering, or a related field.

• You have 2+ years as a technical individual contributor on cutting-edge technologies.

• You have strong technical coding skills in Python and TypeScript.

• You have experience with front-end frameworks such as React, NextJS, or VueJS.

• You have experience with back-end technologies such as NodeJS.

• You have a solid understanding of software development principles, including design patterns, data structures, and algorithms.

• You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences.

Ideally You Have:

• Experience with LLM/GenAI models.

• Contributed to open-source projects or libraries.

• Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager.

Benefits

We have local offices in Paris, London, Marseille and Singapore.

France

• Competitive cash salary and equity.

• Food: Daily lunch vouchers.

• Sport: Monthly contribution to a Gympass subscription.

• Transportation: Monthly contribution to a mobility pass.

• Health: Full health insurance for you and your family.

• Parental: Generous parental leave policy.

• Visa sponsorship.

By applying, you agree to our Applicant Privacy Policy.

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At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines.

You Are:

You are an Automation Engineer/Software Developer who develops scripts, tools, and workflows to automate routine design tasks, enhancing efficiency, precision, and standardization. With a strong foundation in Software Development lifecycle, Software testing and deployment. You are creating methodologies and documentation for the users you support.

Your problem-solving skills and proficiency in UNIX/Linux and programming languages make you a valuable team player.

Your strong communication skills in English enable you to effectively document methods and training materials, ensuring your team can leverage new tools and flows to increase efficiency. You are proactive in providing feedback to improve internal tools and are committed to streamlining design processes and reducing time-to-market.

What You’ll Be Doing:

• Design, develop, troubleshoot, or debug software tools for integrated circuits.
• Develop automation tools, data pipelines, workflows for Analog design teams, to improve project methodologies and lifecycle efficiency.
• Providing feedback to internal tools teams to enhance tool functionality and usability.
• Documenting methods, creating documentation, and training materials for internal designers.
• Collaborating with cross-functional teams to ensure seamless integration and optimization of design tools.

The Impact You Will Have:

• Ensuring the successful implementation of new design methodologies and tools within the team.

• Enhancing the overall efficiency of analog design processes within Synopsys.

• Reducing time-to-market for high-performance silicon chips and software content.

• Driving innovation by providing valuable feedback to improve internal design tools and flows.

• Contributing to the development of cutting-edge technology that shapes the future of the industry.

What You’ll Need:

• Bachelor’s degree in software engineering/electrical engineering or similar field and 2 years of related experience.
• Experience with OOP languages, Python is preferred.
• Experience with CI/CD tools and workflows.
• Familiarity with UNIX/Linux operating systems and shell scripting,
• Experience with Tcl, Perl, Bash, JavaScript is a plus.
• Experience with latest GenAI tools development is a big plus.
• Experience with EDA tools for schematic entry, physical layout, design verification and circuit simulations is a big plus.
• Prior experience working with VLSI design methodology is big plus.

Who You Are:

• Excellent communication skills in English.
• A team player with a collaborative mindset.
• Proactive in debugging and resolving issues independently.
• Skilled in creating clear and concise documentation.

The Team You’ll Be A Part Of:

You will be part of a dynamic team dedicated to streamlining design processes and reducing time-to-market. This team focuses on developing, testing, improving and training designers on cutting-edge flows and tools at Synopsys to enhance analog design efficiency. Your role will involve significant collaboration with cross-functional teams to foster a culture of continuous improvement and innovation.

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.

Benefits:

At Synopsys, innovation is driven by our incredible team around the world. We feel honored to work alongside such talented and passionate individuals who choose to make a difference here every day. We're proud to provide the comprehensive benefits and rewards that our team truly deserves.

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You are a dynamic engineer with working experience in RTL implementation, DFT, verification, flow automation and understanding of 3DIC solutions and UCIe protocols. You should have a passion for working with the best of the brains in the industry in developing end-to-end solutions and deploying them at our premier customer base. Your technical excellence and analytical skills, coupled with strong communication and interpersonal skills, make you an asset to any team.

Key responsibilities include:

• Working closely with a world-class R&D team, you’ll be at the center of developing and bringing an end-to-end solution to our wide variety of customers in the domain of Silicon Lifecycle Management (SLM) and 3DIC technologies.

• Working closely with customers, you will bring detailed requirements into the factory to enable R&D for strong, robust, and successful product development.

• Working closely with product development team, you will validate an end-to-end solution both internally (before shipment) as well as in customer environment.

• Driving the deployment and smooth execution of SLM solutions into customers’ projects.

• Enabling customers to realize the value of silicon health monitoring in the context of 3DIC systems throughout the lifecycle of silicon bring-up, validation, through in-field operations.

The impact you will have includes enhancing Synopsys’ Silicon Lifecycle Management (SLM) and 3DIC solutions’ IP portfolio and end-to-end solution especially in the growing field of multi-die (3DIC) domain, driving the adoption of Synopsys’ SLM and 3DIC solutions at premier customer base worldwide, and influencing the development of next-generation SLM IPs and solutions.

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They work on assignments like designing, developing, and troubleshooting software, leveraging the state-of-the-art technologies like AI/ML, GenAI and Cloud. Their critical contributions enable world-wide EDA designers to extend the frontiers of semiconductors and chip development.

Job Description

Date posted: 03/29/2026

We Are:

At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.

You Are:

You are a forward-thinking engineer with a passion for leveraging cutting-edge AI technologies to revolutionize electronic design automation and verification. You thrive in dynamic environments where innovation, collaboration, and continuous learning are valued. Your experience in verification frontend flows and AI/ML frameworks enables you to bridge the gap between traditional engineering practices and intelligent automation. You are comfortable working across diverse teams, collaborating with design, verification, CAD, and methodology experts to identify impactful automation opportunities. You possess strong analytical skills, enabling you to dissect complex verification challenges and develop scalable GenAI solutions. Your commitment to professional growth is evident in your eagerness to stay current with the latest advancements in LLMs, GenAI, and verification technology. With a keen eye for detail and a drive to deliver high-quality results, you are adept at integrating AI-driven capabilities into established workflows, elevating productivity and efficiency. You value inclusivity and diverse perspectives, and you are motivated by the opportunity to shape the future of engineering through innovative, intelligent solutions.

What You’ll Be Doing:

• Develop and deploy LLM/GenAI-based solutions to enhance verification productivity across static, formal, and simulation-based flows in EDA tools.

• Collaborate cross-functionally with design, verification, CAD, and methodology teams to identify high-impact areas for AI-assisted automation.

• Build tools and frameworks to generate or refine assertions, constraints, checkers, and test intent, summarize design/spec content, and analyze logs, failures, and coverage gaps.

• Integrate LLM-driven capabilities into existing verification flows, tools, and automation infrastructure, ensuring seamless adoption.

• Develop and maintain scripts, data pipelines, and evaluation frameworks for AI-assisted verification use cases.

• Stay current with advances in LLMs, GenAI, verification technology, and digital design methodologies to inform best practices.

• Participate in technical reviews and help define scalable AI adoption strategies within verification environments.

The Impact You Will Have:

• Accelerate verification planning, setup, and closure, enabling faster time-to-market for complex digital designs.

• Enhance productivity and efficiency for engineering teams through intelligent automation and AI-driven solutions.

• Reduce manual effort and potential errors in verification by automating routine and complex tasks.

• Improve coverage analysis, debug processes, and testbench/content generation, resulting in higher quality silicon chips.

• Drive innovation in verification methodologies by integrating state-of-the-art GenAI capabilities.

• Foster cross-functional collaboration, contributing to robust and scalable verification strategies.

• Support Synopsys’ leadership in EDA technology and AI-driven engineering solutions.

What You’ll Need:

• Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, or related field.

• 5–8 years of experience in EDA software development with prior experience in developing GenAI-based tools.

• Hands-on experience with LLM/GenAI or AI/ML frameworks/tools such as PyTorch, TensorFlow, Hugging Face, LangChain, or equivalent.

• Proficiency in C++ and familiarity with Verilog, VHDL, or SystemVerilog.

• Strong understanding of verification frontend methodologies, including static analysis (CDC/RDC/Lint), formal/property-based verification, and simulation bring-up/debug.

• Experience with cloud or scalable compute platforms (AWS, GCP, Azure) is a plus.

• Familiarity with Agile development methodologies is desirable.

Who You Are:

• Innovative thinker with a passion for applying AI to real-world engineering challenges.

• Effective communicator, able to convey complex technical concepts to diverse audiences.

• Collaborative team player who thrives in cross-functional environments.

• Strong problem-solving abilities and analytical mindset.

• Adaptable, eager to learn, and comfortable with ambiguity in fast-evolving technology landscapes.

• Self-driven and proactive, with a commitment to delivering impactful solutions.

The Team You’ll Be A Part Of:

You will join a collaborative and innovative engineering team focused on advancing verification productivity through AI-driven solutions. The team works closely with design, verification, CAD, and methodology groups to identify and implement high-impact automation strategies. Together, you will drive the adoption of GenAI technologies within Synopsys’ EDA ecosystem, fostering a culture of continuous improvement and technological excellence.

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.

Benefits

At Synopsys, innovation is driven by our incredible team around the world. We feel honored to work alongside such talented and passionate individuals who choose to make a difference here every day. We're proud to provide the comprehensive benefits and rewards that our team truly deserves.

Visit Benefits Page

• ### Health & Wellness

Comprehensive medical and healthcare plans that work for you and your family.

• ### Time Away

In addition to company holidays, we have ETO and FTO Programs.

• ### Family Support

Maternity and paternity leave, parenting resources, adoption and surrogacy assistance, and more.

• ### ESPP

Purchase Synopsys common stock at a 15% discount, with a 24 month look-back.

• ### Retirement Plans

Save for your future with our retirement plans that vary by region and country.

• ### Compensation

Competitive salaries.

\\ Benefits vary by country and region - check with your recruiter to confirm

Get an idea of what your daily routine around the office can be like

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As a seasoned professional with a passion for innovation and a background in Electrical Engineering or Computer Science, you will be responsible for designing, developing, debugging, and optimizing large-scale software programs, increasingly leveraging AI-assisted coding workflows. You will develop core algorithms for global placement, detailed placement, global routing, detailed routing, and timing optimization. You will also improve product usability, robustness, and user experience, ensuring high-quality engineering workflows.

The impact you will have is driving the development of cutting-edge software tools that power the future of technology. You will enhance the performance and capabilities of Synopsys' chip design and software security solutions. You will contribute to the success of self-driving cars, 3DIC, AI, machine learning, the cloud, 5G, and IoT technologies. You will influence the design and compatibility of hardware components. You will improve the efficiency and effectiveness of software development processes. You will build strong relationships within and outside the organization to drive innovation and success.

To be successful in this role, you will need a degree in Electrical Engineering or Computer Science. You will need proficiency in C/C++ programming. You will need experience with place-and-route tool development (a plus). You will need a strong background in data structures and algorithms. You will need experience in EDA tool development.

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You are a dynamic engineer with working experience in RTL implementation, DFT/BIST, verification, flow automation, and understanding of hierarchical SoC architectures and IEEE1149/1500 and 1687 standards and pattern porting. You should have a passion for working with the best of the brains in the industry in developing end-to-end solutions and deploying them in our premier customer base.

What You'll Be Doing:

• Working closely with a world-class R&D team, you'll be at the center of developing and bringing an end-to-end solution to our wide variety of customers in the domain of Silicon Lifecycle Management (SLM) built over a robust DFT framework.
• Working closely with customers, you will bring detailed requirements into the factory to enable R&D for strong, robust, and successful product development.
• Working closely with product development team, you will validate an end-to-end solution both internally (before shipment) as well as in customer environment.
• Driving the deployment and smooth execution of SLM and Test solutions into customers' projects.
• Enabling customers to realize the value of silicon health monitoring using a robusta DFT framework throughout the lifecycle of silicon bring-up, validation, through in-field operations.

The Impact You Will Have:

• Enhancing Synopsys' Silicon Lifecycle Management (SLM) and DFT IP portfolio and end-to-end solution.
• Driving the adoption of Synopsys' SLM and DFT solutions at premier customer base worldwide.
• Influencing the development of next-generation SLM IPs and solutions.

What You'll Need:

• BSEE/MSEE in Electrical Engineering, Computer Engineering, or related field.

• 8 years of hands-on experience with DFT/BIST insertion, RTL design, and functional verification.

• Good exposure to JTAGIEEE 1149.1, IEEE 1687/1500, Testdata access mechanism.

• Knowledge on memory defectivities soft errors and reliability.

• Familiarity with error correcting codes such as Hamming and Hsiao.

• Hands-on experience in dealing with hierarchical SoCs, 1149.1/1500/1687 standards and pattern porting.

• Familiarity with either Synopsys TestMAX Tool chain or competitive offerings.

• Debugging abilities to identify and resolve issues in functional verification in UVM environment.

• Hands on experience in flow automation.

• Knowledge of Synthesis is a must with understanding of timing constraints (SDC).

• Knowledge of Lint, CDC, RDC is a plus.

• Knowledge of physical implementation is not a must, but good to have.

• Ability to evaluate technical suggestions from customers and work with internal teams (product management/R&D) to make decisions.

• Customer facing experience is a plus – educating/guiding customer on technical details of a solution.

• Good to have:

• Hands-on bring-up and debug experience of silicon is a plus.

• Architecture/micro-architecture experience.

• Understanding of GenAI and Agentic AI workflows.

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You are an accomplished engineering leader with more than a decade of hands-on experience in SoC verification, emulation, and system-level validation. You thrive at the intersection of advanced hardware-assisted verification (HAV) and simulation acceleration (SimXL), bringing a deep understanding of complex SoC architectures, memory subsystems, and high-speed interconnects.

Architecting and leading Hardware-Assisted Verification and Simulation Acceleration solutions for large-scale SoCs and multi-die systems.

Driving end-to-end SimXL deployments, including use-case definition, performance optimization, and methodology standardization.

Defining and owning system-level verification and acceleration strategies spanning simulation, emulation, and prototyping.

Bridging gaps between RTL simulation, emulation, and software bring-up to enable early and scalable system validation.

Leading complex customer engagements involving HAV platforms, simulation acceleration, and hybrid verification flows.

Translating customer verification challenges into scalable, reusable solution architectures and acting as a technical authority in escalations.

Driving innovation in HAV and SimXL methodologies, including automation, reuse, and productivity frameworks leveraging AI/GenAI-assisted approaches.

Collaborating with R&D, Product Management, and Applications teams to influence product roadmaps and feature requirements.

Accelerate customer verification cycles, enabling earlier software and system bring-up for complex SoC designs.

Define and scale best-in-class HAV and SimXL solutions across strategic accounts, enhancing customer outcomes.

Drive measurable improvements in performance, capacity, and debug productivity for verification workflows.

Shape the future of AI-assisted verification and solution deployment within Synopsys and across the industry.

Act as a key technical leader in advancing the organization’s verification acceleration strategy.

Mentor and empower senior engineers, fostering a culture of innovation and technical excellence.

Influence product direction and solution roadmaps through deep technical insights and customer engagement.

10+ years of experience in SoC verification, emulation, or system-level validation.

Deep hands-on expertise in Hardware-Assisted Verification, simulation acceleration, and hybrid verification flows.

Strong experience with emulation platforms and accelerated simulation environments.

Solid understanding of SoC architectures, interconnects, memory subsystems, and software bring-up challenges.

Proven ability to design and deploy scalable verification solutions for complex designs.

Experience with system-level testbenches, transactors, and acceleration frameworks.

Exposure to GenAI or AI-assisted techniques applied to verification, debug, or solution automation.

Background in high-speed interfaces, memory subsystems, or multi-die architectures.

Track record of creating reusable assets, methodologies, or automation frameworks.

Experience influencing product direction or defining solution roadmaps.

Innovative thinker with a passion for driving technological advancement and automation.

Collaborative leader who mentors and inspires teams across geographies.

Strong communicator adept at translating complex technical concepts for diverse audiences.

Customer-focused problem solver with a commitment to delivering impactful solutions.

Adaptable and resilient in fast-paced, matrixed environments.

Detail-oriented, analytical, and proactive in identifying and addressing challenges.

You will join a dynamic, cross-functional team dedicated to advancing verification acceleration solutions for Synopsys’ strategic customers. The team comprises experts in HAV, simulation acceleration, R&D, product management, and applications engineering, all working collaboratively to define and deploy innovative methodologies.

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

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As an intern at Synopsys, you'll have the freedom to develop and prototype new features using Python, research and identify friction points in user interactions with solutions, maintain high standards of technical documentation, and participate in QA to ensure smooth deployment of new tools.

Key responsibilities include:

• Developing and prototyping new features using Python to enhance the user journey and platform value.
• Researching and identifying friction points in user interactions with solutions, translating insights into actionable technical requirements.
• Maintaining high standards of technical documentation and actively participating in QA to ensure smooth deployment of new tools.
• Curation of documents and data to build Retrieval-Augmented Generation (RAG)-based GenAI solutions and generation of prompt datasets to validate solution effectiveness.

To succeed in this role, you'll need to be currently pursuing a degree with an Engineering background, have strong proficiency in Python and experience working with data, hands-on exposure to AI/GenAI tools and prompt engineering for rapid prototyping, a user-first mindset with the ability to synthesize complex data into actionable product improvements, and strong communication skills and a self-driven approach to work.

This internship is a 3-month program, with a full-time schedule and an in-office working model. The start date is expected to be in May or June 2026.

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We're a team of scientists, engineers, and machine learning experts working together to advance the state of the art in artificial intelligence. Our mission is to close the 'Agentic Launch Gap'; the critical window where novel AI capabilities outpace traditional security reviews.

As the Security Lead for the Agentic Red Team, you will direct a specialized unit of AI Researchers and Offensive Security Engineers focused on adversarial AI and agentic exploitation. Operating as a technical player-coach, you will architect complex, multi-turn attack scenarios while managing cross-functional partnerships with Product Area leads and Google security to influence launch criteria.

Key Responsibilities:

• Direct Agile Offensive Security: Lead a specialized red team focused on rapid, high-impact engagements targeting production-level AI models and systems.
• Perform Complex AI Exploitation: Develop and carry out advanced attack sequences that focus on vulnerabilities unique to GenAI, such as escalating privileges through tool usage, poisoning data, and executing multi-turn prompt injections.
• Design Automated Validation Systems: Collaborate with Google teams to engineer 'Auto RedTeaming' solutions that transform manual vulnerability discoveries into robust, automated regression testing frameworks.
• Engineer Technical Countermeasures: Create innovative defense-in-depth frameworks and control systems to mitigate agentic logic errors and non-deterministic model behaviors.
• Manage Threat Intelligence Assets: Develop and oversee an evolving inventory of exploit primitives and agent-specific attack patterns used to establish release criteria and evaluate model security benchmarks.
• Establish Security Scope: Collaborate with Google for conventional infrastructure protection, allowing the team to concentrate solely on agentic logic, model inference, and AI-centric exploits.

About You:

• Bachelor's degree in Computer Science, Information Security, or equivalent practical experience.
• Experience in Red Teaming, Offensive Security, or Adversarial Machine Learning.
• Deep technical understanding of LLM architectures and agentic workflows (e.g., chain-of-thought reasoning, tool usage).
• Proven ability to work in a consulting capacity with product teams, driving security improvements in fast-paced release cycles.
• Experience managing or technically leading small, high-performance engineering teams.

In addition, the following would be an advantage:

• Hands-on experience developing exploits for GenAI models (e.g., prompt injection, adversarial examples, training data extraction).
• Familiarity with AI safety benchmarks and evaluation frameworks.
• Experience writing code (Python, Go, or C++) to build automated security tools or fuzzers.
• Ability to communicate complex probabilistic risks to executive stakeholders and engineering teams effectively.

The US base salary range for this full-time position is between $248,000 - $349,000 + bonus + equity + benefits.

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Role Summary ------------ As our Patent Attorney, you will be at the heart of our innovation strategy, transforming cutting-edge research into a robust and strategic intellectual property portfolio. You will work closely with our world-class research, engineering, and product teams to protect groundbreaking inventions, shape the future of open-source AI, and support the company's global growth.

Key Responsibilities -----------------

Invention Harvesting

Proactively engage with researchers, engineers, and product managers to identify and prioritize patentable inventions. Advise on what to retain as a trade secret and what to file as a patent application. Draft invention memos based on interviews, internal product documentation, and scientific papers. Translate complex technical ideas into clear, defensible disclosures.

Patent Drafting and Prosecution

Prepare independent claims and manage outside counsel in the drafting and global prosecution of patent applications. Supervise office action responses and ensure consistent, high-quality filings.

Inventor Recognition Program

Administer and evolve internal inventor incentives, including bonuses, awards, and visibility initiatives.

M&A Due Diligence

Support IP due diligence in M&A and strategic investment transactions, including assessment of the IP portfolio, freedom-to-operate risks, and competitive positioning of targets.

Processes and Tools

Develop and maintain internal documentation, workflows, and inventor education on the patent process. Build dashboards to track filings, deadlines, and portfolio metrics. Recommend and manage internal IP tools, databases, and docketing systems. Oversee analytics and reporting dashboards for the IP portfolio.

Portfolio Strategy and Budget Management

Contribute to the development of a global IP strategy aligned with corporate goals. Track and manage IP budget and outside counsel performance.

Open Source and Defensive Alliances

Align patent strategy with Mistral's open source objectives. Evaluate and recommend participation in patent pools, defensive patent networks, or other industry alliances that support open innovation while protecting core assets.

Cross-Functional Collaboration

Partner with other legal team members, product, engineering, and research teams to embed IP thinking in the development lifecycle and broader company strategy.

Ideal Candidate Profile --------------------- You Must Have ...

Patent Expertise

Proven experience drafting patents in complex software/AI domains. Deep understanding of AI patent eligibility (US & Europe). Experience in licensing or litigation (a plus for assessing patent quality).

GenAI Literacy

Hands-on experience with LLMs (e.g., building agents, technical projects). Ability to decode and articulate complex technical concepts (model architectures, training methods). Coding skills (Python, etc.) are a strong plus.

Law Firm Management

Experience selecting, managing, and optimizing external patent firms.

Collaboration with Inventors

Ability to engage with researchers/engineers and extract critical information. Talent for explaining IP concepts to non-legal audiences.

Proactive and Resourceful

Self-driven to anticipate needs, engage stakeholders, and document processes.

In addition, the perfect candidate would have...

Business Acumen

Understanding of how patents drive value for a scale-up.

Open-Source Knowledge

Familiarity with open-source licenses and their intersection with patents.

M&A IP Due Diligence

Experience assessing IP in tech transactions.

Languages Fluent English (required for legal/technical writing). French (a plus for day-to-day collaboration).

Benefits

💰 Competitive cash salary and equity

🥕 Food: Daily lunch vouchers

🥎 Sport: Monthly contribution to a Gympass subscription

🚴 Transportation: Monthly contribution to a mobility pass

🧑‍⚕️ Health: Full health insurance for you and your family

🍼 Parental: Generous parental leave policy

🌎 Visa sponsorship

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At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We are a global company with teams distributed between France, USA, UK, Germany and Singapore. We are a diverse workforce that thrives in competitive environments and is committed to driving innovation.

Why This Role Matters

You will be the technical linchpin between Mistral and our strategic partners in ASEAN (Nvidia, Dell, Hyperscalers, Global System Integrators), translating our open-weight models and sovereign AI architecture into deployable, scalable solutions.

By designing joint architectures, influencing partner GTM motions, and earning a seat at the CIO/CTO table, you will accelerate Mistral’s technical credibility and deployment velocity across Asia Pacific.

This is a foundational role where you will define how open-weight AI is operationalized at scale in the region.

What You Will Do

Partner Technical Leadership & Architecture Design

• Lead the technical design, deployment, and enablement of Mistral’s partner solutions, bridging our AI models with partner infrastructure (Nvidia, Dell, Hyperscalers, GSIs) to deliver scalable AI Labs, AI Factories, and sovereign AI architectures.

• Serve as the trusted technical advisor to partner CTOs, CIOs, and engineering leaders—shaping joint architectures, guiding GPU/model deployment strategies, and accelerating GTM execution.

• Design reference architectures and deployment patterns for partner-led implementations (e.g., multi-GPU inference clusters, AI Lab topologies, private AI clouds).

• Innovate the Executive Briefing Center (EBC) function for technical leaders (CIOs, CTOs, CDOs), positioning Mistral as the default choice for enterprise AI.

• Co-design sovereign AI reference architectures with Nvidia and Dell (H100, H200, GB200 platforms).

Co-Sell & Revenue Enablement

• Collaborate with Mistral’s partner and sales teams to progress deals, providing technical expertise to penetrate accounts and influence GTM pipeline.

• Support partners in qualifying/disqualifying opportunities, ensuring Mistral solutions unlock maximum value for customers.

• Deploy Mistral’s enterprise AI suite (models, fine-tuning, use-case building) in partner-led environments, tailoring solutions to customer requirements.

Trusted Advisor & Lighthouse Implementations

• Drive strategic partner-led opportunities through technical discovery, architecture design, and POC execution.

• Lead lighthouse deployments that become referenceable case studies (e.g., Singtel AI Grid, Accenture AI Lab).

• Establish a scalable partner enablement framework, training 100+ partner engineers across ASEAN.

Product Feedback & Internal Collaboration

• Coordinate with Mistral’s product and engineering teams to relay partner-specific requirements and feedback.

• Align joint GTM and technical execution between Mistral Science, Partner Engineering, and partner field teams.

About You

Must-Have

• 10–15 years’ experience in partner-facing technical sales or solution architecture (e.g., Partner SA, Alliance Architect, Partner Technology Strategist).

• Proven ability to engage C-suite and senior technical stakeholders (CTO, CIO, Chief Architect) in strategic architecture discussions.

• Deep GenAI/LLM expertise: RAG, fine-tuning, prompt engineering, model evaluation, and deployment patterns.

• Technical mastery of AI/ML infrastructure (GPU clusters, cloud platforms, model deployment frameworks).

• Track record of co-designing/deploying joint solutions with ecosystem partners (Nvidia, Dell, AWS, Accenture, etc.).

• Executive communication: Ability to articulate science-driven value propositions to technical and business audiences.

• Entrepreneurial mindset: Operates autonomously in high-growth environments; creates playbooks, not follows them.

• Fluent in English; confident working across diverse, cross-cultural teams in Asia.

Nice-to-Have

• Experience with open-weight LLMs or open-source AI stacks (Mistral, Hugging Face, LangChain, vLLM, RAG frameworks).

• Prior involvement in AI Lab, AI Factory, or Sovereign Cloud deployments.

• Familiarity with data governance, model evaluation, and GPU sizing for large-scale inference.

• Network across GSIs and infrastructure partners in Asia

• Exposure to multi-region partner programs or joint GTM initiatives in APJ.

• Bonus languages: Korean, Japanese, or Mandarin for regional partner engagement.

What we offer

• 💰 Competitive cash salary and equity

• 🚑 Health Insurance : Best in Class

• 🥎 Sport : $90 for gym membership allowance

• 🥕 Food : $200 monthly allowance for meals (solution might evolve as we grow bigger)

• 🚴 Transportation : $120/month for public transport or Parking charges reimbursed

• 🏝️ PTO: 18 per year

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At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We are a global company with teams distributed between France, USA, UK, Germany and Singapore. Our diverse workforce thrives in competitive environments and is committed to driving innovation.

About The Job

Mistral AI is seeking an Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges. The Applied AI Engineer - Software Engineer will be an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products.

Responsibilities

• Collaborate closely with researchers, AI engineers, and product engineers on complex customer projects, integrating cutting-edge AI models into clients' software products.

• Design, develop, and maintain scalable and robust full-stack applications, ensuring seamless integration between front-end and back-end systems.

• Develop complex use cases with our customers, providing guidance and ensuring the best production integration with back-end and front-end interfaces.

• Collaborate with our product and science team to continuously improve our product and model capabilities based on customers' feedback.

About You

• You are fluent in English.

• You hold a degree in Computer Science, Software Engineering, or a related field.

• You have 2+ years as a technical individual contributor on cutting-edge technologies.

• You have strong technical coding skills in Python and TypeScript.

• You have experience with front-end frameworks such as React, NextJS, or VueJS.

• You have experience with back-end technologies such as NodeJS.

• You have a solid understanding of software development principles, including design patterns, data structures, and algorithms.

• You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences.

Ideally you have:

• Experience with LLM/GenAI models.

• Contributed to open-source projects or libraries.

• Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager.

Benefits

We have local offices in Paris, London, Marseille and Singapore.

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Mistral AI is seeking an Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges. The Applied AI Engineer - Software Engineer will be an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products.

Responsibilities

• Collaborate closely with researchers, AI engineers, and product engineers on complex customer projects, integrating cutting-edge AI models into clients' software products.
• Design, develop, and maintain scalable and robust full-stack applications, ensuring seamless integration between front-end and back-end systems.
• Develop complex use cases with our customers, providing guidance and ensuring the best production integration with back-end and front-end interfaces.
• Collaborate with our product and science team to continuously improve our product and model capabilities based on customers' feedback.

About You

• You are fluent in English.
• You hold a degree in Computer Science, Software Engineering, or a related field.
• You have 2+ years as a technical individual contributor on cutting-edge technologies.
• You have strong technical coding skills in Python and TypeScript.
• You have experience with front-end frameworks such as React, NextJS, or VueJS.
• You have experience with back-end technologies such as NodeJS.
• You have a solid understanding of software development principles, including design patterns, data structures, and algorithms.
• You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences.

Ideally You Have:

• Experience with LLM/GenAI models.
• Contributed to open-source projects or libraries.
• Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager.

Benefits

• We have local offices in Paris, London, Marseille, and Singapore.
• Competitive cash salary and equity.
• Food: Daily lunch vouchers.
• Sport: Monthly contribution to a Gympass subscription.
• Transportation: Monthly contribution to a mobility pass.
• Health: Full health insurance for you and your family.
• Parental: Generous parental leave policy.
• Visa sponsorship.

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Team Function:

The CAS (Customer Agent Solutions) Digital Service Operations team manages the E2E digital service operations for all digital channels. The team collaborates with multiple cross-functional teams and bridges the gap between strategic goals and daily execution by day-to-day management of performance monitoring, defect management, optimization testing, infra and capabilities functions to ensure operations delivers on its daily/weekly/monthly handling objectives. Works as liaison between product and technology operations to reach the forecasted KPI targets for digital service customer experiences.

Role Description:

This role operates at the intersection of digital operations, customer experience, and AI-powered transformation. You will help drive the integration of intelligent automation, predictive analytics, and GenAI capabilities into digital service channels to improve customer experiences, enhance agent efficiency, and optimize operational performance.

As a Digital Product Operations Manager, you will:

• Oversee end-to-end digital service operations across customer and agent journeys, partnering with Product, Technology, and Architecture teams to ensure smooth delivery of features, fixes, and enhancements.

• Define and monitor KPIs such as experience scores, CSAT, FCR, and system uptime to track digital performance across various digital channels.

• Drive real-time customer and agent experience tracking, identify friction points, and lead UX improvement initiatives backed by data analysis and user feedback.

• Manage critical defects and high-priority escalations by coordinating with stakeholder teams to ensure rapid and accurate resolution.

• Build and maintain real-time dashboards to surface trends, generate insights, and inform leadership decisions; leverage tools such as Qualtrics, Mixpanel, and Fullstory etc.

• Use customer and partner research to strengthen analytical capabilities, identify market trends, and recommend customer experience enhancements.

• Partner with data science, analytics, and engineering teams to embed AI-driven insights into digital operations, enabling proactive issue detection and resolution.

• Apply AI-based predictive models to forecast demand, detect patterns, and inform operational and resource planning.

• Evaluate and operationalize AI copilots, GenAI assistants, and automation tools to streamline agent workflows and improve customer self-service.

• Promote responsible AI through governance, transparency, bias monitoring, explainability, and data privacy practices.

• Lead GenAI-powered experiments that include personalized content, conversational experiences, and journey-level optimizations.

• Support AI-driven journey analytics using NLP, clustering, sentiment analysis, and behavioral modeling to improve customer understanding.

Key Responsibilities:

• Identify and scope opportunities to utilize AI, machine learning, and automation to optimize digital experience operations and agent support processes.

• Collaborate with product owners to build AI-informed business cases, including ROI modeling for predictive experiences, intelligent routing, and automated troubleshooting.

• Manage AI-enabled dashboards and monitoring systems that surface real-time anomalies, experience dips, and emerging performance trends.

• Partner with CX, analytics, and engineering teams to run A/B tests leveraging AI-generated variants, measuring uplift and customer impact.

• Translate customer and agent insights using AI-powered analytics (e.g., text/sentiment analysis, pattern detection) into actionable recommendations for journey improvements.

• Apply GenAI capabilities to improve team operations, e.g., automated insights summaries, triaging, root cause analysis drafting, and workflow documentation.

Experience & Education Requirements:

• Overall experience >8 years, 5+ years’ experience required with extensive relevant customer understanding/user research/consulting experience, packaging and delivering insights to influence change. 6+ years of combined experience required in analytics, performance reporting, and/or process improvement.

• Advanced project and process management experience. Agile preferred.

• Bachelor's degree preferred in Technology, Mathematics, Statistics, Business, or related field.

• Master’s degree preferred in Management, Analytics, Artificial Intelligence.

• Experience working with AI/ML-driven platforms or analytics tools (e.g., customer behavioral modeling, NLP pipelines, predictive analytics).

• Background or coursework in AI, machine learning, data science, or human-centered AI preferred.

• Demonstrated ability to translate technical AI concepts into business language for non-technical stakeholders.

Other Critical Skills:

• Familiarity with GenAI tools, conversational AI platforms, and AI-assisted productivity solutions.

• Ability to interpret outputs from models using techniques such as anomaly detection, clustering, and predictive scoring.

• Strong understanding of AI ethics, governance, and responsible AI frameworks.

• Comfortable working in environments where AI-driven decision automation informs prioritization and operational strategies.

• Possesses strong technical aptitude. Intermediate knowledge in using analytic tools such as Tableau and Microsoft Excel. Proficient in Microsoft Office including MS Word, Excel, Outlook, PowerPoint.

• Strong verbal communication and listening skills. Strong business acumen, with effective written and verbal communication skills.

• Ability to communicate, influence, and deliver with cross-functional teams and enterprise stakeholders. Ability to manage multiple projects with tight deadlines effectively with cross functional teams.

Software / Tool Skills:

• Experience with AI/ML or data intelligence platforms (e.g., Azure ML, AWS SageMaker, Google Vertex AI—basic exposure acceptable).

• Hands-on familiarity with GenAI copilots, prompt engineering concepts, or LLM-based experience analysis tools.

• Experience interpreting insights from NLP, AI-powered text analytics, or conversational AI systems.

• Hands on experience with user Feedback/Data analysis tools – Qualtrics, Fullstory, Mixpanel etc.

• Good proficiency or practical experience of A/B Testing tools.

• Agile tools such as Jira, Rally etc.

• Understanding of Contact center and CMS tools.

• Excel - Intermediate/Advanced. Proficiency in Microsoft 365

• Power BI (Highly Preferred)

Requirements:

Must to have Skiils:

• Digital Performance monitoring
• Data analytics & visualization
• Predictive Analytics & Infrastructure scaling
• Crash/Anomaly Detection
• Bundle Optimization

Benefits:

Competitive compensation and benefits package:

1. Competitive salary and performance-based bonuses

1. Comprehensive benefits package

1. Career development and training opportunities

1. Flexible work arrangements (remote and/or office-based)

1. Dynamic and inclusive work culture within a globally renowned group

1. Private Health Insurance

1. Pension Plan

1. Paid Time Off

1. Training & Development

Note: Benefits differ based on employee level.

XML job scraping automation by YubHub

You will operate at the intersection of digital operations, customer experience, and AI-powered transformation. This role helps drive the integration of intelligent automation, predictive analytics, and GenAI capabilities into digital service channels to improve customer experiences, enhance agent efficiency, and optimize operational performance.

Key Responsibilities

• Oversee end-to-end digital service operations across customer and agent journeys, partnering with Product, Technology, and Architecture teams to ensure smooth delivery of features, fixes, and enhancements.
• Define and monitor KPIs such as experience scores, CSAT, FCR, and system uptime to track digital performance across various digital channels.
• Drive real-time customer and agent experience tracking, identify friction points, and lead UX improvement initiatives backed by data analysis and user feedback.
• Manage critical defects and high-priority escalations by coordinating with stakeholder teams to ensure rapid and accurate resolution.
• Build and maintain real-time dashboards to surface trends, generate insights, and inform leadership decisions; leverage tools such as Qualtrics, Mixpanel, and Fullstory etc.
• Use customer and partner research to strengthen analytical capabilities, identify market trends, and recommend customer experience enhancements.
• Partner with data science, analytics, and engineering teams to embed AI-driven insights into digital operations, enabling proactive issue detection and resolution.
• Apply AI-based predictive models to forecast demand, detect patterns, and inform operational and resource planning.
• Evaluate and operationalize AI copilots, GenAI assistants, and automation tools to streamline agent workflows and improve customer self-service.
• Promote responsible AI through governance, transparency, bias monitoring, explainability, and data privacy practices.
• Lead GenAI-powered experiments that include personalized content, conversational experiences, and journey-level optimizations.
• Support AI-driven journey analytics using NLP, clustering, sentiment analysis, and behavioral modeling to improve customer understanding.

Experience & Education Requirements

• Overall experience >4-6 years, 2+ years’ experience required with extensive relevant customer understanding/user research/consulting experience, packaging and delivering insights to influence change. 2+ years of combined experience required in analytics, performance reporting, and/or process improvement.
• Advanced project and process management experience. Agile preferred.
• Bachelor's degree preferred in Technology, Mathematics, Statistics, Business, or related field.
• Master’s degree preferred in Management, Analytics, Artificial Intelligence.
• Experience working with AI/ML-driven platforms or analytics tools (e.g., customer behavioral modeling, NLP pipelines, predictive analytics).
• Background or coursework in AI, machine learning, data science, or human-centered AI preferred.
• Demonstrated ability to translate technical AI concepts into business language for non-technical stakeholders.
• Availability to work in PST time zone.

Other Critical Skills

• Familiarity with GenAI tools, conversational AI platforms, and AI-assisted productivity solutions.
• Ability to interpret outputs from models using techniques such as anomaly detection, clustering, and predictive scoring.
• Strong understanding of AI ethics, governance, and responsible AI frameworks.
• Comfortable working in environments where AI-driven decision automation informs prioritization and operational strategies.
• Possesses strong technical aptitude. Intermediate knowledge in using analytic tools such as Tableau and Microsoft Excel. Proficient in Microsoft Office including MS Word, Excel, Outlook, PowerPoint.
• Strong verbal communication and listening skills. Strong business acumen, with effective written and verbal communication skills.
• Ability to communicate, influence, and deliver with cross-functional teams and enterprise stakeholders. Ability to manage multiple projects with tight deadlines effectively with cross functional teams.

Software / Tool Skills

• Experience with AI/ML or data intelligence platforms (e.g., Azure ML, AWS SageMaker, Google Vertex AI—basic exposure acceptable).
• Hands-on familiarity with GenAI copilots, prompt engineering concepts, or LLM-based experience analysis tools.
• Experience interpreting insights from NLP, AI-powered text analytics, or conversational AI systems.
• Hands on experience with user Feedback/Data analysis tools – Qualtrics, Fullstory, Mixpanel etc.
• Good proficiency or practical experience of A/B Testing tools.
• Agile tools such as Jira, Rally etc.
• Understanding of Contact center and CMS tools.
• Excel - Intermediate/Advanced. Proficiency in Microsoft 365
• Power BI (Highly Preferred)

Requirements

• Content Management Systems
• Messaging Platforms
• Workflow optimization
• Hyper-personalization
• Data-integrity & troubleshooting
• Performance reporting
• Agile
• Stakeholder communication

Benefits

• Competitive compensation and benefits package:

1. Competitive salary and performance-based bonuses
2. Comprehensive benefits package
3. Career development and training opportunities
4. Flexible work arrangements (remote and/or office-based)
5. Dynamic and inclusive work culture within a globally renowned group
6. Private Health Insurance
7. Pension Plan
8. Paid Time Off
9. Training & Development

Note: Benefits differ based on employee level.

XML job scraping automation by YubHub

As a Customer Experience Digital Operations Manager, you will oversee end-to-end digital service operations across customer and agent journeys, partnering with Product, Technology, and Architecture teams to ensure smooth delivery of features, fixes, and enhancements. You will define and monitor KPIs such as experience scores, CSAT, FCR, and system uptime to track digital performance across various digital channels.

You will drive real-time customer and agent experience tracking, identify friction points, and lead UX improvement initiatives backed by data analysis and user feedback. You will manage critical defects and high-priority escalations by coordinating with stakeholder teams to ensure rapid and accurate resolution.

You will build and maintain real-time dashboards to surface trends, generate insights, and inform leadership decisions; leverage tools such as Qualtrics, Mixpanel, and Fullstory etc. You will use customer and partner research to strengthen analytical capabilities, identify market trends, and recommend customer experience enhancements.

You will partner with data science, analytics, and engineering teams to embed AI-driven insights into digital operations, enabling proactive issue detection and resolution. You will apply AI-based predictive models to forecast demand, detect patterns, and inform operational and resource planning.

You will evaluate and operationalize AI copilots, GenAI assistants, and automation tools to streamline agent workflows and improve customer self-service. You will promote responsible AI through governance, transparency, bias monitoring, explainability, and data privacy practices.

You will lead GenAI-powered experiments that include personalized content, conversational experiences, and journey-level optimizations. You will support AI-driven journey analytics using NLP, clustering, sentiment analysis, and behavioral modeling to improve customer understanding.

Key Responsibilities

• Identify and scope opportunities to utilize AI, machine learning, and automation to optimize digital experience operations and agent support processes.
• Collaborate with product owners to build AI-informed business cases, including ROI modeling for predictive experiences, intelligent routing, and automated troubleshooting.
• Manage AI-enabled dashboards and monitoring systems that surface real-time anomalies, experience dips, and emerging performance trends.
• Partner with CX, analytics, and engineering teams to run A/B tests leveraging AI-generated variants, measuring uplift and customer impact.
• Translate customer and agent insights using AI-powered analytics (e.g., text/sentiment analysis, pattern detection) into actionable recommendations for journey improvements.
• Apply GenAI capabilities to improve team operations, e.g., automated insights summaries, triaging, root cause analysis drafting, and workflow documentation.

Experience & Education Requirements:

• Overall experience >8 years, 5+ years’ experience required with extensive relevant customer understanding/user research/consulting experience, packaging and delivering insights to influence change. 6+ years of combined experience required in analytics, performance reporting, and/or process improvement.
• Advanced project and process management experience. Agile preferred.
• Bachelor's degree preferred in Technology, Mathematics, Statistics, Business, or related field.
• Master’s degree preferred in Management, Analytics, Artificial Intelligence.
• Experience working with AI/ML-driven platforms or analytics tools (e.g., customer behavioral modeling, NLP pipelines, predictive analytics).
• Background or coursework in AI, machine learning, data science, or human-centered AI preferred.
• Demonstrated ability to translate technical AI concepts into business language for non-technical stakeholders.
• Availability to work in PST time zone.

Requirements

• Familiarity with GenAI tools, conversational AI platforms, and AI-assisted productivity solutions.
• Ability to interpret outputs from models using techniques such as anomaly detection, clustering, and predictive scoring.
• Strong understanding of AI ethics, governance, and responsible AI frameworks.
• Comfortable working in environments where AI-driven decision automation informs prioritization and operational strategies.
• Possesses strong technical aptitude. Intermediate knowledge in using analytic tools such as Tableau and Microsoft Excel. Proficient in Microsoft Office including MS Word, Excel, Outlook, PowerPoint.
• Strong verbal communication and listening skills. Strong business acumen, with effective written and verbal communication skills.
• Ability to communicate, influence, and deliver with cross-functional teams and enterprise stakeholders. Ability to manage multiple projects with tight deadlines effectively with cross functional teams.

Software / Tool Skills

• Experience with AI/ML or data intelligence platforms (e.g., Azure ML, AWS SageMaker, Google Vertex AI—basic exposure acceptable).
• Hands-on familiarity with GenAI copilots, prompt engineering concepts, or LLM-based experience analysis tools.
• Experience interpreting insights from NLP, AI-powered text analytics, or conversational AI systems.
• Hands on experience with user Feedback/Data analysis tools – Qualtrics, Fullstory, Mixpanel etc.
• Good proficiency or practical experience of A/B Testing tools.
• Agile tools such as Jira, Rally etc.
• Understanding of Contact center and CMS tools.
• Excel - Intermediate/Advanced. Proficiency in Microsoft 365
• Power BI (Highly Preferred)

Benefits

• Competitive compensation and benefits package:
  • Competitive salary and performance-based bonuses
  • Comprehensive benefits package
  • Career development and training opportunities
  • Flexible work arrangements (remote and/or office-based)
  • Dynamic and inclusive work culture within a globally renowned group
  • Private Health Insurance
  • Pension Plan
  • Paid Time Off
  • Training & Development

Note: Benefits differ based on employee level.

XML job scraping automation by YubHub

This role operates at the intersection of digital operations, customer experience, and AI-powered transformation. You will help drive the integration of intelligent automation, predictive analytics, and GenAI capabilities into digital service channels to improve customer experiences, enhance agent efficiency, and optimize operational performance.

Key Responsibilities

• Identify and scope opportunities to utilize AI, machine learning, and automation to optimize digital experience operations and agent support processes.
• Collaborate with product owners to build AI-informed business cases, including ROI modeling for predictive experiences, intelligent routing, and automated troubleshooting.
• Manage AI-enabled dashboards and monitoring systems that surface real-time anomalies, experience dips, and emerging performance trends.
• Partner with CX, analytics, and engineering teams to run A/B tests leveraging AI-generated variants, measuring uplift and customer impact.
• Translate customer and agent insights using AI-powered analytics (e.g., text/sentiment analysis, pattern detection) into actionable recommendations for journey improvements.
• Apply GenAI capabilities to improve team operations, e.g., automated insights summaries, triaging, root cause analysis drafting, and workflow documentation.

Experience & Education Requirements

• Overall experience >4 years, 2 years’ experience required with extensive relevant customer understanding/user research/consulting experience, packaging and delivering insights to influence change. 2 years of combined experience required in analytics, performance reporting, and/or process improvement.
• Advanced project and process management experience. Agile preferred.
• Bachelor's degree preferred in Technology, Mathematics, Statistics, Business, or related field.
• Master’s degree preferred in Management, Analytics, Artificial Intelligence.
• Experience working with AI/ML-driven platforms or analytics tools (e.g., customer behavioral modeling, NLP pipelines, predictive analytics).
• Background or coursework in AI, machine learning, data science, or human-centered AI preferred.
• Demonstrated ability to translate technical AI concepts into business language for non-technical stakeholders.

Other Critical Skills

• Familiarity with GenAI tools, conversational AI platforms, and AI-assisted productivity solutions.
• Ability to interpret outputs from models using techniques such as anomaly detection, clustering, and predictive scoring.
• Strong understanding of AI ethics, governance, and responsible AI frameworks.
• Comfortable working in environments where AI-driven decision automation informs prioritization and operational strategies.
• Possesses strong technical aptitude. Intermediate knowledge in using analytic tools such as Tableau and Microsoft Excel. Proficient in Microsoft Office including MS Word, Excel, Outlook, PowerPoint.
• Strong verbal communication and listening skills. Strong business acumen, with effective written and verbal communication skills.
• Ability to communicate, influence, and deliver with cross-functional teams and enterprise stakeholders. Ability to manage multiple projects with tight deadlines effectively with cross functional teams.

Software / Tool Skills

• Experience with AI/ML or data intelligence platforms (e.g., Azure ML, AWS SageMaker, Google Vertex AI—basic exposure acceptable).
• Hands-on familiarity with GenAI copilots, prompt engineering concepts, or LLM-based experience analysis tools.
• Experience interpreting insights from NLP, AI-powered text analytics, or conversational AI systems.
• Hands on experience with user Feedback/Data analysis tools – Qualtrics, Fullstory, Mixpanel etc.
• Good proficiency or practical experience of A/B Testing tools.
• Agile tools such as Jira, Rally etc.
• Understanding of Contact center and CMS tools.
• Excel - Intermediate/Advanced. Proficiency in Microsoft 365
• Power BI (Highly Preferred)

Requirements

• Defect management
• Triage & Classification
• Defect Monitoring
• Resolution Management
• RCA
• Data Analysis
• Stakeholder communication

Benefits

• Competitive compensation and benefits package:

1. Competitive salary and performance-based bonuses
2. Comprehensive benefits package
3. Career development and training opportunities
4. Flexible work arrangements (remote and/or office-based)
5. Dynamic and inclusive work culture within a globally renowned group
6. Private Health Insurance
7. Pension Plan
8. Paid Time Off
9. Training & Development

Note: Benefits differ based on employee level.

XML job scraping automation by YubHub

This role operates at the intersection of digital operations, customer experience, and AI-powered transformation. You will help drive the integration of intelligent automation, predictive analytics, and GenAI capabilities into digital service channels to improve customer experiences, enhance agent efficiency, and optimize operational performance.

Key Responsibilities

• Identify and scope opportunities to utilize AI, machine learning, and automation to optimize digital experience operations and agent support processes.
• Collaborate with product owners to build AI-informed business cases, including ROI modeling for predictive experiences, intelligent routing, and automated troubleshooting.
• Manage AI-enabled dashboards and monitoring systems that surface real-time anomalies, experience dips, and emerging performance trends.
• Partner with CX, analytics, and engineering teams to run A/B tests leveraging AI-generated variants, measuring uplift and customer impact.
• Translate customer and agent insights using AI-powered analytics (e.g., text/sentiment analysis, pattern detection) into actionable recommendations for journey improvements.
• Apply GenAI capabilities to improve team operations, e.g., automated insights summaries, triaging, root cause analysis drafting, and workflow documentation.

Experience & Education Requirements

• Overall experience > 6-8 years, 4+ years’ experience required with extensive relevant customer understanding/user research/consulting experience, packaging and delivering insights to influence change. 4+ years of combined experience required in analytics, performance reporting, and/or process improvement.
• Advanced project and process management experience. Agile preferred.
• Bachelor's degree preferred in Technology, Mathematics, Statistics, Business, or related field.
• Master’s degree preferred in Management, Analytics, Artificial Intelligence.
• Experience working with AI/ML-driven platforms or analytics tools (e.g., customer behavioral modeling, NLP pipelines, predictive analytics).
• Background or coursework in AI, machine learning, data science, or human-centered AI preferred.
• Demonstrated ability to translate technical AI concepts into business language for non-technical stakeholders.

Other Critical Skills

• Familiarity with GenAI tools, conversational AI platforms, and AI-assisted productivity solutions.
• Ability to interpret outputs from models using techniques such as anomaly detection, clustering, and predictive scoring.
• Strong understanding of AI ethics, governance, and responsible AI frameworks.
• Comfortable working in environments where AI-driven decision automation informs prioritization and operational strategies.
• Possesses strong technical aptitude. Intermediate knowledge in using analytic tools such as Tableau and Microsoft Excel. Proficient in Microsoft Office including MS Word, Excel, Outlook, PowerPoint.
• Strong verbal communication and listening skills. Strong business acumen, with effective written and verbal communication skills.
• Ability to communicate, influence, and deliver with cross-functional teams and enterprise stakeholders. Ability to manage multiple projects with tight deadlines effectively with cross functional teams.

Software / Tool Skills

• Experience with AI/ML or data intelligence platforms (e.g., Azure ML, AWS SageMaker, Google Vertex AI—basic exposure acceptable).
• Hands-on familiarity with GenAI copilots, prompt engineering concepts, or LLM-based experience analysis tools.
• Experience interpreting insights from NLP, AI-powered text analytics, or conversational AI systems.
• Hands on experience with user Feedback/Data analysis tools – Qualtrics, Fullstory, Mixpanel etc.
• Good proficiency or practical experience of A/B Testing tools.
• Agile tools such as Jira, Rally etc.
• Understanding of Contact center and CMS tools.
• Excel - Intermediate/Advanced. Proficiency in Microsoft 365
• Power BI (Highly Preferred)

Requirements

• Optimization Testing ( A/B Testing )
• Multivariate testing
• Personalization
• Digital Workflow optimization
• Stakeholder collaboration

Benefits

• Competitive compensation and benefits package:

1. Competitive salary and performance-based bonuses
2. Comprehensive benefits package
3. Career development and training opportunities
4. Flexible work arrangements (remote and/or office-based)
5. Dynamic and inclusive work culture within a globally renowned group
6. Private Health Insurance
7. Pension Plan
8. Paid Time Off
9. Training & Development

Note: Benefits differ based on employee level.

XML job scraping automation by YubHub

This role operates at the intersection of digital operations, customer experience, and AI-powered transformation. You will help drive the integration of intelligent automation, predictive analytics, and GenAI capabilities into digital service channels to improve customer experiences, enhance agent efficiency, and optimize operational performance.

Key Responsibilities

• Identify and scope opportunities to utilize AI, machine learning, and automation to optimize digital experience operations and agent support processes.
• Collaborate with product owners to build AI-informed business cases, including ROI modeling for predictive experiences, intelligent routing, and automated troubleshooting.
• Manage AI-enabled dashboards and monitoring systems that surface real-time anomalies, experience dips, and emerging performance trends.
• Partner with CX, analytics, and engineering teams to run A/B tests leveraging AI-generated variants, measuring uplift and customer impact.
• Translate customer and agent insights using AI-powered analytics (e.g., text/sentiment analysis, pattern detection) into actionable recommendations for journey improvements.
• Apply GenAI capabilities to improve team operations, e.g., automated insights summaries, triaging, root cause analysis drafting, and workflow documentation.

Experience & Education Requirements

• Overall experience >4-6 years, 2+ years’ experience required with extensive relevant customer understanding/user research/consulting experience, packaging and delivering insights to influence change. 2+ years of combined experience required in analytics, performance reporting, and/or process improvement.
• Advanced project and process management experience. Agile preferred.
• Bachelor's degree preferred in Technology, Mathematics, Statistics, Business, or related field.
• Master’s degree preferred in Management, Analytics, Artificial Intelligence.
• Experience working with AI/ML-driven platforms or analytics tools (e.g., customer behavioral modeling, NLP pipelines, predictive analytics).
• Background or coursework in AI, machine learning, data science, or human-centered AI preferred.
• Demonstrated ability to translate technical AI concepts into business language for non-technical stakeholders.

Other Critical Skills

• Familiarity with GenAI tools, conversational AI platforms, and AI-assisted productivity solutions.
• Ability to interpret outputs from models using techniques such as anomaly detection, clustering, and predictive scoring.
• Strong understanding of AI ethics, governance, and responsible AI frameworks.
• Comfortable working in environments where AI-driven decision automation informs prioritization and operational strategies.
• Possesses strong technical aptitude. Intermediate knowledge in using analytic tools such as Tableau and Microsoft Excel. Proficient in Microsoft Office including MS Word, Excel, Outlook, PowerPoint.
• Strong verbal communication and listening skills. Strong business acumen, with effective written and verbal communication skills.
• Ability to communicate, influence, and deliver with cross-functional teams and enterprise stakeholders. Ability to manage multiple projects with tight deadlines effectively with cross functional teams.

Software / Tool Skills

• Experience with AI/ML or data intelligence platforms (e.g., Azure ML, AWS SageMaker, Google Vertex AI—basic exposure acceptable).
• Hands-on familiarity with GenAI copilots, prompt engineering concepts, or LLM-based experience analysis tools.
• Experience interpreting insights from NLP, AI-powered text analytics, or conversational AI systems.
• Hands on experience with user Feedback/Data analysis tools – Qualtrics, Fullstory, Mixpanel etc.
• Good proficiency or practical experience of A/B Testing tools.
• Agile tools such as Jira, Rally etc.
• Understanding of Contact center and CMS tools.
• Excel - Intermediate/Advanced. Proficiency in Microsoft 365
• Power BI (Highly Preferred)

Requirements

• Content Management Systems
• Messaging Platforms
• Workflow optimization
• Hyper-personalization
• Data-integrity & troubleshooting
• Performance reporting
• Agile
• Stakeholder communication

Benefits

• Competitive compensation and benefits package:

1. Competitive salary and performance-based bonuses
2. Comprehensive benefits package
3. Career development and training opportunities
4. Flexible work arrangements (remote and/or office-based)
5. Dynamic and inclusive work culture within a globally renowned group
6. Private Health Insurance
7. Pension Plan
8. Paid Time Off
9. Training & Development

Note: Benefits differ based on employee level.

XML job scraping automation by YubHub

This role operates at the intersection of digital operations, customer experience, and AI-powered transformation. You will help drive the integration of intelligent automation, predictive analytics, and GenAI capabilities into digital service channels to improve customer experiences, enhance agent efficiency, and optimize operational performance.

Responsibilities

• Oversee end-to-end digital service operations across customer and agent journeys, partnering with Product, Technology, and Architecture teams to ensure smooth delivery of features, fixes, and enhancements.
• Define and monitor KPIs such as experience scores, CSAT, FCR, and system uptime to track digital performance across various digital channels.
• Drive real-time customer and agent experience tracking, identify friction points, and lead UX improvement initiatives backed by data analysis and user feedback.
• Manage critical defects and high-priority escalations by coordinating with stakeholder teams to ensure rapid and accurate resolution.
• Build and maintain real-time dashboards to surface trends, generate insights, and inform leadership decisions; leverage tools such as Qualtrics, Mixpanel, and Fullstory etc.
• Use customer and partner research to strengthen analytical capabilities, identify market trends, and recommend customer experience enhancements.
• Partner with data science, analytics, and engineering teams to embed AI-driven insights into digital operations, enabling proactive issue detection and resolution.
• Apply AI-based predictive models to forecast demand, detect patterns, and inform operational and resource planning.
• Evaluate and operationalize AI copilots, GenAI assistants, and automation tools to streamline agent workflows and improve customer self-service.
• Promote responsible AI through governance, transparency, bias monitoring, explainability, and data privacy practices.
• Lead GenAI-powered experiments that include personalized content, conversational experiences, and journey-level optimizations.
• Support AI-driven journey analytics using NLP, clustering, sentiment analysis, and behavioral modeling to improve customer understanding.

Key Responsibilities

• Identify and scope opportunities to utilize AI, machine learning, and automation to optimize digital experience operations and agent support processes.
• Collaborate with product owners to build AI-informed business cases, including ROI modeling for predictive experiences, intelligent routing, and automated troubleshooting.
• Manage AI-enabled dashboards and monitoring systems that surface real-time anomalies, experience dips, and emerging performance trends.
• Partner with CX, analytics, and engineering teams to run A/B tests leveraging AI-generated variants, measuring uplift and customer impact.
• Translate customer and agent insights using AI-powered analytics (e.g., text/sentiment analysis, pattern detection) into actionable recommendations for journey improvements.
• Apply GenAI capabilities to improve team operations, e.g., automated insights summaries, triaging, root cause analysis drafting, and workflow documentation.

Experience & Education Requirements

• Overall experience >8 years, 5+ years’ experience required with extensive relevant customer understanding/user research/consulting experience, packaging and delivering insights to influence change. 6+ years of combined experience required in analytics, performance reporting, and/or process improvement.
• Advanced project and process management experience. Agile preferred.
• Bachelor's degree preferred in Technology, Mathematics, Statistics, Business, or related field.
• Master’s degree preferred in Management, Analytics, Artificial Intelligence.
• Experience working with AI/ML-driven platforms or analytics tools (e.g., customer behavioral modeling, NLP pipelines, predictive analytics).
• Background or coursework in AI, machine learning, data science, or human-centered AI preferred.
• Demonstrated ability to translate technical AI concepts into business language for non-technical stakeholders.
• Availability to work in PST time zone.

Other Critical Skills

• Familiarity with GenAI tools, conversational AI platforms, and AI-assisted productivity solutions.
• Ability to interpret outputs from models using techniques such as anomaly detection, clustering, and predictive scoring.
• Strong understanding of AI ethics, governance, and responsible AI frameworks.
• Comfortable working in environments where AI-driven decision automation informs prioritization and operational strategies.
• Possesses strong technical aptitude. Intermediate knowledge in using analytic tools such as Tableau and Microsoft Excel. Proficient in Microsoft Office including MS Word, Excel, Outlook, PowerPoint.
• Strong verbal communication and listening skills. Strong business acumen, with effective written and verbal communication skills.
• Ability to communicate, influence, and deliver with cross-functional teams and enterprise stakeholders. Ability to manage multiple projects with tight deadlines effectively with cross functional teams.

Software / Tool Skills

• Experience with AI/ML or data intelligence platforms (e.g., Azure ML, AWS SageMaker, Google Vertex AI—basic exposure acceptable).
• Hands-on familiarity with GenAI copilots, prompt engineering concepts, or LLM-based experience analysis tools.
• Experience interpreting insights from NLP, AI-powered text analytics, or conversational AI systems.
• Hands on experience with user Feedback/Data analysis tools – Qualtrics, Fullstory, Mixpanel etc.
• Good proficiency or practical experience of A/B Testing tools.
• Agile tools such as Jira, Rally etc.
• Understanding of Contact center and CMS tools.
• Excel - Intermediate/Advanced. Proficiency in Microsoft 365
• Power BI (Highly Preferred)

Benefits

Competitive compensation and benefits package:

1. Competitive salary and performance-based bonuses
2. Comprehensive benefits package
3. Career development and training opportunities
4. Flexible work arrangements (remote and/or office-based)
5. Dynamic and inclusive work culture within a globally renowned group
6. Private Health Insurance
7. Pension Plan
8. Paid Time Off
9. Training & Development

Note: Benefits differ based on employee level.

XML job scraping automation by YubHub

This role operates at the intersection of digital operations, customer experience, and AI-powered transformation. You will help drive the integration of intelligent automation, predictive analytics, and GenAI capabilities into digital service channels to improve customer experiences, enhance agent efficiency, and optimize operational performance.

As a Digital Product Operations Manager, you will:

• Oversee end-to-end digital service operations across customer and agent journeys, partnering with Product, Technology, and Architecture teams to ensure smooth delivery of features, fixes, and enhancements.
• Define and monitor KPIs such as experience scores, CSAT, FCR, and system uptime to track digital performance across various digital channels.
• Drive real-time customer and agent experience tracking, identify friction points, and lead UX improvement initiatives backed by data analysis and user feedback.
• Manage critical defects and high-priority escalations by coordinating with stakeholder teams to ensure rapid and accurate resolution.
• Build and maintain real-time dashboards to surface trends, generate insights, and inform leadership decisions; leverage tools such as Qualtrics, Mixpanel, and Fullstory etc.
• Use customer and partner research to strengthen analytical capabilities, identify market trends, and recommend customer experience enhancements.
• Partner with data science, analytics, and engineering teams to embed AI-driven insights into digital operations, enabling proactive issue detection and resolution.
• Apply AI-based predictive models to forecast demand, detect patterns, and inform operational and resource planning.
• Evaluate and operationalize AI copilots, GenAI assistants, and automation tools to streamline agent workflows and improve customer self-service.
• Promote responsible AI through governance, transparency, bias monitoring, explainability, and data privacy practices.
• Lead GenAI-powered experiments that include personalized content, conversational experiences, and journey-level optimizations.
• Support AI-driven journey analytics using NLP, clustering, sentiment analysis, and behavioral modeling to improve customer understanding.

Key Responsibilities:

• Identify and scope opportunities to utilize AI, machine learning, and automation to optimize digital experience operations and agent support processes.
• Collaborate with product owners to build AI-informed business cases, including ROI modeling for predictive experiences, intelligent routing, and automated troubleshooting.
• Manage AI-enabled dashboards and monitoring systems that surface real-time anomalies, experience dips, and emerging performance trends.
• Partner with CX, analytics, and engineering teams to run A/B tests leveraging AI-generated variants, measuring uplift and customer impact.
• Translate customer and agent insights using AI-powered analytics (e.g., text/sentiment analysis, pattern detection) into actionable recommendations for journey improvements.
• Apply GenAI capabilities to improve team operations, e.g., automated insights summaries, triaging, root cause analysis drafting, and workflow documentation.

Experience & Education Requirements:

• Overall experience > 6-8 years, 4+ years’ experience required with extensive relevant customer understanding/user research/consulting experience, packaging and delivering insights to influence change. 4+ years of combined experience required in analytics, performance reporting, and/or process improvement.
• Advanced project and process management experience. Agile preferred.
• Bachelor's degree preferred in Technology, Mathematics, Statistics, Business, or related field.
• Master’s degree preferred in Management, Analytics, Artificial Intelligence.
• Experience working with AI/ML-driven platforms or analytics tools (e.g., customer behavioral modeling, NLP pipelines, predictive analytics).
• Background or coursework in AI, machine learning, data science, or human-centered AI preferred.
• Demonstrated ability to translate technical AI concepts into business language for non-technical stakeholders.
• Availability to work in PST time zone.

Other Critical Skills:

• Familiarity with GenAI tools, conversational AI platforms, and AI-assisted productivity solutions.
• Ability to interpret outputs from models using techniques such as anomaly detection, clustering, and predictive scoring.
• Strong understanding of AI ethics, governance, and responsible AI frameworks.
• Comfortable working in environments where AI-driven decision automation informs prioritization and operational strategies.
• Possesses strong technical aptitude. Intermediate knowledge in using analytic tools such as Tableau and Microsoft Excel. Proficient in Microsoft Office including MS Word, Excel, Outlook, PowerPoint.
• Strong verbal communication and listening skills. Strong business acumen, with effective written and verbal communication skills.
• Ability to communicate, influence, and deliver with cross-functional teams and enterprise stakeholders. Ability to manage multiple projects with tight deadlines effectively with cross functional teams.

Software / Tool Skills:

• Experience with AI/ML or data intelligence platforms (e.g., Azure ML, AWS SageMaker, Google Vertex AI—basic exposure acceptable).
• Hands-on familiarity with GenAI copilots, prompt engineering concepts, or LLM-based experience analysis tools.
• Experience interpreting insights from NLP, AI-powered text analytics, or conversational AI systems.
• Hands on experience with user Feedback/Data analysis tools – Qualtrics, Fullstory, Mixpanel etc.
• Good proficiency or practical experience of A/B Testing tools.
• Agile tools such as Jira, Rally etc.
• Understanding of Contact center and CMS tools.
• Excel - Intermediate/Advanced. Proficiency in Microsoft 365
• Power BI (Highly Preferred)

XML job scraping automation by YubHub

This role operates at the intersection of digital operations, customer experience, and AI-powered transformation. You will help drive the integration of intelligent automation, predictive analytics, and GenAI capabilities into digital service channels to improve customer experiences, enhance agent efficiency, and optimize operational performance.

Key Responsibilities

• Identify and scope opportunities to utilize AI, machine learning, and automation to optimize digital experience operations and agent support processes.
• Collaborate with product owners to build AI-informed business cases, including ROI modeling for predictive experiences, intelligent routing, and automated troubleshooting.
• Manage AI-enabled dashboards and monitoring systems that surface real-time anomalies, experience dips, and emerging performance trends.
• Partner with CX, analytics, and engineering teams to run A/B tests leveraging AI-generated variants, measuring uplift and customer impact.
• Translate customer and agent insights using AI-powered analytics (e.g., text/sentiment analysis, pattern detection) into actionable recommendations for journey improvements.
• Apply GenAI capabilities to improve team operations, e.g., automated insights summaries, triaging, root cause analysis drafting, and workflow documentation.

Experience & Education Requirements

• Overall experience > 6-8 years, 4+ years’ experience required with extensive relevant customer understanding/user research/consulting experience, packaging and delivering insights to influence change. 4+ years of combined experience required in analytics, performance reporting, and/or process improvement.
• Advanced project and process management experience. Agile preferred.
• Bachelor's degree preferred in Technology, Mathematics, Statistics, Business, or related field.
• Master’s degree preferred in Management, Analytics, Artificial Intelligence.
• Experience working with AI/ML-driven platforms or analytics tools (e.g., customer behavioral modeling, NLP pipelines, predictive analytics).
• Background or coursework in AI, machine learning, data science, or human-centered AI preferred.
• Demonstrated ability to translate technical AI concepts into business language for non-technical stakeholders.
• Availability to work in PST time zone.

Other Critical Skills

• Familiarity with GenAI tools, conversational AI platforms, and AI-assisted productivity solutions.
• Ability to interpret outputs from models using techniques such as anomaly detection, clustering, and predictive scoring.
• Strong understanding of AI ethics, governance, and responsible AI frameworks.
• Comfortable working in environments where AI-driven decision automation informs prioritization and operational strategies.
• Possesses strong technical aptitude. Intermediate knowledge in using analytic tools such as Tableau and Microsoft Excel. Proficient in Microsoft Office including MS Word, Excel, Outlook, PowerPoint.
• Strong verbal communication and listening skills. Strong business acumen, with effective written and verbal communication skills.
• Ability to communicate, influence, and deliver with cross-functional teams and enterprise stakeholders. Ability to manage multiple projects with tight deadlines effectively with cross functional teams.

Software / Tool Skills

• Experience with AI/ML or data intelligence platforms (e.g., Azure ML, AWS SageMaker, Google Vertex AI—basic exposure acceptable).
• Hands-on familiarity with GenAI copilots, prompt engineering concepts, or LLM-based experience analysis tools.
• Experience interpreting insights from NLP, AI-powered text analytics, or conversational AI systems.
• Hands on experience with user Feedback/Data analysis tools – Qualtrics, Fullstory, Mixpanel etc.
• Good proficiency or practical experience of A/B Testing tools.
• Agile tools such as Jira, Rally etc.
• Understanding of Contact center and CMS tools.
• Excel - Intermediate/Advanced. Proficiency in Microsoft 365
• Power BI (Highly Preferred)

Requirements

• CX Operations
• Audit & Governance
• Data Analysis
• Insights & Predictive Analytics
• Root Cause Analysis
• Digital recommendations
• Competitive Analysis
• Personalization
• Agile framework

Benefits

• Competitive compensation and benefits package:

1. Competitive salary and performance-based bonuses
2. Comprehensive benefits package
3. Career development and training opportunities
4. Flexible work arrangements (remote and/or office-based)
5. Dynamic and inclusive work culture within a globally renowned group
6. Private Health Insurance
7. Pension Plan
8. Paid Time Off
9. Training & Development

Note: Benefits differ based on employee level.

XML job scraping automation by YubHub

As a FBS Senior Operations Analyst at Capgemini, you will play a key role in driving the integration of intelligent automation, predictive analytics, and GenAI capabilities into digital service channels to improve customer experiences, enhance agent efficiency, and optimize operational performance.

Role Description

This role operates at the intersection of digital operations, customer experience, and AI-powered transformation. You will help drive the integration of intelligent automation, predictive analytics, and GenAI capabilities into digital service channels to improve customer experiences, enhance agent efficiency, and optimize operational performance.

Key Responsibilities

• Oversee end-to-end digital service operations across customer and agent journeys, partnering with Product, Technology, and Architecture teams to ensure smooth delivery of features, fixes, and enhancements.
• Define and monitor KPIs such as experience scores, CSAT, FCR, and system uptime to track digital performance across various digital channels.
• Drive real-time customer and agent experience tracking, identify friction points, and lead UX improvement initiatives backed by data analysis and user feedback.
• Manage critical defects and high-priority escalations by coordinating with stakeholder teams to ensure rapid and accurate resolution.
• Build and maintain real-time dashboards to surface trends, generate insights, and inform leadership decisions; leverage tools such as Qualtrics, Mixpanel, and Fullstory etc.
• Use customer and partner research to strengthen analytical capabilities, identify market trends, and recommend customer experience enhancements.
• Partner with data science, analytics, and engineering teams to embed AI-driven insights into digital operations, enabling proactive issue detection and resolution.
• Apply AI-based predictive models to forecast demand, detect patterns, and inform operational and resource planning.
• Evaluate and operationalize AI copilots, GenAI assistants, and automation tools to streamline agent workflows and improve customer self-service.
• Promote responsible AI through governance, transparency, bias monitoring, explainability, and data privacy practices.
• Lead GenAI-powered experiments that include personalized content, conversational experiences, and journey-level optimizations.
• Support AI-driven journey analytics using NLP, clustering, sentiment analysis, and behavioral modeling to improve customer understanding.

Experience & Education Requirements

• Overall experience > 6-8 years, 4+ years’ experience required with extensive relevant customer understanding/user research/consulting experience, packaging and delivering insights to influence change. 4+ years of combined experience required in analytics, performance reporting, and/or process improvement.
• Advanced project and process management experience. Agile preferred.
• Bachelor's degree preferred in Technology, Mathematics, Statistics, Business, or related field.
• Master’s degree preferred in Management, Analytics, Artificial Intelligence.
• Experience working with AI/ML-driven platforms or analytics tools (e.g., customer behavioral modeling, NLP pipelines, predictive analytics).
• Background or coursework in AI, machine learning, data science, or human-centered AI preferred.
• Demonstrated ability to translate technical AI concepts into business language for non-technical stakeholders.
• Availability to work in PST time zone.

Other Critical Skills

• Familiarity with GenAI tools, conversational AI platforms, and AI-assisted productivity solutions.
• Ability to interpret outputs from models using techniques such as anomaly detection, clustering, and predictive scoring.
• Strong understanding of AI ethics, governance, and responsible AI frameworks.
• Comfortable working in environments where AI-driven decision automation informs prioritization and operational strategies.
• Possesses strong technical aptitude. Intermediate knowledge in using analytic tools such as Tableau and Microsoft Excel. Proficient in Microsoft Office including MS Word, Excel, Outlook, PowerPoint.
• Strong verbal communication and listening skills. Strong business acumen, with effective written and verbal communication skills.
• Ability to communicate, influence, and deliver with cross-functional teams and enterprise stakeholders. Ability to manage multiple projects with tight deadlines effectively with cross functional teams.

Software / Tool Skills

• Experience with AI/ML or data intelligence platforms (e.g., Azure ML, AWS SageMaker, Google Vertex AI—basic exposure acceptable).
• Hands-on familiarity with GenAI copilots, prompt engineering concepts, or LLM-based experience analysis tools.
• Experience interpreting insights from NLP, AI-powered text analytics, or conversational AI systems.
• Hands on experience with user Feedback/Data analysis tools – Qualtrics, Fullstory, Mixpanel etc.
• Good proficiency or practical experience of A/B Testing tools.
• Agile tools such as Jira, Rally etc.
• Understanding of Contact center and CMS tools.
• Excel - Intermediate/Advanced. Proficiency in Microsoft 365
• Power BI (Highly Preferred)

Requirements

• Optimization Testing (A/B Testing)
• Multivariate testing
• Personalization
• Digital Workflow optimization
• Stakeholder collaboration

Benefits

• Competitive compensation and benefits package:

1. Competitive salary and performance-based bonuses
2. Comprehensive benefits package
3. Career development and training opportunities
4. Flexible work arrangements (remote and/or office-based)
5. Dynamic and inclusive work culture within a globally renowned group
6. Private Health Insurance
7. Pension Plan
8. Paid Time Off
9. Training & Development

Note: Benefits differ based on employee level.

XML job scraping automation by YubHub

You will work hands-on on the design, build, and operationalisation of modern data and analytics solutions. You will contribute across the full lifecycle – from data ingestion and transformation to analytics, machine learning, and production deployment. You will collaborate closely with data engineers, architects, data scientists, and business stakeholders to deliver scalable, reliable, and value-driven data solutions in complex client environments.

Responsibilities

• Apply data science and machine learning techniques to real-world business problems
• Work with structured and semi-structured data in data lakes, lakehouses, and data warehouses
• Develop and optimise data transformations for analytical and machine learning workloads
• Support the productionisation of data and ML solutions, including monitoring and optimisation

Requirements

• 3–5 years of experience in data engineering, data science, or analytics
• Hands-on experience delivering data and analytics solutions in project-based or client environments
• Strong problem-solving skills and a pragmatic, delivery-oriented mindset

Data Engineering Foundations

• Experience building end-to-end data pipelines (ingestion, transformation, storage)
• Solid understanding of data modelling, data transformations, and feature engineering
• Familiarity with cloud-based data platforms, such as Azure, AWS, or GCP

Applied Data Science & Analytics

• Experience applying statistical analysis and machine learning techniques
• Strong programming skills in Python
• Very good SQL skills and experience working with relational databases

Nice to have

• Experience with streaming technologies (e.g. Kafka, Azure Event Hubs)
• Exposure to GenAI, NLP, time series, or advanced analytics use cases
• Experience with NoSQL databases (e.g. MongoDB, Cosmos DB)

Language & Mobility

• Very good English skills
• Willingness to travel for project-related work

Benefits

Join our growing Data & Analytics practice and make a difference. In this practice you will be utilizing the most innovative technological solutions in modern data ecosystem. In this role you’ll be able to see your own ideas transform into breakthrough results in the areas of Data & Analytics strategy, Data Management & Governance, Data Platforms & Engineering, Analytics & Data Science.

XML job scraping automation by YubHub

Our dynamic organisation allows you to work across topics and bring in your ideas, experiences, creativity, and goal orientation. Are you ready?

As a Consultant/Senior Consultant in the Data Engineering & Data Science field, you will work hands-on on the conception, development, and implementation of modern data and analytics solutions. You will support the entire project lifecycle - from data intake and transformation to analytics and machine learning to productive operation.

You will work closely with data engineers, architects, data scientists, and subject matter experts to implement scalable, reliable, and value-adding solutions in complex customer environments.

Your Tasks

• Apply data science methods (machine learning, deep learning, GenAI) to solve concrete business questions
• Work with structured and semi-structured data in data lakes, lakehouses, and data warehouses
• Set up data pipelines for analytical workloads
• Support the productive implementation of data and ML solutions, including monitoring and optimisation

What You Bring - Required

• At least 3 years of relevant professional experience in the field of data engineering, data science, or analytics
• Hands-on experience in implementing data and analytics solutions in (customer) projects
• Strong problem-solving skills and a pragmatic, implementation-oriented way of working

Data Engineering Fundamentals

• Experience in setting up data pipelines (ingestion, transformation, storage)
• Solid understanding of data modeling, data transformations, and feature engineering
• Experience with cloud-based data platforms, such as:

1. Azure, AWS, or GCP
2. Databricks, Snowflake, BigQuery, Azure Synapse/Microsoft Fabric

• Knowledge of CI/CD concepts and production-ready deployments

Applied Data Science & Analytics

• Experience in applying GenAI, deep learning, and machine learning procedures as well as statistical analyses
• Very good programming skills in Python
• Very good SQL skills and experience with relational databases
• Experience in deploying and productively using ML models
• Ability to translate analytical results into business-relevant insights
• Bachelor's or master's degree in computer science, engineering, mathematics, or a related field, or equivalent practical experience

Nice to Have

• Experience with:

1. Streaming technologies (e.g. Kafka, Azure Event Hubs)
2. Time series analysis, NLP applications, or system modeling
3. NoSQL databases (e.g. MongoDB, Cosmos DB)
4. Docker and Kubernetes
5. Data visualization tools like Power BI, Tableau
6. Cloud or architecture certifications

Language & Mobility (Germany)

• Fluent German skills (at least C1) for customer communication in the German-speaking market
• Very good English skills
• Project-related travel readiness

Your Team

You will become part of our growing Data & Analytics teams. In this area, you will work with modern technologies in modern data ecosystems. You have the opportunity to turn your own ideas into results - in the areas of Data & Analytics Strategy, Data Management & Governance, Data Platforms & Engineering, and Analytics & Data Science.

About Infosys Consulting

You will become an employee of a globally renowned management consulting firm at the forefront of technological innovation and industrial transformation. We work across industries with leading companies. Our culture is inclusive and entrepreneurial. As a mid-sized consulting firm embedded in the size of Infosys, we can support our customers worldwide and throughout the entire transformation process in a partnership-like manner.

Our values IC-LIFE - Inclusion, Equity & Diversity, Client, Leadership, Integrity, Fairness, and Excellence - form our compass of values. Further information can be found on our career website.

In Europe, we are awarded by the Financial Times and Forbes as one of the leading consulting firms. Infosys is ranked among the top employers in Germany 2023 and has been certified by the Top Employers Institute for outstanding working conditions in Europe for five consecutive years.

We offer a market-leading salary, attractive additional benefits, and excellent opportunities for further education and development. Have you become curious? Then we look forward to your application - apply now!

XML job scraping automation by YubHub

We are looking for experienced leaders and senior managers who can join our growing team. You will bring together AI & Data advisory expertise, commercial acumen and delivery excellence to shape, sell and deliver programmes that create value for our clients using AI & data

The ideal candidate will understand how ML, GenAI, Agentic AI and data can create value for clients across a range of industries. Ideally you have a depth of knowledge in one industry of functional domain but have the versatility to translate that to other domains and industries.

Key Responsibilities

• Take a leading role in end-to-end deal pursuits and during the sales cycle to understand clients’ needs and shape solutions that will deliver value for them
• Build relationships of trust with client stakeholders to identify opportunities for AI-enabled business transformation
• Collaborate within the Infosys organisation to bring the best of Infosys together for the client
• Contribute to thought leadership and be an external advocate on behalf of Infosys Consulting
• Fully responsibility for programme delivery including leading distributed teams and offshore delivery
• Build and nurture partnerships across the Data & AI technology ecosystem
• Share expertise and learning generously within the team to upskill colleagues
• Continually strengthen and grow the team through hiring and development
• Act as a role model, authentic leader and collaborative team player

Requirements

• Essential Skills:
• 10+ year of experience in relevant data, analytics & AI fields
• High level of personal credibility with clients and colleagues in the business application of AI and data
• A hands-on leader, ready to lead by example with a focus on execution and progress
• Proven experience in leading AI and data projects
• Experience leading distributed technical teams
• Thorough understanding of how AI, machine learning, deep learning can leverage enterprise data to deliver value
• Strong executive presence and influencing skills with the ability to engage credibly with C-suite stakeholders and shape the conversation
• Broad leadership skills including commercial acumen, business case development and personal resilience.
• A relentless drive for quality and attention to detail
• Excellent interpersonal skills and strong written and verbal communication skills
• Degree in a quantitative field

Preferred Skills:

• Expertise in an industry: especially financial services, manufacturing or telecommunications
• Expertise in a functional domain: especially customer service, marketing, sales or IT operations
• A second major European language at C2 level is an advantage
• Domain expertise within Data & AI: data science, GenAI engineering, data strategy, data governance
• Knowledge of a partner platform: agentic workflows, hyperscaler AI platform, data platform
• MSc with PhD a plus

Personal attributes

• Analytical, pragmatic problem-solver; outcome-oriented.
• Self-directed, able to prioritise and juggle multiple workstreams.
• Clear communicator who can simplify complexity.
• Collaborative, curious, continuous learner.

_Given that this is just a short snapshot of the role we encourage you to apply even if you don't meet all the requirements listed above. We are looking for individuals who strive to make an impact and are eager to learn. If this sounds like you and you feel you have the skills and experience required, then please apply now.

XML job scraping automation by YubHub

We are seeking a highly skilled and experienced HCM Cloud Transformation Consultant to join a dynamic programme team driving a large-scale Human Capital Management (HCM) cloud transformation initiative.

In this role, you will be part of a team focusing on HCM innovation and NextGen AI powered Hire to Retire Solutions in pursuit of enabling world-class workforce operations and experiences. You will guide our clients through HR Transformation, process redesign and change leveraging HR technology to create an impact on business outcomes.

More specifically, the responsibilities of this role include the following areas of expertise:

• End-to-end delivery of HCM cloud transformation projects

• Collaboration with stakeholders across the business functions to define requirements and ensure alignment with strategic goals

• Providing expert guidance on HCM cloud capabilities, configuration, and best practices

• Driving continuous improvement and innovation in HR processes through both reimagined design experience as well as latest technology

• Managed large cloud HCM Transformation for global and complex organisations across multiple country and multiple module rollouts

• HR IT Landscape Design; HR Cloud Vendor Selection; HR Cloud Readiness Assessment; HR Cloud Operations & Support Model Design

• Deliver HR TOM and experience-driven HR Process Design including AI Accelerators as part of our HR Cloud implementations (AI in HR Strategy & Use Case Design)

• Provide HR Cloud-based Workforce Transformation Advisory from Talent Marketplace solutioning via skill-based organization towards Learning Agility, Upskilling and Reskilling initiatives

• Facilitate HR workshops and craft insightful presentations, providing actionable recommendations

• Contribute to practice development and pre-sales activities to further develop our service offerings, proposals and go-to-market initiatives

• Lead teams, fostering an environment of continuous learning and growth

We are looking for a professional with robust consulting background or business and/or corporate experience in HR (IT) Transformation, HR Cloud Advisory and Hire-to-Retire HXM Technologies gained in in-house role, preferably in large-scale international environments. The ideal candidate should be able to demonstrate experience and knowledge in at least one of the following areas:

• Have a broad business skill set including stakeholder management, problem-solving, and resilience
• Have experience in gathering, validating, synthesizing, documenting, and communicating data and information for a range of audiences
• Have excellent interpersonal skills and strong written and verbal communication skills in country’s official language(s) (C2 proficiency) and English (C2 proficiency), project-related mobility/willingness to travel
• Domain expertise in HR employee lifecycle H2R, including HR process design, creation of formal process documentation and detailed process maps
• Translation of employee experience needs into business requirements to drive digital and AI-empowered HR platforms deployment
• Knowledge and experience in implementing Oracle HCM Cloud as well as HR Ticketing / Workflow Management Tools (e.g. ServiceNow HRSD, Salesforce)
• Managing vendor relationships and technology selection processes
• In-depth knowledge and ability to design and optimize HR Operating Models
• Ability for conducting HR & HR IT workshops and subsequently creating recommendation reports, thought leadership and transformation roadmaps
• Strong facilitation, communication, and problem-solving abilities
• Ability to lead project teams and mentor junior consultants
• Demonstrable experience in developing proposals and offerings, either for internal or external clients
• Contribution to practice development, including go-to-market strategies and developing others

To qualify for the role, you must have:

• Proven track record in delivering HCM cloud transformation programmes (minimum 5-6 years for senior consultants and 8-10 years for Principals)

• Strong understanding of digital transformation principles and best practices

• In-depth understanding of Oracle Cloud HCM

• HR Product- and HR Cloud Module based knowledge in areas such as Core HR, Performance Management, Talent Development, Succession Planning, Recruiting & Onboarding, Learning Management, Job Architecture Design & Skills Management, People Analytics, Time & Attendance, Total Rewards & Payroll etc.

• Excellent stakeholder management and communication skills

• Experience in agile and waterfall delivery methodologies

• Relevant certifications in HCM platforms (preferred)

• In-depth understanding of H2R cycle

• HR Cloud module-related knowledge & certifications

• Practical knowledge of AI, GenAI and automation tools transforming HR processes

• Expertise in managing complex and multi-regional projects

Given that this is just a short snapshot of the role we encourage you to apply even if you don't meet all the requirements listed above. We are looking for team members who strive to make an impact and are eager to learn. If this sounds like you and you feel you have the skills and experience required, then please apply now.

XML job scraping automation by YubHub

We are looking for experienced leaders and senior managers who can join our growing team. You will bring together AI & Data advisory expertise, commercial acumen and delivery excellence to shape, sell and deliver programmes that create value for our clients using AI & data

The ideal candidate will understand how ML, GenAI, Agentic AI and data can create value for clients across a range of industries. Ideally you have a depth of knowledge in one industry of functional domain but have the versatility to translate that to other domains and industries.

Key Responsibilities

• Take a leading role in end-to-end deal pursuits and during the sales cycle to understand clients’ needs and shape solutions that will deliver value for them
• Build relationships of trust with client stakeholders to identify opportunities for AI-enabled business transformation
• Collaborate within the Infosys organisation to bring the best of Infosys together for the client
• Contribute to thought leadership and be an external advocate on behalf of Infosys Consulting
• Fully responsibility for programme delivery including leading distributed teams and offshore delivery
• Build and nurture partnerships across the Data & AI technology ecosystem
• Share expertise and learning generously within the team to upskill colleagues
• Continually strengthen and grow the team through hiring and development
• Act as a role model, authentic leader and collaborative team player

Skills and Qualifications:

Essential Skills:

• 10+ year of experience in relevant data, analytics & AI fields
• High level of personal credibility with clients and colleagues in the business application of AI and data
• A hands-on leader, ready to lead by example with a focus on execution and progress
• Proven experience in leading AI and data projects
• Experience leading distributed technical teams
• Thorough understanding of how AI, machine learning, deep learning can leverage enterprise data to deliver value
• Strong executive presence and influencing skills with the ability to engage credibly with C-suite stakeholders and shape the conversation
• Broad leadership skills including commercial acumen, business case development and personal resilience.
• A relentless drive for quality and attention to detail
• Excellent interpersonal skills and strong written and verbal communication skills (English & a second major European language at C2 level)
• Degree in a quantitative field

Preferred Skills:

• Expertise in an industry: especially financial services, manufacturing or telecommunications
• Expertise in a functional domain: especially customer service, marketing, sales or IT operations
• Domain expertise within Data & AI: data science, GenAI engineering, data strategy, data governance
• Knowledge of a partner platform: agentic workflows, hyperscaler AI platform, data platform
• MSc with PhD a plus

Personal attributes

• Analytical, pragmatic problem-solver; outcome-oriented.
• Self-directed, able to prioritise and juggle multiple workstreams.
• Clear communicator who can simplify complexity.
• Collaborative, curious, continuous learner.

_Given that this is just a short snapshot of the role we encourage you to apply even if you don't meet all the requirements listed above. We are looking for individuals who strive to make an impact and are eager to learn. If this sounds like you and you feel you have the skills and experience required, then please apply now._

XML job scraping automation by YubHub

You will act as a senior technical leader in complex data and analytics engagements, shaping and governing end-to-end enterprise data architectures, leading technical teams, and serving as a trusted technical advisor for clients and internal stakeholders.

About Your Role

As a Principal Data Architecture Consultant, you will be responsible for ensuring that enterprise data and analytics solutions are scalable, secure, and production-ready, while translating business requirements into robust technical designs and delivery roadmaps.

Your Role Will Include:

• Define and govern target enterprise data, integration and analytics architectures across cloud and hybrid environments
• Translate business objectives into scalable, secure, and compliant data solutions
• Lead the design of end-to-end data solutions (ingestion, integration, storage, security, processing, analytics, AI enablement)
• Guide delivery teams through implementation, rollout, and production readiness
• Function as senior technical counterpart for client architects, IT leads, and engineering teams
• Mentor data architects, system architects and engineers and contribute to best practices and reference architectures
• Support pre-sales and solution design activities from a technical perspective

Requirements

• 5–8+ years of experience in enterprise data architecture, system data integration, data engineering, or analytics
• Proven experience leading enterprise data architecture workstreams or technical teams
• Strong client-facing experience in complex enterprise environments

Core Data & Analytics Technology Skills

• Strong expertise in modern data architectures, including:
• Data Mesh/ Data Fabric/ Data lake / data warehouse architectures
• Modern Data Architecture design principles
• Batch and streaming data integration patterns
• Data Platform, DevOps, deployment and security architectures
• Analytics and AI enablement architectures
• Hands-on experience with cloud data platforms, e.g.:
• Azure, AWS or GCP
• Databricks, Snowflake, BigQuery, Azure Synapse / Microsoft Fabric
• Strong SQL skills and experience with relational databases (e.g. Postgres, SQL Server, Oracle)
• Experience with NoSQL databases (e.g. Cosmos DB, MongoDB, InfluxDB)
• Solid understanding of API-based and event-driven architectures
• Experience designing and governing enterprise data migration programmes, including mapping, transformation rules, data quality remediation etc.

Engineering & Platform Foundations

• Experience with data pipelines, orchestration, and automation
• Familiarity with CI/CD concepts and production-grade deployments
• Understanding of distributed systems; Docker / Kubernetes is a plus

Data Management & Governance

• Strong understanding of data management and governance principles, including:
• Data quality, metadata, lineage, master data management
• Data Management software and tools
• Security, access control, and compliance considerations
• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field or equivalent practical experience

Nice to Have

• Exposure to advanced analytics, AI / ML or GenAI from an architectural perspective
• Experience with streaming platforms (e.g. Kafka, Azure Event Hubs)
• Hands-on Experience with data governance or metadata tools
• Cloud, data, or architecture certifications

Language & Mobility

• Very good English skills
• Willingness to travel for project-related work

Benefits

Join our growing Data & Analytics practice and make a difference. In this practice you will be utilizing the most innovative technological solutions in modern data ecosystem. In this role you’ll be able to see your own ideas transform into breakthrough results in the areas of Data & Analytics Strategy, Data Management & Governance, Data Platforms & Engineering, Analytics & Data Science.

About Infosys Consulting

Be part of a globally renowned management consulting firm on the front-line of industry disruption and at the cutting edge of technology. We work with market leading brands across sectors. Our culture is inclusive and entrepreneurial. Being a mid-size consultancy within the scale of Infosys gives us the global reach to partner with our clients throughout their transformation journey.

Our core values, IC-LIFE, form a common code that helps us move forward. IC-LIFE stands for Inclusion, Equity and Diversity, Client, Leadership, Integrity, Fairness, and Excellence. To learn more about Infosys Consulting and our values, please visit our careers page.

Within Europe, we are recognized as one of the UK’s top firms by the Financial Times and Forbes due to our client innovations, our cultural diversity and dedicated training and career paths. Infosys is on the Germany’s top employers list for 2023. Management Consulting Magazine named us on their list of Best Firms to Work for. Furthermore, Infosys has been recognized by the Top Employers Institute, a global certification company, for its exceptional standards in employee conditions across Europe for five years in a row.

We offer industry-leading compensation and benefits, along with top training and development opportunities so that you can grow your career and achieve your personal ambitions. Curious to learn more? We’d love to hear from you.... Apply today!

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You will work hands-on on the design, build, and operationalisation of modern data and analytics solutions. You will contribute across the full lifecycle – from data ingestion and transformation to analytics, machine learning, and production deployment. You will collaborate closely with data engineers, architects, data scientists, and business stakeholders to deliver scalable, reliable, and value-driven data solutions in complex client environments.

Your role will include:

• Applying data science and machine learning techniques to real-world business problems
• Working with structured and semi-structured data in data lakes, lakehouses, and data warehouses
• Developing and optimising data transformations for analytical and machine learning workloads
• Supporting the productionisation of data and ML solutions, including monitoring and optimisation

Requirements

• 3–5 years of experience in data engineering, data science, or analytics
• Hands-on experience delivering data and analytics solutions in project-based or client environments
• Strong problem-solving skills and a pragmatic, delivery-oriented mindset

Data Engineering Foundations

• Experience building end-to-end data pipelines (ingestion, transformation, storage)
• Solid understanding of data modelling, data transformations, and feature engineering
• Familiarity with cloud-based data platforms, such as Azure, AWS, or GCP
• Understanding of CI/CD concepts and production-grade deployments

Applied Data Science & Analytics

• Experience applying statistical analysis and machine learning techniques
• Strong programming skills in Python
• Very good SQL skills and experience working with relational databases
• Experience deploying or supporting ML models in production environments
• Ability to translate analytical results into business-relevant insights
• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field or equivalent practical experience

Nice to have

• Experience with streaming technologies (e.g. Kafka, Azure Event Hubs)
• Exposure to GenAI, NLP, time series, or advanced analytics use cases
• Experience with NoSQL databases (e.g. MongoDB, Cosmos DB)
• Familiarity with Docker and Kubernetes
• Experience with data visualisation tools (e.g. Power BI, Tableau)
• Cloud or data-related certifications

Language & Mobility

• Very good English skills
• Willingness to travel for project-related work

Benefits

Join our growing Data & Analytics practice and make a difference. In this practice you will be utilizing the most innovative technological solutions in modern data ecosystem. In this role you’ll be able to see your own ideas transform into breakthrough results in the areas of Data & Analytics strategy, Data Management & Governance, Data Platforms & Engineering, Analytics & Data Science.

About Infosys Consulting

Be part of a globally renowned management consulting firm on the front-line of industry disruption and at the cutting edge of technology. We work with market leading brands across sectors. Our culture is inclusive and entrepreneurial. Being a mid-size consultancy within the scale of Infosys gives us the global reach to partner with our clients throughout their transformation journey.

Our core values, IC-LIFE, form a common code that helps us move forward. IC-LIFE stands for Inclusion, Equity and Diversity, Client, Leadership, Integrity, Fairness, and Excellence. To learn more about Infosys Consulting and our values, please visit our careers page.

Within Europe, we are recognized as one of the UK’s top firms by the Financial Times and Forbes due to our client innovations, our cultural diversity and dedicated training and career paths. Infosys is on the Germany’s top employers list for 2023. Management Consulting Magazine named us on their list of Best Firms to Work for. Furthermore, Infosys has been recognized by the Top Employers Institute, a global certification company, for its exceptional standards in employee conditions across Europe for five years in a row.

We offer industry-leading compensation and benefits, along with top training and development opportunities so that you can grow your career and achieve your personal ambitions. Curious to learn more? We’d love to hear from you.... Apply today!

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We are seeking a highly skilled and experienced HCM Cloud Transformation Consultant to join a dynamic programme team driving a large-scale Human Capital Management (HCM) cloud transformation initiative. In this role, you will be part of a team focusing on HCM innovation and NextGen AI powered Hire to Retire Solutions in pursuit of enabling world-class workforce operations and experiences. You will guide our clients through HR Transformation, process redesign and change leveraging HR technology to create an impact on business outcomes.

More specifically, the responsibilities of this role include:

• End-to-end delivery of HCM cloud transformation projects

• Collaboration with stakeholders across the business functions to define requirements and ensure alignment with strategic goals

• Providing expert guidance on HCM cloud capabilities, configuration, and best practices

• Driving continuous improvement and innovation in HR processes through both reimagined design experience as well as latest technology

• Managed large cloud HCM Transformation for global and complex organisations across multiple country and multiple module rollouts

• HR IT Landscape Design; HR Cloud Vendor Selection; HR Cloud Readiness Assessment; HR Cloud Operations & Support Model Design

• Deliver HR TOM and experience-driven HR Process Design including AI Accelerators as part of our HR Cloud implementations (AI in HR Strategy & Use Case Design)

• Provide HR Cloud-based Workforce Transformation Advisory from Talent Marketplace solutioning via skill-based organization towards Learning Agility, Upskilling and Reskilling initiatives.

• Facilitate HR workshops and craft insightful presentations, providing actionable recommendations.

• Contribute to practice development and pre-sales activities to further develop our service offerings, proposals and go-to-market initiatives.

• Lead teams, fostering an environment of continuous learning and growth.

We are looking for a professional with robust consulting background or business and/or corporate experience in HR (IT) Transformation, HR Cloud Advisory and Hire-to-Retire HXM Technologies gained in in-house role, preferably in large-scale international environments. The ideal candidate should be able to demonstrate experience and knowledge in at least one of the following areas:

• Have a broad business skill set including stakeholder management, problem-solving, and resilience
• Have experience in gathering, validating, synthesizing, documenting, and communicating data and information for a range of audiences
• Be experienced in stakeholder management, executive-level facilitation and leading transformation / change initiatives.
• Have deep understanding of core consulting capabilities (eg. delivery excellence, pre-sales/proposal shaping, and coaching junior teams
• Have excellent interpersonal skills and strong written and verbal communication skills in country’s official language(s) (C2 proficiency) and English (C2 proficiency), project-related mobility/willingness to travel
• Domain expertise in HR employee lifecycle H2R, including HR process design, creation of formal process documentation and detailed process maps.
• Translation of employee experience needs into business requirements to drive digital and AI-empowered HR platforms deployment
• Knowledge and experience in implementing Oracle HCM Cloud as well as HR Ticketing / Workflow Management Tools (e.g. ServiceNow HRSD, Salesforce).
• Managing vendor relationships and technology selection processes.
• In-depth knowledge and ability to design and optimize HR Operating Models
• Ability for conducting HR & HR IT workshops and subsequently creating recommendation reports, thought leadership and transformation roadmaps.
• Strong facilitation, communication, and problem-solving abilities.
• Ability to lead project teams and mentor junior consultants.
• Demonstrable experience in developing proposals and offerings, either for internal or external clients.
• Contribution to practice development, including go-to-market strategies and developing others.

To qualify for the role, you must have:

• Proven track record in delivering HCM cloud transformation programmes (minimum 5-6 years for senior consultants and 8-10 years for Principals).

• Strong understanding of digital transformation principles and best practices.

• Experience with key HCM platforms such as Oracle cloud HCM, Workday, SuccessFactors, ServiceNow HRSD, and knowledge of latest HR tech trends.

• Understanding of NextGen HR, AI/GenAI in HR, skills intelligence, and future workforce design

• HR Product- and HR Cloud Module based knowledge in areas such as Core HR, Performance Management, Talent Development, Succession Planning, Recruiting & Onboarding, Learning Management, Job Architecture Design & Skills Management, People Analytics, Time & Attendance, Total Rewards & Payroll etc.

• Excellent stakeholder management and communication skills.

• Experience in agile and waterfall delivery methodologies.

• Relevant certifications in HCM platforms (preferred)

• In-depth understanding of H2R cycle

• HR Cloud module-related knowledge & certifications

• Practical knowledge of AI, GenAI and automation tools transforming HR processes.

• Expertise in managing complex and multi-regional projects.

Given that this is just a short snapshot of the role we encourage you to apply even if you don't meet all the requirements listed above. We are looking for team members who strive to make an impact and are eager to learn. If this sounds like you and you feel you have the skills and experience required, then please apply now.

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You will be part of an entrepreneurial, high-growth environment of 300,000 employees. Our dynamic organization allows you to work across functional business pillars, contributing your ideas, experiences, diverse thinking, and a strong mindset.

About Your Role

As a Principal Data Architecture Consultant, you will act as a senior technical leader in complex data and analytics engagements. You will shape and govern end-to-end enterprise data architectures, lead technical teams, and serve as a trusted technical advisor for clients and internal stakeholders.

Your Role Will Include:

• Define and govern target enterprise data, integration and analytics architectures across cloud and hybrid environments
• Translate business objectives into scalable, secure, and compliant data solutions
• Lead the design of end-to-end data solutions (ingestion, integration, storage, security, processing, analytics, AI enablement)
• Guide delivery teams through implementation, rollout, and production readiness
• Function as senior technical counterpart for client architects, IT leads, and engineering teams
• Mentor data architects, system architects and engineers and contribute to best practices and reference architectures
• Support pre-sales and solution design activities from a technical perspective

Requirements

• 5–8+ years of experience in enterprise data architecture, system data integration, data engineering, or analytics
• Proven experience leading enterprise data architecture workstreams or technical teams
• Strong client-facing experience in complex enterprise environments

Core Data & Analytics Technology Skills

• Strong expertise in modern data architectures, including:
• Data Mesh/ Data Fabric/ Data lake / data warehouse architectures
• Modern Data Architecture design principles
• Batch and streaming data integration patterns
• Data Platform, DevOps, deployment and security architectures
• Analytics and AI enablement architectures
• Hands-on experience with cloud data platforms, e.g.:
• Azure, AWS or GCP
• Databricks, Snowflake, BigQuery, Azure Synapse / Microsoft Fabric
• Strong SQL skills and experience with relational databases (e.g. Postgres, SQL Server, Oracle)
• Experience with NoSQL databases (e.g. Cosmos DB, MongoDB, InfluxDB)
• Solid understanding of API-based and event-driven architectures
• Experience designing and governing enterprise data migration programmes, including mapping, transformation rules, data quality remediation etc.

Engineering & Platform Foundations

• Experience with data pipelines, orchestration, and automation
• Familiarity with CI/CD concepts and production-grade deployments
• Understanding of distributed systems; Docker / Kubernetes is a plus

Data Management & Governance

• Strong understanding of data management and governance principles, including:
• Data quality, metadata, lineage, master data management
• Data Management software and tools
• Security, access control, and compliance considerations
• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field or equivalent practical experience

Nice to Have

• Exposure to advanced analytics, AI / ML or GenAI from an architectural perspective
• Experience with streaming platforms (e.g. Kafka, Azure Event Hubs)
• Hands-on Experience with data governance or metadata tools
• Cloud, data, or architecture certifications

Language & Mobility

• Very good English skills
• Willingness to travel for project-related work

Benefits

You will be utilizing the most innovative technological solutions in modern data ecosystem. In this role you’ll be able to see your own ideas transform into breakthrough results in the areas of Data & Analytics Strategy, Data Management & Governance, Data Platforms & Engineering, Analytics & Data Science.

About Infosys Consulting

Be part of a globally renowned management consulting firm on the front-line of industry disruption and at the cutting edge of technology. We work with market leading brands across sectors. Our culture is inclusive and entrepreneurial. Being a mid-size consultancy within the scale of Infosys gives us the global reach to partner with our clients throughout their transformation journey.

Our core values, IC-LIFE, form a common code that helps us move forward. IC-LIFE stands for Inclusion, Equity and Diversity, Client, Leadership, Integrity, Fairness, and Excellence. To learn more about Infosys Consulting and our values, please visit our careers page.

Within Europe, we are recognized as one of the UK’s top firms by the Financial Times and Forbes due to our client innovations, our cultural diversity and dedicated training and career paths. Infosys is on the Germany’s top employers list for 2023. Management Consulting Magazine named us on their list of Best Firms to Work for. Furthermore, Infosys has been recognized by the Top Employers Institute, a global certification company, for its exceptional standards in employee conditions across Europe for five years in a row.

We offer industry-leading compensation and benefits, along with top training and development opportunities so that you can grow your career and achieve your personal ambitions. Curious to learn more? We’d love to hear from you.... Apply today!

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We are seeking a highly skilled program manager to join our team as a Technical Program Management (AI Governance), Principal. As a principal program manager, you will be responsible for driving portfolio-level prioritization and delivery of Gen/Agentic AI initiatives, ensuring focus on highest-value outcomes.

What You'll Be Doing:

• Drive portfolio-level prioritization and delivery of Gen/Agentic AI initiatives, ensuring focus on highest-value outcomes.
• Ensure alignment between program execution and organizational goals, maximizing business value from AI investments.
• Contribute strongly towards cross-functional AI governance and decision forums that balance innovation velocity with enterprise risk and compliance.
• Shape the future of the Gen/Agentic AI solutions, influencing the direction of AI governance, risk management, and compliance efforts.
• Enhance cross-functional collaboration and knowledge sharing, breaking down silos to accelerate innovation.
• Build scalable governance frameworks and operationalize industry standards to ensure compliance and quality throughout the AI lifecycle.
• Empower business units to confidently adopt GenAI technologies, driving enterprise-wide transformation and agility.
• Collaborate closely with stakeholders to define program objectives, scope, and deliverables that align with strategic business goals.
• Develop, maintain, and optimize comprehensive program plans, resource allocation, and risk mitigation strategies.
• Monitor program progress, identify potential roadblocks, and implement proactive solutions to keep projects on track.
• Provide strategic guidance and support to project teams, acting as a mentor and thought leader in AI program delivery.
• Foster a culture of continuous improvement within the PMO function, incorporating best practices and lessons learned.
• Stay current with industry trends, regulatory developments, and advancements in AI to enhance program delivery and governance.
• Drive the successful delivery of GenAI offerings and strategic initiatives, positioning Synopsys as a leader in enterprise AI adoption.

What You'll Need:

• Bachelor's or Master's degree in Computer Science, Data Science, or a related discipline.
• Proven experience as a Program Manager, leading complex projects in the software or high-tech industry and leadingend-to-end evaluation of new model/app/tool requests (including third-party solutions), coordinating risk reviews across IP, privacy, security, and legal/compliance.
• Robust understanding of Generative AI (GenAI), Large Language Models (LLMs), Agentic AI, Responsible AI, and AI Governance, and are adept at embedding responsible practices, such as fairness, transparency, privacy, and accountability—into every stage of program delivery.
• Awareness of industry standards such as the NIST AI Risk Management Framework and EU AI Act-style Quality Management Systems, and ability to operationalize them effectively within large organizations.
• Hands-on experience with portfolio management tools (e.g., Jira, Azure DevOps), intake workflow systems, and knowledge bases (e.g., SharePoint, Confluence).
• Ability to drive Scalable, auditable AI governance mechanisms adopted across multiple business units.
• Reduced friction and cycle time for AI model/app approvals without increasing risk
• Measurable enterprise adoption and business value from GenAI deployments

Who You Are:

• Strategic thinker with strong analytical and problem-solving skills.
• Excellent communicator, able to convey complex ideas clearly to technical and non-technical stakeholders.
• Adaptable and resilient in the face of change, with a continuous improvement mindset.
• Collaborative, inclusive, and able to build strong relationships across diverse teams and geographies.
• Comfortable operating in areas of ambiguity where policy, technology, and business objectives intersect.
• Able to manage multiple priorities in a dynamic environment

The Team You'll Be A Part Of:

You will be part of GenAI Center of Excellence, a team that is passionate about driving innovation and advancing our AI Platform & Solutions. This role reports to Head of AI Program Management & Chief of Staff, GenAI Center of Excellence. We are a close-knit, collaborative group that values open communication and continuous learning. We collaborate closely with engineering, product, compliance, and executive teams to deliver impactful results and shape the company’s AI strategy.

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

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We are seeking an experienced AI/GenAI engineer to join our team at Synopsys. As a Principal AI/GenAI Engineer, you will design, develop, and deploy GenAI Agentic and machine learning models, algorithms, and systems to tackle complex business challenges.

What You'll Be Doing:

• Design, develop, and deploy GenAI Agentic and machine learning models, algorithms, and systems to tackle complex business challenges.
• Provide technical leadership and mentorship, supporting junior engineers and data scientists in best practices and advanced techniques.
• Stay abreast of the latest AI, Agentic AI, and machine learning advancements, applying them to enhance existing systems or develop innovative solutions.
• Collaborate with program and product managers, software engineers, and stakeholders to define requirements and create technical specifications for AI solutions.
• Conduct data analysis, preprocessing, and feature engineering to prepare datasets for machine learning models.
• Train, validate, and fine-tune machine learning models to meet performance and accuracy benchmarks.
• Deploy AI models into production environments, monitoring and optimizing their performance.
• Document models, algorithms, and methodologies to ensure reproducibility and facilitate knowledge sharing.
• Ensure all AI solutions comply with ethical guidelines, data privacy regulations, and industry standards.

The Impact You Will Have:

• Accelerate innovation in AI-driven products and solutions, directly influencing Synopsys' technological leadership.
• Enhance operational efficiency and decision-making through intelligent automation and data-driven insights.
• Drive adoption of Agentic AI systems, enabling transformative business outcomes across multiple domains.
• Mentor and elevate the technical capabilities of the engineering and data science teams, fostering a culture of excellence.
• Champion ethical AI practices, ensuring responsible development and deployment of cutting-edge technologies.
• Support cross-functional collaboration, bridging the gap between technical and business teams for successful project delivery.
• Contribute to the advancement of semiconductor IPs and EDA tool integration with AI, expanding Synopsys' product portfolio.

What You'll Need:

• Ph.D. or Master’s degree in Computer Science, Data Science, Electrical Engineering, or a related field.
• Minimum 8 years of experience in software engineering, machine learning, and GenAI, with a proven track record in production deployments.
• Strong proficiency in Python; familiarity with backend and distributed systems, message queues, and orchestration technologies is a plus.
• Expertise in data structures, algorithms, and design patterns for scalable AI solutions.
• Extensive experience with machine learning and Agentic frameworks (e.g., TensorFlow, PyTorch, LangChain/LangGraph, AutoGen) and LLM models.
• Strong grasp of statistical analysis, data mining, and data visualization techniques.
• Knowledge of cloud platforms, containerization (Kubernetes, Docker), and version control systems (Git, P4).
• Familiarity with Agile, Kanban, or Scrum methodologies.
• Understanding or experience with semiconductor IPs and EDA tools is highly desirable.

Who You Are:

• Exceptional problem-solving and analytical abilities, with a strategic mindset.
• Strong communication and interpersonal skills to engage diverse audiences.
• Ability to work independently and collaboratively within multidisciplinary teams.
• Demonstrated leadership and mentorship capabilities.
• Adaptable, proactive, and eager to continuously learn and innovate.

The Team You’ll Be A Part Of:

You will join a dynamic, collaborative group of professionals dedicated to advancing AI and GenAI solutions for diverse projects. The team values innovation, knowledge sharing, and continuous improvement, working closely with product managers, engineers, and stakeholders to deliver impactful AI-powered systems. You will play a key role in mentoring, technical leadership, and driving the evolution of Synopsys’ AI initiatives.

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

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We are seeking a Technical Support Engineer – Optics/Electronics to join our Ansys Customer Excellence (ACE) team. As a Technical Support Engineer, you will be responsible for providing technical support to customers and internal teams, developing and curating technical data for Ansys Optics or Electronics products, and collaborating with subject matter experts to ensure comprehensive and accurate support content.

What You’ll Be Doing:

• Apply your engineering expertise and simulation knowledge to develop and curate technical data for Ansys Optics or Electronics products, ensuring it is optimized for Large Language Models (LLMs) and AI-powered applications.
• Identify and address knowledge gaps by collaborating with subject matter experts, ensuring comprehensive and accurate support content for customers and internal teams.
• Design, implement, and maintain data pipelines that feed internal and external databases, supporting the development and deployment of innovative AI models for customer support and training.
• Continuously develop your technical proficiency in Ansys Optics or Electronics products, as well as state-of-the-art GenAI technologies relevant to technical support, learning, and development.
• Adhere to legal and enterprise-level data governance policies when handling sensitive information, ensuring compliance and data integrity at all times.
• Fully document all developed data workflows and present them to Data Audit teams, contributing to transparency and continuous improvement.
• Participate in strategic team and company initiatives, bringing fresh ideas and a proactive approach to evolving customer support methodologies.
• Demonstrate agility by embracing new responsibilities and adapting to the evolving landscape of technical support and AI integration.

The Impact You Will Have:

• Accelerate the AI transformation of technical support and learning within the Ansys Customer Excellence (ACE) team, elevating the customer experience.
• Enable customers to deploy Ansys simulation software more effectively, directly contributing to their innovation and success.
• Enhance the quality and accessibility of technical knowledge, empowering both customers and internal teams with robust, AI-ready resources.
• Drive efficiency and scalability in support operations by developing data-driven solutions and automating routine processes.
• Champion best practices in data governance and workflow documentation, supporting compliance and organizational learning.
• Foster a culture of innovation and agility within the team, influencing the broader adoption of AI and advanced technologies across Ansys and its customer base.
• Support cross-functional initiatives that shape the future of customer engagement and technical support in the engineering software industry.

What You’ll Need:

• Bachelor’s degree in Physics, Optics, Photonics, Opto-Electronics, Electronics, Electrical Engineering, or a related field; MS preferred.
• Solid understanding of photonics and optical physics or electronics fundamentals.
• Hands-on experience with Ansys software or other commercial CAE, CAD, EDA, or PLM tools; familiarity with optical or electronics simulation software like HFSS or Maxwell is a plus.
• Proficiency in Python scripting; knowledge of machine learning basics is advantageous.
• Strong organizational and time management skills, with a demonstrated ability to manage multiple projects and meet deadlines.
• Excellent written and verbal communication skills in English, with the ability to explain complex technical concepts clearly.
• Ability to travel domestically up to 10% of the time.

Who You Are:

• Analytical thinker with a problem-solving mindset and a passion for continuous learning.
• Collaborative team player who values diverse perspectives and thrives in a multicultural environment.
• Self-motivated and proactive, capable of working independently with minimal supervision.
• Adaptable and agile, embracing change and new responsibilities with enthusiasm.
• Excellent communicator, able to engage with technical and non-technical stakeholders alike.
• Organized and detail-oriented, with a strong sense of responsibility and urgency.

The Team You’ll Be A Part Of:

You will join the Ansys Customer Excellence (ACE) team—a dynamic, forward-thinking group of engineers dedicated to revolutionizing customer support and learning experiences. The team is at the forefront of integrating AI into technical support, leveraging collective expertise to solve complex challenges and deliver outstanding value to customers. You’ll collaborate with passionate professionals who are committed to innovation, efficiency, and continuous improvement, all while supporting the success of Ansys customers worldwide.

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

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Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role:

Anthropic is looking for a talented Technical Recruiter to partner with our Core Tech teams. In this pivotal role, you will be instrumental in shaping the future of our organisation by identifying, engaging, and hiring the best and brightest minds across a range of disciplines. As we continue to push the boundaries of AI research and development, we need a passionate recruiter who can help us build a world-class team dedicated to creating safe and beneficial AI systems.

Responsibilities:

• Develop and execute strategic recruiting plans to identify, source, and hire highly qualified candidates, with a focus on Machine Learning and AI talent
• Partner with hiring managers and interviewers to understand hiring needs, team matching, required skills and qualifications
• Enhance and implement recruiting processes and programs while maintaining an inclusive and high talent bar, such as developing targeted outreach campaigns, building connections with industry leaders, and removing any unfair biases from the hiring process
• Collaborate with leadership and cross-functional partners to understand organisational needs and map out long-term talent acquisition strategies that balance priorities across all technical teams
• Enhance Anthropic's employer brand within the research and science community to showcase our mission, culture, and values to candidates
• Stay up-to-date on recruiting best practices, emerging sourcing techniques, interview innovations, and workplace trends

You may be a good fit if you:

• Have 5+ years of experience in full life cycle recruiting supporting core technical teams
• Have a passion for AI's potential to positively impact the world and realistic assessment of its risks and limitations
• Are experimental and are open to new, creative recruiting ideas, or have experience working with hiring managers who are open to non-traditional talent strategies
• Thrive in fast-paced, dynamic environments and enjoy juggling multiple priorities
• Possess strong technical aptitude with the ability to understand and evaluate technical qualifications
• Have enthusiasm for deeply understanding the needs of engineers and innovating on recruiting processes to make them more tailored to the world of AI
• Have excellent organisational skills and attention to detail, as well as a proactive mindset and ability to operate with autonomy
• Have experience partnering with engineers and hiring talent that work on GenAI and LLMs
• Have a proven track record of scaling and building diverse and high-performing teams in a fast-paced, high-growth startup environment

Strong candidates may also:

• Bring a deep interest in AI safety
• Have experience partnering with engineers and hiring talent that work on GenAI and LLMs

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group

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Responsibilities:

• Strategic Technical Partnership: Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues.

• Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment

• Customer Deal Support: Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance.

• Partner Ecosystem & Events: Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities.Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy.

You may be a good fit if you have:

• 5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager

• Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery

• Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more

• Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders

• Experience designing scalable cloud architectures and integrating with enterprise systems

• Familiarity with common LLM frameworks and tools or a background in machine learning or data science

• Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities

• A love of teaching, mentoring, and helping others succeed

• Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative team, and we're committed to making our work as open and transparent as possible.

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Location

New York City

Employment Type

Full time

Location Type

Hybrid

Department

Model Deployment for Business

Compensation

• $198K – $335K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the team

OpenAI’s Forward Deployed Engineering team partners with global pharma and biotech, CROs, and research institutions to deploy existing expertise across the R&D value chain to help customers design and ship production-grade AI systems. We operate at the intersection of customer delivery and core platform development, converting early deployments into repeatable system standards and evaluation practices that scale across regulated environments.

About the role

We are hiring a Forward Deployed Engineer (FDE) to push the frontier on what is possible today across drug discovery (e.g., target identification, molecular design, pre-clinical) and development (e.g., trial design, trial ops, biostats) by leading end-to-end deployments of our models inside life sciences organizations and research institutions. You will work with customers who are deep experts in their scientific or operational domains, translating real-world data, infrastructure, and constraints into production systems.

You will measure success through production adoption, measurable workflow impact, and eval-driven feedback loops, including evaluation benchmarks and acceptance criteria, that inform product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM to deliver in regulated contexts, including inspection readiness with audit trails and traceable evidence.

This role is based in NYC. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required.

In this role you will

• Design and ship production systems around models, owning integrations, data provenance, reliability, and on-call readiness across research, clinical, and operational workflows.

• Lead discovery and scoping from pre-sales through post-sales, translating ambiguous workflow needs into hypothesis-driven problem framing, system requirements, and an execution plan with measurable endpoints.

• Define and enforce launch criteria for regulated contexts, including validation evidence, audit readiness, outcome metrics, and drive delivery until we demonstrate sustained production impact.

• Build in sensitive scientific data environments where auditability, validation, and access controls shape architecture, operating procedures, and failure handling.

• Run evaluation loops that measure model and system quality against workflow-specific scientific benchmarks and use results to drive model and product changes.

• Distill deployment learnings into hardened primitives, reference architectures, validation templates, and benchmark harnesses that scale across regulated life sciences environments.

You might thrive in this role if you

• Bring 5+ years of software/ML engineering or technical deployment experience with customer-facing ownership in biotech, pharma, clinical research, or scientific software; PhD, MS, or equivalent applied experience in a life sciences relevant field encouraged.

• Have owned customer GenAI deployments end-to-end from scoping through production adoption, and improved them through evaluation design, error analysis, and iterative evidence generation that tightens acceptance criteria over time.

• Have delivered AI systems in trial design, regulatory writing, or scientific operations where validation strategy, auditability, compliance constraints, and reviewer expectations shaped system design and rollout.

• Communicate clearly across scientific, clinical, model research, technical, and executive audiences, translating technical tradeoffs into decision quality, risk posture, and measurable outcomes with credibility.

• Apply systems thinking with high execution standards, consistently turning failures, escalations, and audit findings into improved operating standards, validation artifacts, and process improvements.

What we offer

• Competitive salary and equity package

• Opportunity to work with a talented team of engineers and researchers

• Collaborative and dynamic work environment

• Professional development and growth opportunities

• Flexible work arrangements

• Comprehensive benefits package

• Access to cutting-edge technology and resources

How to apply

If you are a motivated and talented individual who is passionate about AI and life sciences, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter explaining why you are a strong fit for this role.

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Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Model Deployment for Business

Compensation

• $198K – $335K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the team

OpenAI’s Forward Deployed Engineering team partners with global pharma and biotech, CROs, and research institutions to deploy existing expertise across the R&D value chain to help customers design and ship production-grade AI systems. We operate at the intersection of customer delivery and core platform development, converting early deployments into repeatable system standards and evaluation practices that scale across regulated environments.

About the role

We are hiring a Forward Deployed Engineer (FDE) to push the frontier on what is possible today across drug discovery (e.g., target identification, molecular design, pre-clinical) and development (e.g., trial design, trial ops, biostats) by leading end-to-end deployments of our models inside life sciences organizations and research institutions. You will work with customers who are deep experts in their scientific or operational domains, translating real-world data, infrastructure, and constraints into production systems.

Responsibilities

• Design and ship production systems around models, owning integrations, data provenance, reliability, and on-call readiness across research, clinical, and operational workflows.

• Lead discovery and scoping from pre-sales through post-sales, translating ambiguous workflow needs into hypothesis-driven problem framing, system requirements, and an execution plan with measurable endpoints.

• Define and enforce launch criteria for regulated contexts, including validation evidence, audit readiness, outcome metrics, and drive delivery until we demonstrate sustained production impact.

• Build in sensitive scientific data environments where auditability, validation, and access controls shape architecture, operating procedures, and failure handling.

• Run evaluation loops that measure model and system quality against workflow-specific scientific benchmarks and use results to drive model and product changes.

• Distill deployment learnings into hardened primitives, reference architectures, validation templates, and benchmark harnesses that scale across regulated life sciences environments.

Requirements

• Bring 5+ years of software/ML engineering or technical deployment experience with customer-facing ownership in biotech, pharma, clinical research, or scientific software; PhD, MS, or equivalent applied experience in a life sciences relevant field encouraged.

• Have owned customer GenAI deployments end-to-end from scoping through production adoption, and improved them through evaluation design, error analysis, and iterative evidence generation that tightens acceptance criteria over time.

• Have delivered AI systems in trial design, regulatory writing, or scientific operations where validation strategy, auditability, compliance constraints, and reviewer expectations shaped system design and rollout.

• Communicate clearly across scientific, clinical, model research, technical, and executive audiences, translating technical tradeoffs into decision quality, risk posture, and measurable outcomes with credibility.

• Apply systems thinking with high execution standards, consistently turning failures, escalations, and audit findings into improved operating standards, validat

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About the Team

OpenAI’s AI Success Engineer team partners with the world’s most ambitious organisations to translate cutting-edge AI into real business value. We guide customers from first deployment through scaled enterprise adoption. Our work spans technical integration and enablement, workflow transformation, and sustained program and product delivery.

About the Role

The Success Engineer role is the primary post-sales point of contact for a portfolio of education institutions. You are responsible for driving account health and adoption, ensuring technical readiness, identifying high-impact academic and administrative use cases, and delivering measurable value to our education customers using OpenAI’s platform.

This role blends technical leadership, program management, customer advisory, and product influence. You will partner deeply with customer teams, map workflows, lead configuration and enablement, oversee deployment plans, and guide institutions toward high-impact use cases that showcase the full value of our platform.

You will work closely with Sales, Solutions Architecture, Product, and Research to ensure the customer experience is connected and successful across every touchpoint. Success in this role means accelerating adoption, increasing customer activation depth, guiding strategic use cases that get to production, and helping customers demonstrate tangible business impact.

In this role, you will:

• Lead the technical relationship for post-sale customers and act as their trusted advisor on deployment, adoption, and value realization.

• Own account health, adoption velocity, and ongoing technical deployment and success across your portfolio.

• Conduct technical enablement and configuration sessions across our broad product portfolio.

• Identify and validate use cases by embedding with customer teams to understand workflows and pain points.

• Lead account level coordination across multiple workstreams, including new product activation, change management, and customer rollout and deployment planning.

• Build strong relationships with provosts, CIOs, IT leaders, academic, and technical stakeholders and help align institutional goals with OpenAI capabilities.

• Translate customer objectives into an actionable adoption roadmap with clear sequencing, milestones, and KPIs.

• Partner with Solutions Architecture, Product, Engineering and Research by surfacing customer feedback, field patterns, and technical blockers and act as a cross-functional navigator who keeps teams aligned, informed, and moving toward customer outcomes.

• Guide value realization through student, faculty, and institutional outcomes such as engagement, research productivity, operational efficiency, and learning impact, supported by baselines and reporting.

• Facilitate workshops for faculty, staff, and administrators on use case design, adoption best practices, champion building, and institution-wide enablement.

• Help drive expansions by identifying high-leverage opportunities where OpenAI’s platform can power new workflows or lines of business.

• Serve as the technical advisor for existing customer implementations by guiding and optimizing account setup, configuration, etc.

You’ll thrive in this role if you:

• 8+ years of experience in technical customer-facing roles such as technical account management, technical GenAI consulting, solutions architecture, technical delivery leadership, or deep technical enterprise SaaS adoption work.

• Experience working with education institutions is preferred but not necessary.

• Deep, hands-on knowledge of OpenAI product capabilities, APIs, SDKs, connectors, and common integration patterns and able to explain model behavior, limitations, technical tradeoffs, embeddings, retrieval augmentation, and approaches to fine-tuning or custom model usage.

• Can translate technical concepts into clear business language and help customers understand the strategic impact of AI technologies.

• Are comfortable embedding with customers to map workflows, identify requirements, and diagnose adoption challenges.

• Have excellent project and program management instincts and can lead multi-workstream initiatives with clarity and structure.

• Enjoy being a thought partner for executive-level stakeholders while also diving deep with technical teams.

• Operate with high ownership and can manage fast decision-making, context switching, and dynamic customer needs.

• Have a strong record of driving technical deployments with hands-on customer work and owning impactful adoption and value for large institutions with complex environments and multiple stakeholders.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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Location

Tokyo, Japan

Employment Type

Full time

Department

About the Team

OpenAI’s AI Success Engineer team partners with the world’s most ambitious organisations to translate cutting-edge AI into real business value. We guide customers from first deployment through scaled enterprise adoption. Our work spans technical integration and enablement, workflow transformation, and sustained program and product delivery.

Our customers range from fast-growing digital natives to the largest global enterprises, government agencies, and educational institutions. Every engagement is an opportunity to shape how AI changes work, productivity, and innovation. This role sits at the centre of that mission.

About the Role

The AI Success Engineer role is the primary post-sales point of contact for OpenAI’s most important customers. You are responsible for driving account health and adoption, ensuring technical readiness, identifying new use cases, and delivering measurable value to our customers with OpenAI’s ambitiously growing platform.

This role blends technical depth, program management, customer advisory, and product influence. You will partner deeply with customer teams, map workflows, lead configuration, oversee deployment plans, and guide customers toward high-impact use cases that showcase the full value of our platform.

You will work closely with Sales, Solutions Architecture, Product, and Research to ensure the customer experience is connected and successful across every touchpoint. Success in this role means accelerating adoption, increasing customer activation depth, guiding strategic use cases that get to production, and helping customers demonstrate tangible business impact.

In this role, you will:

● Lead the technical relationship for post-sale customers and act as their trusted advisor on deployment, adoption, and value realisation

● Own account health, adoption velocity, and ongoing technical deployment and success across your portfolio

● Be an expert in all of OpenAI products across our API and agentic platform, Codex, ChatGPT Enterprise, and more and conduct technical enablement and configuration sessions across them

● Identify and validate use cases by embedding with customer teams to understand workflows and pain points

● Lead account-level coordination across multiple workstreams, including new product activation, change management, and customer rollout and deployment planning

● Build strong relationships with executive sponsors and technical stakeholders and help align business goals with OpenAI capabilities

● Translate customer objectives into an actionable adoption roadmap with clear sequencing, milestones, and KPIs

● Partner with Solutions Architecture, Product, Engineering and Research by surfacing customer feedback, field patterns, and technical blockers and act as a cross-functional navigator who keeps teams aligned, informed, and moving toward customer outcomes

● Guide value realisation and measure impact through baselines, KPI definition, and post-deployment reporting

● Facilitate workshops on use case design, adoption best practices, champion building, and internal enablement

● Help drive expansions by identifying high-leverage opportunities where OpenAI’s platform can power new workflows or lines of business

● Serve as the technical advisor for existing customer implementations by guiding and optimising account setup, configuration, etc.

You’ll thrive in this role if you:

● 8+ years of experience in technical customer-facing roles such as technical account management, technical GenAI consulting or deployment roles, solutions architecture, technical delivery leadership, customer architecture or engineering, or other deep technical enterprise adoption work

● Deep, hands-on knowledge of OpenAI product capabilities, APIs, SDKs, connectors, and common integration patterns and able to explain model behaviour, limitations, technical trade-offs, embeddings, retrieval augmentation, and approaches to fine-tuning or custom model usage

● Understanding and familiarity with coding languages like Python or JavaScript, and comfort with REST APIs, SDKs, automation, CI/CD, containers, and cloud platforms

● Can translate technical concepts into clear business language and help customers understand the strategic impact of AI technologies

● Can show a strong record of driving technical deployments with hands-on on customer work and owning impactful adoption and value for large enterprise customers with complex environments and multiple stakeholders

● Are comfortable embedding with customers to map workflows, identify requirements, and diagnose adoption challenges

● Have excellent project and program management instincts and can lead multi-workstream initiatives with clarity and structure

● Enjoy being a thought partner for C-level stakeholders while also diving deep with technical teams

● Operate with high ownership and can manage fast decision-making, context switching, and dynamic customer needs

● Have a strong record of driving technical deployments with hands-on on customer work and owning impactful adoption and value for large enterprise customers with complex environments and multiple stakeholders

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

XML job scraping automation by YubHub

Location

São Paulo

Employment Type

Full time

Department

About the Team

OpenAI’s AI Success Engineer team partners with the world’s most ambitious organisations to translate cutting-edge AI into real business value. We guide customers from first deployment through scaled enterprise adoption. Our work spans technical integration and enablement, workflow transformation, and sustained program and product delivery.

Our customers range from fast-growing digital natives to the largest global enterprises, government agencies, and educational institutions. Every engagement is an opportunity to shape how AI changes work, productivity, and innovation. This role sits at the centre of that mission.

About the Role

The AI Success Engineer role is the primary post-sales point of contact for OpenAI’s most important customers. You are responsible for driving account health and adoption, ensuring technical readiness, identifying new use cases, and delivering measurable value to our customers with OpenAI’s ambitiously growing platform.

This role blends technical depth, program management, customer advisory, and product influence. You will partner deeply with customer teams, map workflows, lead configuration, oversee deployment plans, and guide customers toward high-impact use cases that showcase the full value of our platform.

You will work closely with Sales, Solutions Architecture, Product, and Research to ensure the customer experience is connected and successful across every touchpoint. Success in this role means accelerating adoption, increasing customer activation depth, guiding strategic use cases that get to production, and helping customers demonstrate tangible business impact.

This role is based in São Paulo (office 3x a week) and we provide relocation support to new employees.

In this role, you will:

• Lead the technical relationship for post-sale customers and act as their trusted advisor on deployment, adoption, and value realisation.

• Own account health, adoption velocity, and ongoing technical deployment and success across your portfolio.

• Be an expert in all of OpenAI products across our API and agentic platform, Codex, ChatGPT Enterprise, and more and conduct technical enablement and configuration sessions across them.

• Identify and validate use cases by embedding with customer teams to understand workflows and pain points.

• Lead account-level coordination across multiple work streams, including new product activation, change management, and customer rollout and deployment planning.

• Build strong relationships with executive sponsors and technical stakeholders and help align business goals with OpenAI capabilities.

• Translate customer objectives into an actionable adoption roadmap with clear sequencing, milestones, and KPIs.

• Partner with Solutions Architecture, Product, Engineering and Research by surfacing customer feedback, field patterns, and technical blockers and act as a cross-functional navigator who keeps teams aligned, informed, and moving toward customer outcomes.

• Guide value realisation and measure impact through baselines, KPI definition, and post-deployment reporting.

• Facilitate workshops on use case design, adoption best practices, champion building, and internal enablement.

• Help drive expansions by identifying high-leverage opportunities where OpenAI’s platform can power new workflows or lines of business.

• Serve as the technical advisor for existing customer implementations by guiding and optimising account setup, configuration, etc.

You’ll thrive in this role if you:

• 8+ years of experience in technical customer-facing roles such as technical account management, technical GenAI consulting or deployment roles, solutions architecture, technical delivery leadership, customer architecture or engineering, or other deep technical enterprise adoption work.

• Deep, hands-on knowledge of OpenAI product capabilities, APIs, SDKs, connectors, and common integration patterns and able to explain model behaviour, limitations, technical trade-offs, embeddings, retrieval augmentation, and approaches to fine-tuning or custom model usage.

• Understanding and familiarity with coding languages like Python or JavaScript, and comfort with REST APIs, SDKs, automation, CI/CD, containers, and cloud platforms.

• Can translate technical concepts into clear business language and help customers understand the strategic impact of AI technologies.

• Can show a strong record of driving technical deployments with hands-on on customer work and owning impactful adoption and value for large enterprise customers with complex environments and multiple stakeholders.

• Are comfortable embedding with customers to map workflows, identify requirements, and diagnose adoption challenges.

• Have excellent project and program management instincts and can lead multi-work stream initiatives with clarity and structure.

• Enjoy being a thought partner for C-level stakeholders while also diving deep with technical teams.

• Operate with high ownership and can manage fast decision-making, context switching, and dynamic customer needs.

• Have a strong record of driving technical deployments with hands-on on customer work and owning impactful adoption and value for large enterprise customers with complex environments and multiple stakeholders.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of human endeavour.

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AI Deployment Engineer, Gov

Location

Washington, DC

Employment Type

Full time

Location Type

Hybrid

Department

OpenAI for Gov

Compensation

• Remote- Zone A$137K – $250.2K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the team

The AI Deployment Engineering team is responsible for ensuring the safe and effective deployment of Generative AI applications. We act as a trusted advisor and thought partner for our customers, working to build an effective backlog of GenAI use cases for their industry and drive them to production through strong technical guidance. As the founding AI Deployment Engineer in the Public Sector segment, you’ll help government agencies transform their organization through solutions such as automated content generation, contextual search, and novel applications that make use of our newest, most exciting models and technology.

About the Role

We are looking for a solutions-oriented technical leader to partner with our public sector customers and ensure they achieve tangible value with GenAI. You will pair with government agencies (federal, state, and local), policymakers, and other public institutions to establish a GenAI strategy and identify the highest value applications. You’ll then partner with their technical teams, subject matter experts, systems integrators, and implementation partners to move from prototype through production. You’ll take a holistic view of their needs and design an architecture using the OpenAI API and other services to maximize customer value. You will collaborate closely with Sales, Solutions Engineering, Global Affairs, Applied Research, and Product teams.

This role is based in Washington, DC. We offer relocation support to new employees.

In this role, you will:

• Deeply embed with our most sophisticated public sector customers as the technical lead, serving as their technical thought partner to ideate and build novel applications on our API.

• Work with senior customer stakeholders to identify the best applications of GenAI in their industry and to build/qualify a comprehensive backlog to support their AI roadmap.

• Intervene directly to accelerate customer time to value through building hands-on prototypes and/or by delivering impactful strategic guidance, often in collaboration with systems integrators and implementation partners.

• Forge and manage relationships with our customers’ and implementation partners’ leadership and stakeholders to ensure the successful deployment and scale of their applications.

• Contribute to our open-source developer and enterprise resources.

• Scale the AI Deployment Engineering function through sharing knowledge, codifying best practices, and publishing notebooks to our internal and external repositories.

• Validate, synthesize, and deliver high-signal feedback to the Product, Engineering, and Research teams.

You’ll thrive in this role if you:

• Bring 7+ years of technical consulting (or equivalent) experience with public sector customers (U.S. federal preferred), bridging technical teams and senior stakeholders.

• Active TS/SCI clearance

• Have successfully led GenAI or traditional ML implementations for government agencies in close collaboration with systems integrators and implementation partners.

• Understand network and cloud architecture, including experience with on-premise deployments.

• Are an effective and polished communicator who can translate business and technical topics to all audiences.

• Have industry experience in programming languages like Python or Javascript.

• Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done.

• Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.

• Are an effective, high throughput operator who can drive multiple concurrent projects and prioritize ruthlessly.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.

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About the Team

OpenAI’s AI Success Engineer team partners with the world’s most ambitious organisations to translate cutting-edge AI into real business value. We guide customers from first deployment through scaled enterprise adoption. Our work spans technical integration and enablement, workflow transformation, and sustained program and product delivery.

About the Role

The AI Success Engineer role is the primary post-sales point of contact for OpenAI’s most important customers. You are responsible for driving account health and adoption, ensuring technical readiness, identifying new use cases, and delivering measurable value to our customers with OpenAI’s ambitiously growing platform.

This role blends technical depth, program management, customer advisory, and product influence. You will partner deeply with customer teams, map workflows, lead configuration, oversee deployment plans, and guide customers toward high-impact use cases that showcase the full value of our platform.

In this role, you will:

• Lead the technical relationship for post-sale customers and act as their trusted advisor on deployment, adoption, and value realisation

• Own account health, adoption velocity, and ongoing technical deployment and success across your portfolio

• Be an expert in all of OpenAI products across our API and agentic platform, Codex, ChatGPT Enterprise, and more and conduct technical enablement and configuration sessions across them

• Identify and validate use cases by embedding with customer teams to understand workflows and pain points

• Lead account level coordination across multiple workstreams, including new product activation, change management, and customer rollout and deployment planning

• Build strong relationships with executive sponsors and technical stakeholders and help align business goals with OpenAI capabilities

• Translate customer objectives into an actionable adoption roadmap with clear sequencing, milestones, and KPIs

• Partner with Solutions Architecture, Product, Engineering and Research by surfacing customer feedback, field patterns, and technical blockers and act as a cross-functional navigator who keeps teams aligned, informed, and moving toward customer outcomes

• Guide value realisation and measure impact through baselines, KPI definition, and post-deployment reporting

• Facilitate workshops on use case design, adoption best practices, champion building, and internal enablement

• Help drive expansions by identifying high-leverage opportunities where OpenAI’s platform can power new workflows or lines of business

• Serve as the technical advisor for existing customer implementations by guiding and optimising account setup, configuration, etc.

You’ll thrive in this role if you:

• 8+ years of experience in technical customer-facing roles such as technical account management, technical GenAI consulting or deployment roles, solutions architecture, technical delivery leadership, customer architecture or engineering, or other deep technical enterprise adoption work

• Deep, hands-on operational knowledge of OpenAI product capabilities, APIs, SDKs, connectors, and common integration patterns and able to explain model behaviour, limitations, techn

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AI Success Engineer - NYC

Location

New York City

Employment Type

Full time

Location Type

Hybrid

Department

Compensation

• $162K – $240K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

OpenAI’s AI Success Engineer team partners with the world’s most ambitious organisations to translate cutting-edge AI into real business value. We guide customers from first deployment through scaled enterprise adoption. Our work spans technical integration and enablement, workflow transformation, and sustained program and product delivery.

Our customers range from fast-growing digital natives to the largest global enterprises, government agencies, and educational institutions. Every engagement is an opportunity to shape how AI changes work, productivity, and innovation. This role sits at the centre of that mission.

About the Role

The AI Success Engineer role is the primary post-sales point of contact for OpenAI’s most important customers. You are responsible for driving account health and adoption, ensuring technical readiness, identifying new use cases, and delivering measurable value to our customers with OpenAI’s ambitiously growing platform.

This role blends technical depth, program management, customer advisory, and product influence. You will partner deeply with customer teams, map workflows, lead configuration, oversee deployment plans, and guide customers toward high-impact use cases that showcase the full value of our platform.

You will work closely with Sales, Solutions Architecture, Product, and Research to ensure the customer experience is connected and successful across every touchpoint. Success in this role means accelerating adoption, increasing customer activation depth, guiding strategic use cases that get to production, and helping customers demonstrate tangible business impact.

This role is based in NYC (office 3x a week) and we provide relocation support to new employees.

In this role, you will:

• Lead the technical relationship for post-sale customers and act as their trusted advisor on deployment, adoption, and value realisation

• Own account health, adoption velocity, and ongoing technical deployment and success across your portfolio

• Be an expert in all of OpenAI products across our API and agentic platform, Codex, ChatGPT Enterprise, and more and conduct technical enablement and configuration sessions across them

• Identify and validate use cases by embedding with customer teams to understand workflows and pain points

• Lead account-level coordination across multiple workstreams, including new product activation, change management, and customer rollout and deployment planning

• Build strong relationships with executive sponsors and technical stakeholders and help align business goals with OpenAI capabilities

• Translate customer objectives into an actionable adoption roadmap with clear sequencing, milestones, and KPIs

• Partner with Solutions Architecture, Product, Engineering and Research by surfacing customer feedback, field patterns, and technical blockers and act as a cross-functional navigator who keeps teams aligned, informed, and moving toward customer outcomes

• Guide value realisation and measure impact through baselines, KPI definition, and post-deployment reporting

• Facilitate workshops on use case design, adoption best practices, champion building, and internal enablement

• Help drive expansions by identifying high-leverage opportunities where OpenAI’s platform can power new workflows or lines of business

• Serve as the technical advisor for existing customer implementations by guiding and optimising account setup, configuration, etc.

You’ll thrive in this role if you:

• 8+ years of experience in technical customer-facing roles such as technical account management, technical GenAI consulting or deployment roles, solutions architecture, technical delivery leadership, customer architecture or engineering, or other deep technical enterprise adoption work

• Deep, hands-on knowledge of OpenAI product capabilities, APIs, SDKs, connectors,

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Location

San Francisco

Employment Type

Full time

Department

Compensation

• $162K – $240K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

About the Team

OpenAI’s AI Success Engineer team partners with the world’s most ambitious organisations to translate cutting-edge AI into real business value. We guide customers from first deployment through scaled enterprise adoption. Our work spans technical integration and enablement, workflow transformation, and sustained program and product delivery.

Our customers range from fast-growing digital natives to the largest global enterprises, government agencies, and educational institutions. Every engagement is an opportunity to shape how AI changes work, productivity, and innovation. This role sits at the centre of that mission.

About the Role

The AI Success Engineer role is the primary post-sales point of contact for OpenAI’s most important customers. You are responsible for driving account health and adoption, ensuring technical readiness, identifying new use cases, and delivering measurable value to our customers with OpenAI’s ambitiously growing platform.

This role blends technical depth, program management, customer advisory, and product influence. You will partner deeply with customer teams, map workflows, lead configuration, oversee deployment plans, and guide customers toward high-impact use cases that showcase the full value of our platform.

You will work closely with Sales, Solutions Architecture, Product, and Research to ensure the customer experience is connected and successful across every touchpoint. Success in this role means accelerating adoption, increasing customer activation depth, guiding strategic use cases that get to production, and helping customers demonstrate tangible business impact.

In this role, you will:

• Lead the technical relationship for post-sale customers and act as their trusted advisor on deployment, adoption, and value realisation

• Own account health, adoption velocity, and ongoing technical deployment and success across your portfolio

• Be an expert in all of OpenAI products across our API and agentic platform, Codex, ChatGPT Enterprise, and more and conduct technical enablement and configuration sessions across them

• Identify and validate use cases by embedding with customer teams to understand workflows and pain points

• Lead account-level coordination across multiple workstreams, including new product activation, change management, and customer rollout and deployment planning

• Build strong relationships with executive sponsors and technical stakeholders and help align business goals with OpenAI capabilities

• Translate customer objectives into an actionable adoption roadmap with clear sequencing, milestones, and KPIs

• Partner with Solutions Architecture, Product, Engineering and Research by surfacing customer feedback, field patterns, and technical blockers and act as a cross-functional navigator who keeps teams aligned, informed, and moving toward customer outcomes

• Guide value realisation and measure impact through baselines, KPI definition, and post-deployment reporting

• Facilitate workshops on use case design, adoption best practices, champion building, and internal enablement

• Help drive expansions by identifying high-leverage opportunities where OpenAI’s platform can power new workflows or lines of business

• Serve as the technical advisor for existing customer implementations by guiding and optimising account setup, configuration, etc.

You’ll thrive in this role if you:

• 8+ years of experience in technical customer-facing roles such as technical account management, technical GenAI consulting or deployment roles, solutions architecture, technical delivery leadership, customer architecture or engineering, or other deep technical enterprise adoption work

• Deep, hands-on knowledge of OpenAI product capabilities, APIs, SDKs, connectors, and co

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About the Team

OpenAI’s AI Success Engineer team partners with the world’s most ambitious organisations to translate cutting-edge AI into real business value. We guide customers from first deployment through scaled enterprise adoption. Our work spans technical integration and enablement, workflow transformation, and sustained program and product delivery.

About the Role

The Success Engineer role is the primary post-sales point of contact for a set of OpenAI’s most important customers. You are responsible for driving account health and adoption, ensuring technical readiness, identifying new use cases, and delivering measurable value to our customers with OpenAI’s platform.

This role blends technical leadership, program management, customer advisory, and product influence. You will partner deeply with customer teams, map workflows, lead configuration and enablement, oversee deployment plans, and guide customers toward high-impact use cases that showcase the full value of our platform.

You will work closely with Sales, Solutions Architecture, Product, and Research to ensure the customer experience is connected and successful across every touchpoint. Success in this role means accelerating adoption, increasing customer activation depth, guiding strategic use cases that get to production, and helping customers demonstrate tangible business impact.

In this role, you will:

• Lead the technical relationship for post-sale customers and act as their trusted advisor on deployment, adoption, and value realization

• Own account health, adoption velocity, and ongoing technical deployment and success across your portfolio

• Conduct technical enablement and configuration sessions across our broad product portfolio

• Identify and validate use cases by embedding with customer teams to understand workflows and pain points

• Lead account level coordination across multiple workstreams, including new product activation, change management, and customer rollout and deployment planning

• Build strong relationships with executive sponsors and technical stakeholders and help align business goals with OpenAI capabilities

• Translate customer objectives into an actionable adoption roadmap with clear sequencing, milestones, and KPIs

• Partner with Solutions Architecture, Product, Engineering and Research by surfacing customer feedback, field patterns, and technical blockers and act as a cross-functional navigator who keeps teams aligned, informed, and moving toward customer outcomes

• Guide value realization and measure impact through baselines, KPI definition, and post-deployment reporting

• Facilitate workshops on use case design, adoption best practices, champion building, and internal enablement

• Help drive expansions by identifying high-leverage opportunities where OpenAI’s platform can power new workflows or lines of business

• Serve as the technical advisor for existing customer implementations by guiding and optimizing account setup, configuration, etc.

You’ll thrive in this role if you:

• 8+ years of experience in technical customer-facing roles such as technical account management, technical GenAI consulting or deployment roles, solutions architecture, technical delivery leadership, or deep technical enterprise adoption work

• Deep, hands-on knowledge of OpenAI product capabilities, APIs, SDKs, connectors, and common integration patterns and able to explain model behavior, limitations, technical tradeoffs, embeddings, retrieval augmentation, and approaches to fine-tuning or custom model usage

• Can translate technical concepts into clear business language and help customers understand the strategic impact of AI technologies

• Are comfortable embedding with customers to map workflows, identify requirements, and diagnose adoption challenges

• Have excellent project and program management instincts and can lead multi-workstream initiatives with clarity and structure

• Enjoy being a thought partner for C-level stakeholders while also diving deep with technical teams

• Operate with high ownership and can manage fast decision making, context switching, and dynamic customer needs

• Have a strong record of driving technical deployments with hands-on on customer work and owning impactful adoption and value for large enterprise customers with complex environments and multiple stakeholders

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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Location

Dublin, Ireland

Employment Type

Full time

Location Type

Hybrid

Department

Model Deployment for Business

About the team

OpenAI’s Forward Deployed Engineering team partners with global pharma and biotech, CROs, and research institutions to deploy existing expertise across the R&D value chain to help customers design and ship production-grade AI systems. We operate at the intersection of customer delivery and core platform development, converting early deployments into repeatable system standards and evaluation practices that scale across regulated environments.

About the role

We are hiring a Forward Deployed Engineer (FDE) to push the frontier on what is possible today across drug discovery (e.g., target identification, molecular design, pre-clinical) and development (e.g., trial design, trial ops, biostats) by leading end-to-end deployments of our models inside life sciences organizations and research institutions. You will work with customers who are deep experts in their scientific or operational domains, translating real-world data, infrastructure, and constraints into production systems.

You will measure success through production adoption, measurable workflow impact, and eval-driven feedback loops, including evaluation benchmarks and acceptance criteria, that inform product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM to deliver in regulated contexts, including inspection readiness with audit trails and traceable evidence.

This role is based in Dublin. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required.

In this role you will

• Design and ship production systems around models, owning integrations, data provenance, reliability, and on-call readiness across research, clinical, and operational workflows.

• Lead discovery and scoping from pre-sales through post-sales, translating ambiguous workflow needs into hypothesis-driven problem framing, system requirements, and an execution plan with measurable endpoints.

• Define and enforce launch criteria for regulated contexts, including validation evidence, audit readiness, outcome metrics, and drive delivery until we demonstrate sustained production impact.

• Build in sensitive scientific data environments where auditability, validation, and access controls shape architecture, operating procedures, and failure handling.

• Run evaluation loops that measure model and system quality against workflow-specific scientific benchmarks and use results to drive model and product changes.

• Distill deployment learnings into hardened primitives, reference architectures, validation templates, and benchmark harnesses that scale across regulated life sciences environments.

You might thrive in this role if you

• Bring 5+ years of software/ML engineering or technical deployment experience with customer-facing ownership in biotech, pharma, clinical research, or scientific software; PhD, MS, or equivalent applied experience in a life sciences relevant field encouraged.

• Have owned customer GenAI deployments end-to-end from scoping through production adoption, and improved them through evaluation design, error analysis, and iterative evidence generation that tightens acceptance criteria over time.

• Have delivered AI systems in trial design, regulatory writing, or scientific operations where validation strategy, auditability, compliance constraints, and reviewer expectations shaped system design and rollout.

• Communicate clearly across scientific, clinical, model research, technical, and executive audiences, translating technical tradeoffs into decision quality, risk posture, and measurable outcomes with credibility.

• Apply systems thinking with high execution standards, consistently turning failures, escalations, and audit findings into improved operating standards, validation artifacts, and repeatable deployment playbooks.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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