Your tasks will include configuring Windows Cloud Managed Clients in Intune, testing and validating new or adapted Intune configurations, documenting configuration changes, and evaluating pilot feedback from national and international teams.

You will also assist in building Power BI reports and automations, creating simple automations using agents and Power Automate, preparing meeting materials for national and international meetings, and maintaining software packages in Microsoft Intune.

As a member of our team, you will work closely with international teams and contribute to the development of our digital solutions.

We offer a unique opportunity to gain hands-on experience in a dynamic and innovative environment, working with cutting-edge technologies and collaborating with experienced professionals.

beneficiation package includes a variety of benefits, including a comprehensive health insurance plan, a pension scheme, and a generous holiday allowance.

If you are a motivated and enthusiastic individual with a passion for technology and innovation, we encourage you to apply for this exciting opportunity.

We look forward to receiving your application!

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You'll work with modern tooling, a cross-functional team, and teammates who care deeply about impact, collaboration, and learning together.

As a Senior Software Engineer - Revenue Management, you'll be the engineering backbone that enables our Data Scientists to move from experimentation to production. You bridge the gap between data science models and reliable, scalable production systems.

Your key responsibilities will include:

• Supporting model deployment and serving: help deploy pricing and demand models into production, building and maintaining APIs and serving infrastructure.

• Building and operating production pipelines: ensure data flows reliably from source to model to output, with proper monitoring and alerting.

• Collaborating cross-functionally: work closely with Data Scientists, Analysts, and Engineering teams to turn prototypes into production-ready solutions.

• Owning infrastructure and tooling: set up and maintain the environments, CI/CD pipelines, and infrastructure that the team depends on.

• Ensuring operational excellence by implementing monitoring, automated testing, and observability across the team's production systems.

• Migrating and productionizing POC: turn experimental code into robust, maintainable Python applications.

• Ensuring data quality, consistency, and documentation across revenue management metrics and datasets.

You don't need to meet every requirement , we're looking for strong fundamentals, ownership, and the motivation to grow.

• 4+ years of experience in Software Engineering, Data Engineering, DevOps, or MLOps.

• Strong hands-on skills in Python , you write clean, production-quality code.

• Experience with CI/CD, Docker, and infrastructure-as-code (e.g., Terraform).

• Familiarity with cloud platforms (AWS preferred) and deploying services in production.

• Exposure to or interest in ML model deployment (MLflow, SageMaker, or similar) is a strong plus.

• Desire to learn and use cutting-edge LLM tools and agents to improve your and the entire team's productivity.

• A proactive, hands-on mindset: you take ownership, spot problems, and drive solutions forward.

Impact: Shape the future of travel with products used by millions of guests and thousands of hosts. At Holidu ideas become products, data drives decisions, and iteration fuels fast learning. Your work matters - and you’ll see the impact.

Learning: Grow professionally in a culture that thrives on curiosity and feedback. You’ll learn from outstanding colleagues, collaborate across disciplines, and benefit from mentorship, and personal learning budgets - with a strong focus on AI.

Great People: Join a team of smart, motivated and international colleagues who challenge and support each other. We celebrate wins and keep our culture fun, ambitious and human. Our customers are guests and hosts - people we can all relate to - making work meaningful and energizing.

Technology: Work in a modern tech environment. You’ll experience the pace of a scale-up combined with the stability of a proven business model, enabling you to build, test, and improve continuously.

Flexibility: Work a hybrid setup with 50% in-office time for collaboration, and spend up to 8 weeks a year from other inspiring locations. You’ll stay connected through regular events and meet-ups across our almost 30 offices.

Perks on Top: Of course, we also offer travel benefits, gym discounts, and other perks to keep you energized - but what truly sets us apart is the chance to grow in a dynamic industry, alongside amazing people, while having fun along the way.

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As a Senior DataOps Engineer / Software Engineer, you'll be the engineering backbone that enables our Data Scientists to move from experimentation to production. You'll bridge the gap between data science models and reliable, scalable production systems.

Key responsibilities include:

• Supporting model deployment and serving: help deploy pricing and demand models into production, building and maintaining APIs and serving infrastructure.
• Building and operating production pipelines: ensure data flows reliably from source to model to output, with proper monitoring and alerting.
• Collaborating cross-functionally: work closely with Data Scientists, Analysts, and Engineering teams to turn prototypes into production-ready solutions.
• Owning infrastructure and tooling: set up and maintain the environments, CI/CD pipelines, and infrastructure that the team depends on.
• Ensuring operational excellence by implementing monitoring, automated testing, and observability across the team's production systems.
• Migrating and productionizing POC: turn experimental code into robust, maintainable Python applications.
• Ensuring data quality, consistency, and documentation across revenue management metrics and datasets.

We're looking for someone with 4+ years of experience in Software Engineering, Data Engineering, DevOps, or MLOps. You should have strong hands-on skills in Python, experience with CI/CD, Docker, and infrastructure-as-code (e.g., Terraform), familiarity with cloud platforms (AWS preferred), and deploying services in production. Exposure to or interest in ML model deployment (MLflow, SageMaker, or similar) is a strong plus.

Our team is passionate about using cutting-edge LLM tools and agents to improve productivity. We're looking for someone who is proactive, hands-on, and takes ownership of problems and drives solutions forward.

Benefits include:

• Impact: Shape the future of travel with products used by millions of guests and thousands of hosts.
• Learning: Grow professionally in a culture that thrives on curiosity and feedback.
• Great People: Join a team of smart, motivated, and international colleagues who challenge and support each other.
• Technology: Work in a modern tech environment with a pace of a scale-up combined with the stability of a proven business model.
• Flexibility: Work a hybrid setup with 50% in-office time for collaboration, and spend up to 8 weeks a year from other inspiring locations.
• Perks on Top: Travel benefits, gym discounts, and other perks to keep you energized.

If you're interested in joining our team, apply online on our careers page! Your first travel contact will be Katharina from HR.

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Key Responsibilities: Lead and mentor a high-performing engineering team of 50+, fostering a culture of technical excellence and ownership. Guide your team through complex challenges involving LLMs, AI agents, and large-scale distributed systems. Represent Scale AI in high-stakes negotiations and strategic discussions with senior external partners, demonstrating strong technical competence and credibility. Develop and communicate a compelling vision for Scale AI’s technology applied to your program. Provide regular updates to senior leadership and key stakeholders on progress, risks, and opportunities. Foster a culture of speed, unity of purpose, resilience, and teamwork.

Requirements: 10+ years of software engineering experience, including 5+ years in a technical leadership or staff role. Deep understanding of modern AI/ML technologies, including experience working with LLMs and AI agents. Proficient in one or more modern programming languages (Python, JavaScript/TypeScript). Hands-on experience with Kubernetes and cloud infrastructure (AWS, GCP, or Azure). Strong product and business sense, with a track record of aligning engineering efforts with company goals. Ability to operate effectively in ambiguous, fast-changing environments and guide your team to do the same. Experience in executive level engagement with industry partners and Public Sector customers

Success Metrics: Within 6 months: Successful demonstration of agentic AI’s mission value in high-stakes customer demonstrations Establish Scale AI as the preferred agentic AI partner for the PEO Establish high velocity, agile engineering cadence both internally and with our industry partners

Within 12–18 months: Secure follow-on contract award with expanded scope for Scale Position Scale AI as the global AI leader in this mission area Establish developed solutions as Scale product offerings to deliver on future contracts

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

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Your responsibilities will include:

• Defining next-generation AI development tooling and frameworks using products like Cursor, Claude Code, OpenAI Codex, and MS Copilot, as well as in-house custom-built solutions.
• Driving the architecture, design, and implementation of our local development process, build, test, continuous integration, and continuous delivery systems, working closely with stakeholders and internal customers to understand and refine requirements.
• Directly mentoring software engineers ranging from new grads to experienced engineers.
• Proactively identifying opportunities and driving improvements to software development practices, processes, tools, and languages.
• Presenting technical information to teams and stakeholders, providing guidance and insight on development processes and technologies.

Ideally, you'd have:

• 4+ years of full-time engineering experience, post-graduation, with experience in build, test, or CI/CD systems.
• Extensive experience defining and evangelizing best-practices for AI development tools, including cost guardrails, security frameworks, and hosting knowledge-sharing sessions, among others.
• Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred).
• Experience configuring, testing, and enabling MCP servers, AI agents, and other associated systems.
• A track record of independent ownership of successful engineering projects.
• Excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders.
• Experience working fluently with standard infrastructure, containerization, and deployment technologies like Terraform, Docker, Kubernetes, etc.
• Experience with modern web frameworks like NodeJS, NextJS, etc.
• Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI, Helm, ArgoCD).

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

This role may be eligible for additional benefits such as a commuter stipend.

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You will work closely with Scale’s ML teams and researchers to build the foundation platform which supports all our ML research and development works. You will be building and optimising the platform to enable our next generation LLM training, inference and data curation.

Key responsibilities include:

• Building, profiling and optimising our training and inference framework.
• Collaborating with ML and research teams to accelerate their research and development, and enable them to develop the next generation of models and data curation.
• Researching and integrating state-of-the-art technologies to optimise our ML system.

The ideal candidate will have:

• Passionate about system optimisation.
• Experience with multi-node LLM training and inference.
• Experience with developing large-scale distributed ML systems.
• Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc.
• Strong software engineering skills, proficient in frameworks and tools such as CUDA, PyTorch, transformers, flash attention, etc.

Nice to haves include demonstrated expertise in post-training methods and/or next generation use cases for large language models including instruction tuning, RLHF, tool use, reasoning, agents, and multimodal, etc.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

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Scale's ML platform (RLXF) team builds our internal distributed framework for large language model training and inference. The platform has been powering MLEs, researchers, data scientists and operators for fast and automatic training and evaluation of LLM's, as well as evaluation of data quality.

At Scale, we're uniquely positioned at the heart of the field of AI as an indispensable provider of training and evaluation data and end-to-end solutions for the ML lifecycle. You will work closely across Scale's ML teams and researchers to build the foundation platform that supports all our ML research and development. You will be building and optimizing the platform to enable our next generation of LLM training, inference and data curation.

Responsibilities:

• Build, profile and optimize our training and inference framework
• Collaborate with ML teams to accelerate their research and development and enable them to develop the next generation of models and data curation
• Research and integrate state-of-the-art technologies to optimize our ML system

Ideal Candidate:

• Strong excitement about system optimization
• Experience with multi-node LLM training and inference
• Experience with developing large-scale distributed ML systems
• Strong software engineering skills, proficient in frameworks and tools such as CUDA, Pytorch, transformers, flash attention, etc.
• Strong written and verbal communication skills and the ability to operate in a cross functional team environment

Nice to Have:

• Demonstrated expertise in post-training methods &/or next generation use cases for large language models including instruction tuning, RLHF, tool use, reasoning, agents, and multimodal, etc.

Compensation Packages:

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Please note that our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

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Lead applied ML engineering on Scale's Applied ML team, powering data infrastructure for leading agentic LLMs (ChatGPT, Gemini, Llama). You will build scalable multi-agent systems to validate agentic reasoning and behaviours, scale human expertise, and drive research into real-world agent reliability failures despite strong benchmarks, shipping production fixes.

Responsibilities

• Build and deploy multi-agent systems for agentic reasoning validation
• Develop pipelines to detect errors and scale human judgment
• Combine classical ML, LLMs, and multi-agent techniques for reliability
• Lead research into agent failure modes and ship fixes
• Use AI tools to speed prototyping and iteration
• Build data-driven evaluations and deploy rapid improvements
• Integrate systems into Scale's platform

Ideal Candidate

• PhD or MSc in Computer Science, Mathematics, Statistics, or related field
• 3+ years shipping scaled production ML systems
• Demonstrated real-world impact
• Mastery of PyTorch, TensorFlow, JAX, or scikit-learn
• Deep expertise in agentic LLMs and multi-agent systems
• Strong software engineering and microservices (AWS/GCP)
• Rapid, data-driven iteration
• Proficiency using AI tools to accelerate work
• Strong research depth with practical bias
• Excellent cross-functional communication

Nice to Have

• Experience prototyping agent evaluation/reliability systems
• Human-in-the-loop or annotation pipeline work
• Open-source contributions in agents, evaluation, or alignment
• Publications on agent reliability (NeurIPS, ICML, ICLR)

Compensation

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity-based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

About Us

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

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The ideal candidate thrives in a fast-paced environment, has a passion for both deep technical work and mentoring, and is capable of setting a long-term technical strategy for a critical domain while maintaining a strong, hands-on delivery focus.

You will architect and implement solutions across multiple cloud providers (GCP, Azure, AWS) for customers in diverse, highly-regulated industries like healthcare, telecom, finance, and retail.

Key responsibilities include:

• Architecting multi-cloud systems and abstractions to allow the SGP platform to run on top of existing Cloud providers.
• Using our own data and AI platform to analyse build and test logs and metrics to identify areas for improvement.
• Defining the architectural patterns for our multi-cloud infrastructure to support secure, reliable, and scalable Agentic workflows for enterprise customers.
• Enhancing engineering and infrastructure efficiency, reliability, accuracy, and response times, including CI/CD processes, test frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection.
• Collaborating with platform and product teams to develop and implement innovative infrastructure that scales to meet evolving needs.
• Designing and championing highly scalable, reliable, and low-latency infrastructure and frameworks for building, orchestrating, and evaluating multi-agent systems at enterprise scale.
• Leading the infrastructure roadmap with a strong focus on compliance, privacy, and security standards, including designing change management and data isolation strategies.
• Owning the development and maintenance of our best-in-class Agentic observability platform (logging, metrics, tracing, and analytics) to proactively ensure system health and enable rapid incident response.
• Driving developer efficiency by building automated tooling and championing Infrastructure-as-Code (IaC) paradigms throughout the engineering organization to improve workflows and operational efficiency.

The ideal candidate has proven experience in a senior role, with 5+ years of full-time software engineering experience, and a deep understanding of modern infrastructure practices, including CI/CD, IaC (e.g., Terraform, Helm Charts), container orchestration (e.g., Kubernetes) and observability platforms (e.g., Datadog, Prometheus, Grafana).

Extensive experience with at least one major cloud provider (AWS, Azure, or GCP) and strong knowledge of security and compliance in enterprise environments, with a focus on access management, data isolation, and customer-specific VPC setups is required.

Proficiency in Python or JavaScript/TypeScript, and SQL is also necessary.

Bonus points for hands-on experience and a passion for working with Agents, LLMs, vector databases, and other emerging AI technologies.

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As a Senior Software Engineer, you will build and maintain internal engineering tooling that improves builder flow and reduces friction across the company. You will provide guidance, best practices, and automation to support adoption of AI agentic coding tools.

Key responsibilities include:

• Building and maintaining internal engineering tooling that improves builder flow and reduces friction across the company.
• Providing guidance, best practices, and automation to support adoption of AI agentic coding tools.
• Developing and operating internally facing agents.
• Implementing and improving developer workflows, including guardrails, evaluation approaches, and guidance that enables safe adoption of new tooling.
• Owning development and operation of our internal agent platform.
• Partnering with teams across Engineering, Product, Sales, and G&A to understand where AI could accelerate their work or improve the quality of outcomes.
• Building measurement and feedback loops (usage, reliability, cost, and cycle time) to quantify impact and guide iteration.
• Owning documentation and enablement materials that help builders succeed using the paved roads.

Requirements include:

• Strong software engineering fundamentals and experience shipping and operating production-quality internal platforms or developer tooling.
• Experience leveraging modern agentic coding tools such as Codex and Claude Code.
• Proficiency in one or more programming languages commonly used at Temporal, such as Go, TypeScript/JavaScript, Python, or Java.
• Experience building workflow automation or internal tools (CLI tools, services, GitHub automation, cloud automation, or similar).
• Strong judgment about when to standardize versus when to enable flexibility, and how to remove friction without compromising reliability.
• Comfort working cross-functionally, including partnering with non-traditional developers and translating needs into usable solutions.
• Ability to use data and qualitative feedback together to prioritize and measure impact.
• Clear written communication, including documentation that enables self-service.

Nice to haves include experience building internal agents and operating an agent platform, familiarity with developer productivity measurement frameworks such as SPACE and DORA metrics.

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You'll combine deep technical fluency with the leadership judgment needed to operate across segments, regions, and partner types,from global health foundations to leading research institutions to frontline non-profits. You'll set the vision for how we scale our expertise from a handful of flagship partnerships to an ecosystem of organisations operating as AI-native, and you'll be accountable for the team, processes, and cross-functional relationships that make that possible.

In collaboration with Beneficial Deployment’s Head of Nonprofits, Product, Engineering, Policy, and our broader GTM organisation, you'll help ensure our partners incorporate Claude into their work responsibly, effectively, and in ways that meaningfully accelerate their missions. You'll represent Anthropic as a senior technical leader on some of our most visible and consequential partnerships, while maintaining our best-in-class safety standards.

Responsibilities:

• Lead, grow, and mentor a globally distributed team of Architects supporting mission-driven non-profits across education, global health, economic mobility, and life sciences

• Set the vision, strategy, and operating model for how Applied AI shows up in Beneficial Deployments,from discovery through deployment, and from individual partnerships to ecosystem-wide infrastructure

• Establish hiring plans, team structure, and career development paths as we scale the team globally; set goals and reviews that promote growth, output, and a high bar for technical excellence

• Partner closely with segment leads and senior partner leadership to understand requirements and shape engagements on our highest-impact partnerships

• Drive the design of cohort-based accelerators, Claude Code enablement programmes, and other scalable mechanisms that multiply our impact across many organisations simultaneously

• Identify patterns across partners and segments to inform what we build at the ecosystem level,MCPs, evals, reference implementations, and shared infrastructure

• Collaborate with Product and Engineering to surface partner needs, influence roadmap, and ensure learnings from the field shape how Claude evolves

• Represent Anthropic externally with senior leaders at foundations, non-profits, research institutions, and government-adjacent organisations

• Travel to partner sites globally for workshops, technical deep dives, and relationship building

• Help shape team processes and culture as Beneficial Deployments scales, and contribute to the broader Applied AI leadership community at Anthropic

• Travel is 30-40% due to the global nature of the team (SF, NYC, London and Bengaluru) and events across Beneficial Deployments.

You may be a good fit if you have:

• 10+ years of experience in technical, customer-facing roles (Solutions Architect, Forward Deployed Engineer, Customer Engineer, Sales Engineer, or similar), with meaningful exposure to complex, high-stakes deployments

• 7+ years of engineering or technical leadership experience, preferably building and scaling customer-facing or forward-deployed teams globally

• Experience working with or inside mission-driven organisations,education, healthcare, scientific research, global development, or non-profits,and a genuine understanding of the constraints, incentives, and operating realities of these sectors

• Familiarity with common LLM implementation patterns, including prompt engineering, evaluation frameworks, agent frameworks, and retrieval systems; working knowledge of Python

• A track record of building teams in ambiguous, fast-moving environments, and comfort wearing multiple hats as the team scales

• Strong executive presence and the ability to foster deep, trusted relationships with senior partner leadership

• Excellent communication, collaboration, and coaching abilities, with a love of teaching and helping others succeed

• The ability to think holistically, identify core principles that translate across scenarios, and make ambiguous problems clear

• A passion for making powerful technology safe and societally beneficial, and for thinking creatively about risks and benefits beyond existing playbooks

Strong candidates may also have:

• Experience leading globally distributed teams across time zones and regions

• Background in philanthropy, global health, education technology, or scientific research

• Experience designing cohort-based or programmatic delivery models that scale technical expertise across many organisations

• A working understanding of emerging research in agents, evaluations, and AI safety

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As a Scaled Customer Success Manager, you'll be the customer's trusted guide,helping them adopt and embed Intercom's suite at scale, extracting real value, and scaling processes so more businesses succeed, more reliably.

If you're excited by working at the intersection of AI, product adoption, and operational excellence,and you want to help define how scaled CS works in practice,this is your role.

Key Responsibilities:

• Drive broad product adoption, with special focus on Fin and AI-powered features: helping customers understand how Fin can automate support, enhance service, and deliver self-serve experiences, alongside human support.

• Design, implement, and iterate on engagement strategies and playbooks that can scale across customer segments,leveraging technology, automation, digital content, and smart touchpoints.

• Own implementation and onboarding conversations for your customers, ensuring they are being set up for success from Day 1.

• Monitor usage & health signals proactively,identifying risks, opportunities, and expansion paths; drive intervention where needed.

• Collaborate closely with Sales, Solution Engineering, Education, and Product to ensure a seamless customer journey from purchase through expansion.

• Act as the Voice of the Customer: feed insights from scaled engagements back into the product roadmap, feature improvements, messaging, and internal training.

• Help define what 'Scaled CS' means here: you'll be a builder,defining processes, tools, metrics, and models for what high volume, high value looks like.

What You'll Need:

• 2–4+ years in a customer-facing role in SaaS / technology / product success or similar, with a track record of managing many customers or high-volume engagement.

• Strong interest in / experience with AI & automation support tools; ability to explain AI/Fin features and use cases to customers, and help them build workflows around them.

• Comfortable discussing technical topics such as APIs, integrations, and workflows,not an expert, but confident engaging with customers on technical questions and guiding them to resources.

• Excellent communication skills: can break down complex product and technical topics clearly for different audiences (executives, operations, support leaders).

• Data-driven mindset: able to monitor usage metrics, define success metrics, analyse what is / isn’t working, and adapt strategy based on results.

• Self-starter, entrepreneurial, comfortable in ambiguity; able to build processes from scratch and consistently improve them.

• Strong relationship builder: you can maintain trust even with many customers, manage expectations, and partner with internal stakeholders.

Bonus Skills & Attributes:

• Interest in consumption or usage-based SaaS models.

• Exposure to Generative AI, chatbots, virtual agents, or AI-assisted support tools.

• Experience in operations, scaling CS / onboarding / customer education / digital engagement programs.

Benefits:

We are a well-treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us!

• Competitive salary and meaningful equity

• Comprehensive medical, dental, and vision coverage

• Regular compensation reviews - great work is rewarded!

• Unlimited access to Claude Code and best-in-class AI tools; experimentation & building is encouraged & celebrated.

• Flexible paid time off policy

• Paid Parental Leave Program

• 401k plan & match

• In-office bicycle storage

• Fun events for Intercomrades, friends, and family!

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As an Engineering Manager, you will:

Manage the engineering team and drive technical delivery. Design, build, and optimize backend services for advanced AI-driven applications, focusing on AI agents, evaluation tooling, and automation. Comfortable working cross functionally, whether that be internal or external customers. Work across the entire product lifecycle from conceptualization through production. Build features end-to-end, system design, debugging and testing. Deliver experiments at a high velocity and level of quality to engage our customers. Influence the culture, values, and processes of a growing engineering team. Inspire and mentor engineers. Collaborating with cross-functional teams to define, design, and ship new product features and experiences.

Ideally, you'd have: At least 5 years of relevant experience and at least 2 years of experience managing back engineers is preferred. Proven success in leading, managing, and developing high-performing Engineering teams. Expertise in identifying product engagement patterns and trends for large scale consumer products. Track record of shipping high-quality products and features at scale. Desire to work in a very fast-paced environment. Ability to turn business and product ideas into engineering solutions. Excellent problem-solving skills, and be able to work independently or as part of a team.

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Identity is the key to unlocking the potential of AI. Auth0 secures AI by building the trusted, neutral infrastructure that enables organisations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

Software Architect, Identity

The Engineering Architect Team

The Architecture team is a small group of very senior engineers reporting to our VP of Engineering Excellence, working broadly across the organisation in collaboration with Engineering, Product, and Security. We partner deeply with other Engineering teams for large projects, and provide direction and architectural guidance for smaller initiatives. We have a dual-pronged charter to “level up the tech stack and level up the people stack” via both technical contributions and partnerships/mentoring.

In this role, you will have the opportunity to significantly contribute to Auth0’s future technology direction. Through your experience, knowledge of industry trends, and technical abilities you will provide guidance, build proof of concepts, and deliver production software implementations that help Auth0 Engineering teams move faster by using and developing standard patterns and technologies. You will also help advance the engineering culture and help uplevel other engineers. Note that while this role involves a lot of guidance, documentation, and leadership, it also requires substantial hands-on coding and development of both applications and systems.

What you’ll be doing

• Collaborate with Product, Security, and Engineering teams to define and continually improve Auth0’s technology stack and architecture.

• Foster and lead innovation in the IAM space, with a strong focus on Agentic Identity

• Lead initiatives to enhance, scale, and evolve Auth0’s product offerings.

• Embed within Engineering teams across the organisation for large projects, while providing guidance and lighter touch engagements for smaller initiatives.

• Design, architect, and document large scale distributed systems.

• Lead the development of complex, broadly-scoped functionality in a very large and deep set of services and components.

• Teach by doing: coding, optimising, and troubleshooting Node.js and Go applications in collaboration with feature development teams.

• Implement features and create consistent foundations using technologies such as AWS, Azure, Node.js, Go, MongoDB, Redis, PostgreSQL, Kubernetes.

• Investigate, understand, and resolve bottlenecks in our ability to scale, use resources efficiently, and maintain a 99.99% uptime SLA.

• Drive technical decision making while striving to find the right balance between factors such as simplicity, flexibility, reliability, cost, and performance.

• Participate in “round table” discussions and mentor team members and engineers throughout the organisation to level up our people.

• Participate in our Engineering Leadership Team with other architects, directors, and executives.

• You will join our Incident Commander on-call rotation. Members of our team do periodic on-call rotation for high-severity incidents to help up-level our responses After spending time getting acquainted with our applications, systems, and processes, and getting training to

What you’ll bring to the role

• 10+ years of software development experience.

• 5+ years of experience working on cloud applications.

• Experience with API-first applications using REST and/or gRPC

• Passion and thorough understanding of what it takes to build and operate secure, reliable systems at scale.

• Knowledge of Identity Protocols such as OAuth, OIDC and SAML.

• Industry knowledge of the Authorization and Authentication spaces.

• Experience in building AI Agents, and/or MCP servers applications.

• Experience with security engineering and application security.

• Very strong written and verbal communication skills with a demonstrated ability to adjust your communication style to the intended audience, whether communicating with senior executives, customers, engineers, or product managers.

• Mastery and deep understanding of hands-on software development building distributed systems.

• Experience with multi-cloud environments and container deployments, particularly Kubernetes in AWS/Azure.

• Prior experience with application performance management, tracing, and performance testing tools.

• Excellence at creating clarity and alignment for technical initiatives.

• Great ability to build trust through collaboration with multiple teams and get consensus on a vision.

• Knowledge of application security and cloud security best practices.

And extra credit if you have experience in any of the following!

• Deep experience in Node.js (Javascript or Typescript), or Golang.

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At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially.

We're the only company offering three integrated solutions for frontier AI development:

Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale

Frontier Data Labeling Service: Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models

Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling

Why Join Us

High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions.

Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence.

Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution.

Continuous Growth: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI.

Clear Ownership: You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics.

The role

We’re hiring a Forward Deployed Engineering Manager to lead the design, development, and delivery of reinforcement learning environments for agentic AI systems.

You’ll manage a team responsible for building sandboxed, reproducible environments,terminal-based workflows, browser automation, and computer-use simulations,that power both model training and human-in-the-loop evaluation. This is a hands-on leadership role where you’ll set technical direction, guide execution, and stay close to architecture and critical systems.

What You’ll Do

Lead, hire, and develop a high-performing team of Forward Deployed Engineers, setting a high bar for ownership, velocity, and technical quality

Own the RL environment roadmap, aligning team execution with customer needs and evolving model capabilities

Oversee development of sandboxed environments (terminal, browser, tool-augmented workspaces) that support deterministic execution and multi-step agent interaction

Ensure reliability, observability, and data integrity through strong instrumentation (logging, trajectory capture, state snapshotting)

Drive infrastructure excellence across containerization, sandboxing, CI/CD, automated testing, and monitoring

Partner cross-functionally with data operations, product, and leading AI labs to define task design, evaluation protocols, and environment requirements

Enable rapid prototyping and iteration, helping the team move from ambiguous requirements to production-ready systems quickly

Stay close to the technical details,reviewing architecture, unblocking complex issues, and guiding design decisions

What We’re Looking For

5+ years of software engineering experience (Python)

2+ years of experience managing or leading engineers in fast-paced environments

Strong experience with containerization and sandboxing (Docker, Firecracker, or similar)

Solid understanding of reinforcement learning fundamentals (MDPs, reward design, episode structure, observation/action spaces)

Background in infrastructure, developer tooling, or distributed systems

Strong debugging skills and systems thinking across layered, containerized environments

Ability to operate in ambiguity and translate loosely defined problems into clear execution plans

Excellent communication and stakeholder management skills

Preferred

Experience building or working with RL environments (Gym, PettingZoo) or agent benchmarks (SWE-bench, WebArena, OSWorld, TerminalBench)

Familiarity with cloud infrastructure (GCP or AWS)

Prior experience in AI/ML platforms, data companies, or research environments

Contributions to open-source projects in RL, agents, or developer tooling

Why This Role Matters

RL environment quality is a critical bottleneck in advancing agentic AI. Poorly designed or unreliable environments introduce noise into training loops and directly impact model performance.

In this role, you’ll lead the team building the environments that define how models learn,working across a range of cutting-edge projects with leading AI labs. Alignerr offers the speed and ownership of a startup with the scale and resources of Labelbox, giving you the opportunity to have outsized impact on the future of AI.

About Alignerr

Alignerr is Labelbox’s human data organization, powering next-generation AI through high-quality training data, reinforcement learning environments, and evaluation systems. We partner directly with leading AI labs to build the data and infrastructure that push model capabilities forward.

Life at Labelbox

Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland

Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility

Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making

Growth: Career advancement opportunities directly tied to your impact

Vision: Be part of building the foundation for humanity's most transformative technology

Our Vision

We believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs.

Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs.

Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.

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At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world's largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.

We protect and accelerate any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks.

About the Internship Program

As a Business Operations intern on the Finance BizOps Team, you will:

• Build workflows to streamline existing processes and address existing pain points. You will lead the project scoping, solution design and code execution to achieve the defined objectives.
• Design, build, and support data or insight solutions that help incubate new data capabilities or programs. Example projects: commission forecast modelling, product margin analysis
• Create applications and internal tools that can be used by the broader FP&A and BizOps team to elevate everyone's game
• Prototype leveraging latest AI technologies incl. Cloudflare Platform, emerging best practices to illustrate what can be possible in how we work
• Work in sprints to achieve critical milestones and update your progress through daily asynchronous updates.

Requirements

• Currently pursuing a Bachelor's or Master's or program in Business Analytics, Data Science, Computer Science, or a related field.
• Passionate about solving business problems or challenges using technology
• Are curious, proactive, and self-directed, have a natural drive to explore new technologies and a 'figure it out' mindset.
• Can write working code in Python, JavaScript, or a similar language and have shipped something independently or as part of hackathon project, open source contribution, or a previous internship
• Communication: Ability to distill complex business or technical requirements into clear actionable insights. Can explain what you built and why, to a technical or non-technical audience.
• Technical Curiosity: Experience using LLM interfaces (such as Gemini) and prompt engineering, paired with a strong interest in the emerging field of AI agents.
• Nice to have: Have used any part of the Cloudflare developer platform: Workers, R2, Pages, or anything similar.
• Ability to commit to a minimum 12 week summer internship from May to August 2026.
• In office 2-3 days a week

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You will play an active part in shaping product features based on what's technically possible. Furthermore, you will make sure our company hits our ambitious goals from an engineering standpoint.

You bring a passion for meeting business needs while building technically innovative solutions, and excel at shifting between the two,understanding how big-picture goals inform technical details, and vice-versa.

You thrive in a fast-paced iterative engineering environment.

Examples of desirable skills, knowledge and experience:

• A minimum of 3 years experience in software development, with a strong focus on JavaScript, TypeScript and React;
• Bachelor's degree in Computer Science, Engineering, or a related field;
• Experience with frontend frameworks and tooling;
• Good understanding of HTML, CSS and how to work with product design teams;
• Good understanding of how browsers work and their underlying technologies;
• Solid understanding of systems engineering principles and best practices;
• Experience with version control systems such as Git;
• Strong problem-solving skills and attention to detail;
• Excellent communication and interpersonal skills, with the ability to work effectively in a team environment;
• Passion for learning and exploring new technologies;
• Creative thinker with the ability to propose innovative solutions to complex problems;
• An operational mindset - we don't just write code, we also own it in production;

Bonus Points:

• Previous experience working in an Agile environment;
• Experience building high performance distributed systems;
• Understanding of the web and its underlying protocol stack, such as HTTP;
• Familiar with AI, AI agents, and related technologies and standards;
• Contributions to large open source projects.

This role may require flexibility to be on-call outside of standard working hours to address technical issues as needed.

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The Head of Financial Systems will own the strategy, implementation, and continuous improvement of Scale AI's finance technology stack.

You are a builder-first leader who blends enterprise architecture with AI automation - eliminating manual workflows, tightening the financial data fabric, and enabling the Finance team to move with the speed and rigor the business demands.

You will be the primary technology partner to the Finance leadership team, and the person ultimately accountable for the reliability, scalability, and intelligence of every system that touches the financial close, revenue, and spend lifecycle.

Key Responsibilities

ERP Ownership & Optimization

Own the full lifecycle of our ERP environment (NetSuite or equivalent), including architecture, configuration, integrations, and roadmap.

Ensure the platform reliably supports the General Ledger, AP, AR, Procure-to-Pay, Fixed Assets, Revenue Recognition, Sales Audit, and International Consolidations & Reporting.

Order-to-Cash & Procure-to-Pay

Drive end-to-end process excellence across Order-to-Cash (Sales/Revenue Capture, Sales Audit, Billing) and Procure-to-Pay (Direct & Indirect Purchasing).

Identify gaps between upstream systems and ERP, and close them through disciplined integration design.

AI Agent Deployment

Identify opportunities to replace manual finance workflows with AI/LLM-powered agents.

Build and manage internal agents that automate forecasting inputs, variance analysis, close task management, and reconciliation , reducing cycle time and surfacing actionable insights for Finance leadership.

Systems Integration & Data Architecture

Design scalable data flows and APIs that connect the ERP to adjacent finance tools (billing, expense, FP&A, treasury) into a cohesive, auditable ecosystem.

Ensure clean, governed data movement from source systems to the general ledger and reporting layer.

Operational Excellence & Controls

Establish disciplined change management, clear data governance, and measurable SLAs across all financial systems.

Stabilize environments to support audit readiness, SOX compliance, and regulatory requirements.

Finance Stakeholder Partnership

Serve as the primary technology partner to the CFO, Controller, FP&A, and Accounting teams.

Translate complex technical constraints into business outcomes and align system roadmaps with Finance's strategic priorities.

Team Leadership

Build and lead a high-impact Finance Systems team.

Foster a culture of curiosity, speed, and user-centricity , where the team is as proud of a clean reconciliation workflow as any external product shipped.

What You'll Bring

• 8+ years of experience leading finance systems or enterprise application functions in a fast-paced, high-growth environment

• Deep, hands-on knowledge of ERP platforms (NetSuite strongly preferred) across core modules: GL, AP, AR, Fixed Assets, Revenue Recognition, Procure-to-Pay, Sales Audit, and International Consolidations

• Strong understanding of Order-to-Cash and Procure-to-Pay process design, including the touchpoints between upstream sales/procurement systems and the ERP

• Strong understanding of Sox IT General controls and track record implementing them

• Proven track record designing and deploying AI/LLM-powered workflows or agentic systems to improve Finance team efficiency

• Ability to design and govern scalable integrations and data flows across SaaS tools

• Experience influencing Finance leadership, translating technical complexity into clear business decisions

• Proficiency in an iPaaS platform (e.g., Workato, Mulesoft, Boomi, etc.)

• Workato Certification is a big plus

• Proficiency in Python or SQL to personally prototype, audit, and quality-check automation logic

• Familiarity with adjacent Finance tooling: expense management, FP&A platforms, billing systems, and treasury tools

Compensation

Compensation packages at Scale for eligible roles include base salary, equity, and benefits.

The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

Scale employees in eligible roles are also granted equity-based compensation, subject to Board of Director approval.

Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant.

You’ll also receive benefits including, but not limited to:

• Comprehensive health, dental, and vision coverage

• Retirement benefits

• A learning and development stipend

• Generous PTO

Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Base Salary Range

The base salary range for this full-time position in the location of San Francisco is $198,400-$248,000 USD

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This position will be hybrid, based in our Bengaluru office (HSR Layout), as part of our expanding site. EarnIn offers our employees excellent benefits, including healthcare, internet/cell phone reimbursement, a learning and development stipend, and opportunities to travel to our Mountain View HQ.

Responsibilities

• AI-Agent Development: Design, build, and iterate on AI agents that automate platform operations, from service and infra bootstrap, intelligent incident diagnosis, automated runbook execution, to self-healing infrastructure and PR-review bots. Own the agent lifecycle: prompt engineering, tool/function-call orchestration, evaluation, and production monitoring.

• Workflow Automation with AI: Identify and eliminate repetitive human-in-the-loop workflows across CI/CD, environment management, access provisioning, and change management.

• Kubernetes Infrastructure: Support our Kubernetes platform on AWS EKS, with a focus on environment hygiene and security; execute cluster-level tasks and updates with minimal support, and leverage AI for anomaly detection, capacity recommendations, and automated remediation.

• Developer Experience: Utilize our developer control plane (Cortex) to maintain paved paths and self-service actions, helping teams move from idea to production with minimal friction.

• Observability & Excellence: Strengthen operational excellence by monitoring SLOs/error budgets and utilizing Datadog for metrics, traces, and logs to improve system reliability.

• Platform Development: Develop platform services using industry best practices that enable operational excellence for Data, CI/CD, and Security.

• Service Standardization: Maintain service scaffolds and templates that encode testing and telemetry standards, ensure alignment with platform baselines, and use AI to auto-generate and validate configurations against them.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

• 3+ years in platform, infrastructure, or backend engineering with deep knowledge of Kubernetes (EKS) and cloud-native architectures on AWS.

• Demonstrated experience building AI agents or agentic workflows, not just using Copilot or ChatGPT, but designing multi-step AI systems that autonomously perform operational tasks (e.g., LLM-powered runbook agents, intelligent CI/CD bots, self-service assistants with tool-use/function-calling).

• Track record of automating away repetitive workflows with AI. You should be able to point to specific examples where you replaced manual processes with AI-driven automation that let a team do more with fewer resources.

• Experience in GitOps (ArgoCD) and CI (GitHub Actions) for multi-service systems.

• Strong coding skills in Go and/or Python, treating infrastructure as software.

• Excellent communication skills; able to clearly convey technical issues and advocate for both the team's and the customer's needs.

• Experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, CrewAI, or custom agent architectures) and prompt engineering for production systems.

• Mission-Driven: A strong advocate for the customer who takes initiative to fix issues and constantly asks, 'can an AI agent do this instead of a human?'

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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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You'll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward.

Some of the key responsibilities of this role include:

• Forming successful relationships with clients throughout your assigned territory to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect.
• Gaining excitement from clients about Databricks through hands-on evaluation and Spark programming, integrating with the wider cloud ecosystem and 3rd party applications.
• Contributing to building the Databricks technical community through engagement at workshops, seminars, and meet-ups.
• Becoming a Big Data Analytics advisor on aspects of architecture and design.
• Supporting your customers by authoring reference architectures, how-tos, and demo applications.

We're looking for someone with a strong aptitude and familiarity working with clients, creating a narrative, aligning the agenda based on business priorities, and achieving tangible outcomes. Experience in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences, requiring an ability to context switch in levels of technical depth, is also essential.

Some of the key requirements for this role include:

• Strong knowledge of Big Data Analytics and experience with cloud platforms (e.g., Databricks, AWS, Microsoft, GCP, or other relevant platforms).
• Proficiency with Artificial Intelligence, AI Agents, and Big Data Analytics technologies, including hands-on expertise with sophisticated proofs-of-concept and public cloud platform(s).
• Experience diving deeper into solution architecture and Data Engineering.
• Coding expertise in a core programming language (i.e., Python, Java, Scala).
• A foundational understanding of Apache Spark architecture is preferable; hands-on skills will be advantageous for the role.

This will be an office-based contract (Amsterdam), with a hybrid schedule. An initial 12-month fixed-term contract is to be offered, with the expectation of extending/converting to FTE upon successful completion of the probation period.

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The Technical Program Management team shapes and accelerates the delivery of Google DeepMind's highest priorities. As a Senior Technical Program Manager focused on Gemini's personalization efforts, you will define the strategic vision and orchestrate the execution of our most ambitious personal intelligence capabilities.

Key Responsibilities:

• Architect, scope, and lead complex technical programs for model development at an organizational level, defining best practices for delivering frontier research to production.

• Direct and align vast cross-functional organizations working on personal intelligence to advance the state-of-the-art research in this domain. Act as a trusted advisor to senior executive leadership.

• Proactively identify and resolve systemic risks, dependencies, and changing circumstances across multiple product surfaces, implementing scalable, long-term solutions.

• Apply deep technical intuition to identify and execute pragmatic solutions, directly unblocking novel modeling techniques and resolving high-level technical architecture disputes.

• Define program management methodologies and governance models for the broader organization, driving operational excellence across multiple teams and product areas.

About You:

To set you up for success as a Technical Program Manager at Google DeepMind, we look for the following skills and experience:

• 12+ years of experience leading organizational-level technical programs, with a strong track record of successful program delivery at massive scale.

• Expert-level technical background, with deep AI knowledge and extensive experience in the development of foundational models and their integration into global products.

• Exceptional executive presence and stakeholder management skills, paired with meticulous organization and attention to detail. You excel at building trust, navigating complex organizational dynamics, and synthesizing highly complex technical strategies to act as a trusted advisor to executive leadership.

• Exceptional leadership capabilities, with a proven ability to take full ownership of sweeping organizational initiatives, drive cross-PA alignment, and overhaul governance models across vast engineering and research teams.

• Proven ability to navigate highly ambiguous, ever-evolving environments, demonstrating leadership and resourcefulness in resolving systemic challenges.

• Passionate about AGI and deeply curious about emerging technologies. You are a hands-on practitioner who actively utilizes the latest AI tools, agents, and coding assistants to accelerate workflows and drive operational excellence.

US base salary range for this full-time position is between $240,000 USD - $334,000 USD + bonus + equity + benefits.

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You'll partner with a small, senior Rust-first team to ship reliable graph capabilities and make them easy for other teams and agents to use. The Knowledge Graph service is a distributed SDLC indexing system. It builds a property graph from GitLab SDLC (software development lifecycle) and code data using ClickHouse, NATS JetStream, and the Data Insights Platform. It also exposes secure graph queries and MCP tools for AI agents and product features.

In this role, you'll own core parts of the system end to end: shaping the architecture, hardening multi-tenant behavior and performance, and making it straightforward for other teams and agents to consume graph capabilities. In your first year, you'll take clear ownership of major areas of the service (for example, the graph query engine, SDLC indexing, or multi-tenant authorization), reduce single points of failure through better runbooks and shared context, and raise the bar on how we design, build, and operate analytical services across the stack.

Key responsibilities include:

• Leading the design and evolution of core Knowledge Graph services in a production Rust codebase, including the graph query engine, SDLC and code indexing pipelines, and API/MCP surfaces that other GitLab teams and AI agents rely on.

• Owning complex, cross-cutting initiatives that span GitLab Rails, the Data Insights Platform (Siphon, NATS, ClickHouse), and GitLab Duo Agent Platform, from technical direction and design docs through implementation, rollout, and iteration.

• Driving system design decisions that improve reliability, scalability, and maintainability for analytical (OLAP-style) graph workloads. This includes multi-hop traversals, aggregations, and multi-tenant isolation. Document trade-offs so the broader team can move quickly and stay aligned.

• Defining and improving operational maturity for the service, including service level objectives (SLOs), observability, runbooks, incident response, capacity planning, and production readiness (PREP) for GitLab.com, Dedicated, and Self-Managed deployments.

• Collaborating asynchronously with product, data, infrastructure, security, and AI teams to sequence work, unblock platform-level dependencies, and land features in a way that is safe for customers and sustainable for the team.

• Applying AI-assisted development workflows responsibly (for example, using MCP-aware tools, Knowledge Graph-backed agents, and internal Duo tooling) and help establish practical norms for how the team uses AI while maintaining strong engineering judgment.

• Mentoring and supporting other engineers through pairing, technical design reviews, and knowledge-sharing, reinforcing shared ownership of the system and its operational sustainability.

• Contributing across the stack when needed, including occasional Ruby (Rails integration and authorization paths) or frontend work (for example, the Software Architecture Map UI) to close gaps and keep delivery moving.

This role requires significant experience building and operating production backend systems, with a track record of owning reliability, maintainability, and on-call readiness for services that support other product teams or platforms. Strong engineering skills in Rust or clear evidence you can ramp quickly and deliver in a Rust-first, performance-sensitive backend codebase are essential. Additionally, strong system design skills, including making and explaining clear architectural decisions, documenting constraints, and aligning trade-offs with product and platform needs, are necessary.

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The ideal candidate will have deep knowledge of current privacy and technology trends, with a strong passion for data governance/management and AI/ML. They will have demonstrated experience in ensuring privacy-by-design principles are applied throughout the design, construction, and operation of digital products and services at scale.

Responsibilities include leading high-impact initiatives and defining technical requirements for compliance and the responsible use of technology at Airbnb. The candidate will work closely with the Chief Privacy Officer, Legal, and other Privacy & Data Security Team members, as well as engineering and data science teams.

Key responsibilities include:

• Collaborating with technical teams in the identification and effective management of company-wide risks to privacy and the responsible use of technology
• Leading definition and implementation of company-wide standards, practices, and patterns to protect and manage personal data in accordance with privacy and AI regulations
• Working with Legal, Data Science, Data Governance, and InfoSec to introduce Privacy by Design principles in company products and infrastructure
• Creating privacy training for technical roles, including data engineers, developers, and data scientists

Requirements include:

• 15+ years of total experience, with 5+ years of experience in technical program/project management or privacy engineering focused on building technology products and/or systems
• Deep understanding of large-scale, “Big Data” data stores and technologies
• Strong familiarity with the AI/ML development lifecycle: from data collection and curation, through model architecture selection, training, testing, A/B testing, and deployment
• Solid understanding of Large Language Models (LLMs), Generative AI and AI Agents, including compliance and responsible use challenges arising from their deployment in B2C services
• Strong familiarity with Privacy Enhancing Technologies (PETs), such as various types of encryption, de-identification methods (e.g., k-anonymity, differential privacy), and AI/ML interpretability techniques (e.g., SHAP, LIME)

Preferred qualifications include:

• Professional certifications such as Certified Information Privacy Professional (CIPP), Certified Information Privacy Manager (CIPM), or AI Governance Professional (AIGP) or equivalent
• BA/BS and/or advanced degree in engineering, computer science, mathematics, statistics, physics, or a related field
• Experience with programming languages and tools commonly used in AI, such as R, Python and Github

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

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Marketing Operations Manager, Americas

About the Role

We are looking for a Marketing Operations Program Manager to own and drive critical operational programs across campaign execution, prospect data management, and marketing process improvement.

This role sits at the intersection of marketing technology, data operations, and program management , and requires someone who can move fluidly between strategic planning and hands-on execution.

Responsibilities

• Embed within the regional marketing team to deeply understand and represent market nuances, and be the primary representative for Marketing Operations initiatives
• Serve as the process owner for campaign execution workflows across email, landing pages, and paid media, supporting Growth, Lifecycle, and Global Campaigns marketing teams
• Consult on best practices in Marketo, with a focus on automation, scalability, and operational design; design complex nurture and trigger campaigns and standardize them for broader use
• Lead programs to address recurring operational challenges; define objectives, success metrics, and build repeatable processes that scale
• Serve as a technical bridge between regional marketing, product, and engineering teams to scope business requirements, coordinate discovery, and translate operational needs into product requirements for internal tooling
• Drive regional performance transparency by analyzing pipeline health and marketing database trends; proactively identify and unblock operational friction through collaboration with cross-functional teams
• Accelerate review cycles, pilots, and feedback collection during program execution; summarize required changes, identify launch-blocking issues, and escalate risks as needed
• Drive ongoing improvements in marketing operations through process innovation, automation, and the adoption of AI-powered tools to increase productivity and transform workflows
• Maintain scalable documentation and support coordination with offshore production teams and cross-functional partners across time zones

Requirements

• 6+ years of experience in B2B marketing operations, campaign management, or a related program management role within a high-growth technology environment
• 3+ years of experience working day-to-day with marketing automation platforms, CRM platforms, prospect data, and lead management
• 3+ years of experience in end-to-end program management of cross-functional marketing, sales, and engineering initiatives
• Experience building AI agents, including examples of agents you have deployed and examples of ways you are using AI on a daily basis beyond chat
• 3+ years of experience doing your own analysis using queries, dashboards, and AI and partnering with analysts and data scientists for more complex analytics needs
• 3+ years of experience defining your own scope and goals and collaborating with a distributed, global team to deliver on them
• Excellent written and verbal communication skills, including the ability to convey complex operational concepts to diverse stakeholders across marketing, sales, and engineering

Preferred Qualifications

• Experience managing prospect or marketing database programs, including data enrichment, hygiene, and growth using first-party and third-party data sources
• 3+ years of experience with Salesforce, including lead and contact management, campaign attribution, and marketing-to-sales data flows
• 3+ years of experience with Marketo audience and campaign design and production
• Experience selecting and managing third-party data providers for B2B contact enrichment and prospecting
• Experience implementing AI tools to improve marketing operations workflows and productivity
• Experience working with global teams on a day-to-day basis
• Knowledge of data privacy and compliance frameworks as they relate to prospect data acquisition and marketing database management
• Experience in the financial services, payments, or B2B software industries

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This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

The Solutions Engineer Team

We believe Solutions Engineers at Okta are involved in all stages of the customer's digital transformation. Solutions Engineers are experienced in using presentations, email, phone, and social media to connect with customers virtually and in person. We are looking for great teammates who can build and deliver sales presentations and customised product demonstrations to educate Okta's Customers (from developers to product managers to C-level executives) on best practices throughout their cloud security technology journey.

We believe Okta's Solutions Engineers empathise with Customers and quickly discern their true technical needs by asking detailed, clarifying questions while presenting solutions that specifically address those needs. Okta Solution Engineers have the rare combination of technical acumen and business insight; in a career where you can utilise both.

As a Solutions Engineer at Okta, you will further develop each of these skills by advising a diverse set of customers on the value they will gain by using Okta's Identity Platform.

The Solutions Engineer Opportunity

Reporting to the Senior Manager, Solutions Engineers, this Senior Solutions Engineer (Okta) will partner with Commercial Account Executives. As a Senior Solutions Engineer at Okta, you will be the technical lead in all stages of the customer lifecycle. You will focus on delivering customer value by aligning customer requirements to business results enabled by Okta solutions. You will contribute to account and opportunity strategies and, collaboratively, demonstrate the value of Okta solutions through presentations, whiteboard sessions, and proof-of-concept demonstrations.

What You'll Do

As a Senior Solutions Engineer, you'll be a strategic technical expert for a customer-facing sales team. You'll use your skills to:

• Work alongside the Corporate/Expansion (employee size 300-1249) sales team as the technical and domain expert of a customer-facing sales team to help Customers understand the value of Okta's solutions

• Serve as a technical advisor: Partner with the sales team to educate customers on Okta's identity solutions and demonstrate their value.

• Solve customer challenges: Understand customer needs and provide tailored product demonstrations to show how our solutions can solve their business problems.

• Lead technical engagements: Answer product and technical questions, and plan and deliver complex Proofs of Concept (POCs) by collaborating with other Okta engineering teams.

• Drive product and knowledge growth: Share customer feedback with our product teams to influence future enhancements and contribute to the team's knowledge by sharing best practices and reusable assets.

• Stay ahead of the curve: Keep up with competitive analysis and market differentiation to better position Okta.

• Support company events: Represent Okta at marketing events, including conferences, user groups, and trade shows.

What You'll Bring

• Experience: 8+ years of experience in pre-sales engineering and solution selling, with a strong background in Enterprise account segments.

• Technical Acumen:

• Deep understanding of identity protocols (e.g., SAML, OIDC, OAuth, FIDO, Passkeys, SCIM, LDAP).

• Working knowledge of cloud platforms like AWS, Azure/Entra, and GCP.

• Experience with REST APIs and SDKs.

• Hands-on experience in one or more of the following: front-end web development, back-end development, scripting (Bash, PowerShell), or DevOps (Docker, Kubernetes).

• Understanding of identity-related cybersecurity topics (e.g., phishing, MFA bypass attacks, privilege escalation).

• Communication & Presentation Skills: The ability to simplify complex technical concepts and deliver compelling presentations to diverse audiences, from developers to C-level executives. You should be skilled at diagramming user journeys and complex architecture.

• Strategic Mindset: Proven skills in territory management, including building pipelines and collaborating with sales counterparts.

• Travel: Ability to travel up to 25% of the time.

• A bachelor's degree in Engineering, Computer Science, MIS, or a comparable field is preferred.

Bonus Skills (Ideally, You Have)

• Experience in the IAM space

• Hands-on knowledge of Identity Governance (IGA) or Privileged Access Management (PAM) solutions.

• Practical experience with Windows Server, Active Directory, LDAP, and Federation services.

You might also have (not mandatory):

• AI & Emerging Tech: Expertise with Agentic AI and LLM-based workflows. You understand the use cases for AI agents, both internal and external, and have familiarity with MCP servers.

#LI-Remote #LI-CM

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Auth0 secures AI by building the trusted, neutral infrastructure that enables organisations to safely embrace this new era.

We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

About Okta

Okta is the World’s Identity Company. We enable everyone to safely use any technology,anywhere, on any device or app. The Okta Platform and Auth0 Platform enable secure and flexible access, authentication, and automation, transforming people's experience in the digital world and putting Identity at the heart of business security and growth.

Job Description

As a member of the Okta Japan SE team, the Senior Solutions Engineer for the Auth0 Platform will serve as a key technical and business advisor to customers and partners. Leveraging a passion for technology and deep expertise, you will plan, propose, and demonstrate how Auth0 solutions solve critical business challenges for stakeholders ranging from field practitioners to C-level executives throughout the sales cycle. Consequently, you will directly contribute to achieving quarterly and annual sales targets in Japan.

Responsibilities

• Collaborate with the sales team and related departments to act as an authority on technology and the Identity Security domain, ensuring customers fully understand the value and potential of the Auth0 Platform.

• Communicate the value of implementing Auth0 solutions to customers in various positions (practitioners, managers, C-level) and earn their trust.

• Serve as a primary technical resource, confidently responding to product functionality questions and detailed technical inquiries from customers, partners, and internal Auth0 teams.

• Drive knowledge sharing by contributing to and utilizing best practices and reusable assets, proactively elevating the expertise and efficiency of the entire SE team.

• Support customer Proof of Concepts (PoCs) to technically demonstrate that implementing Auth0’s identity solutions will deliver value to the customer.

• Participate as a presenter and demonstrator in online or offline events aimed at evangelizing Auth0.

• Lead less experienced sales representatives and SEs, contributing to constructive performance improvement of the entire team through appropriate feedback.

Requirements

• Experience in customer-facing roles as a Pre-sales SE or Technical Sales.

• Ability to build and maintain strong relationships of trust with customer technical staff and leaders throughout the sales process.

• Native-level Japanese proficiency with excellent communication and reading comprehension skills.

• Ability to ask questions and express opinions in English via email, Slack, or one-on-one conversations.

• Joy in spreading industry-leading solutions that benefit society.

• Enjoyment in collaborating with Okta’s expanding partner community in Japan and working with Pre-sales Engineers around the world.

• A desire to become a top-tier Solutions Engineer by refining pre-sales skills, not just product and authentication technology knowledge.

And extra credit if you have experience in any of the following!

• Pre-sales experience in an organisation using sales methodologies such as SPIN, Solution Selling, or MEDDICC.

• Experience with Identity & Access Management (IAM), Single Sign-On (SSO), Security, or API-based solutions.

• Experience using at least one standard network security protocol (OAuth 2.0, OpenID Connect, SAML, LDAP, etc.).

• Knowledge/Experience with Cloud Platforms (AWS, GCP, Azure) and tools such as Kubernetes, Terraform, or Serverless environments.

• Hands-on development experience in one or more of the following areas: Web Development (JavaScript, HTML, Front-end frameworks), Mobile Development (iOS, Android), Backend Development (Java, C#, Node.js, Python, PHP, Ruby), or IP-based real-time communications.

• Knowledge of modern technologies such as Generative AI, Intelligent Agents, and Conversational Bots.

• Understanding of core application security (Password Hashing, SSL/TLS, EAR, XSS, XSRF).

• Experience speaking at technical conferences/webinars or writing technical blogs.

• Experience working as a software developer.

• Experience communicating and working with overseas engineers in English.

What you can expect as an Okta employee

• Benefits

• Social Impact (Okta for Good)

• Okta's People, Connections, and Community

Okta builds a dynamic work environment by providing the best tools, technology, and benefits so that employees can work productively in an environment that suits their needs. Each organisation has a unique way of working with flexibility and mobility so that every employee can be their most creative and successful self, regardless of where they live.

Find your place at Okta today!

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As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

To succeed on this team you will need to be curious, an excellent communicator, of a strong product mindset, be able to go from idea to implementation, and take ownership and pride in your work.

Propose, prototype, and deploy LLM-based agentic systems that help solve real-world problems, leveraging the latest state-of-the-art techniques in the field.

Work cross-functionally with different business lines across Anduril to help discover and scope new solutions.

Develop and maintain data pipelines, feature engineering workflows, and model-serving components that support applied AI use cases across the yard.

Learn and evangelize. You will be an expert on current AI technologies and trends (and their practical applications).

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

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In this role, you'll work closely with frontend engineers, Product, UX, and Security to create reliable, scalable systems that support both technical and non-technical users across GitLab's planning experience. As part of GitLab's AI-first culture, you'll also use the Duo Agent Platform in your daily workflow to improve productivity and support faster iteration.

Some examples of our projects:

• Building AI agents such as the planner agent to support planning and knowledge management workflows
• Architecting MCP integrations that expose GitLab GraphQL APIs to external AI tools and platforms

As a senior engineer, you'll lead backend architecture for Wiki, Pages, Markdown, and text editor capabilities used across GitLab. You'll design and build AI agents that support planning and knowledge management workflows. You'll also architect MCP integrations that connect GitLab GraphQL APIs with external AI platforms and tools.

Key responsibilities include:

• Leading backend architecture for Wiki, Pages, Markdown, and text editor capabilities used across GitLab
• Designing and building AI agents that support planning and knowledge management workflows
• Architecting MCP integrations that connect GitLab GraphQL APIs with external AI platforms and tools
• Driving improvements in reliability and performance across application code, PostgreSQL queries, Redis usage, and background jobs
• Developing and evolving GraphQL APIs that are clear for frontend engineers and support scalable product experiences
• Collaborating with frontend engineers, Product, UX, and Security to break down complex work into shippable iterations
• Mentoring engineers through code review, technical discussions, and shared backend best practices
• Supporting incident response and production debugging, then turning learnings into lasting system improvements

Requirements include:

• Strong experience building and maintaining backend applications with Ruby on Rails, including core components such as ActiveRecord and Redis
• Experience designing and supporting GraphQL APIs with attention to usability, maintainability, and performance
• Knowledge of PostgreSQL query design, optimization, and scaling in high-traffic production systems
• Experience building or integrating AI agents, intelligent workflows, or related platform capabilities
• Familiarity with Model Context Protocol (MCP) or similar patterns for connecting APIs to external tools and platforms
• Ability to investigate production issues, debug complex systems, and improve reliability over time
• Experience leading technical decisions, mentoring engineers, and contributing to engineering standards across a team
• Clear communication and cross-functional collaboration skills, with openness to candidates who bring transferable experience from adjacent backend or platform work

The Plan: Knowledge group owns core knowledge management experiences in GitLab, including Wiki, Pages, Markdown, and Text Editors, and is expanding those foundations with AI-powered capabilities such as the planner agent and MCP-based integrations. The team includes 6 engineers and works with a Product Manager, Engineering Manager, Product Designer, and Technical Writer.

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Senior Software Engineer, AI Products (India)

Company Overview

Airbnb is a global online marketplace for booking accommodations, with over 5 million hosts and 2 billion guest arrivals.

The Community You Will Join

The Airfam Products team exists to make every Airbnb employee more productive through a unified digital headquarters experience. As part of a 13-person cross-functional team of engineers, designers, researchers, and product managers, you'll work on platforms that serve Airbnb's entire global workforce. Our portfolio includes One Airbnb (the company's internal cultural hub with enterprise search, people profiles, and AI-powered chat), OneChat (Airbnb's enterprise AI assistant enabling secure LLM interactions), and a suite of tools that power how employees discover information, connect with colleagues, and get work done. You'll be joining the AI for Non-Developers workstream, focused on expanding AI productivity tools to all Airbnb employees,building OneChat Agents, deep research capabilities, artifact creation tools, and task automation that make AI accessible to everyone, regardless of technical background.

The Difference You Will Make

As a Senior Software Engineer on the Airfam Products team, you'll be instrumental in building Airbnb's next generation of AI-powered employee experience platforms. Your work will be a force multiplier for the entire company,every AI feature you ship, every system you architect, and every engineer you mentor will amplify productivity across Airbnb's global workforce. You will:

• Democratize AI by building tools that empower non-technical employees to leverage the power of LLMs
• Drive innovation by taking AI prototypes from concept to production at scale
• Shape the future of how Airbnb employees work, collaborate, and discover information

A Typical Day

• Lead the technical design and implementation of LLM-powered features for OneChat and enterprise AI tools, including RAG pipelines, AI agents, and prompt optimization
• Partner with product managers, designers, and cross-functional teams to translate user problems into AI-powered solutions that serve Airbnb's global workforce
• Develop and iterate on agentic AI capabilities, including multi-step reasoning, tool use, and context-aware decision-making
• Implement evaluation pipelines and quality systems to measure model performance, detect hallucinations, and ensure responsible AI practices
• Own production AI systems end-to-end, including deployment strategies, monitoring, alerting, and incident response
• Collaborate with the DevAI team on AirChat SDK integrations, MCP (Model Context Protocol) implementations, and Glean Action Packs
• Mentor engineers (L6-L8) through design reviews, architecture discussions, and pair programming sessions
• Stay current with the rapidly evolving GenAI landscape, evaluating new models and techniques for potential application
• Balance hands-on technical contributions with technical leadership activities

Your Expertise

• 8+ years of software engineering experience, with significant focus on building production AI/ML systems
• 2+ years of hands-on experience with Large Language Models (LLMs), including fine-tuning, prompt engineering, embeddings, and retrieval-augmented generation (RAG)
• Strong proficiency in backend technologies (TypeScript, Go, or Java)
• Strong backend and distributed systems expertise, including API design (REST, GraphQL) and cloud infrastructure (AWS, GCP, or Azure)
• Track record of shipping AI-powered products from prototype to production
• Proven ability to collaborate cross-functionally and influence without authority
• Excellent communication skills with ability to distill complex technical concepts for diverse audiences
• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience

Preferred

• Master's or PhD in Computer Science, Machine Learning, or related field
• Experience building AI agents and multi-agent systems, preferably using Claude
• Experience building integrations using MCP
• Experience with containerization and orchestration (Docker, Kubernetes)
• Background in building enterprise-grade internal tools and developer productivity platforms
• Experience with frontend technologies (React, Next.js) for full-stack AI product development
• Contributions to open-source Gen AI/ML projects or publications at top venues

Your Location

This position is based in Bangalore, India with a hybrid work arrangement. You'll collaborate with teammates across global time zones, with primary alignment to Pacific Time for key meetings.

Our Commitment to Inclusion & Belonging

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

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Okta secures AI by building the trusted, neutral infrastructure that enables organisations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes.

We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

The Solutions Engineering Team

This is a customer-facing sales role. You must be in the USA. You will be required to travel at least 25% and attend an in-person onboarding session.

The Global Presales organisation at Okta brings together a diverse group of experts, including Solutions Engineers, the Office of the Field CTO, Alliances, Architects, and more, who combine deep technical expertise with strategic business insight. This team serves as trusted advisors to a wide range of customers and partners, helping them unlock the full potential of Okta's Identity Platform.

By asking insightful questions, understanding complex challenges, and delivering tailored solutions, we empower organisations to address their unique identity needs. Empathy, collaboration, and a relentless focus on customer success drive our work and set us apart.

The Senior Identity Specialist Opportunity

Reporting to the Senior Manager, Solutions Engineering, as a Senior Identity Specialist, you will be part of the presales team that delivers sales presentations and product demonstrations. You will educate customers on the best ways to implement Okta customer identity and access management solutions.

What you'll be doing:

Strategic Customer Engagement:

*Support strategic customer conversations aligning with technical and engineering leaders and stakeholders.

*Deliver on emerging trends, industry best practices, and identity-driven digital transformation.

*Assist in preparing executive-level messaging and participate in strategic discussions to align Okta's solutions with customer business outcomes.

*Develop customer-centric points of view that translate Okta's solutions to customer problems.

*Lead deep technical Q&A discovery sessions for prospective customers to uncover their business requirements and communicate the value of solving for those requirements with Okta CIAM solutions.

*Deliver interactive presentations and custom product demonstrations, tailoring communication to all levels of technical and customer identity expertise.

*Whiteboard solution architecture, modelling how Okta's CIAM solution will support their business requirements

*Design, build, and execute well-defined, outcome-focused POCs

*Maintain a broad and deep technical understanding of the Okta customer identity product lines and the underlying technologies and protocols

*Craft engaging solution content to position Okta's value across multiple business units, including software engineering, operations, product management, and business stakeholders

Technical Leadership:

*Provide strategic and technical guidance to Solutions Engineering teams across both the Okta and Auth0 identity platforms.

*Collaborate with the Global Office of Field CTO office team to deliver actionable insights from the field, validate customer needs, and identify recurring trends for the Okta Product & Engineering teams.

*Deliver impactful keynote presentations, webinars, and technical sessions at industry and customer events.

Field Enablement and Collaboration:

*Contribute to frameworks, tools, and content to support Solutions Engineering teams in executing effectively.

*Partner with sales leadership to identify and address critical business opportunities and challenges.

*Drive cross-functional collaboration to ensure seamless execution of global initiatives.

*Innovate in tools and techniques to drive excellence and momentum

*Partner with Enablement and Field CTO teams to drive regional events and align product messaging for regional GTM and SE teams.

Market Influence:

*Represent Okta as a thought leader in the identity and security space.

*Influence industry standards and participate in relevant technical advisory boards.

Innovation and Strategy:

*Partner closely with OFCTO teams as an advocate for customer-driven innovation, market trends, and GTM insights to provide input to influence product teams.

*Support, derive, and champion strategic initiatives that enhance Okta's differentiation and business impact.

What You'll Bring to the Role

*8+ years of experience in a presales or customer-facing role, including at least 3 years experience with CIAM projects

*8+ years of development experience, preferably focused on application integration with identity services

*8+ years of experience working with REST APIs and SDKs

*Experience with customer identity and access management solutions (Okta/Auth0)

*Experience with authentication or authorization protocols (OAuth, OIDC, SAML)

*Ability to communicate complex ideas and solutions, incorporating whiteboarding, practical examples, and product demonstrations

*Demonstrated ability to solve complex technical problems with innovative solutions

*Strong communication and presentation skills, with experience contributing to technical events.

*Ability to effectively operate in a matrixed organisation and manage cross-functional initiatives.

*Travel expectation: up to 40% for customer meetings, industry events, and internal off-sites.

*This is a remote position.

And extra credit if you have experience in any of the following!

*Full-stack web application development experience (frontend and backend)

*Mobile (iOS, Android) development

*Demonstrated ability to architect and integrate scalable CIAM solutions, leveraging API-first approaches across web, mobile, and cloud platforms.

*Expertise in AI-driven customer experience integration with Auth0, including AI agents for internal or external use-cases, MCP servers, and Fine-Grained Authorization

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Responsibilities:

• Metrics & Insights: Wrangle large, highly complex datasets using SQL and AI to create actionable insights and become the data expert for your business area.
• Communicate: Create narratives and documents that tell the story of your business area to influence Operations and Enablement team decision making.
• Stakeholder management: Influence and drive cross-functional change by partnering with stakeholders across a wide internal network of globally distributed teams.
• Strategic Initiatives: Own end-to-end delivery of strategic, analytical projects that require scoping, defining metrics / success, and delivering reporting to track program health.
• Planning: Help support in goal setting, strategy and planning rhythms across partner teams.
• AI Enablement: Champion an AI-first way of working within the team , staying current with the latest AI tools (e.g., Claude, Agents), applying these to accelerate your own day-to-day work, and helping to develop and share standardised, safe AI query frameworks (SOT prompts) that the broader Operations organisation can adopt confidently

qualifications:

• 4+ years of prior experience in analytical and strategic roles
• Outstanding analytical ability, expert in SQL, dashboarding, and understanding of data relationships
• Outstanding communication, presentation skills & senior stakeholder management skills
• Expertise working cross-functionally and with globally distributed teams to drive business and operational goals using data
• Ability to connect the big picture to minute details, toggling between them to set and operationalize strategy

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Typical problems you will deal with include designing efficient and robust environments for AI agents, improving evaluations and observability, onboarding new evaluation datasets, standardizing preprocessing pipelines, and creating data augmentation pipelines.

Responsibilities include creating and maintaining frameworks for agent, data, and model evaluation tasks, building environments for AI agents, tools for automating common workflows, improving alerts, metrics, and error handling on large-scale RL jobs, refactoring existing frameworks for better modularity, and designing operation procedures and coding standards.

Basic qualifications include experience building and maintaining frameworks, building high-performance sandboxes, virtual machines, and simulations, building full-stack apps for automating workflows and data visualization, rapid iteration of research to production cycles, and test automation, CI/CD.

Base salary is $180,000 - $440,000 USD, and our total rewards package includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

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Key responsibilities include being a contact point for other teams within Elastic, fostering a culture of mutual respect, collaboration, and consensus-based decision-making, and being an awesome person to work with.

To be successful in this role, you will need to have a SRE background and experience operating large-scale production services with the help of Observability tools. You should be proficient in operating production infrastructure in K8s and at least one of the three major CSPs, as well as using Observability tools. You will also need to be able to use AI coding agents in the delivery workflow and have excellent verbal and written communication skills.

Bonus points will be given to those with experience as a user of the Elastic Stack.

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As a Staff Engineer, AI Security on the AppSec team, you'll lead autonomous defense for the AI lifecycle. Build multi-agent frameworks and secure gateways while integrating real-time security gates and identity standards. By mentoring Security and R&D to define the MLSecOps roadmap, you'll ensure a 'secure-by-default' future for agentic workflows and resilient AI innovation.

Responsibilities:

Serve as the primary subject matter expert for all AI and machine learning security initiatives across security and R&D.

Design and manage AI gateways to provide a centralized control plane for authentication and authorization and rate limiting across all model and tool interactions.

Build and maintain an autonomous security agentic framework that utilizes multi agent orchestration for end to end investigation and alert triage and remediation.

Develop agentic identity models using OAuth 2.1 to propagate identity across trust boundaries and prevent the confused deputy problem.

Help govern the AI augmented software development lifecycle by integrating real time security gates into the developer environment and CI/CD pipeline.

Manage Agentic Security Solutions that secure AI lifecycle and manage AI workloads at runtime.

Author company wide AI security standards and implement these security checks across Twilio's stack.

Implement human in the loop checkpoints and transactional safety protocols for high impact or destructive agentic actions.

Partner with engineering leadership to set the long term roadmap for identity centric security and automated posture management.

Act as a knowledge multiplier by mentoring security engineers and developing secure by default paved road templates for R&D teams

Qualifications:

8+ years of experience in security engineering with at least 3 years focused on AI or machine learning security operations (MLSecOps).

Expertise in orchestrating multi-agent systems with AWS Strands, LangGraph, and CrewAI, specializing in runtime isolation, PII redaction, and defending against indirect prompt injection in agentic environments.

Hands-on experience with AI-specific frameworks (e.g., MITRE ATLAS, MAESTRO, OWASP Top 10 for LLMs/Agents/MCP) to threat model and defend against a wide spectrum of risks, including direct/indirect prompt injection, training data poisoning, tool poisoning, and data exfiltration within agentic workflows.

Proficiency in securing end-to-end AI pipelines, from data ingestion and training to model deployment and monitoring.

Strong communication skills to translate complex AI risks into actionable business logic for stakeholders.

Desired:

Hands-on experience in modern application security tooling including SAST and SCA and DAST with experience adapting these tools to catch AI specific vulnerabilities like indirect prompt injection.

Expertise in identity standards including OAuth 2.1 and PKCE.

Experience with AI Red Teaming and conducting adversarial simulations against Large Language Models (LLMs) and agentic systems.

Proficiency in at least one general programming language (Python, Go, etc) with experience in container security and workload isolation.

Proven ability to operate with autonomy and drive high impact outcomes in ambiguous environments by identifying and executing on critical projects without predefined roadmaps or direct supervision.

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This role sits at the intersection of talent development, employee experience, and applied AI innovation. You will join our Talent and Leadership Development team to architect and scale flagship experiences that empower thousands of employees worldwide.

Our Team's Focus Areas

Our team is organized around four core pillars that support every stage of the employee and leadership journey:

• New Bricksters: We design and deliver a high-impact new hire orientation experience that ensures new joiners are engaged, connected to our culture, and equipped with the foundational knowledge needed to succeed.
• Leaders: We equip leaders at all levels with the skills, mindsets, and frameworks needed to accelerate performance. This includes our flagship annual leadership conference - Leadershift.
• High-Potential Talent: We run bespoke programs to support our high-potential talent to advance their careers and prepare them for wider leadership roles.
• All Bricksters (Career & Growth): We enable every Brickster to grow their career at Databricks through programs focused on career navigation and long-term growth.

The Impact You'll Have

• Own and scale one or more flagship talent development programs (e.g., career development, manager enablement, onboarding, or top talent acceleration).
• Design and implement AI-enabled learning experiences, including copilots, assistants, mentoring networks, and personalized learning pathways.
• Evolve programs from event-based learning to continuous, embedded development in the flow of work.
• Partner with HR, business leaders, and technical teams to translate business problems into scalable development solutions.
• Facilitate global programs across functions and regions (e.g., onboarding, leadership development).
• Build and experiment with new approaches to agentic learning , using AI agents, automation, and knowledge systems to support employees, managers, and leaders in real time.
• Leverage data, experimentation, and analytics to understand skills gaps, adoption, and business impact.
• Measure program effectiveness and continuously iterate using product and growth-mindset practices (pilots, testing, and iteration).

About You

• Bachelor’s degree (or equivalent experience) and 5+ years owning global learning, talent, or people programs in fast-paced or scaling organizations.
• Experience building scalable programs (onboarding, manager development, leadership development, or talent acceleration) , not just facilitating workshops.
• Strong systems thinker: you design processes and experiences that work for thousands of employees, not dozens.
• Demonstrated curiosity and practical use of AI tools (e.g., copilots, knowledge assistants, automation workflows, personalization, or analytics) to improve employee or learning experiences.
• Comfortable experimenting and prototyping new solutions with limited resources.
• Highly analytical: you use data to prioritize problems, evaluate effectiveness, and drive adoption.
• Strong stakeholder management and ability to influence senior leaders.
• Clear communicator who can translate business needs into practical, scalable development solutions.
• Experience in technology or high-growth environments strongly preferred.

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.

Zone 1 Pay Range: $156,600-$215,250 USD

Zone 2 Pay Range: $140,900-$193,700 USD

Zone 3 Pay Range: $133,000-$182,950 USD

Zone 4 Pay Range: $125,300-$172,250 USD

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Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organisations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

What is the Developer Led Growth (DLG) Team?

At the heart of our mission is a simple goal: to make choosing and integrating authentication a delightful experience for every developer.

We’re the DLG team, essentially Product Led Growth (PLG), but for developers using Auth0. We are a high-impact, multidisciplinary engine that includes Developer Relations, Developer Marketing, our Startup Program, Product Activation and Conversion. We don't just move metrics, we build the journey that turns curious developers into lifelong advocates.

Why This Role?

• Great Visibility: You will provide the analytical backbone for the entire DLG organisation, turning cross-functional data into a unified narrative.

• Autonomy: We trust you to own your domain. This isn't a role for a cog in the machine, you’ll have the freedom to identify opportunities and drive the strategy.

• True Variety: From analysing startup ecosystem trends to optimising conversion funnels, no two weeks will look the same.

• Deep Collaboration: You’ll sit at the intersection of product, marketing, and community, working with stakeholders across the entire company to fuel our growth.

If you’re a curious analyst who thrives in a fast-paced, developer first environment and wants to see their work directly influence how the world’s engineers build, we’d love to meet you.

Responsibilities

• Build and maintain Tableau dashboards and reports related to the DLG business

• Build and maintain DBT models and custom SQL queries to analyse DLG business

• Investigate and understand discrepancies in the data

• Help DLG automate and scale processes, find areas of opportunity for process improvements.

• Analyse A/B experiments and DLG initiatives.

• Collaborate with sales, ops, marketing, finance and product to understand their challenges, dive into the data and share insights that solve business problems.

Qualifications

• +5 years of experience working in data analytics-related fields.

• Bachelor’s degree in math, statistics, computer science, economics or relevant field.

• Strong proficiency in SQL and data modelling: cleaning, modelling and transforming large and complex datasets into usable and trusted models.

• Familiarity with DBT (data build tool), Git and Snowflake data warehouse is preferred.

• Working knowledge of visualisation tools, ideally Tableau, and Google Sheets.

• Ability to analyse data discrepancies and troubleshoot data issues.

• Excellent problem-solving skills with the ability to think critically and translate complex data into actionable insights.

• Familiar with AI tooling, e.g. Copilot, Clay.

• Excellent verbal and written communication skills, with the ability to collaborate with cross-functional teams including technical teams (data engineering) and business users (marketing, product, revenue, etc).

• Stakeholder management and prioritisation skills

Nice to have

• PLG experience

• Experience building and working with AI Agents

• Translating complex developer behaviour into product insights

• AB testing experimentation experience

• Revenue modelling and forecasting knowledge

The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between: $114,000-$156,200 USD

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In the last year, we've seen compelling signs that LLMs and agents are increasingly capable of novel cyber capabilities. We think 2026 will be the year where models reach expert-level, even superhuman, in several cybersecurity domains. This is a novel and massive threat surface.

As a Research Scientist on FRT focusing on cyber, you'll build the tools and frameworks needed to defend the world against advanced AI-enabled cyber threats. Senior candidates will have the opportunity to shape and grow Anthropic's cyberdefense research program, working with Security, Safeguards, Policy, and other partner teams.

This work sits at the intersection of AI capabilities research, cybersecurity, and policy,what we learn directly shapes how Anthropic and the world prepare for AI-enabled cyber threats. This is applied research with real-world stakes. Your work will inform decisions at the highest levels of the company, contribute to demonstrations that shape policy discourse, and build the technical defenses that we will need for a future of increasingly powerful AI systems.

Responsibilities

• Develop systems, tools, and frameworks for AI-empowered cybersecurity, such as autonomous vulnerability discovery and remediation, malware detection and management, network hardening, and pentesting
• Design and run experiments to elicit and evaluate autonomous AI cyber capabilities in realistic scenarios
• Design and build infrastructure for evaluating and enabling AI systems to operate in security environments
• Translate technical findings into compelling demonstrations and artifacts that inform policymakers and the public
• Collaborate with external experts in cybersecurity, national security, and AI safety to scope and validate research directions

Sample Projects

• Building frameworks and tools that enable AI models to autonomously find and patch vulnerabilities
• Running purple-team simulations where AI defenders compete against AI attackers in network environments
• Pointing autonomous AI systems at real-world security challenges (bug bounties, CTFs etc.) to characterize risks, defensive potential, and compare to human experts
• Building demonstrations of frontier AI cyber capabilities for policy stakeholders

You May Be a Good Fit If You

• Have deep expertise in cybersecurity or security research
• Are driven to find solutions to complex, high-stakes problems
• Have experience doing technical research with LLM-based agents or autonomous systems
• Have strong software engineering skills, particularly in Python
• Can own entire problems end-to-end, including both technical and non-technical components
• Design and run experiments quickly, iterating fast toward useful results
• Thrive in collaborative environments
• Care deeply about AI safety and want your work to have real-world impact on how humanity navigates advanced AI
• Are comfortable working on sensitive projects that require discretion and integrity
• Have proven ability to lead cross-functional security initiatives and navigate complex organizational dynamics

Strong Candidates May Also Have

• Experience with offensive security research, vulnerability research, or exploit development
• Research or professional experience applying LLMs to security problems
• Track record in competitive CTFs, bug bounties, or other security-related competitions
• Experience building security tools or automation
• Track record of building demos or prototypes that communicate complex technical ideas
• Experience working with external stakeholders (policymakers, government, researchers)
• Familiarity with AI safety research and threat modeling for advanced AI systems

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position 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.

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, and we host frequent research discussions and workshops.

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Join us as Staff Software Engineer for Twilio Stytch's Agent team and help build the future of agent identity. You will be a foundational member of a team pioneering the next generation of authentication, verification, and identity solutions that will empower AI developers and protect users globally.

In this role, you'll:

• Build and own product capabilities for Stytch's agentic identity platform on Twilio.
• Design, implement, and maintain scalable, reliable distributed services, optimizing for security, latency, and developer experience.
• Partner with Product and Engineering leadership to set direction, translate customer needs into technical plans, and deliver high-impact roadmap features.
• Collaborate across Twilio and Stytch teams to align on architecture, integrate platform capabilities, and unblock cross-team initiatives.
• Write clean, maintainable, and well-tested code, setting a high bar for technical excellence across the team.
• Own the end-to-end lifecycle of new services, from initial design and prototyping through to production deployment and operational readiness.
• Mentor other engineers on the team, fostering a culture of innovation, ownership, and continuous learning.
• Communicate complex technical concepts effectively to diverse audiences, from fellow engineers to executive leadership.
• Stay at the forefront of industry trends and emerging threats in identity and authentication to ensure our products are secure and innovative.

We're seeking a talented Staff Engineer who brings deep hands-on technical expertise, a strategic mindset, and a passion for building secure, developer-first experiences.

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The ideal candidate will have a strong background in computer science, robotics, machine learning, or a related field, and experience integrating agents into classical systems. They will also have a proven track record of novel application and experience including first-author publications, participation in peer-reviewed conferences, contribution to open-source projects, and demonstrated contribution to the ML and AI community.

In addition to your technical expertise, you will be a strong communicator and collaborator, able to work effectively with cross-functional teams to drive results. You will also be comfortable working in a fast-paced environment and adapting to changing priorities.

If you are a motivated and experienced engineer looking to join a dynamic team and contribute to cutting-edge technology, we encourage you to apply.

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The ideal candidate is an Elastic product expert (including but not limited to Agent Builder and Workflows), using the full power of the Elastic Stack to provide the 'brain' and 'memory' for our agentic ecosystem.

As the company behind the popular open-source projects , Elasticsearch, Kibana, Logstash, and Beats , we help people around the world do great things with their data.

The Elastic family unites employees across 40+ countries into one coherent team, while the broader community spans across over 100 countries.

Responsibilities

• Agentic Strategy & Design: Invent and implement sophisticated agentic workflows that use reasoning and tools to complete end-to-end business processes.

• Enterprise Grounding: Apply Retrieval Augmented Generation (RAG) and the Elasticsearch Relevance Engine (ESRE) to ensure agents are deeply grounded in enterprise knowledge for high-accuracy task completion.

• AI Model & Tool Integration: Develop and fine-tune LLMs and integrate them with internal APIs and third-party SaaS tools to enable autonomous action.

• Scalable Infrastructure: Firm understanding of cloud-based environments (AWS, Azure, GCP) in order to support the high-concurrency demands of enterprise agents.

• Lifecycle Management: Oversee the training, deployment, and performance optimization of agents, ensuring they remain secure, reliable, and compliant.

• Technical Leadership: Act as a domain expert on the Elastic Stack, making technical recommendations that push the boundaries of AI-driven productivity.

• Documentation: Maintain comprehensive documentation of AI workflows, cloud infrastructure, and deployment processes.

• Security: Implement standards for security and data privacy to protect sensitive information and ensure compliance with relevant regulations.

Requirements

• 3-5 years of work experience in a relevant field.

• Minimum 1 year experience building with the Elastic Stack.

• Knowledge of Elasticsearch Relevance Engine (ESRE), Jina AI, and advanced RAG patterns is critical.

• Proven success in delivering independent GenAI projects, specifically those involving autonomous task completion or complex workflow automation.

• Agentic Frameworks: Familiarity with LangGraph, LangChain, and LangSmith for building and debugging multi-agent systems.

• Expertise in Enterprise Agentic & Workflow Platforms: Deep familiarity with leading agentic AI and workflow automation platforms (such as Microsoft Copilot Studio, Salesforce Agentforce, ServiceNow AI Agents).

• Market Trend Integration: Proven ability to apply emerging market trends,such as Multi-Agent Orchestration and Model Context Protocol (MCP),to build high-impact, cost-optimized solutions that scale across the enterprise.

• Programming: Experience with Python or TypeScript for backend logic and agent orchestration.

• Cloud & Orchestration: Familiarity with Kubernetes (Operators/Controllers), Docker, and Terraform for automated deployment.

• Model Expertise: Hands-on experience with LLM providers.

Bonus Points

• Bachelor’s or Master’s degree in Computer Science or a related engineering field.

• Strong communication skills with the ability to translate business requirements into technical agent architectures.

• A commitment to Ethical AI and responsible development practices.

• Experience with containerization and orchestration (e.g., Docker, Kubernetes).

• Knowledge of DevOps practices for model deployment and automation.

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As the company behind the popular open-source projects , Elasticsearch, Kibana, Logstash, and Beats , we help people around the world do great things with their data. From stock quotes to Twitter streams, Apache logs to WordPress blogs, our products are extending what's possible with data, delivering on the promise that good things come from connecting the dots.

Responsibilities

• Agentic Strategy & Design: Invent and implement sophisticated agentic workflows that use reasoning and tools to complete end-to-end business processes.
• Enterprise Grounding: Apply Retrieval Augmented Generation (RAG) and the Elasticsearch Relevance Engine (ESRE) to ensure agents are deeply grounded in enterprise knowledge for high-accuracy task completion.
• AI Model & Tool Integration: Develop and fine-tune LLMs and integrate them with internal APIs and third-party SaaS tools to enable autonomous action.
• Scalable Infrastructure: Firm understanding of cloud-based environments (AWS, Azure, GCP) in order to support the high-concurrency demands of enterprise agents.
• Lifecycle Management: Oversee the training, deployment, and performance optimization of agents, ensuring they remain secure, reliable, and compliant.
• Technical Leadership: Act as a domain expert on the Elastic Stack, making technical recommendations that push the boundaries of AI-driven productivity.
• Documentation: Maintain comprehensive documentation of AI workflows, cloud infrastructure, and deployment processes.
• Security: Implement standards for security and data privacy to protect sensitive information and ensure compliance with relevant regulations.

Requirements

• 3-5 years of work experience in a relevant field.
• Minimum 1 year experience building with the Elastic Stack.
• Knowledge of Elasticsearch Relevance Engine (ESRE), Jina AI, and advanced RAG patterns is critical.
• Proven success in delivering independent GenAI projects, specifically those involving autonomous task completion or complex workflow automation.
• Agentic Frameworks: Familiarity with LangGraph, LangChain, and LangSmith for building and debugging multi-agent systems.
• Expertise in Enterprise Agentic & Workflow Platforms: Deep familiarity with leading agentic AI and workflow automation platforms (such as Microsoft Copilot Studio, Salesforce Agentforce, ServiceNow AI Agents.)
• Market Trend Integration: Proven ability to apply emerging market trends,such as Multi-Agent Orchestration and Model Context Protocol (MCP),to build high-impact, cost-optimized solutions that scale across the enterprise.
• Programming: Experience with Python or TypeScript for backend logic and agent orchestration.
• Cloud & Orchestration: Familiarity with Kubernetes (Operators/Controllers), Docker, and Terraform for automated deployment.
• Model Expertise: Hands-on experience with LLM providers.

Bonus Points

• Bachelor’s or Master’s degree in Computer Science or a related engineering field.
• Strong communication skills with the ability to translate business requirements into technical agent architectures.
• A commitment to Ethical AI and responsible development practices.
• Experience with containerization and orchestration (e.g., Docker, Kubernetes).
• Knowledge of DevOps practices for model deployment and automation.

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As a builder at Brainlabs, you'll have access to proprietary AI tools, a growing skills library, and a methodology that's been refined over a decade of logged experiments. You'll work on problems that matter, such as revenue, growth, measurement, and the media decisions that drive all three.

Our culture is built on Test and Earn, where your ideas get tested, not talked about. We're a company that's genuinely rebuilding how knowledge work gets done, and doing it at scale with 1,000 people, real clients, and real infrastructure.

If you're already building and want to join a company that's pushing the boundaries of what's possible, we want to hear from you. Apply with whatever best shows us how you think and what you make.

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You will translate business and technical requirements into scalable, outcome-driven solutions built on the Elastic Stack. You will lead end-to-end delivery of customer engagements , from discovery and design through implementation, enablement, and optimisation. You will partner with customers to architect, deploy, and operationalise Elastic solutions that drive measurable value and adoption.

You will provide technical oversight, guidance, and enablement to customers and teammates throughout project lifecycles. You will collaborate cross-functionally with Sales, Product, Engineering, and Support to ensure successful outcomes and continuous improvement. You will capture and share best practices, lessons learned, and solution patterns across the Elastic Services community.

You will guide customers in using Elastic Agents, Beats, Logstash time-series data ingestion, stream processing, and normalisation, and related technologies. You will design and implement custom dashboards, visualisations, and alerting for critical observability use cases in Kibana. You will optimise ingestion pipelines for performance, scalability, and resiliency at enterprise scale.

You will have 5+ years as a consultant, architect, or engineer with expertise in observability, monitoring, or related domains. You will have strong experience with time-series data ingestion and processing, including pipelines with Elastic Agents, Beats, and Logstash. You will have knowledge of messaging queues (Kafka, Redis) and ingestion optimisation strategies.

You will have understanding of observability concepts like distributed tracing, metrics pipelines, log aggregation, anomaly detection, SLOs/SLIs. You will have experience with one or more: Kubernetes, cloud platforms (AWS, Azure, GCP), or infrastructure as code. You will have familiarity with Elastic Common Schema (ECS), data parsing, and normalisation.

You will have proven experience deploying Elastic Observability (APM, UEM, logs, metrics, infra, network monitoring) or similar solutions at enterprise scale. You will have hands-on expertise in distributed systems and large-scale infrastructure. You will have ability to design and build dashboards, visualisations, and alerting thresholds that drive actionable insights.

You will have experience with Kubernetes, Linux, Java, databases, Docker, AWS/Azure/GCP, VMs, Lucene. You will have strong communication and presentation skills, with experience engaging directly with customers. You will have a Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or related field, or equivalent experience.

You will be comfortable working in highly distributed teams, both remote and on-site when needed. You may require significant travel to customer sites to support engagements and solution implementations; candidates should be comfortable with varying levels of travel based on business needs.

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You'll collaborate with Elastic’s Professional Services, Engineering, Product, and Sales teams to accelerate adoption of the Elastic Observability platform, ensuring customers maximise the value of their data while achieving business outcomes. This is a highly impactful role, with opportunities to guide strategy, lead complex implementations, and mentor both customers and teammates.

Key responsibilities include:

• Translating business and technical requirements into scalable, outcome-driven solutions built on the Elastic Stack.
• Leading end-to-end delivery of customer engagements , from discovery and design through implementation, enablement, and optimisation.
• Partnering with customers to architect, deploy, and operationalise Elastic solutions that drive measurable value and adoption.
• Providing technical oversight, guidance, and enablement to customers and teammates throughout project lifecycles.
• Collaborating cross-functionally with Sales, Product, Engineering, and Support to ensure successful outcomes and continuous improvement.
• Capturing and sharing best practices, lessons learned, and solution patterns across the Elastic Services community.
• Contributing to internal enablement, mentoring, and a culture of continuous learning and collaboration

Required skills include:

• 5+ years as a consultant, architect, or engineer with expertise in observability, monitoring, or related domains.
• Expertise in the Telecommunications domain, especially with Mobile networks and devices.
• Strong experience with time-series data ingestion and processing, including pipelines with Elastic Agents, Beats, and Logstash.
• Knowledge of messaging queues (Kafka, Redis) and ingestion optimisation strategies.
• Understanding of observability concepts like distributed tracing, metrics pipelines, log aggregation, anomaly detection, SLOs/SLIs.
• Experience with one or more: Kubernetes, cloud platforms (AWS, Azure, GCP), or infrastructure as code.
• Familiarity with Elastic Common Schema (ECS), data parsing, and normalisation.
• Proven experience deploying Elastic Observability (APM, UEM, logs, metrics, infra, network monitoring) or similar solutions at enterprise scale.
• Hands-on expertise in distributed systems and large-scale infrastructure.
• Ability to design and build dashboards, visualisations, and alerting thresholds that drive actionable insights.
• Experience with Kubernetes, Linux, Java, databases, Docker, AWS/Azure/GCP, VMs, Lucene.
• Strong communication and presentation skills, with experience engaging directly with customers.
• Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or related field, or equivalent experience.
• Comfortable working in highly distributed teams, both remote and on-site when needed.
• May require significant travel to customer sites to support engagements and solution implementations; candidates should be comfortable with varying levels of travel based on business needs.

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Research Scientist, Information Quality

Job Description

This role requires a passion for advancing information literacy through AI & machine learning, focusing on assessing media trustworthiness (images, audio, and video) and exploring concepts like authenticity, provenance, and context.

Key responsibilities include formulating metrics, simulations, rapid prototyping of ML techniques, exploratory data analysis, collaborating with product teams to drive research, and developing tools and frameworks to accelerate research. A public example of research work is Backstory.

About Us

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence.

The Role

To succeed in this role, you will need to be passionate about advancing information literacy using machine learning and other computational techniques. You'll join an interdisciplinary team of domain experts, ML researchers, and engineers to conduct cutting-edge research and advance the next generation of multimodal AI assistants that help co-investigation and deliberation.

Relevant domains may include, but are not limited to, determining media authenticity, context discovery, and open source intelligence investigations. A public example of recent work is Backstory.

Key responsibilities:

• Drive the projects by defining key research questions.
• Design, implement, and evaluate experiments to provide clear answers
• Contribute to real world impact, by landing your research in Google products and services.
• Publish research findings in top academic conferences and journals
• Stay up-to-date with the latest advancements in the field
• Collaborate with internal and external scientific domain experts.

About You

In order to set you up for success as a Research Scientist at Google DeepMind, we look for the following skills and experience:

• PhD in Computer Science, Statistics, or a related field.
• Strong publication record in top machine learning and/or computer vision conferences or journals (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV).
• Expertise in one or more of the following areas: social impact of AI, reinforcement learning, multimodal agents, computer vision, natural language understanding.

In addition, the following would be an advantage:

• Passion for research on societal benefits and implications of the internet and AI with focus in information literacy.
• Experience with training, evaluating, and interpreting large language models.
• Experience working with large and noisy datasets.
• Experience collaborating across fields.
• Proven ability to design and execute independent research projects.

When assessing technical background we will take a holistic view of the mix of scientific, ML and computational experience. We do not expect you to be an expert in all fields simultaneously. At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact.

We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law.

If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

The US base salary range for this full-time position is between $174,000 USD - $252,000 USD + bonus + equity + benefits.

Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Application deadline: April 28th, 2026

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Research Engineer, Information Quality

Summary

At Google DeepMind, our research team is dedicated to tackling the most complex challenges in online information quality. We strive to advance the state of the art by developing innovative solutions to detect manipulated media and misleading narratives, ensuring the integrity of digital discourse.

Responsibilities

To succeed in this role, you will need to be passionate about advancing information literacy using machine learning and other computational techniques. You'll join an interdisciplinary team of domain experts, ML researchers, and engineers to research and build systems and tools to assess the trustworthiness of media (images, audio, and videos) on the internet.

Key responsibilities:

• Plan and perform rapid prototyping of machine learning techniques applied to determining authenticity of media information.
• Undertake exploratory analysis to inform experimentation and research directions.
• Engage with product teams to drive the development of our research.
• Implement tools, libraries, and frameworks to speed up and enable new research.
• Report and present research findings, software developments, experimental results, and data analysis clearly and efficiently.
• Collaborate with internal and external scientific domain experts.

Requirements

In order to set you up for success as a Research Engineer at Google DeepMind, we look for the following skills and experience:

• Master’s degree in Computer Science, Electrical Engineering, Science, or Mathematics, or equivalent experience.
• Applied experience with machine learning, preferably modern deep learning techniques (e.g., Transformers, Diffusion, LLMs).
• Programming experience.
• Quantitative skills in math and statistics.
• Experience exploring, analysing and visualising data.

Preferred Qualifications

In addition, the following would be an advantage:

• Experience in multimodal learning, including the training and deployment of large-scale models.
• Experience developing AI agents.
• Experience with Large Language Models, prompt engineering, few-shot learning, post-training techniques, and evaluations.
• A proven track record of research or engineering achievements, such as publications in peer-reviewed conferences or journals.

Benefits

The US base salary range for this full-time position is between $174,000 USD - $252,000 USD + bonus + equity + benefits.

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You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems. Our FDEs engage with customers to accelerate the adoption of existing products and create new applications built on our models.

Working closely with our Post-Sales, Product, and Engineering teams, you'll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability.

You will sit at the frontier of enterprise AI deployments and serve as one of our founding FDEs who helps to shape our forward-deployed motion. We expect our FDEs to operate autonomously, thrive under ambiguity, and represent Anthropic at the highest level in customer environments. This is a significant responsibility: you’ll play a key role in championing our mission in the enterprise.

Responsibilities:

• Work within customer systems to build production applications with Claude models, ensuring that these products meet customer requirements.

• Deliver technical artifacts for customers like MCP servers, sub-agents, and agent skills that will be used in production workflows.

• Provide white glove deployment support for Anthropic products in enterprise environments.

• Identify and codify repeatable deployment patterns and contribute insights back to our Product and Engineering teams.

• Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks.

• Build long term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement.

• Travel frequently (25-50%) to customer sites to build in person with customers.

• Be a champion for Anthropic’s mission in the field.

You May Be a Good Fit If You Have:

• 4+ years of experience in a technical, customer facing role such as Forward Deployed Engineer, or as a Software Engineer with consulting experience. Former technical founders are also encouraged to apply.

• Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale.

• Strong programming skills with proficiency in Python (and ideally in one or more additional languages like TypeScript, Java, etc) and experience shipping production applications

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As a Developer Experience Engineer, you will act as a bridge between our core engineering efforts and the broader developer ecosystem, contributing code, documentation, and examples that accelerate adoption of Grok and xAI's models.

At xAI, we build AI to accelerate human scientific discovery and advance our collective understanding of the universe. Developer Experience here is hands-on and outcome-driven: you ship real code to open source repos, solve actual developer pain points, and influence product direction through community insights and your own prototypes.

Responsibilities:

• Contribute to and maintain popular open source SDKs and repositories for xAI, including pushing high-quality code, reviewing PRs, and evolving libraries that power developer integrations with our models.

• Write clear, comprehensive documentation that empowers developers to build with Grok quickly and effectively.

• Engage directly with the community , on X, Discord, GitHub, forums, and beyond , answering questions, gathering feedback, and turning insights into actionable improvements.

• Create and ship practical examples, tutorials, reference apps, and demos that showcase best practices for using xAI APIs in real-world scenarios.

• Collaborate closely with engineering, product, and research teams to identify friction in developer workflows and drive fixes or new features.

• Help shape how developers experience xAI in an era of rapid AI advancement, focusing on speed, reliability, and innovation.

Basic Qualifications:

• Open source maintainer or core contributor with a track record of shipping meaningful code to public repositories that others rely on.

• Strong Typescript fullstack expertise and can build end-to-end solutions confidently.

• Previous experience in DevRel, Developer Advocacy, Developer Experience, or a closely related role where you owned community-facing technical work.

Preferred Skills and Experience:

• Hands-on experience with Next.js / React for building modern web interfaces and apps.

• Experience building agents in Python

• Background as an indie hacker, ex-founder, or solo builder who has shipped products independently and understands developer needs from personal experience.

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Zuma is pioneering the future of agentic AI in property management. We build AI agents that act as property managers, handling the full spectrum of interactions with both prospects and current residents on behalf of our clients.

Our agents don’t just assist human workflows; they own them end-to-end, operating across leasing, collections and resident communications. Zuma has ambitions to continue expanding into adjacent work activities in tangential areas of property management.

This is a rare chance to shape the future of how an entire industry operates , not in theory, but in production, at scale, touching real customers and physical assets every day. At Zuma, human and AI agents work side by side, and you'll help define what that collaboration looks like at its best.

Responsibilities

• Own E2E projects that cross all areas of software development including full stack web apps, agentic AI solutions across multiple work activities, extensive integrations with PMS and CRM systems, infrastructure, and internal tooling.

• Architect, build, and deploy production AI agents using modern agent frameworks, owning the full lifecycle from design to reliability in production.

• Define the technical patterns and standards for how software is built across the engineering org , you will be setting the playbook others follow.

• Strengthen our core systems , including our onboarding/configuration system, integration frameworks, and AI performance analytics infrastructure.

• Collaborate directly with the VPE and product leadership to translate product vision into delivery, making high-stakes technical trade-offs with confidence.

• Own system reliability, observability, and continuous improvement , defining how we measure, monitor, and iterate on our agents and web products in production.

• Work across the stack (backend services, LLM orchestration, integrations, data pipelines, frontends) to ship agents and products that are robust and scalable.

• Tame legacy code and lay down new foundations , patterns and architecture you create will be inherited by the engineers who come after you.

• Be a close partner to the product and operations teams, turning their domain needs into intelligent automated workflows without requiring domain expertise upfront.

Nice to Have

• Prior experience at a startup or high-growth company; comfort shipping fast and iterating in production.

• AWS experience with IaC (Terraform) and comfort working with infrastructure / dev ops.

• Background in building self-serve platforms or integration infrastructure.

• Experience with workflow automation platforms or business process orchestration.

• Experience with telephony integrations (Twilio or similar) and building voice-capable agents or chatbots across text and voice channels.

• Familiarity with speech-to-text, text-to-speech, or real-time audio streaming pipelines in production AI systems.

• Classical ML experience , supervised/unsupervised learning, feature engineering, model training and evaluation outside of LLM contexts.

Our Stack

• Python, TypeScript/Node.js

• OpenAI, Anthropic

• LangGraph, OpenAI Agents SDK, custom orchestration layers

• AWS, AWS ECS, PostgreSQL, Redis

• RealPage, Entrata, Yardi, and other property management systems

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This role goes beyond building models; it's about designing agentic systems, AI-assisted workflows, and data-driven decision engines that help the company scale faster than headcount.

You will be at the forefront of developing the next generation of autonomous systems that power both customer-facing products and internal operations, from optimizing payment experiences to accelerating development, testing, troubleshooting, and product creation.

Responsibilities:

• Architect, build, and deploy LLM-powered applications that augment and automate key workflows across Yuno, from customer service and new product development to internal agentic workflows that optimize critical company processes.

• Design autonomous AI systems that can execute technical analysis, testing, troubleshooting, and decision-making at scale.

• Develop AI-driven tools that create measurable business impact, improving efficiency, accelerating innovation, and driving revenue growth.

Operational Intelligence & Scalability:

• Identify areas across Yuno where AI can generate efficiency gains, reducing manual work, optimizing processes, and enabling smarter operations.

• Build AI systems that enable Yuno to scale without exponential growth in headcount, thereby creating sustainable productivity and organizational intelligence.

Data & Model Optimization:

• Lead fine-tuning and contextual optimization of AI models using Yuno's proprietary data.

• Continuously refine performance through structured feedback loops, observability metrics, and user interaction data.

• Ensure adherence to privacy, compliance, and ethical AI principles in all model development.

Cross-Functional Collaboration & Innovation:

• Work closely with data, product, and infrastructure teams to define the long-term AI roadmap for Yuno.

• Experiment with emerging AI technologies to identify new capabilities that can drive differentiation and strategic advantage.

• Contribute to a culture of experimentation, rapid iteration, and continuous learning across the AI function.

The skills you need:

• 5+ years of professional experience in AI/ML development, with at least 2 years focused on LLMs, RAG, or agentic systems.

• Strong engineering and product mindset, capable of balancing technical depth with strategic impact.

• Exceptional communication and collaboration skills to work across product, engineering, and data functions.

• Passion for pushing the boundaries of applied AI and creating systems that drive real business transformation.

• Willing to work from the Hyderabad office.

Minimum Qualifications:

• LLMs & RAG: Proven experience designing and deploying systems using models like GPT, Claude, Gemini, or similar, including Retrieval-Augmented Generation (RAG) pipelines and contextual retrieval systems.

• AI Agents & Multi-Agent Systems: Hands-on experience with Crew.ai, LangChain, LangGraph, or similar frameworks to build orchestrated agentic workflows.

• Fine-Tuning & Context Engineering: Expertise in supervised fine-tuning (SFT), LoRA, or custom dataset adaptation for domain-specific tasks.

• Programming & Frameworks: Proficiency in Python, GO, and AI/ML libraries such as PyTorch, TensorFlow, or JAX.

• AI Infrastructure: Experience designing scalable, production-ready AI systems in AWS, GCP, or Azure, with a deep understanding of vector databases, model serving, and inference optimization.

• Observability & Monitoring: Familiarity with LangSmith, LangFuse, or equivalent tools for tracking, debugging, and evaluating LLM performance.

• API Integration: Expertise in integrating AI systems with RESTful APIs and internal platforms to create seamless, usable products.

Preferred Qualifications:

• Experience using LlamaIndex, Hugging Face, or similar open-source frameworks.

• Strong understanding of context optimization, embedding strategies, and knowledge retrieval.

• Familiarity with MLOps, CI/CD pipelines, and production deployment best practices.

• Prior experience in fintech, payments, or other data-intensive and regulated industries.

• Analytical rigor and ability to translate business objectives into measurable AI outcomes.

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When new product ideas are identified, our software engineers are responsible for designing, developing, testing, and deploying the products from the ground up, while continuously iterating with product management and customers for feedback and input.

This position follows the Company’s hybrid schedule which currently requires employees to work in the Durham, NC or Addison, TX office a minimum of three days per week.

Responsibilities:

• Design, develop, and deploy AI Agents and machine learning models to solve complex business problems
• Create and maintain backend systems for LLMs and AI Agents, ensuring high performance and scalability
• Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows
• Optimise and fine-tune models and AI Agents for performance, accuracy, and efficiency
• Implement and manage CI/CD pipelines for AI model and AI Agent deployment
• Monitor and troubleshoot AI systems in production, ensuring reliability and robustness
• Stay updated with the latest advancements in AI, machine learning, AI Agents, and related technologies

Requirements:

• Education: Bachelor's degree or equivalent experience grown
• CS Degree preferred
• Experience: 3+ years of professional experience
• Proven experience as an AI Developer, AI Engineer, or similar role
• Expert knowledge of at least one of Golang (preferred), Python or Java and experience with Kubernetes
• Strong understanding of machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch)
• Experience with LLMs, AI Agents, and natural language processing (NLP) techniques
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerisation technologies
• Demonstrates sound judgment for balancing between rapid development, and long-term code maintainability and supportability
• Communicates effectively, both technically and non-technically, as well as in written and oral forms
• Believes in the power of and the need for writing automated tests as part of development
• Skilled debugger who can put out fires under pressure when things go wrong in production environments
• Has knowledge of a variety of modern software frameworks (server side & browser side) and the versatility to learn new tools
• Detail-oriented and passionate for creating an awesome user experience

Benefits:

• Annual base salary range: $100,000 - $295,000
• Equity awards
• Generous benefits package consisting of medical, dental and vision plan, family planning benefits, health savings account, flexible spending account, transportation savings account, 401(k) retirement savings plan with company match, life, accident and disability coverage, business travel accident insurance, employee assistance programs, disability insurance, and other well-being benefits

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The Security Engineering team is responsible for building, scaling, and evolving the core security infrastructure that enables Plaid's product engineering teams to ship securely and at speed. We own the secure paved roads across encryption, authN/authZ, CI/CD, data, and network security surfaces, abstracting away security complexity so developers can build at velocity with confidence.

As the Engineering Manager for Security Engineering, you will lead a team of security engineers building and operating the foundational capabilities that underpin secure development across Plaid. You will partner closely with the CISO and cross-functional engineering leaders to define and drive the roadmap for our platform capabilities, while ensuring our paved roads are reliable, well-adopted, and continuously maturing.

Responsibilities:

• Lead, mentor, and grow a team of security engineers, fostering a high-performance, collaborative, and psychologically safe team culture
• Own the technical roadmap and strategic direction for Plaid's core security capabilities across encryption, authN/authZ, CI/CD, data, and network security surfaces to secure Plaid’s AI and MCP ecosystem (internal and external MCP integrations).
• Partner with product and platform engineering teams to deeply understand their needs, and deliver self-service security infrastructure that scales across teams at varying levels of security maturity.
• Partner with Data Foundation and AI teams to build secure paved roads for agentic identities and workflows (AI agents, MCP clients, service identities)
• Drive measurable improvement in secure-by-default adoption across Plaid's engineering organization, leading with influence rather than authority
• Make pragmatic, risk-based security decisions and tradeoffs that are consistent with product roadmaps and business objectives
• Represent the team's work and security posture clearly to Staff-level leaders including the CISO, CTO, and COO
• Actively build team stability and strong team dynamics, playing a significant role in hiring, onboarding, growing, and retaining security engineering talent

Qualifications:

• 8–14 years of overall software engineering experience, with ~6+ years of that in engineering management roles
• Strong technical background in software engineering, with the ability to understand, evaluate, and guide work on auth systems, encryption, identity/access services, and related security domains in an AWS and K8s environment
• Experience managing engineers in a security, platform, or infrastructure context
• Experience designing and securing AI/ML/Agentic platforms (tool-calling, MCPs, and service identities)
• Familiarity with AI security and governance risks and control designs that preserve developer velocity.
• Proven track record building scalable platform capabilities and paved roads used broadly across a product focused engineering organization
• Ability to architect security capabilities and controls with developer experience principles in mind
• Strong cross-functional relationship-building skills, operating effectively as both a technical advisor and a delivery partner to product engineering teams
• High-empathy communication skills, with the ability to represent technical work to senior leadership
• Internal customer focus, with the ability to drive security maturity gains through influence rather than authority
• Experience at a fintech or high-technology organization adjacent to payments or financial services
• Hands-on experience building user and service authN/authZ capabilities, encryption/secrets management services, or internal identity management capabilities at scale at an AWS and K8s environment

Additional Information

Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!

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Fridtjof Nansen crossed the Arctic, going places no human had ever been. Together with our users, we're doing the same onchain: charting entirely new territory.

Nansen is a special company. We're building the single best product for onchain investing, allowing A New Way To Trade that's agentic, onchain, and fully integrated.

If you're looking for an adventure, you've come to the right place.

Our mission:

Surface the signal and create winners.

What you'll do at Nansen

You'll build the intelligence layer that powers that mission. That means working with 500M+ labeled blockchain addresses, training models on data no one else has, and shipping AI/ML systems that help real investors make better decisions and grow their portfolios.

• Design and build AI/ML models on top of the richest onchain dataset in the world , then make them fast, scalable, and production-ready
• Work shoulder-to-shoulder with engineers and product to ship models that actually reach users
• Stay ahead of the curve in both AI/ML and blockchain , this space moves fast, and we need someone who moves faster
• Level up the team: mentor junior engineers, raise the bar on what good looks like
• Own your work end-to-end; from data pipeline to deployed feature

What we're looking for

• You've shipped AI/ML at production scale , you have the scars and the portfolio to prove it
• Deep fluency in frameworks around Python, Generative AI and agents
• Deep expertise in LLMs, agent architectures, prompt engineering, and context engineering , across OpenAI, Anthropic, and beyond
• You can work the full data stack: feature engineering, pipelines, model serving. Data engineering experience is a genuine edge
• You don't just use AI as a tool. You think with it. AI-first isn't a checkbox, it's how you work
• Bonus: you know onchain, you care about crypto, and you have opinions about where this is going

What we offer our crew

• Competitive salary. Meaningful equity. Real ownership in what you build
• Fully remote with two no-meeting days a week , because deep work doesn't happen in a Google Meet
• Annual company retreat and team off-sites in one of our offices: Singapore, Bangkok, London, and Oslo , flights and accommodation covered
• Unlimited AI tokens: Claude, OpenAI, whatever helps you move fast
• Your own OpenClaw for work
• Nansen Pro account: giving you full access to the most detailed onchain data in the market
• A team that started as data engineers and data scientists. Your craft is respected here.
• Speed, ownership, curiosity, courage. These aren't values on a wall , they're how we run.
• A front-row seat (and a hand in building) the next chapter of finance

Work visa sponsorship is not provided for this role.

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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 offer a comprehensive AI platform that meets enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work.

Role Summary

Mistral AI is seeking Applied Scientists Interns and Research Engineers Interns to drive innovative research and collaborate with clients on complex research projects. You will develop SOTA models across different modalities such as text, image, and speech. By developing novel methods and research ideas, you will apply these models across a diverse set of use cases and domains.

Responsibilities

• Run pre-training, post-training, and deploy state-of-the-art models on clusters with thousands of GPUs. • Generate and curate data for pre-training and post-training, working on evaluations and making sure the model's performance beats expectations. • Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation, and deployment. • Collaborate with cross-functional teams to tackle complex use cases using agents and RAG pipelines. • Manage research projects and communications with client research teams.

About You

• You are fluent in English, and have excellent communication skills. You are at ease explaining complex technical concepts to both technical and non-technical audiences. • You're an expert with PyTorch or JAX. • You're not afraid of contributing to a big codebase and can find yourself around independently with little guidance. • You write clean, readable, high-performance, fault-tolerant Python code. • You don't need roadmaps: you just do. You don't need a manager: you just ship. • Low-ego, collaborative, and eager to learn. • You have a track record of success through personal projects, professional projects, or in academia.

Benefits

• Competitive salary • Food: Daily lunch vouchers • Sport: Monthly contribution to a Gympass subscription • Transportation: Monthly contribution to a mobility pass

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Mistral AI is seeking Applied Scientists and Research Engineers to drive innovative research and collaborate with clients on complex research projects. You will develop SOTA models across different modalities such as text, image, and speech. By developing novel methods and research ideas you will apply these models across a diverse set of use cases and domains.

Responsibilities

• Run pre-training, post-training and deploy state of the art models on clusters with thousands of GPUs. You don’t panic when you see OOM errors or when NCCL feels like not wanting to talk. • Generate and curate data for pre-training and post-training, working on evaluations and making sure the model’s performance beats expectations. • Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation and deployment. • Collaborate with cross-functional teams to tackle complex use cases using agents and RAG pipelines. • Manage research projects and communications with client research teams.

About You

• You are fluent in English, and have excellent communication skills. You are at ease explaining complex technical concepts to both technical and non-technical audiences. • You’re an expert with PyTorch or JAX. • You’re not afraid of contributing to a big codebase and can find yourself around independently with little guidance. • You write clean, readable, high-performance, fault-tolerant Python code. • You don’t need roadmaps: you just do. You don’t need a manager: you just ship. • Low-ego, collaborative and eager to learn. • You have a track record of success through personal projects, professional projects or in academia.

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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At Mercury, we're making a deliberate, company-wide bet on AI. Frontier users are already pushing boundaries,building agents, automating workflows, moving fast. But they're doing it in silos. This role exists to change that: to take those scattered experiments and turn them into shared infrastructure, shared context, and shared capability. The goal is a multiplier effect,where the most ambitious AI work inside Mercury lifts the velocity of everyone else.

You'll join a team that has already started building Mercury's internal AI platform and enablement layer. Your work will be to extend, harden, and scale what's in motion, and to help partner teams adopt it.

You'll build and evolve MCP servers that connect internal systems and data sources into a coherent interface for agents and engineers. Expand and operate our LLM gateway infrastructure: routing, rate limiting, cost attribution, and observability across teams. Turn early patterns into durable defaults: shared prompt libraries, guardrails, and policy-as-code so teams can move fast safely.

You'll shape and maintain structured context artifacts,clean, reliable, agent-consumable,so LLMs working in Mercury's systems can reason accurately about our domain. Improve internal knowledge discoverability and retrieval so both humans and agents can quickly find accurate answers. Partner with domain teams to standardize key sources of truth, and keep them fresh.

You'll build and refine sandbox environments and tooling that let engineers experiment with AI safely and at speed. Create self-service scaffolding so non-engineers,PMs, ops, finance,can prototype and deploy AI-powered workflows with minimal hand-holding. Build playgrounds and evaluation harnesses so internal AI agents can be tested and iterated in controlled environments before hitting production.

This list is illustrative. Priorities will shift as we learn; the right person will help choose the next highest-leverage work.

The ideal candidate has 5+ years of backend development experience in complex, production systems,you've built things that other engineers depended on. Is fluent across programming languages and can navigate platform engineering, infrastructure, and developer tooling without needing a map. Has hands-on experience building LLM-powered systems,RAG pipelines, agents, eval frameworks,and has shipped at least one of these to production. Understands the real tradeoffs in AI deployments: cost modeling, observability, latency, and safety,not just the exciting parts. Is high-agency and self-directed. You can operate effectively without tightly-defined scope, find the highest-leverage work, and get it done. Communicates clearly across technical and non-technical audiences,you can explain what you built and why it matters.

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Based in Mountain View, CA, Cyngn is a publicly-traded autonomous technology company that deploys self-driving industrial vehicles to factories, warehouses, and other facilities throughout North America.

We are looking for innovative, motivated, and experienced leaders to join us and move this field forward. If you like to build, tinker, and create with a team of trusted and passionate colleagues, then Cyngn is the place for you.

Key reasons to join Cyngn:

• We are small and big. With under 100 employees, Cyngn operates with the energy of a startup. On the other hand, we’re publicly traded. This means our employees not only work in close-knit teams with mentorship from company leaders,they also get access to the liquidity of our publicly-traded equity.

• We build today and deploy tomorrow. Our autonomous vehicles aren’t just test concepts,they’re deployed to real clients right now. That means your work will have a tangible, visible impact.

• We aren’t robots. We just develop them. We’re a welcoming, diverse team of sharp thinkers and kind humans. Collaboration and trust drive our creative environment. At Cyngn, everyone’s perspective matters,and that’s what powers our innovation.

About this role:

Cyngn is building a cloud platform that helps customers monitor, manage, and optimize fleets of autonomous industrial vehicles in real time. As a Full Stack Engineer (Mid–Senior), you’ll ship features end-to-end,from Python backend services to TypeScript/JavaScript frontends,on a small, high-impact team.

Responsibilities

• Build customer-facing web experiences: fleet dashboards, live views/maps, alerts, admin tools, and reporting using TypeScript/JavaScript.

• Build and evolve backend services in Python that power fleet operations, integrations, data ingestion, and analytics.

• Design and implement reliable APIs (REST and/or gRPC) that are well-documented and easy to integrate with customer systems.

• Deliver real-time features (live vehicle state, events, notifications, operator workflows) using WebSockets and event-driven patterns.

• Support “physical AI” workflows by connecting cloud software to autonomy/robotics systems,telemetry pipelines, command-and-control surfaces, and operational tooling that interacts with vehicles in the real world.

• Use modern AI tools and agents to move faster and raise quality (and help build customer-facing copilot experiences where it makes sense).

• Contribute to digital-twin simulation + validation loops (where applicable): support workflows that use simulation to test behaviors, validate releases, and reproduce field issues.

• Raise engineering quality through testing, code reviews, observability, and pragmatic reliability/performance improvements.

• Own meaningful chunks of the product: shape solutions, make tradeoffs, and drive work to completion.

Qualifications

• 2–4+ years of professional software engineering experience.

• Strong production experience with:

  • Python (backend services, APIs, data workflows)

  • TypeScript or JavaScript (frontend)

  • You’ve shipped and supported user-facing web applications (not just internal tools).

  • You’re comfortable building APIs and working with databases (SQL preferred; NoSQL is a plus).

  • You communicate clearly, take ownership, and bring a low-ego, collaborative approach.

  • You care about software that’s reliable in production, not just “works locally.”

Bonus Qualifications

• Real-time systems experience: WebSockets, SSE, streaming updates, pub/sub.

• Event-driven systems / messaging: Kafka, RabbitMQ, Pulsar, etc.

• Experience with telemetry-heavy or operational products: IoT, robotics, autonomy, fleet/dispatch, industrial software.

• Experience building analytics features: reporting, aggregations, operational metrics, customer-facing insights.

• Familiarity with scaling patterns: caching, background jobs, rate limiting, performance tuning.

• Strong habits using AI coding assistants/agents responsibly (verification, testing, high-signal reviews).

• Exposure to physical AI simulation tooling (e.g., NVIDIA Omniverse / Isaac Sim) or similar environments.

Benefits & Perks

• Health benefits (Medical, Dental, Vision, HSA and FSA (Health & Dependent Daycare), Employee Assistance Program, 1:1 Health Concierge)

• Life, Short-term and long-term disability insurance (Cyngn funds 100% of premiums)

• Company 401(k)

• Commuter Benefits

• Flexible vacation policy

• Remote or hybrid work opportunities

• Sabbatical leave opportunity after 5 years with the company

• Paid Parental Leave

• Daily lunches for in-office employees

• Monthly meal and tech allowances for remote employees

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Cresta's AI Agent team is building enterprise-grade AI Agents that can operate inside real-world contact center environments. A critical part of that mission is enabling our AI Agents to seamlessly integrate with customers' CCaaS platforms (Contact Center as a Service), including voice and digital channels , and to smoothly transition conversations between AI and human agents when needed.

This team is focused on building the backend systems that allow our AI Agents to:

• Integrate deeply with leading CCaaS platforms
• Participate in live customer conversations across voice and chat
• Maintain full conversation state and context
• Perform real-time actions within the CCaaS ecosystem
• Seamlessly hand off conversations to human agents , without losing context, history, or workflow state
• Support human agents with AI assistance after transfer

We are looking for strong backend engineers who want to work at the intersection of distributed systems, real-time communication, enterprise integrations, and AI Agent orchestration.

As a Staff Backend Engineer, you will lead the architecture and technical direction of Cresta’s AI Agent integration platform. You will define how our AI Agents connect to, operate within, and scale across complex enterprise ecosystems.

Responsibilities:

• Lead the architecture and evolution of Cresta’s AI Agent integration framework across CCaaS platforms
• Design scalable, extensible backend systems that manage real-time conversation state, session lifecycle, and context propagation
• Establish architectural patterns for AI-to-human handoff that ensure durability, reliability, and seamless customer experience
• Define integration strategies for voice, chat, messaging, routing, and agent desktop APIs across enterprise platforms
• Drive system design for high availability, low latency, and fault tolerance in real-time environments
• Set standards for observability, monitoring, incident response, and operational excellence
• Partner closely with ML engineers to operationalize AI Agent capabilities into production-grade systems
• Influence technical roadmap and prioritization in collaboration with engineering leadership
• Mentor senior engineers and raise the bar for backend engineering excellence across the organization
• Lead complex cross-team technical initiatives from design through production rollout

Qualifications We Value:

• Bachelor’s degree in Computer Science or related field
• 8+ years of experience building scalable backend systems in production environments
• Demonstrated experience leading architecture for large-scale distributed systems
• Deep expertise in API design (REST, gRPC) and service-oriented architectures
• Strong understanding of real-time communication systems and low-latency system design
• Experience designing integrations with third-party enterprise platforms and APIs
• Proven track record of driving technical direction across teams
• Experience with containerized environments (Kubernetes, Docker)
• Experience with cloud platforms such as AWS, GCP, or Azure
• Strong expertise in reliability engineering, observability, and enterprise-grade security
• Experience with CCaaS platforms, contact center systems, or real-time communications is highly valued
• Familiarity with AI Agents, LLM-based systems, or AI orchestration platforms is a strong plus

Perks & Benefits:

• We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family’s needs
• Paid parental leave to support you and your family
• Monthly Health & Wellness allowance
• Work from home office stipend to help you succeed in a remote environment
• Lunch reimbursement for in-office employees
• PTO: 3 weeks in Canada

Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable.

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This role reports to the VP of Product Marketing and will play a critical role in shaping how Cresta positions, sells, and grows in one of our most strategic verticals.

Responsibilities:

• You'll own the development and continuous refinement of Cresta's positioning and messaging for the Travel & Hospitality industry, translating our platform capabilities into clear, differentiated industry narratives that resonate with buyers, operators, and executives.
• You'll help establish Cresta as a thought leader in the Travel & Hospitality industry, shaping the market conversation around the future of AI-powered customer experience through strategic content, industry events, analyst engagement, and customer storytelling.
• You'll develop and maintain deep buyer personas, advancing our internal understanding of Travel & Hospitality-specific pain points, priorities, and decision dynamics to ensure our messaging drives relevance and confidence in deals.
• You'll partner closely across product, sales, solutions, and marketing, serving as the connective tissue to build and execute Travel & Hospitality-specific go-to-market strategies that accelerate pipeline and revenue growth.
• You'll bring new product capabilities and innovations to market through a Travel & Hospitality lens, leading vertical launches and creating the sales enablement and supporting materials needed to drive adoption and impact.
• Your deep understanding of what drives our wins and losses across the Travel & Hospitality industry will help you provide a data-driven point of view to influence product roadmap priorities, sharpen our positioning, and optimize our vertical strategy over time.

Qualifications:

• Bachelor's degree in Marketing, Business Administration, a related technical field or equivalent practical experience.
• At least 7 years of product marketing or solutions marketing experience, with deep domain knowledge of the Travel & Hospitality industry.
• Experience managing cross-functional or cross-team projects.
• Excellent communication skills and comfortable presenting in executive-level settings.
• Excellent research skills and experience producing data-driven market analysis.

Preferred Qualifications:

• Experience in software categories related to contact centers, customer experience and AI Agents.
• Experience in hypergrowth scale-ups.

Perks & Benefits:

• Comprehensive medical, dental, and vision coverage with plans to fit you and your family.
• Flexible PTO to take the time you need, when you need it.
• Paid parental leave for all new parents welcoming a new child.
• Retirement savings plan to help you plan for the future.
• Remote work setup budget to help you create a productive home office.
• Monthly wellness and communication stipend to keep you connected and balanced.
• In-office meal program and commuter benefits provided for onsite employees.

Compensation at Cresta:

• Cresta's approach to compensation is simple: recognize impact, reward excellence, and invest in our people.
• We offer competitive, location-based pay that reflects the market and what each individual brings to the table.
• Final offers are shaped by factors like experience, skills, education, and geography.
• In addition to base pay, total compensation includes equity and a comprehensive benefits package for you and your family.

Salary Range: $150,000 - 200,000 + Equity

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As a key member of our product marketing team, you will be responsible for developing and refining Cresta's industry-specific narratives, establishing the company as a thought leader, and driving relevance and confidence in deals.

Key responsibilities include:

• Developing and maintaining deep buyer personas to advance our internal understanding of Insurance-specific pain points, priorities, and decision dynamics
• Partnering closely across product, sales, solutions, and marketing to build and execute Insurance-specific go-to-market strategies
• Bringing new product capabilities and innovations to market through an Insurance lens
• Providing a data-driven point of view to influence product roadmap priorities, sharpen our positioning, and optimize our vertical strategy

We're looking for someone who loves to move fast, get their hands dirty, and solve open-ended problems, balancing strategic thinking with hands-on execution to help Cresta win in the Insurance industry.

Qualifications include:

• Bachelor's degree in Marketing, Business Administration, or a related technical field
• At least 7 years of product marketing or solutions marketing experience, with deep domain knowledge of the Insurance industry
• Experience managing cross-functional or cross-team projects
• Excellent communication skills and comfortable presenting in executive-level settings

Preferred qualifications include experience in software categories related to contact centers, customer experience, and AI agents, as well as experience in hypergrowth scale-ups.

We offer a comprehensive and people-first benefits package to support you at work and in life, including comprehensive medical, dental, and vision coverage, flexible PTO, paid parental leave, retirement savings plan, remote work setup budget, monthly wellness and communication stipend, in-office meal program, and commuter benefits.

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We are seeking a highly motivated and innovative Research Scientist to join our team in Bangalore, focused on advancing the state-of-the-art in autonomous agents through reinforcement learning and ML optimization methods.

As a Research Scientist at Google DeepMind, you will conduct cutting-edge research on large language models (LLMs), focusing on the development of more capable, robust autonomous agents.

Key Responsibilities:

• Design, implement and evaluate models, agents and software prototypes of large foundational models.
• Push the boundary of state of the art RL methods and machine learning optimization methods to build autonomous agents.
• Report and present research findings and developments including status and results clearly and efficiently both internally and externally, verbally and in writing.
• Suggest and engage in team collaborations to meet ambitious research goals.
• Work with external collaborators and maintain relationships with relevant research labs and key individuals as appropriate.
• Work in collaboration with our Responsible AI teams to ensure our advances in intelligence are developed ethically and provide broad benefits to humanity.

About You:

• You are a passionate and talented researcher with a strong foundation and a proven ability to conduct impactful research in AI.
• You have a collaborative mindset and are excited to work as part of a team to tackle ambitious research challenges.
• You are passionate about seeing your research translated into real-world products that improve the lives of users and are eager to work in an environment where research has a direct path to product impact.

Requirements:

• PhD in Computer Science, Artificial Intelligence, or a related field.
• Strong publication record in top-tier machine learning conferences or journals.
• Solid understanding of deep learning, natural language processing, computer vision, and/or speech processing.
• Experience with relevant ML frameworks such as JAX, TensorFlow, or PyTorch.

Preferred Qualifications:

• Experience with multimodal learning, large language models, and/or assistive AI agents.
• Experience with prompt engineering, few-shot learning, post-training techniques, and evaluations.
• Familiarity with large-scale model training and deployment.
• Strong programming skills in Python or similar languages.
• Excellent communication and collaboration skills.

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Responsibilities:

• Building and iterating on fee explainability experiences that empower users to find answers independently
• Developing agentic systems with strong accuracy guarantees,building evaluation frameworks and ensuring reliability at scale
• Creating performant data aggregations and optimizations to handle complex pricing scenarios
• Working across the stack: backend services, frontend experiences, data pipelines, and AI agents
• Collaborating with stakeholders across engineering, product, operations, finance, accounting, and sales
• Independently identifying solutions to user pain points and executing against roadmaps
• Mentoring junior engineers and raising the technical bar for the team

Requirements:

• 5+ years of professional experience in a software development role
• Strong coding skills in any programming language
• Ability to drive and lead large-scale initiatives that solve critical business challenges
• Strong collaboration skills across teams and workstreams
• Track record of developing and delivering high-quality software using industry best practices
• Ability to make effective tradeoffs that balance business priorities, user experience, and technical sustainability

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Engineering Manager, Developer Productivity AI

About the Role

We are seeking a hands-on Engineering Manager to lead a team of high-agency engineers in accelerating Stripe's engineering productivity by effectively deploying LLM agents and tools to automate large swaths of the engineering workflow.

Responsibilities

• Lead a senior, cross-continent team of engineers to move rapidly to deploy and exploit the latest in AI devtools.
• Deliver compelling user and product experiences for internal users.
• Work across the company to redefine how software engineers at Stripe work.
• Keep up with an incredibly fast-paced technology environment.
• Dig deep into the data on how engineers use AI tools to seek out every bit of benefit, and help Stripe accelerate.

Requirements

• 2+ years managing high-performing engineering teams, and at least 5+ years of experience as a software engineer.
• Proven success in recruiting and building great teams.
• A repeated history of delivering great, innovative product experiences - either for internal or external users.
• Effective cross-functional collaboration, with the ability to think rigorously, communicate clearly, and make or coordinate difficult decisions and trade-offs.
• Thrives with high autonomy and responsibility in an ambiguous environment.
• Ability to foster a healthy, inclusive, challenging, and supportive work environment.

Preferred Qualifications

• Experience tech leading, mentoring, and managing a team that shipped products to engineers.
• Experience building tools and products, ideally for technical audiences - either as internal or external customers.
• Deep curiosity and opinionation about the use of AI in software engineering.
• Strong written and verbal communication skills for various audiences, including leadership, users, and company-wide.

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Responsibilities:

• Develop scalable methods to identify, measure, and control end-to-end risks across the user lifecycle, including credit and fraud risks.
• Proactively identify risk management opportunities and outline the strategy, translating complex requirements into technical specifications.
• Work closely with Product, Engineering, and Data Science teams to shape new product offerings and develop data-driven, globally scalable systems and processes.
• Become an expert on the global ecosystem of Stripe's products, integrations, tools, and partner requirements, and how those elements interact with payment risks.
• Develop strong internal relationships across partner teams and challenge the payments industry status quo to enable innovative businesses to flourish online.

Requirements:

• 5+ years of relevant experience with financial risk modeling.
• A builder's mindset with a willingness to question assumptions and conventional wisdom.
• Analytical skills, with expertise in data analysis, modeling, and framing business decisions and tradeoffs effectively through quantitative analysis and visualization.
• Collaborative skills, with the ability to work effectively across teams and build strong working relationships.
• Decisive, yet open to learning, with the ability to make critical decisions and quickly learn and iterate from experiences.
• Experience with SQL required.
• Bachelor's degree in Economics, Statistics, Computer Science, Engineering, or other quantitative or related field.

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Your main responsibilities will include engaging with early adopters among AI companies, marketplaces, and developers to understand their needs and challenges in leveraging financial services within agentic workflows. You will also develop a deep understanding of agentic commerce use profiles, including traditional companies exploring AI, marketplaces with monetization needs, personal shopping agents requiring spend/hold/receive functionalities, and developers seeking Stripe integration.

You will articulate Stripe's narrative on agentic commerce and its value proposition to various audiences, demonstrating how Stripe is solving key problems such as automating financial services, monetizing AI agent usage, enabling secure spending by AI agents, and simplifying integration.

You will develop and recommend solutions in partnership with core Account Executives, Solutions Architects, Product, and Product Marketing, tailoring Stripe's offerings to specific agentic commerce use cases.

You will contribute to the development and execution of the go-to-market strategy for Agentic Commerce, help develop AI-specific sales plays, and identify key use cases to drive adoption.

You will engage with strategic partners, particularly with networks like Visa, to explore collaborative opportunities and influence the future of AI-enabled commerce.

You will gather and share user feedback and industry trends to inform Stripe's product strategy and roadmap for Agentic Commerce.

You will collaborate closely with Product Marketing to create educational content and enablement materials for internal teams and potential users.

You will evangelize Stripe's Agentic Commerce position in relevant forums such as EBCs, Sessions, Tours, and contribute to establishing Stripe as a leader in this space.

To be successful in this role, you will need 8+ years of experience in business development, sales, or partnerships within the technology or financial services industry. You will also need a strong understanding of the AI landscape, including LLMs, AI Agents, and their applications, familiarity with payments processing, financial services APIs, and usage-based billing models, proven ability to identify and develop new business opportunities and build strong customer relationships, excellent communication, presentation, and interpersonal skills, and experience working cross-functionally with product, marketing, and sales teams.

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Responsibilities:

• Design, develop, and own data pipelines, models, and products that power the Product, Data Science, and GTM functions
• Develop strong subject matter expertise and manage the SLAs for both data pipelines and full stack web applications that support these critical stakeholders
• Build and refine Stripe's data foundations - infrastructure, pipelines, and tools to enable various teams at Stripe - working with Scala, Spark, and Airflow
• Leverage LLM and Agents at scale to produce high-quality data on ambiguous problems
• Refine our existing data marts that help the GTM organization forecast the future potential performance of the business and reliably measure ongoing attainment toward targets
• Build data services that track key product metrics and measure the impact of different strategies employed by teams in the field

Requirements:

• Must have 6+ years of experience in a Software Engineering role, with a focus on building and maintaining data services, or data-intensive applications
• A strong engineering background and are interested in data
• Prior experience with writing and debugging data pipelines using a distributed data framework (Spark / Hadoop / Pig etc)
• An inquisitive nature in diving into data inconsistencies to pinpoint issues, and resolve deep rooted data quality issues
• Knowledge of a backend development language (such as Scala, Java, or Go) and strong SQL experience
• The ability to communicate cross-functionally, derive requirements and architect shared datasets

Preferred Requirements:

• Experience creating and maintaining Data Marts to power business reporting needs
• Experience working with Product or GTM (Sales/Marketing) teams

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As a Producer, you will: Produce on always-on, campaigns and Team Tilbury social content, including for Brand Ambassador Sofia Tilbury, from briefing to pre-production to shoot across moving image and stills Manage day-to-day execution of global content ensuring quality of outcomes for all weekly shoots and calendar planning Coordinate pre-production schedules, shoot schedules, optioning crew and creatives, call sheets, sourcing locations & hiring equipment Manage all shoot logistics Develop and maintain relationships with photographers, hair artists, set designers etc to ensure the highest possible level of talent Understand market rates and routinely negotiate the best rates possible with photographers, agents and agencies Contribute ideas to Creative leads on contributors to ensure content is on brand, and market leading Be resourceful and adaptable to changing budgets, timings and shifting priorities Prepare and communicate production schedules and timing plans in sync with the content and creative calendars Manage detailed record for usages contract, agreements and contracts for references Spearhead negotiations with agents to ensure the best possible deals for all shoot needs Responsible for bringing on board new talent and maintaining great relationships with external stakeholders such as photographers, directors, DOP, set designer & studios etc General daily admin – POs, budget tracking, Credit card expenses etc Management of freelance production assistants Manage relationships with external agencies and freelancers to ensure good working relationships are maintained Maintain a professional and productive working environment

Who you will work with Reporting to the Senior Producer

About you Thrives working within a fast-paced environment and be able to continually adapt Strong knowledge of and past experience in producing content for social channels Highly organised and pro-active with strong attention to detail to ensure the smooth running of all daily operations Depth of experience in shoot production with high calibre talent and artist portfolio Discreet and professional with excellent communications and networking skills Great relationship with top-tier photographers, talent/model/photographer agents Can prioritise tasks, use initiative and self-time management Be reliable, passionate and willing to think limitless Nimble and able to change direction easily and quickly Steady pair of hands who can deal with multiple stakeholders 2 years related experience within a production company or luxury brand

Why join us? Be a part of this values-driven, high-growth, magical journey with an ultimate vision to empower everyone, everywhere to be the best version of themselves We’re a hybrid model with flexibility, allowing you to work how best suits you 25 days holiday (plus bank holidays) with an additional day to celebrate your birthday Inclusive parental leave policy that supports all parents and carers throughout their parenting and caring journey Financial security and planning with our pension and life assurance for all Wellness and social benefits including Medicash, Employee Assist Programs and regular social connects with colleagues Bring your furry friend to work with you on our allocated dog-friendly days and spaces And not to forget our generous product discount and gifting!

At Charlotte Tilbury Beauty, our mission is to empower everybody in the world to be the most beautiful version of themselves. We celebrate and support this by encouraging and hiring people with diverse backgrounds, cultures, voices, beliefs, and perspectives into our growing global workforce. By doing so, we better serve our communities, customers, employees – and the candidates that take part in our recruitment process.

If you want to learn more about life at Charlotte Tilbury Beauty please follow our LinkedIn page!

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As a Research Scientist at Google DeepMind, you will lead our efforts in developing novel algorithmic architecture towards the end goal of solving and building Artificial General Intelligence.

Key responsibilities include:

• Design, implement and evaluate models, agents and software prototypes of large foundational models.
• Push the boundary of state of the art RL methods and machine learning optimization methods to build autonomous agents.
• Report and present research findings and developments including status and results clearly and efficiently both internally and externally, verbally and in writing.
• Suggest and engage in team collaborations to meet ambitious research goals.
• Work with external collaborators and maintain relationships with relevant research labs and key individuals as appropriate.
• Work in collaboration with our Responsible AI teams to ensure our advances in intelligence are developed ethically and provide broad benefits to humanity.

You are a passionate and talented researcher with a strong foundation and a proven ability to conduct impactful research in AI. You embrace change and thrive under ambiguity. You have a collaborative mindset and are excited to work as part of a team to tackle ambitious research challenges.

Requirements include:

• PhD in Computer Science, Artificial Intelligence, or a related field.
• Strong publication record in top-tier machine learning conferences or journals.
• Solid understanding of deep learning, natural language processing, computer vision, and/or speech processing.
• Experience with relevant ML frameworks such as JAX, TensorFlow, or PyTorch.

Preferred qualifications include experience with multimodal learning, large language models, and/or assistive AI agents.

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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 comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments.

About The Job

Mistral AI is seeking a 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 will be an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products.

Responsibilities

• Onboard customers on our products and APIs, providing guidance on prompting, evaluation, and fine-tuning, and ensuring the best production integration with back-end and front-end interfaces.

• Work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation.

• Individually help deploy into production use cases with a considerable business impact across various industries.

• Collaborate 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.

• Involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. Provide technical guidance on our products and explain Mistral technologies to various stakeholders.

About You

• You are fluent in English.

• You hold a PhD / master in AI / data science.

• You have 2+ 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're experienced with building and deploying LLMs or NLP applications.

• You have proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces.

• You have strong technical coding skills in Python.

• You have experience with deep learning with Pytorch.

• You have experience with agents framework such as Langchain, vector DBs.

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 a pioneering company shaping the future of AI. We believe in the power of AI to simplify tasks, save time, and enhance learning and creativity.

Role Summary

Mistral AI is seeking Applied Scientists Interns and Research Engineers Interns to drive innovative research and collaborate with clients on complex research projects. You will develop SOTA models across different modalities such as text, image, and speech. By developing novel methods and research ideas you will apply these models across a diverse set of use cases and domains.

Responsibilities

• Run pre-training, post-training and deploy state of the art models on clusters with thousands of GPUs.
• Generate and curate data for pre-training and post-training, working on evaluations and making sure the model's performance beats expectations.
• Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation and deployment.
• Collaborate with cross-functional teams to tackle complex use cases using agents and RAG pipelines.
• Manage research projects and communications with client research teams.

About You

• You are fluent in English, and have excellent communication skills. You are at ease explaining complex technical concepts to both technical and non-technical audiences.
• You're an expert with PyTorch or JAX.
• You're not afraid of contributing to a big codebase and can find yourself around independently with little guidance.
• You write clean, readable, high-performance, fault-tolerant Python code.
• You don't need roadmaps: you just do. You don't need a manager: you just ship.
• Low-ego, collaborative and eager to learn.
• You have a track record of success through personal projects, professional projects or in academia.

It Would Be Great If

• You are pursuing a PhD / master in a relevant field (e.g., Mathematics, Physics, Machine Learning), but if you’re an exceptional candidate from a different background, you should apply.
• We’d love to have you for at least 3 months, ideally 6 months.
• You can bring a variety of research experiences, such as working with agents, multi-modality, robotics, diffusion models, or time-series analysis.
• Have contributed to a large codebase used by many (open source or in the industry).
• Have a track record of publications in top academic journals or conferences.
• Love improving existing code by fixing typing issues, adding tests and improving CI pipelines.

Benefits

• Competitive salary
• Food: Daily lunch vouchers
• Sport: Monthly contribution to a Gympass subscription
• Transportation: Monthly contribution to a mobility pass

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Company: Zoopla

Job Summary:

As a Senior Developer Experience Engineer at Zoopla, you will work on the Developer Experience side of the engineering organisation. You will be responsible for building and maintaining the tools and infrastructure that enable developers to work efficiently and effectively.

Job Description:

Zoopla is one of the UK's most instantly recognisable property brands. We're known and loved by over 91% of the nation (and we're working hard on the other 9%). Our mission is to help the nation make better home decisions - by connecting everyone to their home and giving them personalised insights to help with moving, managing or financing.

We're a growing team that embraces innovation and isn't afraid to push the boundaries. We're only just starting our journey to redefine the digital property landscape, with much more to explore and achieve.

Requirements:

• You're skilled in Next.js and TypeScript.
• You like working with AI and you have built things to leverage its usage (think CLIs, custom agents, workflows, anything related to automating and simplifying processes).
• You're working on your engineering craft, and you practise writing maintainable code, reviewing code, pair programming at times, and writing tests.
• You're commercially driven, resilient, and able to respond to changes without missing a beat.
• You're passionate about building products to delight users, while also paying attention to building products that are stable, scalable, secure, observable, and performant.
• You'll have worked with some type of cloud tech, though we'll make sure you're supported by our SRE folks when you need to flex across the whole stack.

Benefits:

• 25 days annual leave + extra days for years of service
• Day off for volunteering & Digital detox day
• Festive Closure - business closed for period between Christmas and New Year
• Cycle to work and electric car schemes
• Free Calm App membership
• Enhanced Parental leave
• Fertility Treatment Financial Support
• Group Income Protection and private medical insurance
• Gym on-site in London
• 7.5% pension contribution by the company
• Discretionary annual bonus up to 10% of base salary

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You will study currently Informatik, Künstliche Intelligenz, Elektrotechnik, Physik, Maschinenbau or a comparable study program. You will bring practical experience in Python and AI/ML frameworks. You will have experience with LLMs, AI-agents, semantic analysis and techniques of natural language processing. First Full-Stack experience is an advantage. You will have a good understanding of technical data types and engineering workflows. Familiarity with containerization like Docker is an advantage. You will be able to express yourself in English, good to very good.

You will have a strong analytical and conceptual ability, especially when designing and implementing decision algorithms for data analysis.

You will have a valid matriculation at a university or be in a GAP year. You will start in March 2026 and work for 6 months. You will work 35 hours a week. You will need a valid residence permit with work permit.

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Key Responsibilities

• Build and manage a growing portfolio of enterprise accounts across Spain - with a focus on Financial Services & Insurance, Telecommunications, Healthcare, and Utilities - to help ElevenLabs meet its revenue goals.
• Identify new business opportunities where ElevenLabs' conversational AI capabilities - including ElevenAgents - can drive customer engagement, contact center automation, and operational efficiency.
• Lead consultative, multi-stakeholder sales cycles, building compelling business cases that translate AI voice technology into measurable business value for senior executives and economic buyers.
• Develop and maintain a deep understanding of the conversational AI landscape, including customer use cases, competitive solutions, and emerging trends - particularly as they apply to regulated Spanish industries
• Demonstrate expertise - or a strong willingness to learn - about conversational AI and how ElevenLabs' voice technology can unlock value across customer support, virtual agents, IVR modernization, and in-app assistants
• Develop and execute account strategies to expand ElevenLabs' presence within key enterprise verticals, navigating complex procurement and organizational structures.
• Partner closely with Customer Success, FDEs and Solutions Engineering to ensure smooth onboarding, deployment, and expansion of accounts.
• Serve as a trusted advisor to clients, educating C-suite and senior operations leaders on emerging trends in generative AI, voice interfaces, and conversational agents.

Requirements

• 7+ years of quota-carrying enterprise sales experience in SaaS or technology, ideally with exposure to AI, generative AI, LLM-based products, or API-driven platforms.
• Proven success closing deals and managing long, complex sales cycles with multiple stakeholders across business, IT, legal, and procurement.
• Well-connected in the Spanish enterprise landscape, with an existing network of senior individuals and strong executive presence and ability to build relationships at the C-suite and board level.
• Experience selling technical solutions to product and engineering leaders; ability to translate complex technology into business value.
• Deep understanding of enterprise procurement and legal processes in Spain, with the ability to accelerate deal velocity within complex organizational structures
• Comfort operating in an early-stage, high-growth environment, including building new playbooks and iterating quickly.
• Passion for voice and audio AI and how it can unlock transformative value for customers.
• A hybrid of customer & product-driven mentality that prioritizes client satisfaction & scale
• Native or full professional proficiency in Spanish; strong English for internal collaboration

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We're looking for a highly motivated, self-starter Account Executive who is passionate about voice technology and how it is changing businesses. In this role, you will build and manage a growing portfolio of new accounts across industries adopting conversational AI to help ElevenLabs meet its revenue goals.

Responsibilities

• Build and manage a growing portfolio of new accounts across industries adopting conversational AI
• Identify new business opportunities where ElevenLabs' conversational AI capabilities can drive user engagement, automation, or cost efficiency
• Develop and maintain a deep understanding of the conversational AI landscape, including customer use cases, competitive solutions, and emerging trends
• Demonstrate expertise—or a strong willingness to learn—about conversational AI and how ElevenLabs' voice technology can unlock value across customer support, virtual agents, in-app assistants, and more

Requirements

• 4–6 years of sales experience in a SaaS or technology company, ideally with exposure to AI, generative AI, LLM-based products, or API platforms
• Experience selling technical solutions to product, engineering, or innovation teams is a strong plus
• Proven track record of meeting & exceeding sales targets in a fast-paced environment
• Expertise or willingness to learn everything about voice and audio AI and how our solutions can help prospects
• Excellent communication and interpersonal skills, with the ability to build and maintain relationships with stakeholders at all levels of an organization
• A hybrid of customer & product-driven mentality that prioritizes client satisfaction & scale

Benefits

• Innovative culture
• Growth paths
• Learning & development
• Social travel
• Annual company offsite
• Co-working

What we offer

• You'll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what's possible
• Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities

Location

This role is remote across the US but if you prefer, you can work from our offices in San Fransisco or New York.

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We're expanding our AI Agents Suite and are looking for an AI Agents Strategist to help drive customer adoption and revenue growth. This is a client-facing, revenue-owning role focused on launching, scaling, and optimizing AI agents for retail and e-commerce customers.

What You'll Do

• Own onboarding and activation for AI Agent customers, partnering closely with Sales, Account Management, Customer Success and Solutions teams.
• Own both the revenue goals and product direction, enabling the training and adoption of client stakeholders to confidently launch and operate AI agents.
• Ensure early, measurable results by connecting agent performance to business outcomes such as conversion rate, AOV, LTV, cost savings, and customer loyalty.
• Act as the strategic and commercial owner for a portfolio of AI agent customers.
• Drive revenue growth through: new customers, existing customers, partnerships, and supporting the right messaging and marketing of the AI Agent solution.
• Analyze agent performance and provide data-driven recommendations to improve results.
• Build strong, long-term client relationships and serve as a trusted advisor on AI strategy.
• Act as the voice of the customer, sharing feedback with Product, Engineering, and GTM teams.

Requirements

• 1-3 years of hands-on experience with AI agents or AI-powered products in a customer-facing environment.
• 3-5+ years of experience in account management, customer success, account strategy, or solutions consulting within AI, SaaS, or data-driven products.
• Proven track record of growing revenue from existing customers.
• Strong analytical skills with the ability to turn data into insights and business cases.
• Excellent communication and presentation skills; comfortable working with both operators and executives.
• Consultative, proactive mindset with comfort operating in a fast-moving, “build from scratch” environment.

Benefits

• Unlimited vacation time
• A competitive compensation package including stock options
• Fully remote team
• Work from home stipend
• Apple laptops provided for new employees
• Training and development budget for every employee, refreshed each year
• Parental leave for qualified employees
• Work with smart people who will help you grow and make a meaningful impact

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Start with an opening paragraph (no heading): what the role is, who the company is, why it matters. If the ad mentions salary, include it here. One short paragraph about the company is enough — do not reproduce lengthy "About Us" text.

For the role details, reuse the same section headings from the original ad (e.g. if the ad says "Responsibilities", use that heading, not "What you'll do"). Match the tone of the original: if formal, stay formal. If casual, stay casual.

Rephrase bullet points in your own words while keeping the factual content. Combine related points where it makes sense.

Content that is not directly about the role (long company history, mission statements, investor lists, press quotes) should be paraphrased into a sentence or two at most — the job seeker needs to understand the company, not read its pitch deck.

For benefits/perks: gather them from anywhere in the ad into one section. If the ad mentions nothing about benefits, omit a benefits section entirely.

Do not invent information that is not in the original ad.

The Role

We're looking for a Founding Product Marketer who will serve as editor-in-chief for all external developer messaging while building the systems and orchestrating the execution that transforms how OpenRouter communicates with developers and customers. This is an IC PMM role with significant Founder and leadership exposure, at the intersection of product marketing and content creation. You ensure that every piece of content that leaves OpenRouter is technically accurate, strategically aligned, and resonates with technical audiences.

You will own the strategy and execution for product launches, model releases, feature announcements, and thought leadership. You'll create the templates, positioning frameworks, and processes that enable founders, engineers, and other builders to communicate authentically and consistently across social media, blog posts, and community channels. This role is about systematizing what works and building the messaging infrastructure that amplifies OpenRouter's technical authority through education, and accessible developer on-ramps.

You will use AI extensively to draft, edit, and prototype content and must have demonstrated experience using AI tools and agents as a part of a high-velocity communications calendar.

What You'll Do

• Serve as Editor-in-Chief: Own editorial quality for all external content—ensuring clarity, consistency, technical accuracy, and strategic alignment across everything OpenRouter publishes.

• Orchestrate and Systematize Content Strategy: Coordinate and enable internal builders and executives to communicate effectively, ensuring coverage of key product launches and a cohesive point of view across all channels.

• Own Product Launch Narratives: Develop positioning and messaging for new features, model integrations, and product releases that establish technical authority and differentiation.

• Build AI-Native Content Systems: Design and manage the "system prompts" for AI-assisted content creation—establishing guardrails, quality standards, and brand guidelines that enable scalable, high-quality output.

• Enable Founder-Led Marketing: Support executives with ghostwriting, content strategy, and messaging guidance for personal accounts on Twitter, LinkedIn, and other platforms.

What We're Looking For

• 5-7 years in product marketing or developer marketing, ideally at a technical platform, API-first company, or developer tool.

• Strong technical fluency with API products, developer workflows, and the ability to understand and communicate complex technical concepts clearly.

• Exceptional writing and editing skills with demonstrated ability to create compelling content across formats (blog posts, social media, web copy, positioning documents).

• Systems thinker with strong process design skills—you build frameworks and templates that enable others to execute consistently.

• Deep familiarity with developer communities on Reddit, Discord, and Twitter/X.

• Experience orchestrating content across multiple internal stakeholders and channels without direct management authority.

• Comfort with AI-native workflows—you embrace automation and AI-assisted content creation while maintaining editorial quality and strategic judgment. You have the technical fluency to serve as first-line reviewer of AI-generated content, validating technical accuracy before engineering review.

• Self-directed and comfortable with ambiguity—you can define the work, build the systems, and execute without a playbook.

Nice to Have

• Prior experience in AI/ML, LLM ecosystems, or developer infrastructure products.

• Track record launching technical products or features with strong content-led strategies.

• Experience building and managing content systems, style guides, and brand voice frameworks.

• Strong social media presence or demonstrated ability to create viral, engaging technical content.

• Familiarity with developer communities, technical Twitter, and how developers discover and evaluate infrastructure tools.

Why OpenRouter

• Work at the center of the AI infrastructure stack as enterprises define how they adopt LLMs.

• Build the content and positioning strategy for a product with clear, tangible ROI: cost efficiency, scalability, flexibility, and innovation velocity.

• High ownership and visibility with direct impact on how OpenRouter is perceived in the market.

• Competitive compensation, including base salary and equity.

• Fully remote team with a strong culture of autonomy and trust.

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As a Digitalization Intern, you will contribute to developing simple digital solutions and automations using modern tools to help streamline processes and reduce repetitive work. You will work with different teams to help organize and structure operational data, supporting reporting activities, basic automation needs, and smoother information flow across the organization.

Responsibilities include creating clear, user-friendly materials to help colleagues understand and adopt new digital tools, participating in group discussions, process-mapping activities, and problem-solving sessions, and engaging in collaborative and team-building activities as part of an agile digitalization squad.

To be successful in this role, you should have a currently authorized work visa for the United States, a Bachelor's degree in a relevant field, and full-time availability through Summer 2026 months.

Required skills include communication and collaboration, process and project skills, technical skills, analytical and problem-solving skills, and personal traits/mindset.

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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 Team

The Frontier Red Team (FRT) is a small, focused technical research team within Anthropic's Policy organization. Our goal is to make the entire world safer in an era of advanced AI by understanding what these systems can do and building the defenses that matter.

In 2026, we're focused on researching and ensuring safety with self-improving, highly autonomous AI systems, especially ones related to cyberphysical capabilities. See our previous related work on exploits, partnering with Mozilla, and zero days. This is early-stage, high-conviction research with the potential for outsized impact.

About the Role

In the last year, we've seen compelling signs that LLMs and agents are increasingly capable of novel cyber capabilities. We think 2026 will be the year where models reach expert-level, even superhuman, in several cybersecurity domains. This is a novel and massive threat surface.

As a Research Scientist on FRT focusing on cyber, you'll build the tools and frameworks needed to defend the world against advanced AI-enabled cyber threats. Senior candidates will have the opportunity to shape and grow Anthropic's cyberdefense research program, working with Security, Safeguards, Policy, and other partner teams. This work sits at the intersection of AI capabilities research, cybersecurity, and policy—what we learn directly shapes how Anthropic and the world prepare for AI-enabled cyber threats.

This is applied research with real-world stakes. Your work will inform decisions at the highest levels of the company, contribute to demonstrations that shape policy discourse, and build the technical defenses that we will need for a future of increasingly powerful AI systems.

What You'll Do

• Develop systems, tools, and frameworks for AI-empowered cybersecurity, such as autonomous vulnerability discovery and remediation, malware detection and management, network hardening, and pentesting

• Design and run experiments to elicit and evaluate autonomous AI cyber capabilities in realistic scenarios

• Design and build infrastructure for evaluating and enabling AI systems to operate in security environments

• Translate technical findings into compelling demonstrations and artifacts that inform policymakers and the public

• Collaborate with external experts in cybersecurity, national security, and AI safety to scope and validate research directions

Sample Projects

• Building frameworks and tools that enable AI models to autonomously find and patch vulnerabilities

• Running purple-team simulations where AI defenders compete against AI attackers in network environments

• Pointing autonomous AI systems at real-world security challenges (bug bounties, CTFs etc.) to characterize risks, defensive potential, and compare to human experts

• Building demonstrations of frontier AI cyber capabilities for policy stakeholders

You May Be a Good Fit If You

• Have deep expertise in cybersecurity or security research

• Are driven to find solutions to complex, high-stakes problems

• Have experience doing technical research with LLM-based agents or autonomous systems

• Have strong software engineering skills, particularly in Python

• Can own entire problems end-to-end, including both technical and non-technical components

• Design and run experiments quickly, iterating fast toward useful results

• Thrive in collaborative environments

• Care deeply about AI safety and want your work to have real-world impact on how humanity navigates advanced AI

• Are comfortable working on sensitive projects that require discretion and integrity

• Have proven ability to lead cross-functional security initiatives and navigate complex organizational dynamics

Strong Candidates May Also Have

• Experience with offensive security research, vulnerability research, or exploit development

• Research or professional experience applying LLMs to security problems

• Track record in competitive CTFs, bug bounties, or other security-related competitions

• Experience building security tools or automation

• Track record of building demos or prototypes that communicate complex technical ideas

• Experience working with external stakeholders (policymakers, government, researchers)

• Familiarity with AI safety research and threat modeling for advanced 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

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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 Team

The Frontier Red Team (FRT) is a small, focused technical research team within Anthropic's Policy organization. Our goal is to make the entire world safer in this era of advanced AI by understanding what these systems can do and building the defenses that matter.

In 2026, we're focused on researching and ensuring safety with self-improving, highly autonomous AI systems—especially ones with cyberphysical capabilities. See our previous related work on cyberdefense, robotics, and Project Vend. This is early-stage, high-conviction research with the potential for outsized impact.

About the Role

Our team is focused on a critical question: how do we defend against a world where powerful, autonomous, self-improving AI systems may be used adversarially?

As a Research Engineer on our team, you'll build and eval model organisms of autonomous systems and develop the defensive agents needed to counter them. This work sits at the intersection of AI capabilities research, security, and policy—what we learn directly shapes how Anthropic and the world prepare for advanced AI.

This is applied research with real-world stakes. Your work will inform decisions at the highest levels of the company, contribute to public demonstrations that shape policy discourse, and help build technical defenses that could matter enormously as AI systems become more capable.

What You'll Do

• Design and build autonomous AI systems that can use tools and operate across diverse environments—creating model organisms that help us understand and defend against advanced adversarial AI

• Create evals and training environments to understand and shape agent behavior in desirable ways

• Develop defensive agents that can detect, disrupt, or outcompete adversarial AI systems in realistic scenarios

• Interface Claude with hardware platforms (e.g. robotics, physical systems) to understand cyberphysical risks and defenses

• Translate technical findings into compelling demonstrations and artifacts that inform policymakers and the public

• Collaborate with external experts in cybersecurity, national security, and AI safety to scope and validate research directions

Sample Projects

• Developing systems where Claude controls diverse hardware and robotics platforms simultaneously

• Creating attack-defend simulations (CTFs, wargames, adversarial games) to test defensive AI capabilities

• Designing and implementing RL environments for training defensive agents

• Pointing autonomous systems at real-world security challenges to characterize risks and develop mitigations

You May Be a Good Fit If You

• Have strong software engineering skills, particularly in Python

• Have experience building and working with LLM-based agents or autonomous systems

• Are driven to find solutions to ambiguously scoped, high-stakes problems

• Design and run experiments quickly, iterating fast toward useful results

• Thrive in collaborative environments (we love pair programming!)

• Care deeply about AI safety and want your work to have real-world impact on how humanity navigates advanced AI

• Can own entire problems end-to-end, including both technical and non-technical components

• Are comfortable working on sensitive projects that require discretion and integrity

Strong Candidates May Also Have

• Experience with reinforcement learning, self-play, or multi-agent systems

• Experience with robotics, hardware interfaces, or cyberphysical systems

• Track record of building demos or prototypes that communicate complex technical ideas

• Experience working with external stakeholders (policymakers, government, researchers)

• Familiarity with AI safety research and threat modeling for advanced 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 recruiters to help us find the best candidates for our open roles.

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Working closely with our Post-Sales, Product, and Engineering teams, you'll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability.

You will sit at the frontier of enterprise AI deployments and serve as one of our founding FDEs who helps to shape our forward-deployed motion. We expect our FDEs to operate autonomously, thrive under ambiguity, and represent Anthropic at the highest level in customer environments. This is a significant responsibility: you’ll play a key role in championing our mission in the enterprise.

Responsibilities

• Work within customer systems to build production applications with Claude models, ensuring that these products meet customer requirements.
• Deliver technical artifacts for customers, such as MCP servers, sub-agents, and agent skills, that will be used in production workflows.
• Provideษ deployment support for Anthropic products in enterprise environments.
• Identify and codify reusable deployment patterns and provide information to our Product and Engineering teams.
• Maintain a deep understanding of the latest developments in LLM capabilities, implementation models, and product development technology stacks.
• Establish long-term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement.
• Frequently travel (25-50%) to customer sites to build personal relationships with them.
• Be a champion of the Anthropic mission on the ground.

Profile

• You have more than 4 years of experience in a technical customer-facing role, such as a Forward Deployed Engineer or a Software Engineer with a customer-facing background. Former technical founders are also encouraged to apply.
• You have experience in production with LLMs, including advanced engineering of prompts, development of agents, evaluation frameworks, and large-scale deployment.
• You have solid programming skills with a mastery of Python (and ideally one or more other languages such as TypeScript, Java, etc.) and experience shipping production applications.

High action capacity, able to navigate the ambiguity that characterizes complex organizations.

• High cooperation spirit for inter-organizational collaboration, balancing competing priorities with integrity.
• Passion for promoting safe and beneficial AI systems through creative technical applications.
• Solid communication skills to lead exploratory discussions with customers and convey technical concepts to various stakeholders while maintaining a humble and collaborative attitude.
• Experience in the finance, healthcare/life sciences, or another industry is an asset.
• Experience with enterprise IT systems and/or AI deployment models is an asset.

As a member of the Applied AI team at Anthropic, you will be a Forward Deployed Engineer (FDE) who embeds directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems. Our FDEs engage with customers to accelerate the adoption of existing products and create new applications built on our models.

Working closely with our Post-Sales, Product, and Engineering teams, you'll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability.

You will sit at the frontier of enterprise AI deployments and serve as one of our founding FDEs who helps to shape our forward-deployed motion. We expect our FDEs to operate autonomously, thrive under ambiguity, and represent Anthropic at the highest level in customer environments. This is a significant responsibility: you’ll play a key role in championing our mission in the enterprise.

Responsibilities

• Work within customer systems to build production applications with Claude models, ensuring that these products meet customer requirements.
• Deliver technical artifacts for customers, such as MCP servers, sub-agents, and agent skills, that will be used in production workflows.
• Provide deployment support for Anthropic products in enterprise environments.
• Identify and codify reusable deployment patterns and provide information to our Product and Engineering teams.
• Maintain a deep understanding of the latest developments in LLM capabilities, implementation models, and product development technology stacks.
• Establish long-term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement.
• Frequently travel (25-50%) to customer sites to build personal relationships with them.
• Be a champion of the Anthropic mission on the ground.

Profile

• You have more than 4 years of experience in a technical customer-facing role, such as a Forward Deployed Engineer or a Software Engineer with a customer-facing background. Former technical founders are also encouraged to apply.
• You have experience in production with LLMs, including advanced engineering of prompts, development of agents, evaluation frameworks, and large-scale deployment.
• You have solid programming skills with a mastery of Python (and ideally one or more other languages such as TypeScript, Java, etc.) and experience shipping production applications.

High action capacity, able to navigate the ambiguity that characterizes complex organizations.

• High cooperation spirit for inter-organizational collaboration, balancing competing priorities with integrity.
• Passion for promoting safe and beneficial AI systems through creative technical applications.
• Solid communication skills to lead exploratory discussions with customers and convey technical concepts to various stakeholders while maintaining a humble and collaborative attitude.
• Experience in the finance, healthcare/life sciences, or another industry is an asset.
• Experience with enterprise IT systems and/or AI deployment models is an asset.

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As a member of the Applied AI team at Anthropic, you will be a Forward Deployed Engineer (FDE) who embeds directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems.

Working closely with our Post-Sales, Product, and Engineering teams, you'll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability.

You will sit at the frontier of enterprise AI deployments and serve as one of our founding FDEs who helps to shape our forward-deployed motion. We expect our FDEs to operate autonomously, thrive under ambiguity, and represent Anthropic at the highest level in customer environments. This is a significant responsibility: you’ll play a key role in championing our mission in the enterprise.

Responsibilities:

• Work within customer systems to build production applications with Claude models, ensuring that these products meet customer requirements.
• Deliver technical artifacts for customers like MCP servers, sub-agents, and agent skills that will be used in production workflows.
• Provide white glove deployment support for Anthropic products in enterprise environments.
• Identify and codify repeatable deployment patterns and contribute insights back to our Product and Engineering teams.
• Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks.
• Build long term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement.
• Travel frequently (25-50%) to customer sites to build in person with customers.
• Be a champion for Anthropic’s mission in the field.

You May Be a Good Fit If You Have:

• 4+ years of experience in a technical, customer facing role such as Forward Deployed Engineer, or as a Software Engineer with consulting experience. Former technical founders are also encouraged to apply.
• Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale.
• Strong programming skills with proficiency in Python (and ideally in one or more additional languages like Typescript, Java, etc) and experience shipping production applications
• High agency with an ability to navigate ambiguity present in complex organizations.
• High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity.
• Passion for advancing safe, beneficial AI systems through creative technical applications.
• Strong communication skills to conduct discovery with customers and to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach.
• A background in financial services, healthcare/life sciences, or another enterprise vertical is a plus.
• Experience with enterprise IT systems and/or AI deployment patterns is a plus.
• Experience working as an FDE or in a professional services context is a plus.

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

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We're looking for a senior, deeply technical TPM to own delivery of Replit's highest-stakes, most complex programs—starting with our evergreen Agent roadmaps. This is an IC role for someone who has previously been an engineering manager or senior engineer, can operate comfortably in AI/LLM-heavy systems, and brings order, momentum, and sharp decision-making to cross-team ambiguity. The ideal candidate uses AI and automation aggressively to scale themselves, but understands that the core value is clarity, tradeoffs, and execution, not just tooling.

You Will

• Own end-to-end delivery of Replit's most complex, cross-functional programs, with Agent development as the primary, evergreen focus
• Drive execution across Product, Eng, Research, GTM, and Leadership—surfacing dependencies, risks, and disagreements early
• Operate as the technical glue between teams: able to follow architecture decisions, challenge assumptions, and translate tradeoffs without slowing velocity
• Establish and run program operating cadence (milestones, reviews, decision logs, retros) for long-running bets
• Use AI, automation, and agent workflows to scale program management (status synthesis, risk detection, incident follow-ups, guardrails, retros)
• Take on additional high-stakes programs as needed (e.g. Enterprise initiatives, external integrations, priority conflicts)
• Partner closely with EMs and PMs without duplicating their roles—this role exists where ownership is otherwise fragmented

Required skills and experience

• 8+ years of TPM experience (or equivalent) with a track record of leading complex, high-impact programs
• Deep technical fluency in systems like distributed architecture, infrastructure, platform engineering, or AI/ML
• Clear, direct communication style with strong decision-making skills
• Thrives in ambiguity and can drive progress independently—this is a high-impact IC role, not the foundation of a TPM organization

Preferred Qualifications

• Background as an engineering manager or senior engineer
• Experience leveraging AI tools, agents, or automation to increase execution velocity—we'd love to hear specific examples
• Values clarity and momentum over process for process's sake

Bonus Points

• You've led programs for AI/ML or agent-based systems
• You've brought structure and accountability to cross-functional initiatives in fast-paced environments
• You have a portfolio of ways you've used automation or tooling to scale your impact as a program manager

Full-Time Employee Benefits Include:

💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🚗 Commuter Benefits 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement 🏝 Flexible Time Off (FTO) + Holidays 🚀 Quarterly Team Gatherings ☕ In Office Amenities

Want to learn more about what we are up to?

• Meet the Replit Agent
• Replit: Make an app for that
• Replit Blog
• Amjad TED Talk

Interviewing + Culture at Replit

• Operating Principles
• Reasons not to work at Replit

To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Compensation Range: $208K - $286K

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San Francisco

Employment Type

Full time

Department

Safety Systems

Compensation

• Estimated Base Salary $295K – $445K

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 Safety Systems org ensures that OpenAI’s most capable models can be responsibly developed and deployed. We build evaluations, safeguards, and safety frameworks that help our models behave as intended in real-world settings.

The Preparedness team is an important part of the Safety Systems org at OpenAI, and is guided by OpenAI’s Preparedness Framework.

Frontier AI models have the potential to benefit all of humanity, but also pose increasingly severe risks. To ensure that AI promotes positive change, the Preparedness team helps us prepare for the development of increasingly capable frontier AI models. This team is tasked with identifying, tracking, and preparing for catastrophic risks related to frontier AI models.

The mission of the Preparedness team is to:

1. Closely monitor and predict the evolving capabilities of frontier AI systems, with an eye towards risks whose impact could be catastrophic
2. Ensure we have concrete procedures, infrastructure and partnerships to mitigate these risks and to safely handle the development of powerful AI systems

Preparedness tightly connects capability assessment, evaluations, and internal red teaming, and mitigations for frontier models, as well as overall coordination on AGI preparedness. This is fast paced, exciting work that has far reaching importance for the company and for society.

About the role

This role leads the Automated Red Teaming (ART) effort: building scalable, research-driven systems that continuously discover failure modes in our models and mitigations — and translate those findings into actionable, production-facing improvements. The goal is to maximize counterfactual reduction in expected harm by finding the highest-leverage, least-covered weaknesses early and reliably.

In this role you will

You will own the research and technical direction for automated red teaming across catastrophic risk areas, with an initial emphasis on:

• Automated classifier jailbreak discovery (cyber and bio)
• Automated bio threat-development elicitation (worst-feasible planning uplift)
• CoT monitoring evasion probing (and adjacent loss-of-control evaluations)

You will partner tightly with:

• Vertical risk teams (Cyber, Bio, Loss of Control) to define threat models, prioritize targets, and land mitigations
• The Classifiers team to turn discovered attacks into training data, evals, and measurable robustness gains
• Product / eng / safety stakeholders to ensure ART outputs are operationally useful (not just interesting)

You might thrive in this role if you:

• Feel a strong pull toward AI safety, and you’re motivated by reducing real-world catastrophic risk (not just publishing cool results)
• Love breaking systems (responsibly) — you get energy from finding weird, high-severity failure modes and turning them into concrete fixes
• Have strong applied research instincts, especially around evaluations: you’re good at designing experiments that are reproducible, interpretable, and hard to fool
• Bring hands-on experience with LLMs and agents, including multi-turn behaviors, tool use, and the ways models adapt to constraints
• Are comfortable building scalable automation, not just prototypes — you can turn red-teaming ideas into pipelines that run continuously and produce high-signal outputs
• Have solid software engineering fundamentals (data structures, algorithms, testing discipline) and you can work effectively in a production-adjacent environment
• Think in threat models and incentives, and you naturally ask “what would an attacker do next?” or “how would this fail under pressure?”
• Can translate messy findings into action, communicating clearly with researchers, engineers, product, and policy — and driving alignment on what to fix first
• Care about efficiency and prioritization, and you’re happy to say “no” to low-level

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About the Team

OpenAI’s AI Deployment Manager team partners with the world’s most ambitious organisations to help them turn cutting-edge AI capabilities into everyday impact. We specialise in technical enablement and adoption, guiding customers through how to effectively use OpenAI’s products across teams, workflows, and stages of maturity.

Our work spans structured workshops, technical enablement, and adoption programs that help customers move from initial exposure to confident, scalable use. We work closely with Sales, AI Success Engineers, Solutions Engineering, and Product to ensure customers are not only enabled, but set up for long-term success as OpenAI’s platform evolves.

About the Role

The AI Deployment Manager role is a specialist post-sales enablement role focused on delivering high-impact enablement and adoption services across OpenAI’s product suite. This role is responsible for designing and delivering technical enablement experiences that support a repeatable adoption framework– driving sustained activation, expanding breadth and depth of usage, and measurable business value across OpenAI’s product suite, including ChatGPT Enterprise, Codex, Agents, and the API.

This role blends deep technical fluency, instructional design, and customer advisory. You will lead live trainings, workshops, and adoption interventions for audiences ranging from hands-on builders to executive leaders, helping customers understand not just what OpenAI’s products can do, but how to use them effectively in real-world contexts.

Success in this role means accelerating customer confidence, increasing product adoption, supporting successful launches of new product capabilities, and helping customers translate technical features into tangible outcomes.

In this role, you will:

• Own the technical enablement of OpenAI products, including ChatGPT Enterprise, Codex, Agents, and API capabilities, helping define effective enablement patterns that support adoption across customer segments.

• Lead customer training and enablement across the full customer lifecycle, from initial onboarding through expansion, optimisation, and long-term adoption.

• Design and deliver high-impact training engagements, including onboarding sessions, advanced capability trainings, executive briefings, hackathons, and hands-on workshops for audiences ranging from senior leaders to working teams.

• Drive customer activation, sustained usage, and measurable business value through structured enablement and deployment programs designed for durable adoption at scale.

• Partner closely with Sales, AI Success Engineers, Solutions Engineering, and Product teams to ensure seamless handoff from pre- to post-sale and consistent customer experience.

• Develop and refine reusable training assets, playbooks, and best practices based on patterns observed across customers and regions.

• Gather customer feedback from training and enablement engagements, synthesise themes across accounts, and relay insights to internal stakeholders to inform product and program improvements.

You’ll thrive in this role if you:

• Have 4+ years of experience in customer-facing or instructional roles, engaging C-level and senior technical audiences in complex enterprise environments.

• Possess exceptional presentation and communication skills, particularly when conveying the value of technical concepts clearly to senior and executive-level audiences.

• Strong technical depth across coding, agents, and APIs, with a practical understanding of how AI systems are built, evaluated, and operated in production, including RAG, evaluation strategies, fine-tuning, and key tradeoffs.

• Proven experience leading structured technical trainings, such as API bootcamps, workshops, or enablement sessions, with the ability to design learning journeys, handle live questions, and reason through problems in real time.

• Strong ability to connect technical features and capabilities to concrete business outcomes such as productivity, efficiency, cost reduction, risk mitigation, or revenue impact.

• Have a humble attitude, an eagerness to help others, and a desire to pick up whatever knowledge you’re missing to make both your team and our customers succeed.

• Comfortable thinking on their feet in live customer settings, adapting quickly to new information, shifting priorities, and real-time questions while maintaining clarity, ownership, and momentum.

• Are personally committed to fostering the safe and ethical evolution of AI.

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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About the role

We’re looking for product-minded software engineers to join the Marketing Innovation team.

As a Software Engineer on this team, you will build and own autonomous, customer-facing agentic systems that interface directly with enterprise customers, prospects, and revenue-critical workflows. You will partner closely with functional leaders across scaled revenue, demand gen, and marketing to understand desired outcomes, then translate those needs into production-grade systems.

You will move quickly from ambiguous problem statements to working software in production. Your work will be measured not by output, but by impact: revenue, enterprise pipeline, and Marketing efficiency.

This role is ideal for engineers who want ownership over real systems, enjoy building 0->1 products, and are excited to define new categories of AI-native products and workflows.

In this role, you will:

• Build autonomous and semi-autonomous customer-facing and internal agentic systems that directly drive Revenue, Pipeline, and Marketing efficiency.

• Own end-to-end product execution, from early prototypes to reliable production systems with strong instrumentation and evals.

• Work across the full stack, including APIs, orchestration, data flows, frontend experiences, and deployment.

• Partner closely with marketing, demand gen, and enterprise sales stakeholders to define success metrics and functional requirements.

• Apply OpenAI models and tooling in novel ways, making informed tradeoffs between models, platforms, and architectures.

• Continuously iterate based on live usage, agent behavior, and performance data.

You’ll thrive in this role if you

• Have 4+ years of experience as a software, product, or ML engineer working on user- or customer-facing systems.

• Have built, deployed, or operated complex systems in production, ideally including agents or automation at scale.

• Are comfortable working without a groomed backlog and enjoy framing problems, proposing solutions, and executing end-to-end.

• Are fluent in Python or JavaScript and comfortable building full-stack applications.

• Have hands-on experience with APIs, cloud infrastructure, orchestration, and production monitoring.

• Are curious about modern AI models and excited to experiment with how evolving capabilities change system design.

• Have familiarity with sales, marketing, or go-to-market workflows, or are eager to learn how revenue systems operate.

• Operate with a strong sense of ownership, move quickly, and care deeply about measurable business outcomes.

• Are collaborative, pragmatic, and motivated to build at the frontier of applied AI.

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,

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About the role

As a Research Engineer, you will join a team of 40+ Researchers and Engineers within the R&D Department working on cutting edge challenges in the Generative AI space, with a focus on avatar-centric interactive video diffusion models. Within the team you’ll have the opportunity to work on the applied side of our research efforts and directly impact our solutions that are used worldwide by over 60,000 businesses.

Responsibilities

• Adapt diffusion models to incorporate diverse conditioning signals (e.g., audio, motion, interaction cues).
• Develop methods for streaming infinitely long video sequences at real-time rates.
• Work on the perceptual layer of interactive agents, including understanding user audio and generating appropriate contextual reactions.
• Improve lip-sync accuracy, motion realism, and overall visual quality in video diffusion models.
• Build robust evaluation frameworks and test suites to enable continuous quality tracking.
• Collaborate closely with our data team to define data needs and ensure high-quality datasets.
• Stay up to date with research in world models, interactive human/agent modeling, diffusion models, and related areas.

What we're looking for:

• Comfortable owning and executing on the responsibilities listed above.
• Strong ML (e.g., diffusion, GANs, VAEs) and computer vision background with relevant industry experience.
• Hands-on experience with diffusion models (ideally avatar-centric or video-focused) and up to date with recent advances.
• Proficient in PyTorch and familiar with modern ML frameworks and tooling.
• Strong Python engineering skills, confident with git and version control, and a commitment to clean, maintainable research code.
• Outcome-driven, detail-oriented, and motivated to push state-of-the-art research into real product impact.
• Clear communicator of hypotheses, experiments, and results.

What will make you stand out:

• Experience with audio-conditioned video diffusion models and deep knowledge of recent video DiT architectures.
• Demonstrated ability to own the full model development pipeline end to end, from data preparation to model design, training, and evaluation.
• A strong publication record in areas such as world models, interactive agents, or video diffusion models.

Why join us?

We’re living the golden age of AI. The next decade will yield the next iconic companies, and we dare to say we have what it takes to become one. Here’s why,

Our culture

At Synthesia we’re passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. You can find out more about these principles here.

Serving 50,000+ customers (and 50% of the Fortune 500)

We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2.

Proprietary AI technology

Since 2017, we’ve been pioneering advancements in Generative AI. Our AI technology is built in-house, by a team of world-class AI researchers and engineers. Learn more about our AI Research Lab and the team behind.

AI Safety, Ethics and Security

AI safety, ethics, and security are fundamental to our mission. While the full scope of Artificial Intelligence's impact on our society is still unfolding, our position is clear: People first. Always.  Learn more about our commitments to AI Ethics, Safety & Security.

The good stuff...

• Competitive compensation (salary + stock options + bonus)
• Hybrid work setting with an office in London, Amsterdam, Zurich, Munich, or remote in Europe.
• 25 days of annual leave + public holidays
• Great company culture with the option to join regular planning and socials at our hubs
• \+ other benefits depending on your location

You can see more about Who we are and How we work here: https://www.synthesia.io/careers

LI-MD1

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Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Compensation

• $162K – $230K • 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 Deployment Manager team partners with the world’s most ambitious organizations to help them turn cutting-edge AI capabilities into everyday impact. We specialize in technical enablement and adoption, guiding customers through how to effectively use OpenAI’s products across teams, workflows, and stages of maturity.

Our work spans structured workshops, technical enablement, and adoption programs that help customers move from initial exposure to confident, scalable use. We work closely with Sales, AI Success Engineers, Solutions Engineering, and Product to ensure customers are not only enabled, but set up for long-term success as OpenAI’s platform evolves.

Our customers range from fast-growing digital natives to the largest global enterprises, government agencies, and educational institutions. Every engagement is an opportunity to ensure that AI benefits the way people work, build, and innovate. This role sits at the center of that mission.

About the Role

The AI Deployment Manager role is a specialist post-sales enablement role focused on delivering high-impact enablement and adoption services across OpenAI’s product suite. This role is responsible for designing and delivering technical enablement experiences that support a repeatable adoption framework– driving sustained activation, expanding breadth and depth of usage, and measurable business value across OpenAI’s product suite, including ChatGPT Enterprise, Codex, Agents, and the API. This includes helping customers understand and correctly apply the deployment harnesses, evaluation layers, and operational controls required for reliable use.

This role blends deep technical fluency, instructional design, and customer advisory. You will lead live trainings, workshops, and adoption interventions for audiences ranging from hands-on builders to executive leaders, helping customers understand not just what OpenAI’s products can do, but how to use them effectively in real-world contexts.

Success in this role means accelerating customer confidence, increasing product adoption, supporting successful launches of new product capabilities, and helping customers translate technical features into tangible outcomes.

This role is based in our San Francisco HQ. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Own the technical enablement of OpenAI products, including ChatGPT Enterprise, Codex, Agents, and API capabilities, helping define effective enablement patterns that support adoption across customer segments.

• Lead customer training and enablement across the full customer lifecycle, from initial onboarding through expansion, optimization, and long-term adoption.

• Design and deliver high-impact training engagements, including onboarding sessions, advanced capability trainings, executive briefings, hackathons, and hands-on workshops for audiences ranging from senior leaders to working teams.

• Drive customer activation, sustained usage, and measurable business value through structured enablement and deployment programs designed for durable adoption at scale.

• Partner closely with Sales, AI Success Engineers, Solutions Engineering, and Product teams to ensure seamless handoff from pre- to post-sale and consistent customer experience.

• Develop and refine reusable training assets, playbooks, and best practices based on patterns observed across customers and regions.

• Gather customer feedback from training and enablement engagements, synthesize themes across accounts, and relay insights to internal stakeholders to inform product and program improvements.

You’ll thrive in this role if you:

• Have 4+ years of experience in customer-facing or instructional roles, engaging C-level and senior technical audiences in complex enterprise environments.

• Possess a deep understanding of AI and machine learning concepts, as well as experience with OpenAI’s products or similar technologies.

• Are an exceptional communicator and trainer, able to distill complex technical concepts into clear, actionable guidance for diverse audiences.

• Are a strategic thinker, able to develop and execute plans that drive business outcomes and customer success.

• Are a collaborative team player, able to work effectively with cross-functional teams to achieve shared goals.

• Are a lifelong learner, committed to staying up-to-date with the latest developments in AI and machine learning.

• Are passionate about customer success and committed to delivering exceptional results.

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Location

New York City

Employment Type

Full time

Location Type

Hybrid

Department

Compensation

• $162K – $230K • 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 Deployment Manager team partners with the world’s most ambitious organizations to help them turn cutting-edge AI capabilities into everyday impact. We specialize in technical enablement and adoption, guiding customers through how to effectively use OpenAI’s products across teams, workflows, and stages of maturity.

Our work spans structured workshops, technical enablement, and adoption programs that help customers move from initial exposure to confident, scalable use. We work closely with Sales, AI Success Engineers, Solutions Engineering, and Product to ensure customers are not only enabled, but set up for long-term success as OpenAI’s platform evolves.

Our customers range from fast-growing digital natives to the largest global enterprises, government agencies, and educational institutions. Every engagement is an opportunity to ensure that AI benefits the way people work, build, and innovate. This role sits at the centre of that mission.

About the Role

The AI Deployment Manager role is a specialist post-sales enablement role focused on delivering high-impact enablement and adoption services across OpenAI’s product suite. This role is responsible for designing and delivering technical enablement experiences that support a repeatable adoption framework– driving sustained activation, expanding breadth and depth of usage, and measurable business value across OpenAI’s product suite, including ChatGPT Enterprise, Codex, Agents, and the API. This includes helping customers understand and correctly apply the deployment harnesses, evaluation layers, and operational controls required for reliable use.

This role blends deep technical fluency, instructional design, and customer advisory. You will lead live trainings, workshops, and adoption interventions for audiences ranging from hands-on builders to executive leaders, helping customers understand not just what OpenAI’s products can do, but how to use them effectively in real-world contexts.

Success in this role means accelerating customer confidence, increasing product adoption, supporting successful launches of new product capabilities, and helping customers translate technical features into tangible outcomes.

This role is based in NYC office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Own the technical enablement of OpenAI products, including ChatGPT Enterprise, Codex, Agents, and API capabilities, helping define effective enablement patterns that support adoption across customer segments.

• Lead customer training and enablement across the full customer lifecycle, from initial onboarding through expansion, optimization, and long-term adoption.

• Design and deliver high-impact training engagements, including onboarding sessions, advanced capability trainings, executive briefings, hackathons, and hands-on workshops for audiences ranging from senior leaders to working teams.

• Drive customer activation, sustained usage, and measurable business value through structured enablement and deployment programs designed for durable adoption at scale.

• Partner closely with Sales, AI Success Engineers, Solutions Engineering, and Product teams to ensure seamless handoff from pre- to post-sale and consistent customer experience.

• Develop and refine reusable training assets, playbooks, and best practices based on patterns observed across customers and regions.

• Gather customer feedback from training and enablement engagements, synthesize themes across accounts, and relay insights to internal stakeholders to inform product and program improvements.

You’ll thrive in this role if you:

• Have 4+ years of experience in customer-facing or instructional roles, engaging C-level and senior technical audiences in complex enterprise environments.

• Possess

XML job scraping automation by YubHub

Location

Remote - US

Employment Type

Full time

Location Type

Remote

Department

Compensation

• Zone A$145.8K – $207K • Offers Equity
• Zone B$129.6K – $184K • 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 AI Deployment Manager team partners with the world’s most ambitious organizations to help them turn cutting-edge AI capabilities into everyday impact. We specialize in technical enablement and adoption, guiding customers through how to effectively use OpenAI’s products across teams, workflows, and stages of maturity.

About the Role

The AI Deployment Manager role is a specialist post-sales enablement role focused on delivering high-impact enablement and adoption services across OpenAI’s product suite. This role is responsible for designing and delivering technical enablement experiences that support a repeatable adoption framework– driving sustained activation, expanding breadth and depth of usage, and measurable business value across OpenAI’s product suite, including ChatGPT Enterprise, Codex, Agents, and the API. This includes helping customers understand and correctly apply the deployment harnesses, evaluation layers, and operational controls required for reliable use.

This role blends deep technical fluency, instructional design, and customer advisory. You will lead live trainings, workshops, and adoption interventions for audiences ranging from hands-on builders to executive leaders, helping customers understand not just what OpenAI’s products can do, but how to use them effectively in real-world contexts.

Success in this role means accelerating customer confidence, increasing product adoption, supporting successful launches of new product capabilities, and helping customers translate technical features into tangible outcomes.

In this role, you will:

• Own the technical enablement of OpenAI products, including ChatGPT Enterprise, Codex, Agents, and API capabilities, helping define effective enablement patterns that support adoption across customer segments.
• Lead customer training and enablement across the full customer lifecycle, from initial onboarding through expansion, optimization, and long-term adoption.
• Design and deliver high-impact training engagements, including onboarding sessions, advanced capability trainings, executive briefings, hackathons, and hands-on workshops for audiences ranging from senior leaders to working teams.
• Drive customer activation, sustained usage, and measurable business value through structured enablement and deployment programs designed for durable adoption at scale.
• Partner closely with Sales, AI Success Engineers, Solutions Engineering, and Product teams to ensure seamless handoff from pre- to post-sale and consistent customer experience.
• Develop and refine reusable training assets, playbooks, and best practices based on patterns observed across customers and regions.
• Gather customer feedback from training and enablement engagements, synthesize themes across accounts, and relay insights to internal stakeholders to inform product and program improvements.

You’ll thrive in this role if you:

• Have 4+ years of experience in customer-facing or instructional roles, engaging C-level and senior technical audiences in complex enterprise environments.
• Possess exceptional presentation and communication skills,

XML job scraping automation by YubHub

Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Applied AI

Compensation

• $230K – $325K • 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

Applied Evals defines what good looks like for safe, advanced AI systems. We turn complex, high-value workflows into clear, reproducible signals that guide model training and product quality. Our work bridges frontier customers and models, ensuring improvements show up where users experience them. We combine hands-on, unscalable efforts with systems that others can extend, creating a compounding loop of model improvement.

About the Role

We’re hiring product-minded engineers to design and build evals and harnesses that capture real-world quality for advanced AI systems. You’ll own the loop from prototyping with users to building reliable pipelines and integrating signals into training stacks. This role sits at the center of model improvement. The systems you design will directly shape how models behave, accelerate their reliability, and raise the standard for what customers expect.

You’ll collaborate closely with research and product teams and work across the stack, from backend pipelines to user-facing interfaces. The work includes evaluating multi-turn and tool-using systems, designing agent harnesses, and applying reinforcement learning and related methods in production settings. Engineers who succeed in this role bring both a builder’s mindset and the judgment to create reusable systems that others can build on. Many thrive here by operating like founders or founding engineers, taking initiative, moving quickly, and creating structure where none exists.

This role is based in our San Francisco HQ. We use a hybrid work model of 3 days in the office per week and offer relocation assistance.

In this role, you will:

• Define the core evaluation signals that drive model improvement at OpenAI, turning vague product gaps into crisp, defensible measures of quality

• Design agents, harnesses, and eval pipelines that are reliable, reproducible, and extendable

• Prototype solutions with real workflows and convert them into scalable feedback loops

• Connect evaluation signals directly to research and training systems so product improvements show up in what users experience

• Shape model interaction paradigms by partnering with engineering, research, and product teams on how models are deployed and measured

• Build reusable systems and tools that enable contributions from across the company and steadily raise the quality bar

You’ll thrive in this role if you:

• Bring 4+ years of experience in software engineering with strong fundamentals and a track record of shipping production systems end-to-end

• Have experience building AI agents or applications, including designing evals and improving performance through prompting or scaffolding

• Are familiar with evaluation methods for LLMs and have worked with patterns like multi-agent workflows, tool use, or long context.

• Are familiar with deep learning concepts or have prior exposure to training models.

• Communicate clearly across technical and non-technical audiences across levels

• Are motivated by high-impact collaboration with research and product teams and thrive in ambiguity

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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Full Stack Software Engineer, Jobs Platform

Location

San Francisco

Employment Type

Full time

Department

Applied AI

Compensation

• $293K – $490K • 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 Role

We’re looking for exceptional engineers to help build one of the most transformative applications of AI: using ChatGPT to expand economic opportunity at scale. This is a unique chance to work at the intersection of agents, search/matching, personalization, UX, and real-world economic impact and building AI products that _directly change people’s lives_.

Millions already turn to ChatGPT for career help, but the job market is stuck in static résumés, keyword search, and opaque hiring. We’re building something different: a career agent that understands your skills, helps you prove them through certifications, and works nonstop to unlock opportunities — leading to a network where worker and employer agents match on real capabilities, not job boards.

In this role, you will:

• Own major product surfaces end-to-end to build the next-generation AI-powered jobs platform

• Design and ship core systems for matching, candidate verification, skills representation, and workflow automation

• Work with research to turn new model and agent capabilities into production features that help users prove skills, certify expertise, and find great opportunities

• Build high-trust, scalable systems that support millions of job seekers and employers

• Run experiments, talk to users, and iterate quickly to identify what drives successful outcomes, not clicks or resumes

• Optimize for speed, reliability, and security, ensuring a trusted platform for economic mobility

You may be a good fit if you have:

• 5+ years of software engineering experience building highly-available user-facing products

• Experience working across the stack (frontend + backend) and comfort owning features end-to-end

• Passion for marketplaces, matching systems, or search/personalization, even if you haven't built one before

• Interest in AI-driven UX, agents, and workflow automation (direct ML experience not required)

• Enthusiasm for working in a fast-moving, ambiguous environment where new ideas ship quickly and user impact matters most

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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San Francisco; Seattle

Employment Type

Full time

Department

Applied AI

Compensation

• $230K – $385K • 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 Support Automation team at OpenAI scales the organization by applying cutting-edge AI models to real-world challenges, automating and enhancing work across the organization. From customer operations to engineering, we develop an ecosystem of automation products that empower our colleagues and drive impact. We're passionate about crafting products that serve those around us, blending rapid prototyping with a focus on long-term quality and reliability. By creating reusable solutions, we create patterns that can be applied across diverse domains within OpenAI.

TLDR: this team leverages OpenAI technology to improve OpenAI, and you’ll have the opportunity to leverage the full extent of our tech (both public and pre-released) to accomplish this mission.

About the Role

We’re looking for a Backend Software Engineer with experience working in ML/LLM-heavy domains to help to design and build an evals infrastructure that measures the quality of OpenAI’s support automation. This is a deeply technical and highly cross-functional role where you’ll build robust systems and backend services that serve as the foundation for how knowledge is created, accessed, and applied across OpenAI. The role will especially focus on working closely with Data Science and Research partners to design and build evals at scale.

In this role, you will:

• Design eval pipelines that are reliable, reproducible, and extendable

• Build the infrastructure for continuous eval monitoring frameworks (regression/drift monitoring, building robust golden datasets) along with feedback loops that ultimately strengthen support automation

• Design, build, and maintain backend services and APIs to support intelligent automation and knowledge systems

• Integrate and structure data across internal platforms, transforming it into formats optimized for use by downstream systems and AI workflows.

• Collaborate closely with data, research, and engineering teams to integrate OpenAI models into high-leverage workflows

• Own the full development lifecycle of new backend systems and internal platform capabilities

• Build with scale and maintainability in mind, while rapidly iterating on new ideas

You might be a great fit if you have:

• 4+ years of backend engineering experience at product-driven companies (excluding internships)

• Proficiency in backend technologies. Our tech stack includes Python, FastAPI, and Postgres

• Experience designing and scaling distributed systems, APIs, or data processing pipelines

• Have experience building AI agents or applications, including designing evals and improving performance through prompting or scaffolding

• Are familiar with evaluation methods for LLMs and have worked with patterns like multi-agent workflows, tool use, or long context.

• Experience creating production evals and/or measuring performance of ML/LLM models at scale

• A pragmatic mindset. You’re comfortable shipping iteratively while building toward a long-term vision

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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What you'll do

You will support and enhance internal developer tools, collaborate with cross-functional teams, design, develop, troubleshoot, and debug software tools, drive the adoption and integration of AI-assisted technologies, participate in the end-to-end deployment of DevEx solutions, and balance multiple demands and prioritize tasks.

• Support and enhance internal developer tools utilized company-wide, including IDEs, check-in management, regression testing, and code quality measurement systems.
• Collaborate with cross-functional teams to define requirements for common modules and methodologies, ensuring alignment with modern development practices.
• Design, develop, troubleshoot, and debug software tools using scripting (Python, Perl, Bash, PowerShell) and web application frameworks.
• Drive the adoption and integration of AI-assisted technologies and agentic AI to automate workflows and improve productivity across engineering functions.
• Participate in the end-to-end deployment of DevEx solutions, leveraging CI/CD workflows and microservice architectures.
• Balance multiple demands and prioritize tasks in a fast-paced environment, ensuring high standards of reliability and performance for all delivered solutions.

What you need

• Fluency in English, with strong verbal and written communication skills.
• Proficiency in scripting and automation using Perl, Python, Bash, or PowerShell.
• Experience with both cloud-based and on-premises Linux infrastructure environments.
• Hands-on experience developing applications in C/C++ and Python.
• Exposure to AI coding assistants (e.g., GitHub Copilot, Cursor IDE) and willingness to adopt new AI-driven tools.

What you'll need

• Fluency in English, with strong verbal and written communication skills.
• Proficiency in scripting and automation using Perl, Python, Bash, or PowerShell.
• Experience with both cloud-based and on-premises Linux infrastructure environments.
• Hands-on experience developing applications in C/C++ and Python.
• Exposure to AI coding assistants (e.g., GitHub Copilot, Cursor IDE) and willingness to adopt new AI-driven tools.

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What you'll do

Implement AI solutions to enable efficiency, expansion, and transformation across EA Experiences, directly aligned with EA Experiences' goals. You will:

• Stay informed on the evolution of AI technologies and opportunities to drive efficiency, expansion, and transformation
• Have a deep understanding of AI technologies and solutions, specifically focusing on how they can be integrated into business processes and systems to enhance efficiency
• Collaborate EA Experiences teams to understand their business, processes, opportunities, and challenges.
• Identify opportunities for developing creative AI solutions that enable our teams to focus on creative and innovative work that keeps our fans at the center of what we do
• Be an AI evangelist, promoting the use of AI as a force-multiplier

What you need

• 4+ years experience rapidly prototyping and deploying robust production solutions incorporating software engineering, infrastructure, architectural, and security best practices
• Excellent Python development skills are required, C#, JavaScript, HTML, and CSS are strongly preferred
• Experience using agentic AI software engineering solutions such as Cursor, GitHub CoPilot, or Claude Code
• Extensive experience engineering AI solutions and excellent working knowledge of:
• Prompt and context engineering
• AI agents, agentic architectures, tool calling, and Model Context Protocol (MCP)
• AI assistants, RAG, embeddings, and vector databases
• Model tuning, evaluation, benchmarking, and guardrails
• An excellent understanding of architecture, design principles, and cloud services, such as:
• AWS (Azure, and GCP cloud services are optional)
• Enterprise architecture and microservices design
• Observability and telemetry
• Infrastructure as code and CI/CD
• Data science experience is beneficial
• Content production (e.g. marketing) is strongly beneficial
• Experience navigating the legal, ethical, and security implications for AI
• Thrive working both collaboratively and independently
• Excellent creative, critical thinking, and problem solving skills
• Enjoy and prioritize continual learning- and staying up to date with the newest technologies and solutions and can understand how they can benefit EA Experiences
• Demonstrated ability to clearly and succinctly articulate complex concepts at a senior level
• Experience integrating AI solutions specifically with AAA Console/PC games and businesses is beneficial
• Experience with game engines is beneficial (Unity, Unreal)

Why this matters

This role is a key part of our EA Experiences team, and will help us to create innovative AI solutions that keep our fans at the center of everything we do. As an AI Solutions Engineer, you will be working closely with teams across EA Experiences to develop and implement cutting-edge AI solutions that provide increased efficiency and help our teams focus on what matters most, our fans.

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Microsoft AI are looking for a talented Principal Applied Scientist at their Beijing office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising the field of AI. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

We are seeking an Applied Scientist / AI Architect with strong hands-on experience in building and optimizing large language models (LLMs), agentic AI systems, and end-to-end model training workflows. This role is ideal for scientists with a solid applied background who can translate state-of-the-art research into real-world impact. A research-oriented mindset with publications in top AI/ML venues is highly preferred but not strictly required.

Accountabilities

• Design and implement advanced LLM-based architectures and agentic systems for real-world product scenarios.
• Translate research breakthroughs into production-ready algorithms, contributing to core capabilities such as reasoning, planning, long-term memory, code-gen based design.
• Monitor and improve model performance post-deployment through data-driven iteration and error analysis.
• Collaborate across teams to deliver robust, scalable models aligned with product objectives and user value.
• Contribute to the organization’s scientific direction by identifying research opportunities that drive long-term differentiation.

The Candidate we're looking for

Experience:

• M.S. or Ph.D. in Computer Science, Machine Learning, or a related field, or equivalent practical experience.
• 5+ years of experience in applied machine learning, with a focus on LLMs, agent systems, or reinforcement learning.

Technical skills:

• Strong hands-on experience with prompt engineering, context engineering, retrieval-augmented generation (RAG), tool use, planning agents, and long-context modeling, etc.
• Familiarity with model training pipelines using PyTorch, TensorFlow, JAX, or similar frameworks, evaluation strategies, and model deployment best practices.

Personal attributes:

• Strong coding and debugging skills, and comfort working in cross-functional, agile environments.

Benefits

• Competitive salary and benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.
• Access to cutting-edge technology and resources.

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Microsoft are looking for a talented Technical Advisor to join their Microsoft Superintelligence team in the Office of the CEO. This role requires someone who can provide direct technical and strategic support to the CEO of Microsoft AI, identifying opportunities and risks across our research portfolio.

About the Role

As a Technical Advisor, you will engage deeply with research teams on pre-training, post-training, multimodal systems, infrastructure, and safety/alignment work. You will prototype and evaluate models, techniques, and infrastructure to develop insights and inform strategic decisions. You will analyze technical tradeoffs and synthesize findings into clear, actionable recommendations for leadership.

Accountabilities

• Provide direct technical and strategic support to the CEO of Microsoft AI—identifying opportunities and risks across our research portfolio
• Engage deeply with research teams on pre-training, post-training, multimodal systems, infrastructure, and safety/alignment work

The Candidate we're looking for

Experience:

• 4+ years technical engineering experience with coding

Technical skills:

• Software engineering skills with the ability to rapidly prototype and evaluate technical solutions
• Understanding modern ML techniques, including large language models, multimodal systems, agents, or related areas

Personal attributes:

• Written and verbal communication skills, with the ability to distill complex technical concepts for executive audiences
• Track record of operating effectively in fast-paced, ambiguous environments

Benefits

• Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year
• Certain roles may be eligible for benefits and other compensation

XML job scraping automation by YubHub

Microsoft are looking for a talented Senior Applied Scientist at their Suzhou office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising the AI and engineering system. You'll work directly with leadership to shape the company's direction in the global Office users market.

About the Role

We are seeking a highly skilled and motivated Applied Scientist with strong hands-on experience in building and optimizing agentic AI systems. Our mission is to benefit Office users with rich content and tool support to raise productivity, and we are building the AI and engineering system to make it happen. This position offers an exciting opportunity to design and develop highly complex and comprehensive systems combining engineering, AI and human participation. You will work closely with product managers, designers, and users to turn ideas and AI into reality and make a great impact to all global Office users.

Accountabilities

• Design and implement advanced LLM-based architectures and agentic systems for real-world product scenarios.
• Translate research breakthroughs into production-ready algorithms, contributing to core capabilities such as reasoning, planning, long-term memory, code-gen based design.
• Monitor and improve model performance post-deployment through data-driven iteration and error analysis.
• Collaborate across teams to deliver robust, scalable models aligned with product objectives and user value.
• Contribute to the organization’s scientific direction by identifying research opportunities that drive long-term differentiation.

The Candidate we're looking for

Experience:

• M.S. or Ph.D. in Computer Science, Machine Learning, or a related field, or equivalent practical experience.
• 5+ years of experience in applied machine learning, with a focus on LLMs, agent systems, or reinforcement learning.

Technical skills:

• Strong hands-on experience with prompt engineering, context engineering, retrieval-augmented generation (RAG), tool use, planning agents, and long-context modeling, etc.
• Familiarity with model training pipelines using PyTorch, TensorFlow, JAX, or similar frameworks, evaluation strategies, and model deployment best practices.

Personal attributes:

• Strong coding and debugging skills, and comfort working in cross-functional, agile environments.
• Experience on office document generation and related applications is a plus.

Benefits

• Competitive salary and benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.
• Access to cutting-edge technology and resources.
• Flexible work arrangements and work-life balance.

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Microsoft AI are looking for a talented Principal Software Engineer - AI Ads to shape the future of online advertising in Mountain View, CA or Redmond, WA. You'll lead the design and development of large-scale shopping ads infrastructure that powers billions of products worldwide.

About the Role

As a Principal Software Engineer - AI Ads, you will be responsible for leading the design, development, and optimization of large-scale shopping ads infrastructure and algorithms. You will build and maintain the universal product graph spanning billions of products across multiple languages. You will develop scalable systems for data ingestion, storage, retrieval, and real-time serving at global scale. You will apply machine learning (ML), nature language processing (NLP), and deep learning (DL) models to improve ad relevance, personalization, and selection.

Accountabilities

• Lead the design, development, and optimization of large-scale shopping ads infrastructure and algorithms.
• Build and maintain the universal product graph spanning billions of products across multiple languages.
• Develop scalable systems for data ingestion, storage, retrieval, and real-time serving at global scale.
• Apply machine learning (ML), nature language processing (NLP), and deep learning (DL) models to improve ad relevance, personalization, and selection.

The Candidate we're looking for

Experience:

• 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.

Technical skills:

• Deep learning frameworks (e.g., PyTorch, TensorFlow), LLMs/SLMs, and AI Agents.
• Cloud services, large-scale big data platforms, and streaming/real-time frameworks (e.g., Kafka, Flink, Spark Streaming), and AI infrastructure development.

Personal attributes:

• Ability to meet Microsoft, customer and/or government security screening requirements.

Benefits

• Competitive salary and benefits package.
• Opportunity to work on cutting-edge AI innovation at massive scale.
• Collaborative and dynamic work environment.
• Professional development opportunities.

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