We are seeking an experienced AI Product Manager to lead AI-focused product enablement and adoption initiatives across our global organisation. The ideal candidate will have a mix of technical experience in AI/ML/LLM products and APIs, process automation, and proficiency in survey design and data analytics.

Key Responsibilities:

Awareness of AI Ecosystem and Trends: Use Claude Code / Codex / Cursor / etc. as well as skills in these tools. Follow developments among major players in the commercial and open-source AI/LLM space, including Anthropic, OpenAI, Google, xAI, and others.

Communication: Communicate clearly and effectively with internal and external vendors and stakeholders about requirements, feature requests, scope, expectations, priorities, product releases, and timelines. Generate clear, consistent, and accurate documentation about products, tradeoffs, decisions, and value proposition of various efforts.

AI Product Enablement and Adoption: Conduct consulting-style engagements with technical and non-technical teams to onboard them with AI tools and products available within Millennium. Collaborate with users to understand pain points, needs, feature requests, and requirements to design and execute product development with usability and scalability in mind.

Feedback Collection and Data Analytics: Analyze usage and feedback data with accuracy and quality using SQL and Python to identify trends, gaps, and opportunities for product improvements. Use insights from your analysis to refine product roadmaps and enablement initiatives to maximise impact across the firm.

Qualifications:

Education: Bachelor's degree or higher in Computer Science, Data Science, Engineering, or a related technical field. Must have technical knowledge and experience.

Experience: 5-7+ years of experience in a combination of AI/ML/LLM engineering, startup, technical education, consulting, data science, product analytics, or product management roles. Some technical / engineering / building experience is a hard requirement, e.g. you must be able to use the CLI and analyse data.

Technical Proficiency: Strong knowledge of AI/ML concepts, especially Large Language Models (LLMs). Understanding of their capabilities and failings as a technology. Proficiency in SQL and Python for data analysis and visualisation. Proficiency in survey software and analytics tools (e.g. Qualtrics). Strong familiarity with effective SDLC and CI/CD principles.

Product Management: Proven ability to use clear judgment and organisational skills to manage complex, cross-functional products involving technical and non-technical teams. Intellectual curiosity and strong aptitude for prioritisation.

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In this role, you will:

• Define 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.
• Drive 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 mentor software engineers ranging from new grads to experienced engineers.
• Proactively identify opportunities and drive improvements to software development practices, processes, tools, and languages.
• Present technical information to teams and stakeholders, providing guidance and insight on development processes and technologies.

Ideally, you'd have:

• 8+ 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.
• Show a track record of independent ownership of successful engineering projects.
• Possess 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.

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.

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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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Key Responsibilities:

• Serve as the strategic connective tissue between Business Development and Product on Nitro partnerships, ensuring alignment on deal priorities, product capabilities, and go-to-market strategy
• Provide analytical support to Consumer Revenue leadership by building reporting, surfacing insights on partnership performance, and delivering data-driven recommendations that inform business decisions
• Partner with Finance on financial modeling for Nitro partnership deals, building and maintaining models that inform deal structure, revenue projections, and partnership economics
• Stand up and run the Consumer Revenue deal desk, defining red lines on term sheets, establishing approval frameworks, and creating clear guardrails on what we will and won't allow in partnership agreements
• Lead pricing strategy and analysis for Nitro, managing the semi-annual pricing cycle and building the analytical foundation to support pricing decisions
• Develop and maintain dashboards and ad hoc analyses that give Business Development and Product teams visibility into partner revenue trends, deal pipeline health, and key performance metrics
• Manage operational workflows across Accounting, Legal, and other cross-functional partners to ensure deals move from signed term sheet to revenue recognition smoothly
• Document and codify deal policies, pricing frameworks, and operational processes as the function matures

Requirements:

• 4 to 6 years of experience in strategy and operations, deal operations, revenue operations, or strategic finance
• Strong financial modeling skills with the ability to build deal models, scenario analysis, and partnership economics from scratch
• Proven ability to turn ambiguous business questions into structured analyses and clear recommendations
• Experience standing up or managing a deal desk function, including defining deal terms, approval workflows, and pricing guardrails
• Ability to operate across multiple stakeholders (Business Development, Product, Marketing, Engineering, Legal, Finance, and Accounting) and drive alignment without direct authority
• Sharp analytical skills with proficiency with SQL, python, BI Tools, and Excel/Sheets.
• Proficient with AI tools such as Claude, Claude Code, Cursor, etc
• Strong written and verbal communication.

Nice to Have:

• Experience in subscription or consumer revenue businesses, or partnership-heavy models
• Background in gaming, social platforms, or digital media
• Familiarity with revenue recognition principles and working with Accounting teams on deal operationalization
• Experience with BI tools such as Tableau, Looker, or similar, and building self-serve reporting for business teams

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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.

Role Overview

We’re looking for a Full-Stack AI Engineer to join our team, where you’ll build the next generation of tools for developing, evaluating, and training state-of-the-art AI systems. You will own features end to end,from user-facing experiences and APIs to backend services, data models, and infrastructure.

You’ll be at the heart of our applied AI efforts, with a particular focus on human-in-the-loop systems used to generate high-quality training data for Large Language Models (LLMs) and AI agents. This includes building a platform that enables us and our customers to create and evaluate data, as well as systems that leverage LLMs to assist with reviewing, scoring, and improving human submissions.

Your Impact

• Own End-to-End Product Features

Design, build, and ship complete workflows spanning frontend UI, APIs, backend services, databases, and production infrastructure.

• Enable Human-in-the-Loop AI Training

Build systems that allow humans to efficiently create, review, and curate high-quality training and evaluation data used in AI model development.

• Support RLHF and Preference Data Workflows

Design and implement tooling that supports RLHF-style pipelines, including task generation, human review, scoring, aggregation, and dataset versioning.

• Leverage LLMs in the Review Loop

Build systems that use LLMs to assist human reviewers,such as automated checks, critiques, ranking suggestions, or quality signals,while maintaining human oversight.

• Advance AI Evaluation

Design and implement evaluation frameworks and interactive tools for LLMs and AI agents across multiple data modalities (text, images, audio, video).

• Create Intuitive, Reviewer-Focused Interfaces

Build thoughtful, efficient user interfaces (e.g., in React) optimized for high-throughput human review, quality control, and operational workflows.

• Architect Scalable Data & Service Layers

Design APIs, backend services, and data schemas that support large-scale data creation, review, and iteration with strong guarantees around correctness and traceability.

• Solve Ambiguous, Real-World Problems

Translate loosely defined operational and research needs into practical, scalable, end-to-end systems.

• Ensure System Reliability

Participate in on-call rotations to monitor, troubleshoot, and resolve issues across the full stack.

• Elevate the Team

Improve engineering practices, development processes, and documentation. Share knowledge through technical writing and design discussions.

What You Bring

• Bachelor’s degree in Computer Science, Data Engineering, or a related field.

• 2+ years of experience in a software or machine learning engineering role.

• A proactive, product-focused mindset and a high degree of ownership, with a passion for building solutions that empower users.

• Experience using frontend frameworks like React/Redux and backend systems and technologies like Python, Java, GraphQL; familiarity with NodeJS and NestJS is a plus.

• Knowledge of designing and managing scalable database systems, including relational databases (e.g., PostgreSQL, MySQL), NoSQL stores (e.g., MongoDB, Cassandra), and cloud-native solutions (e.g., Google Spanner, AWS DynamoDB).

• Familiarity with cloud infrastructure like GCP (GCS, PubSub) and containerization (Kubernetes) is a plus.

• Excellent communication and collaboration skills.

• High proficiency in leveraging AI tools for daily development (e.g., Cursor, GitHub Copilot).

• Comfort and enthusiasm for working in a fast-paced, agile environment where rapid problem-solving is key.

Bonus Points

• Experience building tools for AI/ML applications, particularly for data annotation, monitoring, or agent evaluation.

• Familiarity with data infrastructure components such as data pipelines, streaming systems, and storage architectures (e.g., Cloud Buckets, Key-Value Stores).

• Previous experience with search engines (e.g., ElasticSearch).

• Experience in optimizing databases for performance (e.g., schema design, indexing, query tuning) and integrating them with broader data workflows.

Engineering at Labelbox

At Labelbox Engineering, we're building a comprehensive platform that powers the future of AI development. Our team combines deep technical expertise with a passion for innovation, working at the intersection of AI infrastructure, data systems, and user experience. We believe in pushing technical boundaries while maintaining high standards of code quality and system reliability. Our engineering culture emphasizes autonomous decision-making, rapid iteration, and collaborative problem-solving. We've cultivated an environment where engineers can take ownership of significant challenges, experiment with cutting-edge technologies, and see their solutions directly impact how leading AI labs and enterprises build the next generation of AI systems.

Our Technology Stack

Our engineering team works with a modern tech stack designed for scalability, performance, and developer efficiency:

• Frontend: React.js with Redux, TypeScript

• Backend: Node.js, TypeScript, Python, some Java & Kotlin

• APIs: GraphQL

• Cloud & Infrastructure: Google Cloud Platform (GCP), Kubernetes

• Databases: MySQL, Spanner, PostgreSQL

• Queueing / Streaming: Kafka, PubSub

Labelbox strives to ensure pay parity across the organization and discuss compensation transparently. The expected annual base salary range for United States-based candidates is below. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.

Annual base salary range $130,000-$200,000 USD

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

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All full-time employees receive competitive base pay, benefits, and equity (RSUs) , because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy.

AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.

Are you looking for an opportunity to transform a business? Gusto is looking for a strategic, customer-focused leader to leverage customer feedback and operational key metrics to develop actionable insights and strategies that shape our product and service, and positively impact customer love. Working with the Product, Engineering, Design and Customer Experience teams, you will be expected to tackle both highly strategic and deeply operational initiatives to deliver value for customers and Gusto. You’ll be customer-obsessed, business-minded, strategic, detail-oriented, and highly creative.

In this role, you'll help stand up the operational and service foundation for a new Gusto product, using both deep human judgment and emerging AI tools to move faster and make better decisions. If this sounds exciting to you, we’d love to connect!

The Benefits Product Operations team at Gusto is made up of committed, creative, collaborative people who care deeply about our mission to enable Benefits for all small and mid-sized businesses and their employees. We’re a highly cross-functional team focused on ensuring our product and service are co-designed and co-developed along the product lifecycle to deliver a best in class customer experience; Gusto is listening to, synthesizing and acting on customer and front-line team feedback; and that cross-functional teams are collaborating and swimming together to build the best version of Gusto for our customers.

Here’s what you’ll do day-to-day:

Shape and support product development and its integration into service strategy for existing customers across the product lifecycle, in collaboration with Engineering, Design, Product Management, and Customer Experience teams.

Understand our product and end-to-end service experience and organizations in intimate detail, including internal and external pain points and feedback. Collaborate to ensure customer support considerations are integrated into broader company decisions.

Lead and partner on product launches between Product Management and Customer Experience (CX) teams to ensure readiness and deliver insights post-launch to ensure a positive experience for customers and internal teams.

Provide business insights and recommendations based on quantitative and qualitative data to influence strategy and operational design in both product and service roadmaps.

Identify and drive cross-functional initiatives that will deliver value for customers and Gusto. Help develop and communicate a clear roadmap for enhancing service capabilities and experiences.

Hypothesis-driven problem solving to drive our business.

Contribute to advancing the Product Operations craft at Gusto and build AI fluency within the team:

Model how to use AI tools to accelerate service design, insight synthesis, and agent-driven operational workflows.

Identify and build AI-assisted operational workflows, including agents, to accelerate VoC synthesis, launch readiness monitoring, and cross-functional signal aggregation.

Use AI tools to prototype service solutions and surface requirements faster, compressing the feedback loop between customer signal and product/service response , before full engineering investment.

Here’s what we're looking for:

10+ years of relevant work experience at growing startups in operating roles (i.e., biz ops/strategy roles, product operations, project/program management, and/or consulting):

Experience scaling service strategy alongside growing SaaS products, including incubating products, building and managing product betas, and/or integrating new products into a scalable best-in-class service model.

Highly adaptable and resilient to changes in business needs or requirements, with the ability to navigate challenges and make decisions even when information is incomplete.

Demonstrated self-starter and organized problem-solver. Self-sufficient, resourceful, and bias for action towards continuous improvement.

Experienced with managing a variety of cross-functional stakeholders on complex strategic initiatives, including influencing senior leaders in Product or Customer Experience orgs.

Strong data literacy and results-orientation, with the ability to identify the right questions, interpret quantitative and qualitative signals, and translate findings into decisions , including comfort using AI-assisted tools for analysis and synthesis.

Excellent written and verbal communication skills, with the ability to effectively communicate complex subjects to both technical and non-technical audiences.

Demonstrated AI fluency in an operational and product context , comfort using AI tools to synthesize qualitative data, identify automation opportunities in service workflows, and building or directing AI agents to reduce manual operational lift:

Experience prototyping with AI (e.g., Claude, Cursor, Codex or similar) is a plus.

Experience with service design and/or service blueprinting.

Experience working in the healthcare or benefits space (PEO, health insurance, etc.) is a plus; candidates with new product incubation experience in any complex regulated space are strongly encouraged to apply.

Our cash compensation amount for this role is $148,000/yr to $182,000/yr in Denver, and $167,000/yr to $217,000/yr for San Francisco & New York. Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above.

Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas. When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees.

Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto. Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic.

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Key Responsibilities:

• Build cutting-edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
• Use data-driven methods and leverage the unique properties of our data to improve candidate retrieval
• Work in a high-impact environment with quick experimentation and product launches
• Keep up with industry trends in recommendation systems

Requirements:

• 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
• End-to-end hands-on experience with building data processing pipelines, large-scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
• Degree in computer science, machine learning, statistics, or related field

Nice to Have:

• M.S. or PhD in Machine Learning or related areas
• Publications at top ML conferences
• Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring
• Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration
• Expertise in scalable real-time systems that process stream data
• Passion for applied ML and the Pinterest product

Relocation Statement:

This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

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Responsibilities:

• Lead the development of highly-visible, user-facing products that protect our users.
• Design, build, and deploy robust production APIs, backend services, and data pipelines to launch safety features at scale.
• Collaborate cross-functionally with Product, Design, Policy, Data Science, ML, Legal, and T&S Operations to create solutions that are both impactful and lovable.
• Iterate on in-house tooling to supercharge our T&S workflows.
• Respond rapidly to the ever-evolving abuse and compliance landscape.

Requirements:

• 5+ years experience writing Python and utilizing back-end API frameworks (Flask, Django).
• 5+ years experience developing front-end interfaces with JavaScript (React, TypeScript) for both web and mobile platforms.
• Familiarity with databases such as Cassandra, Postgres, and ScyllaDB.
• Demonstrated success leading end-to-end delivery of complex projects: breaking down ambiguity, coordinating rollouts, and aligning stakeholders.
• Demonstrated ability to troubleshoot, debug, and test complex systems in a live, production environment.
• Exceptional communication and collaboration skills, with the ability to work well with cross-functional partners, designers, and other engineers.
• Experience using metrics and dashboards to make data-driven decisions and develop insightful reports.
• Experience utilizing AI tools like Claude Code and Cursor to supercharge dev workflows

Bonus Points:

• Experience in the Safety or Anti-Abuse domain.
• Experience analyzing and visualizing data using Datadog or Mode.
• Familiarity with real-time streaming systems like Kafka or Pub-Sub.
• Ability to contribute to offline analytics jobs and processes.
• Experience building and operating mobile-client features on iOS and Android.
• Exposure to lower-level languages such as Go, Rust, and Elixir.
• A strong moral compass that drives you to protect users and do the right thing.

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As a product design intern at Cresta, you will be at the forefront of a technological breakthrough with LLM and Generative AI. This unique position allows you to transform how people interact with AI meaningfully.

Responsibilities:

• Generate novel UX ideas for Conversation Intelligence and AI Agents, considering the needs of various user personas.
• Analyze user and business challenges, propose feasible solutions, and collaborate with engineers to bring designs to life.
• Support user research, including usability testing, competitive analysis, customer interviews, behavioral insights, and metrics analysis to inform designs.
• Prototype quickly (Figma, Cursor, Claude, Voice API, etc.) to explore different UI paradigms.
• Collaborate closely with Engineers, PMs, ML experts, Customer Success, and Sales teams across the organization.
• Present and communicate concepts to supervisors and cross-functional teams.

Qualifications:

• Currently pursuing a Bachelor's Degree in Design, HCI, or a related field, with a strong academic track record.
• A strong portfolio showcasing user-centric design thinking, polished UI craftsmanship, and innovative interaction paradigms, including academic or personal projects.
• Proficiency in prototyping: skilled at using tools like Cursor, Claude Code, V0, or the latest AI tools to build realistic prototypes.
• Experienced in user-centered design, with practical expertise across key UX disciplines, including interaction design, prototyping, visual design, and user research.
• Curious, adaptable, and a quick learner who thrives in a collaborative, team-oriented environment.

Perks & Benefits:

• $30-$50 per hour subject to taxes.
• Lunch and Dinner can be expensed (up to $25 each) while working in the office.

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As a Senior Vice President, Sales (Partnerships), you will be responsible for defining area vice president (AVP)-level account assignment and quota assignments to operationalize strategy and plan. You will also define strategy for the short term (quota attainment) and long term (e.g., orienting the AVPs and customers towards multi-year deals and enterprise relationships). Additionally, you will revise strategy and plans, as needed, as new priority opportunities are identified or as plans change.

You will play the role of the closer when needed to move an opportunity past the finish line if stalled. You will provide coaching and mentorship for AVPs and engage in all first-line manager duties for AVPs. You will ensure that all AVP commitments are completed (e.g., certifications, duties while ramping, etc.).

To be successful in this role, you will need to have 5+ years of recent management experience leading a team of hunters. You will also need to have a proven track record of delivering revenue at or above target for team's quota. You will need to have experience in client-facing roles of increasing responsibility delivering innovative SaaS recurring revenue software products, analytics, or consulting services to Life Sciences, Risk Based Entities, Payers, Intermediaries, Consulting, partners/customers.

You will also need to have experience managing five or more direct reports and managing other people managers. You will need to have hands-on experience working with sales, marketing, market access, and other HCP, provider, payer, and patient-level data. You will need to have advanced storytelling, communication, and interpersonal skills, and experience owning high-profile customer relationships.

You will need to be able to successfully manage multiple customer relationships and projects with high quality and grace under pressure. You will need to be agile to work across internal teams to deliver to customer contractual requirements and business needs. You will need to have demonstrated track record of growing and retaining high-performing teams and culture in a fast-paced, dynamic, and rapidly changing startup environment.

You will also need to be able to leverage AI tools (Gemini, ChatGPT, Cursor, etc.) to enhance personal productivity, streamline workflows, or improve decision-making.

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You will design and maintain trustworthy data models for core marketing metrics, manage the full lifecycle from prototyping through production, and develop and govern dbt data pipelines. You will also build and optimize dashboards that deliver real-time, self-serve insights across high-priority marketing areas, drive data independence for Marketing stakeholders, and collaborate with the Marketing team and data partners to establish the AI Business Context layer for marketing use cases.

You will serve as the primary data partner for marketing managers, demand generation teams, and leadership, translating complex data insights into clear business recommendations via dashboards, memos, and presentations. You will achieve a comprehensive mastery of Airtable's marketing data models, existing pipelines, and BI tools within the first 6 months, becoming the definitive internal expert.

This is a genuinely AI-native role, requiring active, demonstrated daily use of AI coding tools such as Cursor, Claude, ChatGPT, and Gemini. You must provide specific, concrete examples of how these tools are integral to your work, moving beyond simple familiarity.

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We're looking for a Senior Machine Learning Engineer to join our Monetization team. As a key member of the team, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.

Key responsibilities include:

• Building cutting-edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
• Partnering closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search)
• Using data-driven methods and leveraging the unique properties of our data to improve candidate retrieval
• Working in a high-impact environment with quick experimentation and product launches
• Keeping up with industry trends in recommendation systems

Requirements:

• 2+ years of industry experience applying machine learning methods
• Degree in computer science, statistics, or related field; or equivalent experience
• End-to-end hands-on experience with building data processing pipelines, large-scale machine learning systems, and big data technologies
• Practical knowledge of large-scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems

Nice to have:

• M.S. or PhD in Machine Learning or related areas
• Publications at top ML conferences
• Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring
• Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration
• Expertise in scalable real-time systems that process stream data
• Passion for applied ML and the Pinterest product
• Background in computational advertising

Relocation Statement:

This position is not eligible for relocation assistance.

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Responsibilities:

• Inspire, lead, and grow a team of data scientists to achieve our longer-term vision
• Drive data science projects end-to-end in partnership with Product, Engineering, and other partners to inform product strategy and investment decisions
• Analyze large datasets to identify trends, patterns, and insights that can help understand marketplace dynamics and help cross-functional teams (e.g., product, engineering, marketing) to define and execute data-driven optimization strategies
• Actively influence the design of the strategy and shaping of the roadmap. Generate and use team insights to set and prioritise longer-term goals
• Create and implement A/B testing, experimentation, and other cutting-edge statistical/mathematical frameworks to analyse Ads (marketplace) performance
• Continually develop & execute on a Data Science roadmap and vision for your team
• Stay abreast of industry best practices and emerging technologies in the field of advertising and data science
• Foster a culture of innovation, collaboration, and technical excellence
• Be an integral part of the Data Science Org, leveraging and contributing to the vibrant knowledge base, shared across a community of world-class data experts

Required Qualifications:

• PhD or Master's degree in Economics, Statistics, Machine Learning, Operations Research, or other quantitative fields
• 4+ years of management experience. Experience managing managers is a bonus
• Strong skills in programming (Python or R) and SQL
• Experience in leveraging AI-assisted development tools (e.g., Cursor, Claude, or similar LLMs) to improve personal and team productivity, code quality, and technical problem-solving
• Deep understanding of Ads Marketplace
• Extensive experience of online experimentation and causal inference
• Ability to communicate & discuss low-level technical topics as well as high-level strategies
• Comfortable in innovative and fast-paced environments, and an innate ability to bias toward action
• Results-oriented with a strong customer and business focus
• Track-record driving product roadmap and execution with strong cross-org collaborations
• Ability to provide structure and tackle ambiguous and undefined problems

Benefits:

• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Comprehensive Medical Benefits & Health Care Spending Account
• Registered Retirement Savings Plan with matching contributions
• Income Replacement Programs
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

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Key Responsibilities:

• Lead and manage the team that partners with Sales (Growth and Retention) to define market-winning strategies that align with Komodo's overarching business objectives.

• Lead and manage the team that acts as technical diplomats to C-suite stakeholders, translating business hurdles into actionable solutions using Komodo's suite of products and Healthcare Map.

• Lead and manage the team that oversees the creation of customer-specific technical solutions that address requirements and long-term goals.

• Collaborate with Product, Sales, Marketing, and other teams to craft and deliver compelling value propositions and demonstrations.

• Lead and manage the team that provides thought leadership on the application of analytics and healthcare data to drive measurable customer success.

Requirements:

• 15+ years of professional experience with a significant focus on high-growth SaaS, analytics, or AI environments.

• 8+ years of leadership experience, specifically having scaled a presales and/or technical consulting organization, ideally from an earlier stage to a multi-layered enterprise team.

• Strategic Breadth: Proven ability to influence internal product direction and external customer strategy simultaneously.

• Domain Knowledge: Experience navigating the Life Sciences and/or Healthcare space.

• Technical Literacy: Awareness of data science tools, cloud technologies, and AL/ML applications.

Expectations of AI Use in this role:

• Applies AI strategically, knowing how to use the right tools at the right time to solve problems or generate new ideas.

• Uses AI to accelerate feedback loops, test ideas, and make informed decisions faster.

• Applies both judgment and creativity when working with AI and understands its limitations.

• Educates and enables others in the proper use of AI in the pre-sales domain.

• Demonstrates curiosity and initiative in exploring new AI tools and workflows relevant to their role.

• Has developed or shared AI-enhanced workflows, automations, or prompts with others.

• Brings a reflexive AI mindset and uses AI as a natural part of their process to iterate, research, and deliver better work.

• Comfortable working in AI-enhanced environments across writing, data analysis, content creation, or design.

• Regularly leverages AI tools such as Gemini, Cursor, Perplexity, Claude, ChatGPT, or Microsoft Copilot to improve speed, clarity, or creative output.

This position may be eligible for performance-based bonuses as determined in the Company's sole discretion and in accordance with a written agreement or plan. This role may also be eligible for equity awards. In addition, this role is eligible for benefits including, but not limited to, comprehensive health, dental, and vision insurance; flexible time off and holidays; 401(k) with company match; disability insurance and life insurance; and leaves of absence in accordance with applicable state and local laws and regulations and company policy.

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The role is ideal for a senior modeler who also enjoys developing, productionizing models and leading technical direction across teams. The successful candidate will be able to provide technical leadership through design reviews, mentoring, and raising the quality bar for modeling and ML engineering practices.

In addition to the above responsibilities, the successful candidate will be expected to:

• Collaborate with infra/platform teams to ensure scalable, reliable training/serving (latency, cost, observability, rollout safety).
• Partner with signal-consuming teams (ranking, retrieval, integrity, ads) to define signal contracts, adoption patterns, and success metrics.
• Own the full ML lifecycle: data/labeling strategy (human labels + weak supervision), training pipelines, offline evaluation, online experimentation, deployment, and monitoring/retraining.
• Provide technical leadership through design reviews, mentoring, and raising the quality bar for modeling and ML engineering practices.

Nice to have: experience with Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring; familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration.

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In addition to data output validation, you will also be responsible for bug investigation and root cause analysis. This will involve reviewing and prioritizing DPQ Jira issues, querying Snowflake to trace anomalies to source, and producing clear reports outlining the issue, evidence, likely cause, and next steps for both technical and non-technical audiences.

You will also be responsible for preparing the weekly publication review package, which includes compiling a weekly record of which data pipelines ran, their completion status, any anomalies in run time or output volume, and a comparison against expected behavior.

The ideal candidate will have 6+ years of experience in data quality, data analysis, or analytics engineering, preferably in healthcare or a related field. They will also have strong SQL skills, experience with Snowflake, and the ability to work through ambiguous issues from signal to root cause.

This is a senior-level role that requires a high degree of autonomy and independence. The successful candidate will be able to work effectively in a fast-paced environment and prioritize multiple tasks and projects simultaneously.

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As one of the first pioneers of earned wage access, our focus at EarnIn is building products that deliver real-time financial flexibility for those with unique needs.

We're fortunate to have an experienced leadership team and world-class funding partners. We're growing fast and are excited to bring world-class talent onboard to help shape the next chapter of our growth journey.

Position Summary

We're looking for a Staff Backend Engineer to join the Core Services team at EarnIn. We're seeking experienced, passionate, and resourceful engineers to join our backend teams.

This position will be hybrid from our Bengaluru office, with 2+ days in the office. EarnIn provides excellent employee benefits, including healthcare, internet/cell phone reimbursement, a learning and development stipend, and opportunities to collaborate with and travel to our Mountain View HQ and Bangkok Site.

Responsibilities

• Design and implement scalable, high-quality backend features and REST APIs
• Drive end-to-end execution of complex initiatives, from design to production
• Maintain and extend test automation to support CI/CD
• Mentor engineers and provide guidance through code and architecture reviews
• Collaborate with cross-functional teams (Product, Design, Data Science, Marketing)
• Debug and resolve production issues across services and infrastructure
• Continuously adopt and evaluate new technologies for business impact

Requirements

• 7+ years in backend development, with experience in a tech lead role
• Bachelor's/Master's/PhD in Computer Science or related field, or equivalent experience
• Proficient in C#, Kotlin, or Java
• Strong experience architecting and optimizing complex, data-driven systems
• Proven ability to lead technical strategy, mentor engineers, and drive delivery
• Excellent communication skills across distributed teams
• Fintech/payments domain experience is a plus
• Experience building scalable, cross-functional payment systems is a plus
• Experience using AI-assisted development tools (e.g., Copilot, Cursor, LLMs) is a plus

Benefits

EarnIn provides excellent employee benefits, including healthcare, internet/cell phone reimbursement, a learning and development stipend, and opportunities to collaborate with and travel to our Mountain View HQ and Bangkok Site.

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As a Senior Vice President, Sales (Commercial), you will be responsible for defining area vice president (AVP)-level account assignment and quota assignments to operationalize strategy and plan.

You will also define strategy for the short term (quota attainment) and long term (e.g., orienting the AVPs and customers towards multi-year deals and enterprise relationships).

Additionally, you will revise strategy and plans, as needed, as new priority opportunities are identified or as plans change.

You will play the role of the closer when needed to move an opportunity past the finish line if stalled.

Your responsibilities will also include providing coaching and mentorship for AVPs, engaging in all first-line manager duties for AVPs, and ensuring that all AVP commitments are completed.

To be successful in this role, you will need to have 10+ years of experience selling claims data, SaaS software, analytics, and RWE/RWD solutions tied to brand strategy, patient finding, HCP mapping, and market insights.

You will also need to have 5+ years of recent management experience leading a team of 5 or more hunters.

Proven track record of delivering revenue at or above the team's quota is also required.

In addition, you will need to have advanced storytelling, communication, and interpersonal skills, and experience owning high-profile customer relationships.

You will also need to be able to successfully manage multiple customer relationships and projects with high quality and grace under pressure.

Agility to work across internal teams to deliver to customer contractual requirements and business needs is also necessary.

Demonstrated track record of growing and retaining high-performing teams and culture in a fast-paced, dynamic, and rapidly changing startup environment is also required.

Ability to leverage AI tools (Gemini, ChatGPT, Cursor, etc.) to enhance personal productivity, streamline workflows, or improve decision-making is also preferred.

The pay range for this role is $190,000-$210,000 USD per year, depending on location.

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You'll conduct hands-on penetration testing, lead red team engagements, and collaborate with blue team counterparts to validate and improve detection and response capabilities. Your work will directly influence how Stripe builds, ships, and secures financial infrastructure used by millions of businesses worldwide.

Responsibilities:

Conduct comprehensive penetration tests across web applications, APIs, cloud environments (AWS/GCP/Azure), mobile applications, and internal infrastructure.

Plan and execute red team engagements that emulate the TTPs of cyber and criminal threat actors targeting financial services, including initial access, lateral movement, persistence, and data exfiltration scenarios.

Perform assumed-breach and objective-based assessments to test detection and response capabilities in coordination with defensive teams.

Partner with detection engineering, threat intelligence, and incident response teams to validate security controls, identify coverage gaps, and improve detection fidelity.

Contribute adversary tradecraft insights to inform detection rule development, threat hunting hypotheses, and incident response playbooks.

Support incident investigations by providing offensive expertise, log analysis, and root cause analysis when required.

Design, develop, and maintain custom offensive tools, scripts, and automation frameworks to enhance assessment efficiency and coverage.

Build internal platforms and workflows that enable scalable, repeatable offensive operations.

Contribute to internal security tooling repositories and champion engineering best practices within the team.

Automate repetitive testing tasks, payload generation, and reporting workflows using modern development practices.

Produce clear, actionable reports that communicate technical findings, business risk, and remediation guidance to both technical and non-technical stakeholders.

Act as a subject-matter expert and primary point of contact for stakeholder teams engaged in offensive security programs and Stripe-wide security initiatives.

Lead offensive security projects end-to-end, mentor junior team members, and foster a culture of continuous learning and knowledge sharing.

Stay current with emerging threats, vulnerabilities, and attack techniques; share research internally and contribute to the broader security community.

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In this role, you will be responsible for designing and developing customizations, extensions, configurations, and integrations required to meet the company’s strategic business objectives. You will work collaboratively with Engineering Managers, business stakeholders, Product Owners, Program analysts, and engineers on different program design, development, deployment, and support.

Core competencies expected of a Staff Engineer include operating with a high degree of autonomy, technical leadership, and project ownership. This includes architectural ownership and design, project and delivery leadership, mentorship and technical bar-setting, cross-functional influence, and future-forward technical skills.

High-value skills include the ability to build Agents using Agentforce or by leveraging open source libraries to build agents, proficiency in using GitHub Copilot or Cursor or AI workflow orchestration tools, and strategic influence on technology roadmap.

Qualifications include 7+ years of software development experience with experience in Java, Python, or equivalent, 5+ years' hands-on Salesforce development with solid knowledge of Apex, Process Automation, and LWC, and experience in architecture, design, and implementation of various high-complexity projects/programs for Sales Cloud, CPQ, Service Cloud Console, etc.

Our team is collaborative, innovative, and flexible, and we consider work-life balance a top priority.

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Key Responsibilities:

• Drive the vision for the team, ensuring the team's work directly contributes to the company's goals
• Manage and mentor a team of Machine Learning engineers (L13 - L16), providing technical guidance and support to help them grow their careers
• Collaborate closely with other engineering teams at Pinterest to enhance the experience for users
• Provide visibility to senior leadership regarding the team's global impact
• Partner with stakeholders across the company to shape the future of the content ecosystem and personalization at Pinterest

Requirements:

• MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, or equivalent experience
• Experience leading and working on a large-scale production recommendation, e-commerce, search, or ads systems that are based on state-of-the-art machine learning and big data technology
• Strong experience in related fields such as recommendation systems and applied machine learning experience is required
• Demonstrated ability to define and drive the strategic roadmap for scalable, production-quality systems from concept to execution
• Strong focus on product impact and user experience within a consumer-focused environment
• Minimum of 1 year of experience managing a high-performing machine learning engineering team of 10+ members
• 8+ years of experience in software development, with a proven track record of delivering impactful solutions

Nice to Have:

• Experience with Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring
• Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration

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As an Engineering Manager, you will set technical vision, empower a talented group of engineers, and collaborate closely with Machine Learning, Product, and Data Science to unlock better user experiences.

Key responsibilities include:

• Leading and mentoring a team of experienced machine learning engineers in developing advanced user understanding models and systems
• Collaborating cross-functionally with partners in Product, Data Science, and Engineering to define strategy, set priorities, and effectively integrate user insights into core systems and product features
• Driving experimentation and adoption of new user understanding models with product teams across Pinterest, ensuring measurable end-to-end impact on key metrics
• Managing project execution and stakeholder communication, including roadmap planning, technical decision-making, risk mitigation, and progress updates to achieve business goals
• Providing thought leadership in user modeling and recommender systems by setting a long-term technical vision and advancing the state-of-the-art in the field
• Fostering a collaborative, inclusive, and high-performing team culture

Requirements include:

• 6+ years of industry experience in applied machine learning or closely related roles, with experience developing large-scale machine learning for recommendation or ads systems
• 2+ years of people management experience leading engineering teams
• Demonstrated ML expertise with a proven track record of impactful solutions and a deep understanding of large scale distributed systems
• Strong technical leadership, including a passion for driving technical direction, system architecture, and designing robust, scalable ML solutions

Nice to have:

• Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring
• Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration

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

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

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

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

The impact you will have:

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

What we look for:

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

Pay Range Transparency

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

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Key responsibilities include:

• Building Core Agents & Plays: Design, build, and iterate on the agents and Plays that ship inside our products.
• Owning the Plays Library: Curate and expand our library of pre-built GTM workflows.
• Defining the Marketplace Experience: Own the customer-facing marketplace where users discover, evaluate, and deploy agentic workflows.
• Translating GTM Expertise into Agentic Design: Bring GTM operational expertise to agent design.

To be successful in this role, you will need to have direct experience building agentic workflows, hands-on familiarity with AI-assisted development, and a deep understanding of GTM operations.

If you're a builder first, GTM operations native, and have a strong understanding of agentic workflow intuition, we'd love to hear from you!

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We are looking for a curious and skilled Product Designer ready to take on advanced design challenges and help elevate our security products' user experience. You will collaborate closely with cross-functional teams, including Product Managers, Engineers, Senior and Principal Designers, and UX Researchers, to craft intuitive, research-driven solutions that align with Elastic's vision. This is not just a role; it's a chance to grow your career while tackling some of the most meaningful, complex problems in the industry.

Applications without a link (and password, if applicable) to a Portfolio or a Case Study will not be considered. We appreciate your understanding.

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Your primary responsibility will be to architect intuitive AI experiences, contributing to product strategy and managing stakeholders. You will also be involved in innovating through user-centred design, translating user needs, technical understanding, and business requirements into groundbreaking design solutions.

To be successful in this role, you will need to have a robust portfolio showcasing fluency in visual, motion, and interaction design skills, with specific examples of work specific to AI-powered interfaces and interactions. You will also need to demonstrate expertise in designing user-centric experiences across diverse platforms, with a strong understanding of how to adapt AI interactions to different device contexts.

In addition, you will need to have excellent communication and collaboration skills, with the ability to listen, articulate positions, and challenge partners with new product design thinking. You will also need to be a strong systems thinker, with a passion for creating innovative and user-centred AI design solutions.

The US base salary range for this full-time position is between $178,000 USD - $265,000 + bonus + equity + benefits.

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Responsibilities:

• Work directly with customers and internal teams to uncover high-leverage problems
• Design, build, and deploy AI-powered tools and product experiences
• Write production code and ship frequent improvements across the customer journey
• Automate operational workflows such as onboarding, reporting, proposals, and internal tooling
• Leverage AI developer tools (e.g., Windsurf, Cursor, LLMs) to increase speed and quality
• Own full feedback loops: discovery, design, build, deploy, and iteration
• Partner closely with Sales, Onboarding, Account Management, and Product teams

Requirements:

• Strong builder mindset; experience launching products, tools, or businesses independently
• Comfort working directly with users and translating insights into shipped solutions
• Ability to write production code independently (e.g., Python, JavaScript, or similar languages)
• Experience working with AI / LLMs and modern developer tooling
• Business-minded approach to prioritization and problem-solving
• Comfort operating in ambiguity with high ownership and minimal hand-holding
• Interest in fast-paced, in-person, high-trust environments

Compensation:

For future Forward Deployed AI Engineer roles based in California, the expected base salary range is approximately $181,000 – $203,000. Actual compensation may vary based on role scope, level, experience, and business needs at the time of hire. These roles may also be eligible for equity and benefits.

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You'll work on mission-critical software that bridges responsive user interfaces with robust backend systems, enabling human operators to plan, command, and monitor autonomous assets with precision and reliability.

Responsibilities:

• Design, develop, and optimize ground control software that enables low-latency communication with UAVs and other autonomous platforms.

• Build high-performance client and server applications that support telemetry processing, mission planning, and real-time control.

• Implement responsive user interfaces with React and TypeScript for operator workflows and visualization of spatial data, sensor feeds, and mission state.

• Collaborate closely with teams across autonomy, embedded systems, backend, and UX to deliver integrated, field-ready solutions.

• Contribute to architectural decisions and system designs that ensure responsiveness, scalability, and fault-tolerance.

• Lead development efforts on key features or subsystems, from early design through deployment and iteration.

• Write high-quality, well-tested code and participate in peer design/code reviews.

Requirements:

• Senior: Bachelor's degree with 5+ years of relevant experience, or Masters with 4+ years, or PhD with 2+ years.

• Staff: Bachelor's degree with 7+ years of relevant experience, or Masters with 6+ years, or PhD with 4+ years.

• Senior Staff: Bachelor's degree with 10+ years of relevant experience, or Masters with 9+ years, or PhD with 7+ years.

• Demonstrated experience building real-time or performance-sensitive applications,preferably for UAVs, robotics, autonomous vehicles, or simulation environments.

• Proficiency in a strongly typed programming language (e.g. C#, TypeScript, Java, C++) with exposure to lower-level systems or protocol integration.

• Experience with web technologies, especially React, TypeScript/JavaScript, and Node.js.

• Strong software engineering fundamentals including version control, testing, debugging, and performance profiling.

• Proven ability to deliver high-quality software as part of a collaborative engineering team.

Preferences:

• Experience with GCS software, mission planning tools, or real-time visualization platforms.

• Familiarity with API-driven systems using REST or gRPC, and communication protocols like WebSocket or custom telemetry formats.

• Knowledge of standards such as STANAG 4586, Cursor on Target (CoT), or MAVLink.

• Familiarity with containerized environments (e.g., Docker, Kubernetes) and CI/CD practices.

• Exposure to distributed systems and cloud integration for telemetry data pipelines.

• Understanding of security best practices in control systems and networked applications.

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

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

What You'll Be Doing

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

What You Need for This Role

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

Technologies We Use

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

Benefits

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

Cultivate Trust

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

Seek Context

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

Act Boldly

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

Deliver Results

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

Succeed Together

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

Remember Why We’re Here

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

About Omada Health

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

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The AI platform for investors and bankers that generates alpha and drives upside.

Founded in 2020 by George Sivulka and backed by Peter Thiel and Andreessen Horowitz, Hebbia powers investment decisions for BlackRock, KKR, Carlyle, Centerview, and 40% of the world’s largest asset managers. Our flagship product, Matrix, delivers industry-leading accuracy, speed, and transparency in AI-driven analysis. It is trusted to help manage over $30 trillion in assets globally.

We deliver the intelligence that gives finance professionals a definitive edge. Our AI uncovers signals no human could see, surfaces hidden opportunities, and accelerates decisions with unmatched speed and conviction. We do not just streamline workflows. We transform how capital is deployed, how risk is managed, and how value is created across markets.

Hebbia is not a tool. Hebbia is the competitive advantage that drives performance, alpha, and market leadership.

The Team

The Document Intelligence team at Hebbia builds cutting-edge AI solutions that transform how users discover and interact with billions of private and public documents. Our products, including the Hebbia’s Browse application, enable intelligent document exploration, powerful search capabilities, and deep insights extraction. We focus on developing advanced data ingestion and search technologies that deliver intuitive, explainable, and highly responsive experiences. Working closely with customers, our team continuously iterates to address real-world challenges and drive impactful, data-driven decisions. Our goal is to empower users by seamlessly turning vast and complex document repositories into actionable intelligence.

The Role

Platform engineering at Hebbia is about excellent, scalable enablement. You are responsible for the core distributed systems that power billions of tokens across millions of dollars of AUM. You will be responsible for deploying efficient systems and building software tightly coupled with state-of-the-art infrastructure/system design. Hebbia’s edge is built on operating on the edge of the tokenomics curve and you will serve as a key contributor in this area. We value engineers who think on their feet, innovate and can solve for exponential scale.

Responsibilities

• Own critical system components: Take complex requirements and turn them into robust, scaled solutions that solve real customer needs.
• Unlock O(1) universal indexing: Build and iterate on our high-scale document build system that enables constant time latency for indexing any content in the world, regardless of data volume.
• Drive performance optimization: Architect and implement performance-tuning solutions to ensure our systems operate efficiently at scale, minimizing latency and maximizing throughput across millions of documents.
• Mentor and guide: Provide technical leadership, mentorship, and guidance to junior engineers, fostering a culture of learning and growth.

Who You Are

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. A strong academic background with coursework in data structures, algorithms, and software development is preferred.
• 5+ years software development experience at a venture-backed startup or top technology firm, with a focus on distributed systems and platform engineering.
• Proficiency in building backend and distributed systems using technologies such as Python, Java, or Go.
• Deep understanding of scalable system design, performance optimization, and resilience engineering.
• Extensive experience with cloud platforms (e.g., AWS).
• Working experience with one or more of the following: Kafka, ElasticSearch, PostgreSQL, and/or Redis.
• Knowledge of workflow orchestration and execution platforms like Airflow, Temporal or Prefect.
• Proven experience enabling observability patterns.
• Ability to analyze complex problems, propose innovative solutions, and effectively communicate technical concepts to both technical and non-technical stakeholders.
• Proven experience in leading software development projects and collaborating with cross-functional teams. Strong interpersonal and communication skills to foster a collaborative and inclusive work environment.
• Enthusiasm for continuous learning and professional growth. A passion for exploring new technologies, frameworks, and software development methodologies.
• Autonomous and excited about taking ownership over major initiatives.

Bonuses:

• Experience building distributed systems leveraging technologies such as etcd or Apache Zookeeper.
• Frequent user of AI products, especially during the development lifecycle (i.e. Cursor, Claude Code, etc).

Compensation

The salary range for this role is $160,000 to $300,000. This range may be inclusive of several career levels at Hebbia and will be narrowed during the interview process based on the candidate’s experience and qualifications. Adjustments outside of this range may be considered for candidates whose qualifications significantly differ from those outlined in the job description.

Life @ Hebbia

• PTO: Unlimited
• Insurance: Medical + Dental + Vision + 401K
• Eats: Catered lunch daily + doordash dinner credit if you ever need to stay late
• Parental leave policy: 3 months non-birthing parent, 4 months for birthing parent
• Fertility benefits: $15k lifetime benefit
• New hire equity grant: competitive equity package with unmatched upside potential

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Your day-to-day will involve leading security architecture/design review and threat modeling sessions with product and engineering teams, translating threats into actionable, risk-rated engineering remediations prioritized by severity, conducting hands-on penetration testing and security assessments across our full product stack, and driving PSIRT operations by triaging incoming vulnerability reports, leading technical investigations, coordinating remediation with engineering, scoring severity (CVSS), managing coordinated disclosure with external researchers, and on-call incidents.

You will also shape the posture of our AI-assisted development environment, defining and enforcing enterprise policies for Claude and Cursor, and partner across the organization, sitting in design review with architects, advising product managers and engineering teams on security and compliance implications of new features, briefing executives on emerging AI threats, mentoring junior security engineers, and collaborating with the AI team on securing ML pipelines.

As a champion of security culture, you will run developer training on secure coding with AI assistants, evangelize security by design for products, and ensure every engineer understands that product security is an enabler and not a gate.

You will bring 10+ years of product security experience spanning application security, cloud security, and secure SDLC, expert-level threat modeling using STRIDE, PASTA, or equivalent across web, mobile, cloud, embedded, and AI systems, hands-on penetration testing skills across applications, API, cloud infrastructure, and hardware/firmware, and deep hands-down AI security expertise and expert-level understanding of OWASP Top 10 for LLM, API, Web, Mobile, and practical experience with MITRE.

You will have strong hands-on experience in security tools SAST, DAST, SCA, and securing AI development tools specifically Claude and Cursor, and understand MCP security risks and know how to architect enterprise guardrails that enable safe AI-assisted development.

You will also have strong programming ability and capability to review code, build security tools, automate workflows, and be credible with the engineering teams you partner with.

Preferred experience includes hardware and embedded security experience with knowledge of secure boot, firmware integrity, hardware root of trust, and IoT threat modeling experience, and experience in the Financial industry, knowledge of PCI DSS, COPPA, or demonstrated ability to learn regulated domains quickly.

Work perks at Greenlight include medical, dental, vision, and HSA match, paid life insurance, AD&D, and disability benefits, traditional 401k with company match, unlimited PTO, paid company holidays and pop-up bonus holidays, professional development stipends, mental health resources, 1:1 financial planners, fertility healthcare, 100% paid parental and caregiving leave, plus cleaning service and meals during your leave, flexible WFH, both remote and in-office opportunities, fully stocked kitchen, catered lunches, and occasional in-office happy hours, and employee resource groups.

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Your work will involve proactively researching protocol integrations with emerging blockchains, developing on-chain solutions that drive value for protocol foundations and institutional investors. You will independently define the requirements and roadmap, collaborating closely with an agile scrum team on cutting-edge blockchain research and integrations.

Key responsibilities include:

• Maintaining a deep technical understanding of the crypto landscape, including various Layer 1 and Layer 2 protocols.
• Demonstrating a history of meaningful contributions to technical projects with the ability to write clean, effective code.
• Leveraging AI tools like Cursor, Claude, and ChatGPT to accelerate prototyping, research, and reviews thoughtfully.

You will work closely with sales, protocol research, engineering, and product to set the pace, drive projects forward, and unblock the team. You will also represent Anchorage Digital as a technical ambassador in online forums, at industry events, and during client engagements.

To be successful in this role, you will need to have a demonstrable passion and deep technical understanding of the crypto landscape, including various Layer 1 and Layer 2 protocols. You should also have exceptional communication skills, with the ability to articulate complex technical concepts to both engineering and executive audiences.

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Your responsibilities will include:

• Architecting and optimizing high-performance simulation kernels for the Synopsys VCS RTL simulator using advanced C++ techniques.
• Exploring and implementing GPU acceleration strategies with CUDA to significantly reduce simulation runtimes for customers.
• Leveraging deep knowledge of Verilog/SystemVerilog LRM to ensure accurate and reliable simulation across diverse design environments.
• Integrating AI-powered tools (such as Cursor, GitHub Copilot, and generative AI assistants) to automate code generation and debugging processes.
• Mentoring and guiding junior engineers, fostering skills development and technical growth within the team.
• Collaborating with distributed R&D teams to maintain Synopsys' leadership and drive innovation in the EDA industry.

As a senior staff engineer, you will have a significant impact on the company's success. You will be responsible for driving the evolution of the world's fastest Verilog simulator, setting new industry standards for performance and reliability. You will also empower customers to achieve greater productivity and efficiency through advanced simulation capabilities and reduced runtimes.

To be successful in this role, you will need to have:

• 8-10 years of relevant experience.
• Expert-level proficiency in C++ with proven experience in performance-critical software development.
• Deep understanding of Verilog/SystemVerilog Language Reference Manuals (LRM) and simulation methodologies.
• Hands-on experience with GPU programming, especially using CUDA for parallel acceleration.
• Familiarity with AI-powered development tools such as Cursor, GitHub Copilot, and generative AI assistants.
• Strong architectural design skills and ability to analyze and optimize complex software systems.
• Experience in mentoring and guiding junior engineers within an R&D environment.

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We're hiring a Software Engineer for our User Operations team to build the internal tools, data infrastructure, and AI-powered systems that make our support team the most efficient in the world. You'll work directly with our operations teams to design, implement, and scale the systems that enable us to serve millions of developers. You’ll work on everything from ticket routing optimisation to analytics dashboards to AI agents that automate workflows end-to-end.

This is an internal-facing role with exponential impact on our users. You'll be building the infrastructure that makes every person on the User Ops team faster, smarter, more empathetic, and more effective. If you've ever looked at a manual process and thought 'I could automate that,' this role might suit you well.

What you’ll do

• Design and build internal tools and applications that empower User Ops to deliver exceptional support at scale.

• Build and maintain data pipelines and dashboards that surface actionable insights on ticket volume, resolution times, and support quality.

• Optimise ticket routing and triage systems to get the right issues to the right people faster.

• Develop AI-powered automations that deflect tickets, assist agents, improve documentation, and expand knowledge for all customer-facing Cursor teams

• Build integrations across our tooling ecosystem (ticketing systems, payment processes, CRM, data warehouse, etc.) to create seamless workflows.

• Partner with Technical Support Engineers and Community Support Engineers to identify pain points and ship solutions quickly.

You may be a fit if

• Experience building internal tools, developer platforms, or operations infrastructure.

• Strong full-stack engineering skills—you're comfortable owning projects from database to UI.

• Experience with data pipelines, ETL processes, and analytics tooling.

• Familiarity with Cursor and AI-assisted development workflows.

• Experience integrating with third-party platforms (ticketing systems, payment processors, CRMs).

• Strong sense of ownership and a bias for action—you ship fast and iterate based on feedback.

• Self-starter with curiosity, creativity, and a distaste for manual toil.

Name Email ↥ Upload file LinkedIn URL GitHub Profile

Please write a short note on a project you're proud of:

Will you now or in the future require visa sponsorship to work in the country where this position is located?

Has someone at Cursor referred you for this role? If so, please include their email here

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You'll be an IC Strategic Account Executive selling Cursor into consumer-facing enterprises where engineering velocity impacts revenue and customer experience (ecommerce, marketplaces, hospitality platforms, media/streaming, entertainment brands). You'll win by proving real-world impact and scaling adoption across large product engineering orgs.

What you'll do

• Own a vertical portfolio and net-new strategy across retail/hospitality/entertainment
• Build relationships across Product Engineering, DevEx, Security, and Procurement
• Tie Cursor to outcomes like faster launches, fewer defects, and reduced operational toil
• Run hands-on POVs with real repos and production workflows
• Navigate enterprise security/compliance reviews and commercial negotiation
• Drive adoption plans (enablement, champions, rollout sequencing) and expansions
• Share customer learnings to sharpen Cursor's positioning and rollout playbooks

You may be a fit if

• 7+ years enterprise closing experience; consumer/internet background is a plus
• You're comfortable selling to technical buyers and quantifying business impact
• Strong outbound + account planning chops; you create pipeline consistently
• You're a true hunter - you proactively build pipeline from scratch through outbound prospecting, creative sourcing, and relentless follow-up, rather than relying on inbound demand
• High ownership IC who moves fast and communicates crisply

Name Email ↥ Upload file LinkedIn URL GitHub Profile

Please write a short note on a project you're proud of:

Will you now or in the future require visa sponsorship to work in the country where this position is located?

Has someone at Cursor referred you for this role? If so, please include their email here

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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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What you'll do

• Architect Tokyo-based support operations covering JST time zone (9 AM - 6 PM) with 8-hour shift rotations
• Implement comprehensive QA protocols and performance metrics that align with both global standards and regional expectations

What you need

• Fluency in English and Japanese
• Technical writing proficiency in Japanese
• Proficiency in Python/NodeJS and SQL

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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
• Lead collaborative efforts with 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
• Python development skills, C#, JavaScript, HTML, and CSS is beneficial
• Experience using agentic AI software engineering solutions such as Cursor
• 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
• A comprehensive understanding of architecture and design principles, and cloud services, such as:
• AWS, Azure, and GCP cloud services
• Enterprise architecture and microservices design
• Observability and telemetry
• Infrastructure as code and CI/CD
• 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

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