This role blends technical depth, program management, customer advisory, and product influence. You will partner deeply with customer teams, map workflows, lead configuration, oversee deployment plans, and guide customers toward high impact use cases that showcase the full value of our platform.

Key responsibilities include:

• Owning post-sale technical success, adoption, and value realization across a large portfolio of customers
• Acting as a trusted advisor on deployment health, adoption strategy, and value realization for ChatGPT, API, Codex, and related capabilities
• Using logs, telemetry, usage patterns, and customer feedback to diagnose issues, form hypotheses, and guide practical recommendations on latency, reliability, model choice, prompting, cost efficiency, and rollout readiness
• Leading targeted interventions for moments that matter - launches, risk signals, escalations, renewal preparation, and high-potential expansion opportunities
• Translating customer goals into prioritized adoption plans, success milestones, and measurable KPIs that can be executed through a mix of direct engagement, scaled programs, and cross-functional support

To succeed in this role, you will need:

• 6+ years of experience in technical customer-facing roles such as technical account management, technical success, technical consulting, solutions architecture, technical delivery leadership, or enterprise SaaS / AI adoption
• Strong working knowledge of OpenAI product capabilities, APIs, connectors, and common deployment patterns, and able to explain model behavior, limitations, and tradeoffs in practical business terms
• Technically fluent enough to engage credibly with customer technical teams and interpret logs, telemetry, usage data, and system behavior, without needing to be the primary implementation owner
• Ability to reason through production tradeoffs such as latency, cost, quality, prompting, routing, rate limits, retrieval, caching, and reliability, and turn those into practical recommendations
• Strong portfolio prioritization instincts and judgment about where direct engagement will create the most customer and business impact
• Excellent project and program management instincts, with the ability to drive multiple workstreams with clarity and structure
• Strong communicator who can move fluidly between executive conversations about business impact and technical conversations about optimization, risks, and constraints
• Operate with high ownership and can manage ambiguity, fast decision making, and dynamic customer needs
• Have a strong record of driving measurable adoption, deployment health, and customer value for large enterprise customers with complex stakeholder environments
• Have experience building repeatable playbooks, processes, or operating mechanisms that scale impact across many customers, not just through individual heroics
• Know when to solve independently and when to pull in Solutions Architecture, Engineering, Product, or other specialist teams

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We’re looking for a Principal Product Manager who sees that opportunity clearly and has the conviction and the hands to go build it. Someone who invents on behalf of customers rather than waiting to be told what they want. Someone who thinks about AI not just as a set of features to add, but as the means by which we rethink the whole product on behalf of the people who use it every day. The role is yours to define. The surface area is massive. The moment is now.

As a Principal Product Manager, you will own the AI-native product strategy for Microsoft Edge, defining how AI collapses the distance between what people want and what they can accomplish , across research, tasks, decisions, and everything else people bring to their browser. You will invent on behalf of billions of users: form solid, well-reasoned convictions about what people need before they can articulate it themselves, and build toward that vision.

Turn frontier AI capabilities into experiences customers actually want to use, not demos that impress in a conference room and disappear six months later. Run fast, hypothesis-driven experimentation cycles across new AI interaction patterns and UI flows; let real usage data sharpen your convictions. Partner with research teams to identify model advances with real customer value and move them from research to shipped product. Work with data science and growth teams to ensure AI-powered features reach and retain the users who need them most.

Set clear direction in ambiguous spaces, make tradeoffs visible to leadership, and drive alignment across partner teams. Operate as a senior IC: coach PMs on adjacent workstreams, unblock critical path items, and hold a high bar for what “done” means.

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This is a rare opportunity to be a part of a team crafting something that challenges everything we know about software and consumer products. At Microsoft AI, our Health team is on a mission to help millions of users better understand and proactively manage their health and wellbeing. We’re responsible for ensuring that Microsoft AI’s models and services are useful, trusted and safe across diverse customer health journeys.

We’re on the lookout for a talented and passionate Principal Product Designer to deliver end-to-end experiences for our health AI product, crafting world-class products that empower users and promote positive health outcomes.

Key responsibilities:

Ship world-class AI applications that delight consumers with an emphasis on craft, quality, trust, and positive user and societal impact

Own an entire product area and be responsible for understanding user needs and behaviors, defining product requirements, managing end-to-end product development, launches and iterations

Cross-functional communication and dependency management, scoping and scheduling, and seeing through implementation by collaborating with engineering through the finish line

Find your own path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively

Set the bar for excellence and quality

Enjoy working in a fast-paced, design-driven, product development cycle

Translate business goals into strategy, user experience and technical requirements in close collaboration with UX designers and AI model training teams

Define goals and performance indicators, set up and oversee experiments, measure success with data and research

Collaborate effectively and communicate clearly with cross-functional teams, including product managers, designers, and other engineers, to build exceptional consumer-grade applications

Required Qualifications:

Bachelor’s Degree in Industrial Design, Product Design, Human Computer Interaction, User Experience, Interaction Design, or related field AND experience working in product or service design OR equivalent experience (e.g., demonstrated experience working in product or service design or using design thinking to solve problems)

Ability to collaborate effectively with engineering to ensure details make it to the hands of the user

Experience that demonstrates proven ability to advocate for design thinking, influence design outcomes, discover problems and tackle them in fast-paced and ambiguous environments

Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team

Ability to own your work in a fast-paced. start-up like environment, manage multiple priorities, and adapt to ever-changing requirements and deadlines

A portfolio or work samples that demonstrate shipping world class consumer products from vision through launch

Preferred Qualifications:

Proven track record of setting design vision for innovative products that require bold thinking and risk taking

Ability to break large bodies of work into a phased execution plan, and lead a cross-functional team from idea to polished implementation

Experience with diving into research and leveraging both qualitative and quantitative signals for design impact

Experience prompting LLMs, working with generative AI, or a demonstrated curiosity and desire to learn

Not required, but familiarity with the healthcare space is a plus!

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This is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You'll work directly with customer engineering teams to integrate AI into their critical workflows.

Key Responsibilities

Customer Integration & Deployment

• Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements
• Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs)
• Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows
• Deploy and configure AI models and agents within customer security and compliance boundaries

AI Agent Development

• Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation
• Architect multi-agent systems that orchestrate between different models, tools, and data sources
• Implement evaluation frameworks to measure agent performance and iterate toward business objectives
• Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement

Prompt Engineering & Optimization

• Create sophisticated prompt engineering strategies optimized for customer-specific domains and data
• Build and maintain prompt libraries, templates, and best practices for customer use cases
• Conduct systematic prompt experimentation and A/B testing to improve model outputs
• Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate

Technical Leadership & Collaboration

• Serve as the primary technical point of contact for strategic enterprise accounts
• Collaborate with customer data scientists, ML engineers, and software developers to ensure smooth integration
• Provide technical training and knowledge transfer to customer teams
• Work closely with Scale's product and engineering teams to translate customer needs into product improvements
• Document technical architectures, integration patterns, and best practices

Problem Solving & Innovation

• Debug complex technical issues across the entire stack, from data pipelines to model outputs
• Rapidly prototype solutions to unblock customers and prove out new use cases
• Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems
• Identify opportunities for productization based on common customer patterns

Required Qualifications

• 4+ years of software engineering experience with strong fundamentals in data structures, algorithms, and system design
• Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API)
• Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure
• Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions
• Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences

Preferred Qualifications

• Agent Development Wiz
• Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures
• Experience building and deploying AI agents or autonomous systems in production
• Knowledge of vector databases and semantic search systems
• Contributions to open-source AI/ML projects

• Infrastructure Guru
• Experience with containerization (Docker, Kubernetes) and CI/CD pipelines
• Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools
• Previous work in a devops, platform, or infra role

• Customer Product Whisperer
• Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role
• Domain expertise in verticals like finance, healthcare, government, or manufacturing
• Experience with technical enablement or teaching programs

Sample Projects

The following are some examples of the types of projects we’ve worked on with customers. All of these projects leverage customer data, integrate directly into customers’ existing systems, and are deployed on their infrastructure.

• Deep Research for Due Diligence
• Churn Prediction
• Data Extraction Voice Agent

Compensation

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

Pay Transparency

For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $216,000-$270,000 USD

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You'll work with enterprise clients to understand their unique challenges, lead a team that architects specific AI solutions, and ensure successful deployment and adoption of AI systems in production environments.

This is a Management role that combines deep engineering and AI expertise, leading a team, and working on customer-facing problems. You'll work directly with customer engineering teams to integrate AI into their critical workflows.

Customer Integration & Deployment

Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements.

Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs).

Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows.

Deploy and configure AI models and agents within customer security and compliance boundaries.

AI Agent Development

Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation.

Architect multi-agent systems that orchestrate between different models, tools, and data sources.

Implement evaluation frameworks to measure agent performance and iterate toward business objectives.

Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement.

Prompt Engineering & Optimization

Create sophisticated prompt engineering strategies optimized for customer-specific domains and data.

Build and maintain prompt libraries, templates, and best practices for customer use cases.

Conduct systematic prompt experimentation and A/B testing to improve model outputs.

Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate.

Leadership & Collaboration

Serve as the Engineering Manager and technical point of contact for strategic enterprise accounts.

Lead a team that is collaborating with customer data scientists, ML engineers, and software developers to ensure smooth integration.

Work closely with Scale's product and engineering teams to translate customer needs into product improvements.

Document technical architectures, integration patterns, and best practices.

Problem Solving & Innovation

Debug complex technical issues across the entire stack, from data pipelines to model outputs.

Rapidly prototype solutions to unblock customers and prove out new use cases.

Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems.

Identify opportunities for productization based on common customer patterns.

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You'll lead deep technical engagements, partnering directly with startup engineering teams to help them develop their products on top of Claude,advising on implementation, agent design, and working alongside them to build at the frontier of AI.

Working closely with Applied AI Architects, Account Executives, and Anthropic's Product and Engineering teams, you'll guide startups through deep technical engagements. You'll leverage your AI engineering expertise to develop custom evaluation frameworks, design scalable architectures, and create the technical resources that enable startups to succeed with Claude.

Responsibilities:

• Serve as a deep technical advisor to high-potential startups, working alongside them to build innovative use cases that push the boundaries of AI

• Work hands-on with startup engineering teams: pair programming, architecture reviews, and code contributions that accelerate their development

• Develop prototypes and technical documentation,including evaluation suites, AI engineering techniques, and architecture diagrams,that enable startups to build and scale with Claude

• Collaborate closely with Applied AI Architects to maintain context and continuity across customer engagements

• Identify patterns across engagements and contribute insights back to Product, Engineering, and the broader Applied AI team

• Create technical content for startup audiences including documentation, tutorials, and sample code

• Foster community engagement through hackathons, webinars, technical office hours, and startup-focused events

• Travel to customer sites for workshops, implementation support, and relationship building

You may be a good fit if you have:

• 4+ years of experience as a Software Engineer, Forward Deployed Engineer, or technical founder

• Production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale

• Strong programming skills with proficiency in Python and experience building production applications

• Experience with startups or high-growth companies

• Ability to context-switch across industries (healthcare, fintech, etc.) and use cases

• Builder credibility that earns trust with technical founders and engineering teams,you've shipped products and can speak from experience

• Strong technical communication skills with the ability to translate complex AI concepts into architectural decisions and actionable implementation plans

• Experience facilitating technical workshops, hackathons, or developer-focused events

• Passion for making powerful technology safe and beneficial

The annual compensation range for this role is $200,000-$320,000 USD.

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You will be at the forefront of our efforts to build and scale an industry-leading AI assurance program. While your initial focus will be on leveraging agentic AI to transform SOX testing, you'll have opportunities to impact cross-functional areas including security, platform regulatory risks and non-financial metrics.

Key responsibilities include:

• Architect and scale our SOX compliance program by designing, developing, and maintaining AI-driven testing that enhances accuracy, provides real-time insights, and reduces manual overhead.
• Spearhead the testing of internal controls using agentic AI systems to identify and mitigate potential threats.
• Partner closely with Engineering, IT, and business teams to integrate our AI automation with internal systems, enabling end-to-end automated assurance workflows.
• Serve as a subject matter expert and champion for the use of AI and automation in risk management.
• Contribute to a culture of innovation and excellence within the Risk Advisory and Assurance team.

Requirements include:

• 2 to 4 years of experience in a Big 4 accounting firm, internal audit, and/or compliance function with a demonstrated passion for technology and automation.
• Subject matter expertise in SOX and/or security compliance testing in the technology industry, preferably platform companies.
• Self-motivated, results-oriented technology-first thinker with a proactive and creative approach to problem-solving.
• Collaborator with a strong work ethic and enthusiasm for learning, who thrives in a fast-paced, dynamic environment.

Preferred qualifications include:

• Professional certifications such as CISA, CPA, CIA, and/or CISSP.
• Hands-on experience leveraging AI tools and prompting.
• Familiarity with programming languages such as SQL and Python.

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As a research engineer, you'll partner with the product org to ensure that the vision improvements you deliver impact Claude's performance on real-world tasks. You'll also work with our product org to find solutions to our most vexing API customer challenges related to vision and spatial reasoning.

Strong candidates may also have experience with large-scale pretraining, SL, and RL on language models, deep learning research on images, video, or other modalities, developing complex agentic systems using LLMs, high-performance ML systems (GPUs, TPUs, JAX, PyTorch), and large-scale ETL and data pipeline development.

The annual compensation range for this role is $350,000-$850,000 USD.

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Responsibilities:

• Serve as a deep technical partner to mission-driven organisations through advising on evals, agent architectures, context engineering, cost optimisation, and more
• Provide hands-on support to partner engineering teams through pair programming, prototyping, and code contributions that accelerate their development
• Develop public goods infrastructure that benefits entire ecosystems through benchmarks, MCP's, and Agent Skills
• Identify challenges unique to social impact partners, and contribute findings and improvements back to product, engineering, and research
• Create technical presentations, demos, and scalable technical content (documentation, tutorials, sample code) to accelerate partner adoption and self-service
• Help shape team processes and culture as we scale from 1 to N
• Travel occasionally to customer sites for workshops, technical deep dives, and relationship building

You might be a good fit if you have:

• 4+ years as a Software Engineer, Forward Deployed Engineer, or technical founder
• Production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale
• Builder credibility that earns trust with technical founders and engineering teams,you've shipped products and can speak from experience
• Experience working in ed-tech, healthcare, scientific research, nonprofit, or other mission-driven organisations, understanding their unique challenges and constraints
• A love of teaching, mentoring, and helping others succeed
• A scrappy mentality–comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission

The annual compensation range for this role is $280,000-$300,000 USD.

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Working closely with Applied AI Architects, Account Executives, and Anthropic's Product and Engineering teams, you'll guide customers through deep technical engagements. You'll leverage your AI engineering expertise to develop custom evaluation frameworks, design scalable architectures, and create the technical resources that enable tech-forward businesses to succeed with Claude.

Responsibilities:

• Serve as a deep technical advisor to high-growth, tech-forward companies, working alongside them to build innovative use cases that push the boundaries of AI

• Work hands-on with customer engineering teams: pair programming, architecture reviews, and code contributions that accelerate their development

• Develop prototypes and technical documentation,including evaluation suites, AI engineering techniques, and architecture diagrams,that enable customers to build and scale with Claude

• Collaborate closely with Applied AI Architects to maintain context and continuity across customer engagements

• Identify patterns across engagements and contribute insights back to Product, Engineering, and the broader Applied AI team

• Create technical content for developer audiences including documentation, tutorials, and sample code

• Foster community engagement through hackathons, webinars, technical office hours, and developer-focused events

• Travel to customer sites for workshops, implementation support, and relationship building

You may be a good fit if you have

• 4+ years of experience as a Software Engineer, Forward Deployed Engineer, or technical founder

• Experience in a customer-facing or pre-sales technical role - partnering with customers to scope, design, and deliver solutions

• Production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale

• Strong programming skills with proficiency in Python and experience building production applications

• Experience working with high-growth, tech-forward companies

• Ability to context-switch across industries (healthcare, fintech, etc.) and use cases

• Builder credibility that earns trust with technical founders and engineering leaders - you've shipped products and can speak from experience

• Strong technical communication skills with the ability to translate complex AI concepts into architectural decisions and actionable implementation plans

• Experience facilitating technical workshops, hackathons, or developer-focused events

• Passion for making powerful technology safe and beneficial

The annual compensation range for this role is £225,000-£240,000 GBP.

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You'll lead deep technical engagements, partnering directly with startup engineering teams to help them develop their products on top of Claude,advising on implementation, agent design, and working alongside them to build at the frontier of AI.

Working closely with Applied AI Architects, Account Executives, and Anthropic's Product and Engineering teams, you'll guide startups through deep technical engagements. You'll leverage your AI engineering expertise to develop custom evaluation frameworks, design scalable architectures, and create the technical resources that enable startups to succeed with Claude.

Responsibilities:

• Serve as a deep technical advisor to high-potential startups, working alongside them to build innovative use cases that push the boundaries of AI

• Work hands-on with startup engineering teams: pair programming, architecture reviews, and code contributions that accelerate their development

• Develop prototypes and technical documentation,including evaluation suites, AI engineering techniques, and architecture diagrams,that enable startups to build and scale with Claude

• Collaborate closely with Applied AI Architects to maintain context and continuity across customer engagements

• Identify patterns across engagements and contribute insights back to Product, Engineering, and the broader Applied AI team

• Create technical content for startup audiences including documentation, tutorials, and sample code

• Foster community engagement through hackathons, webinars, technical office hours, and startup-focused events

• Travel to customer sites for workshops, implementation support, and relationship building

You may be a good fit if you have:

• 4+ years of experience as a Software Engineer, Forward Deployed Engineer, or technical founder

• Production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale

• Strong programming skills with proficiency in Python and experience building production applications

• Experience with startups or high-growth companies

• Ability to context-switch across industries (healthcare, fintech, etc.) and use cases

• Builder credibility that earns trust with technical founders and engineering teams,you've shipped products and can speak from experience

• Strong technical communication skills with the ability to translate complex AI concepts into architectural decisions and actionable implementation plans

• Experience facilitating technical workshops, hackathons, or developer-focused events

• Passion for making powerful technology safe and beneficial

The annual compensation range for this role is $200,000-$320,000 USD.

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This role requires a passion for understanding and modeling the interactions between AI and society, a strong awareness of the AI alignment and safety landscape, and a penchant for developing novel ideas, methods, interfaces, and tools.

As a Research Scientist at Google DeepMind, you will join a team working to supercharge exploration, assessment, and steering of evolving AI behaviours, with a focus on subjective and creative tasks. You will tackle the underlying research questions to improve collaborative specification of alignment objectives and assessment of adherence to desired behaviours.

Key responsibilities include generating new ideas, executing cutting-edge ideas, communicating research findings, collaborating with other researchers, and driving technical projects.

To be successful in this role, you will need a PhD degree in Computer Science, Machine Learning, or a related technical field, a strong publication record in top machine learning conferences, and demonstrated hands-on experience in developing multimodal AI models and systems.

In addition, experience with large-scale vision language models, fine-tuning and post-training LLMs using RL, and developing agentic AI solutions to complex problems would be an advantage.

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Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About Beneficial Deployments

Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organisations to deploy Claude in education, global health, economic mobility, and life sciences, focusing on raising the floor.

About the Role

We're looking for an Applied AI Engineer to join our Beneficial Deployments team. You'll use your deep technical expertise to help partners accelerate their impact through advising on evals, hill-climbing on harnesses, prototyping new agents, etc. You will also work on building ecosystem-level tooling and infrastructure to scale impact beyond individual partnerships.

Responsibilities

• Serve as a deep technical partner to mission-driven organisations through advising on evals, agent architectures, context engineering, cost optimisation, and more
• Provide hands-on support to partner engineering teams through pair programming, prototyping, and code contributions that accelerate their development
• Develop public goods infrastructure that benefits entire ecosystems through benchmarks, MCP's, and Agent Skills
• Identify challenges unique to social impact partners, and contribute findings and improvements back to product, engineering, and research
• Create technical presentations, demos, and scalable technical content (documentation, tutorials, sample code) to accelerate partner adoption and self-service
• Help shape team processes and culture as we scale from 1 to N
• Travel occasionally to customer sites for workshops, technical deep dives, and relationship building

You Might Be a Good Fit If You Have

• 4+ years as a Software Engineer, Forward Deployed Engineer, or technical founder
• Production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale
• Builder credibility that earns trust with technical founders and engineering teams—you've shipped products and can speak from experience
• Experience working in ed-tech, healthcare, scientific research, nonprofit, or other mission-driven organisations, understanding their unique challenges and constraints
• A love of teaching, mentoring, and helping others succeed
• A scrappy mentality–comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission

Logistics

• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal

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We're looking for an Applied AI Engineer to join our Beneficial Deployments team, focused on maximising the impact of Claude in the life sciences. Our goal is ambitious: accelerate scientific progress from R&D through translation by an order of magnitude.

You'll work directly with flagship research partners like Howard Hughes Medical Institute and The Allen Institute, embedded in their scientific workflows. This isn't consulting from the outside — you'll be building alongside their engineers, prototyping agents that fit into real research pipelines, and developing the ecosystem-level tooling (MCP servers, benchmarks, reusable agent skills) that extends Claude's usefulness across the broader life sciences community.

Responsibilities:

• Partner deeply with flagship life sciences research institutions — understand their scientific workflows end-to-end, build hands-on with their engineering teams, and help take projects from early exploration to production systems integrated into how they do science day-to-day.
• Develop reusable ecosystem infrastructure, like MCP servers for domain-specific data sources (genomics platforms, literature databases, experimental repositories), instruments, scientifically-grounded benchmarks, and agent skills that other institutions can adopt without starting from scratch.
• Identify what's actually hard about deploying AI in life sciences (heterogeneous data, auditability requirements, the prototype-to-trust gap) and feed those findings back to product, engineering, and research.
• Create technical content and documentation that lets partners self-serve, so what works for one institution can scale globally without the same level of hand-holding.

You Might Be a Good Fit If You Have:

• 4+ years as a Software Engineer, Forward Deployed Engineer, or technical founder — with production experience shipping systems that real users depend on.
• Deep research experience in life sciences, biomedical research, or scientific computing. Bonus if you've studied genomics, neuroscience, or drug discovery specifically and are comfortable getting deeply technical with academics.
• Experience building LLM-powered tools or applications: prompting, context engineering, agent architectures, evaluation frameworks.
• Builder credibility from shipping production code as a software engineer, forward-deployed engineer, or technical founder.
• A scrappy mentality–comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission.

Logistics:

• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

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San Francisco; Seattle

Employment Type

Full time

Department

Applied AI

Compensation

• $230K – $385K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

The Support Automation team at OpenAI scales the organization by applying cutting-edge AI models to real-world challenges, automating and enhancing work across the organization. From customer operations to engineering, we develop an ecosystem of automation products that empower our colleagues and drive impact. We're passionate about crafting products that serve those around us, blending rapid prototyping with a focus on long-term quality and reliability. By creating reusable solutions, we create patterns that can be applied across diverse domains within OpenAI.

TLDR: this team leverages OpenAI technology to improve OpenAI, and you’ll have the opportunity to leverage the full extent of our tech (both public and pre-released) to accomplish this mission.

About the Role

We’re looking for a Backend Software Engineer with experience working in ML/LLM-heavy domains to help to design and build an evals infrastructure that measures the quality of OpenAI’s support automation. This is a deeply technical and highly cross-functional role where you’ll build robust systems and backend services that serve as the foundation for how knowledge is created, accessed, and applied across OpenAI. The role will especially focus on working closely with Data Science and Research partners to design and build evals at scale.

In this role, you will:

• Design eval pipelines that are reliable, reproducible, and extendable

• Build the infrastructure for continuous eval monitoring frameworks (regression/drift monitoring, building robust golden datasets) along with feedback loops that ultimately strengthen support automation

• Design, build, and maintain backend services and APIs to support intelligent automation and knowledge systems

• Integrate and structure data across internal platforms, transforming it into formats optimized for use by downstream systems and AI workflows.

• Collaborate closely with data, research, and engineering teams to integrate OpenAI models into high-leverage workflows

• Own the full development lifecycle of new backend systems and internal platform capabilities

• Build with scale and maintainability in mind, while rapidly iterating on new ideas

You might be a great fit if you have:

• 4+ years of backend engineering experience at product-driven companies (excluding internships)

• Proficiency in backend technologies. Our tech stack includes Python, FastAPI, and Postgres

• Experience designing and scaling distributed systems, APIs, or data processing pipelines

• Have experience building AI agents or applications, including designing evals and improving performance through prompting or scaffolding

• Are familiar with evaluation methods for LLMs and have worked with patterns like multi-agent workflows, tool use, or long context.

• Experience creating production evals and/or measuring performance of ML/LLM models at scale

• A pragmatic mindset. You’re comfortable shipping iteratively while building toward a long-term vision

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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Microsoft AI are looking for a talented Member of Technical Staff - Prompt Engineer at their Mountain View office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

As a Prompt Engineer, you'll craft the foundations that enable meaningful human-AI partnerships. You'll design and develop prompting techniques for emotional and intellectual use cases, establish frameworks for AI companions to navigate complex social and ethical situations with nuance and care, and create evaluations to measure both technical/practical performance and non-deterministic performance like EQ.

Accountabilities

• Design & develop prompting techniques for emotional and intellectual use cases
• Establish frameworks for AI companions to navigate complex social and ethical situations with nuance and care

The Candidate we're looking for

Experience:

• 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

Technical skills:

• Experience with large language models
• Familiarity with both quantitative metrics and qualitative assessment methods

Personal attributes:

• A wonderful writer who loves words, storytelling, or linguistics
• Effective written communication skills: able to convey complex information clearly, concisely, and effectively for various audiences

Benefits

• Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year
• Certain roles may be eligible for benefits and other compensation

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What you'll do

• Define, build, and refine mechanisms to secure AI systems (including self-hosted models, LLM APIs, agents, MCPs, and other core components of the AI stack) against adversarial behavior of all kinds
• Understand technically complex AI systems, identify potential weaknesses in their architecture, and implement improvements

What you need

• Hands-on coding and prompting experience
• Bachelor of Science or Master of Science in Computer Science or a related field, or equivalent experience

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What you'll do

This is a highly cross-functional, technical role where you’ll use your full-stack engineering skills to build systems that supercharge ElevenLabs. You’ll embed within a specific team, and work closely with sales, marketing, operations, and product leaders to understand pain points, decompose ambiguous problems, and ship elegant, pragmatic solutions at speed.

What you need

• Strong full-stack engineering skills: you’re comfortable moving across frontend, backend, and infrastructure as needed. Minimum requirements: Python, SQL.

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