You'll build the infrastructure that makes AI-native education real , not as a concept, but as a working system that people interact with every day. You'll own the technical vision for our AI-driven educational experience: the platform layer, enterprise readiness features, the data architecture, the AI-augmented pipelines, the integrations, and the delivery systems.

This is an engineering role for someone who genuinely cares about how people learn. You'll make platform decisions that are deeply educational, and you need the judgment to make those decisions well, not just implement someone else's spec. You'll interface closely with Anthropic's security, infrastructure, and data teams, and you'll partner with trainers and educators on the GTM, devrel, and education teams who will be your primary stakeholders.

The annual compensation range for this role is $300,000-$405,000 USD.

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

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

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

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

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

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

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

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

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

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Key responsibilities include:

• Shipping features that help users develop real skill with AI
• Architecting end-to-end prototypes that test new interaction paradigms
• Defining technical direction for the team
• Building relationships across Product, Design, and Research

As a successful candidate, you will have strong full-stack engineering skills, a design sensibility, and experience building and shipping web products. You will also have a deep conviction about human capability and a strong perspective on how technology should enhance human capabilities rather than diminish them.

We offer a competitive salary range of $300,000-$405,000 USD per year, depending on experience. We also offer a minimum education requirement of a Bachelor's degree or an equivalent combination of education, training, and/or experience, and a required field of study in a relevant field.

If you're passionate about AI and human capability, and you're looking for a challenging and rewarding role, please apply today!

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A core part of your role involves leading the operational team to deliver high performance, aligned with the company’s mission to foster a safe, productive, and inclusive workplace culture. This is a site-based role involving regular outdoor work in varying weather conditions, with rotational availability required for operational oversight outside of standard working hours.

Responsibilities

• Provide day-to-day operational oversight of the site, leading the foreman and plant operators to ensure efficiency, compliance, and achievement of operational targets.
• Ensure full compliance with Health & Safety legislation, company policies, risk assessments, SSOWs, SOPs, and the Site Traffic Management Plan.
• Monitor composting processes and key parameters using SCADA and other systems, ensuring compliance with ABP, PAS 100, and APHA requirements.
• Oversee equipment inspections, LOLER compliance, planned preventative maintenance, breakdown response, and accurate maintenance records.
• Manage contractors, visitors, and suppliers on site, including inductions, permits to work, procurement, and stock control within budget.
• Lead health, safety, and environmental performance, including inspections, audits, incident investigations, pest control, and continuous improvement initiatives.
• Lead, motivate, and manage the operational team, including rotas, training, performance management, inductions, and workforce planning.
• Maintain effective communication and reporting, acting as a key site contact for regulators and stakeholders, and supporting audits, inspections, and community engagement.

Requirements

• Demonstrable supervisory experience within waste management, composting, recycling, or a similar industrial environment.
• Proven experience producing and delivering risk assessments, permits to work, SOPs, and toolbox talks.
• Experience maintaining accurate operational records and extracting data from SCADA or similar automated control systems.
• Previous responsibility for ordering and managing consumables, PPE, lubricants, and spare parts.
• Strong working knowledge of health and safety legislation applicable to high-risk industrial or waste environments, with a focus on good housekeeping and site standards.
• Experience using and completing internal learning platforms or training modules.

Benefits

• Ongoing career development, training and coaching – Because if you don’t grow, we don’t grow.
• Car or allowance.
• Competitive salary.
• Generous pension scheme.
• Retail and leisure discounts.
• Holiday and travel discounts.
• Life cover.

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This role sits at the intersection of sales, engineering, and product—you'll need to be equally comfortable in customer meetings, building demo environments, and providing product feedback to engineering.

Responsibilities

• Lead technical discovery calls to understand the prospect's AI/ML architecture, use cases, and requirements.
• Develop expertise in OpenRouter’s products and solutions, and how they can be leveraged to solve business problems.
• Assess technical fit, including API integration, model requirements, data residency needs, and compliance requirements.
• Design and deliver customized product demonstrations showcasing OpenRouter's capabilities for prospects’ specific use cases.
• Create demos to showcase OpenRouter and manage proof-of-concept environments.
• Partner with AEs throughout the sales cycle from discovery through close. Respond to proposals and technical questions from customers. Present at customer meetings, QBRs, and executive briefings.
• Address technical objections and competitive positioning and support contract negotiations on technical terms, SLAs, and implementation timelines.
• Provide feedback to the Product and Engineering teams on feature requests, competitive gaps, and market requirements. Contribute to product roadmap prioritization based on customer needs.
• Stay current on AI/ML trends and competitive landscape.

Requirements

• 5+ years as Sales Engineer, Customer Engineer, Solutions Engineer, or Solutions Architect in B2B SaaS/API/Infrastructure platforms.
• Strong technical background with hands-on experience in software development, APIs, or cloud infrastructure.
• Excellent presentation skills with the ability to explain complex technical concepts to varied audiences. Strong problem-solving skills and ability to architect solutions under pressure.
• Customer-first mindset with genuine desire to help customers succeed.
• Experience in a sales engineering role related to AI/ML technologies, LLMs, or machine learning platforms is a plus.

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

About the role

We believe skill with AI is fundamental to human agency. Education Labs builds the paradigms that help people become genuinely more capable—not just more engaged.

This is a new kind of role: part researcher, part product builder, part interaction designer. You'll be the second technical builder on a small team studying how AI transforms human capability—and shipping features based on what we discover. You'll have significant creative license to define what 'good' looks like, exploring new interaction patterns rather than optimizing existing ones.

We're skeptical of tutorials, onboarding flows, and engagement metrics. We care about experiences that make users progressively more capable, curious, and empowered over time. This means integrating skill development into product design, using Claude itself as a capability-building partner, and measuring success by how users actually grow.

Responsibilities:

• Ship features that help users develop real skill with AI—measuring success by capability growth, not time-on-site

• Architect end-to-end prototypes (front-end and back-end) that test new interaction paradigms, with particular attention to the front-of-the-frontend: motion, polish, and interaction feel

• Define technical direction for the team—establish patterns others can follow

• Build relationships across Product, Design, and Research to influence how skill development principles shape Anthropic's broader product strategy

• Shape team strategy and roadmap—identify the highest-leverage opportunities and build conviction across stakeholders

• Translate research insights about skill development and human-AI collaboration into shipped product through close collaboration with researchers

• Document and share your work through clear writing, prototypes, and presentations that influence thinking across the organization

You may be a good fit if you have:

Strong full-stack engineering with design sensibility

• 6+ years building and shipping web products, with deep expertise across the stack

• Strong front-end craft: TypeScript/JavaScript, React, CSS—with an eye for interaction design, motion, and visual detail

• Solid back-end and data pipeline experience: Python, API design, analytics infrastructure

• A portfolio showcasing innovative interaction designs and high-quality implementations

• Track record of independently driving features from prototype to production

Deep conviction about human capability

• Strong perspective on how technology should enhance human capabilities rather than diminish them

• Experience or genuine passion for skill development, HCI, developer tools, or products that help people become more capable

• Skepticism of purely engagement-driven metrics; interest in measuring capability outcomes

Research mindset with product execution

• Comfort with ambiguity and exploring undefined problem spaces

• Ability to rapidly prototype, test with users, and iterate toward production

• Strong instincts for product design and user experience, even without formal design training

Strategic leadership and coalition building

• Experience setting vision, shaping team strategy, and building conviction across cross-functional stakeholders

• Ability to build productive relationships with Product, Design, Research, and Engineering teams—especially when your team isn't the owner

• Strong sense of prioritization—knowing what to build now, what to defer, and what to cut

• Track record of influencing roadmaps and decisions beyond your immediate team

Strong candidates may also have:

• Experience in developer tools, creative tools, learning platforms, or other products where user skill development and mastery matter more than time-on-site

• Background in learning sciences, cognitive science, HCI, skill acquisition research, or educational psychology (formal or self-directed)

• Experience with experimentation frameworks, A/B testing, or analytics that measure capability development in production

• Previous experience in research labs, frontier tech companies, or startups with high autonomy and ambiguity

• Published writing, talks, or open-source work on skill development, human-AI interaction, or product philosophy

• Experience building AI-native product experiences or working with LLMs in production contexts

Strong candidates may also have

• Background in learning sciences, cognitive science, HCI, or educational psychology

• Experience in developer tools, creative tools, or learning platforms where mastery matters more than engagement

• Published writing, talks, or open-source work on skill development or human-AI interaction

• Experience building AI-native product experiences or working with LLMs in production

What this role is not

This is a hands-on technical role building product features, embedded within a research team. You'll provide technical guidance and help set direction, but this role doesn't involve people management off the bat. If you're looking to immediately transition into engineering management or lead a large team, this likely isn't the right fit.

The annual compensation range for this role is not specified.

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GTM Onboarding Program Manager

Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Compensation

• $177K – $251K • 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 Enablement team translates OpenAI’s product innovation into real-world customer impact by equipping customer-facing teams with the knowledge, tools, and frameworks needed to succeed in their roles.

About the role

OpenAI is hiring a GTM Onboarding Program Manager to own the operational backbone of onboarding for our global go-to-market organization.

In 2026, OpenAI plans to onboard a large volume of customer-facing employees across sales, technical success, partnerships, and customer success. The onboarding program already exists — this role focuses on operating, scaling, and continuously improving the system that powers it.

You will manage onboarding operations end-to-end: coordinating cohorts, aligning stakeholders, evolving program structure, and ensuring new hires ramp quickly and confidently. You will also help modernize onboarding through AI-first workflows, data-driven iteration, and scalable systems that reduce operational burden while improving the learning experience.

This role is based in San Francisco and works closely with leaders across Sales, Technical Success, Product Enablement, Recruiting, and Revenue Operations.

In this role, you will:

• Run the operational cadence of GTM onboarding programs across multiple roles and hiring cohorts

• Translate hiring forecasts and business priorities into structured onboarding execution

• Manage onboarding logistics including scheduling, communications, certifications, and stakeholder coordination

• Partner with subject matter experts across Product, Sales, and Technical Success to keep onboarding current as products and messaging evolve

• Design scalable systems and processes that support high-volume onboarding while maintaining a high-quality experience

• Implement AI-forward approaches to onboarding operations and learner experience

• Establish and track onboarding success metrics including participation, readiness signals, and ramp indicators

• Continuously improve the program based on field feedback, business changes, and hiring scale

You'll thrive in this role if you:

• Enjoy turning complex programs into repeatable systems that scale

• Have experience operating GTM onboarding or enablement programs in fast-growing technology companies

• Are highly organized and comfortable managing multiple workstreams simultaneously

• Communicate clearly and build trust with stakeholders across different teams and levels

• Think in systems and processes rather than one-off solutions

• Bring curiosity and creativity to applying AI tools to improve workflows and learning experiences

• Are comfortable operating in environments where priorities, products, and hiring needs evolve quickly

Basic qualifications

• Experience owning or operating onboarding or enablement programs for customer-facing teams

• Strong program management and organizational skills

• Experience working cross-functionally with multiple stakeholders

• Ability to manage complex logistics and recurring program operations

• Willingness to work in-office in San Francisco

Preferred qualifications

• Experience supporting sales, technical success, or customer success organizations

• Experience scaling onboarding programs in high-growth environments

• Familiarity with learning platforms, enablement tooling, or onboarding systems

• Experience using AI tools to improve operational workflows or learning programs

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 and experiences of our team members.

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What you'll do

As a Principal GenAI Applications Engineer, you will be responsible for architecting Generative AI and Deep Learning applications tailored to internal corporate functions such as HR, Finance, Legal, and other departments.

• Architecting Generative AI and Deep Learning applications tailored to internal corporate functions such as HR, Finance, Legal, and other departments.
• Conducting experiments to evaluate model performance, identifying areas for improvement, and implementing optimizations to meet corporate function needs.

What you need

• Advanced degree in Science or Engineering with 8+ years of experience in diverse scientific and technological domains.
• 5+ years of experience applying machine learning and AI methods to corporate or business problems.
• Proficiency in Python and a solid background in data structures and algorithms.
• Experience with LLMs, GPT models, and other generative AI techniques.
• Strong problem-solving skills and the ability to work both independently and collaboratively.
• Excellent communication and presentation skills.
• Hands-on experience in data cleansing and modeling for deep learning models in at least one corporate domain (e.g., HR, Finance, Legal).
• Experience with cloud-based machine learning platforms such as AWS, GCP, or Azure.

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