What sets this role apart: we're looking for someone with a technical foundation and deep understanding of the post-sale motion. You've been in the room for complex customer implementations, usage reviews, and cross-sell negotiations. You understand what it takes for a revenue team to drive product adoption and identify and close expansion opportunities , because you've been that person.

This role sits within Sales Enablement and reports to the Sales Enablement Lead, North America. You will work in close partnership with:

• Customer Success leads, North America and International (owning customer expansion)

• Revenue leadership (owning commercial strategy)

• Product and Product Marketing (owning roadmap, messaging, and use case development)

You will support a global team of CSMs and AEs across North America, EMEA, LATAM, and APAC.

While expansion enablement is your primary focus, you'll also support GTM Enablement across SDR and new business motions as needs arise. This is a full-stack enablement role on a lean team , you'll build content, deliver training, design e-learning, and flex across audiences as the business requires.

Own the expansion enablement foundation

• Design and own ElevenLabs' global revenue team enablement strategy across onboarding, skill-building, and ongoing mastery

• Define what "Expansion Ready" and "Retention Ready" mean at ElevenLabs and build the paths to get CSMs and AEs there

• Establish scalable frameworks that support both the CSM and AE expansion motions

Build expansion enablement programs

• Create structured onboarding journeys for CSMs and AEs covering product mastery, customer lifecycle management, health scoring, and renewal execution

• Design and deliver adoption playbooks that help revenue teams drive usage, engagement, and value realization across customer segments

• Build churn prevention frameworks including early warning indicators, save plays, and escalation paths

• Enable revenue teams to conduct effective business reviews, usage analyses, and value documentation

• Develop technical fluency programs so CSMs and AEs can confidently discuss APIs, agent configurations, integrations, and implementation best practices

• Create cross-sell and upsell playbooks covering expansion discovery, multi-product positioning, and deal execution

• Design enablement for identifying expansion signals , usage patterns, new use cases, stakeholder mapping, and whitespace analysis

• Enable revenue teams to articulate the full ElevenLabs platform story (Creative, Agents, and API) to drive multi-product adoption

• Develop competitive positioning for expansion conversations

Drive adoption and reduce churn

• Partner with Revenue Leads to identify adoption gaps and build targeted enablement interventions

• Create customer-facing resources (guides, videos, best practices) that revenue teams can use to drive self-serve adoption

• Build "Time to Value" programs that help customers realize ROI faster

• Develop renewal execution playbooks covering timeline management, stakeholder alignment, and negotiation frameworks

Create enablement content

• Build and maintain enablement materials including playbooks, training decks, videos, workshops, and LMS content

• Collaborate with Product Marketing, Sales, and Product to translate product releases into expansion-ready materials

• Develop role-play scenarios, call libraries, and coaching frameworks for managers

Use ElevenLabs AI and AI-native tools in enablement

• Use ElevenLabs' voice and agent technology to create localized, voice-enabled training content and AI-powered practice environments for revenue teams

• Operate with an AI-native mindset , you default to AI tools to research, draft, synthesize, and build faster, and you can coach others to do the same

• Continuously evaluate and adopt emerging AI tools that improve enablement quality, speed, or scale

• Build AI-powered coaching tools and practice environments for CSMs and AEs

Deliver live and async training

• Facilitate live virtual trainings, workshops, and certifications across regions and time zones

• Design async learning paths that scale globally

• Run regular enablement office hours and deal/account clinics

Measure and improve enablement effectiveness

• Define and track enablement KPIs such as time to first value, net revenue retention, gross retention, expansion pipeline, ramp time, and adoption metrics

• Partner with Customer Success and revenue leadership to connect enablement efforts to business outcomes

• Use data and feedback to continuously iterate on programs

Shape the function

• Document best practices, establish operating rhythms, and influence how expansion enablement is delivered across the organization

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You will work in close partnership with RevOps, PMM, Company Ops, and the broader GTM Enablement team. Your secondary responsibility is the enablement systems layer: making sure content is properly created, structured, automatically updated, and easy to access.

Key responsibilities include:

• Building and deploying GTM Agents that solve specific seller problems
• Designing the orchestration layer that surfaces the right agent or asset at the right moment based on deal context
• Building AI-powered onboarding agents that adapt to role, region, and individual knowledge gaps
• Prototyping real-time sales assistance agents for co-selling and in-call coaching
• Maintaining, updating, and continuously improving deployed agents based on usage data and seller feedback

You will also be responsible for driving agentic enablement, leading enablement content and knowledge systems, measuring and improving, and coordinating cross-functional knowledge management.

Requirements include:

• Hands-on building experience: you've shipped agents, automations, or internal tools, not just managed them
• Code literacy: you can read, review, and debug code independently, not just prompt AI to generate it
• Experience building AI agents, conversational AI, or complex automations
• Technical fluency with APIs, integrations, and modern AI tooling (Claude, ElevenAgents, LangChain, etc.)
• Ability to build usable interfaces that non-technical users can adopt (Slack apps, web UIs, embedded workflows)
• Strong understanding of GTM workflows: sales cycles, deal stages, buyer journeys
• Systems thinking: you can design how multiple agents and data sources work together
• Experience working cross-functionally with marketing, operations, and sales teams
• Excellent communication skills: you can translate technical concepts for non-technical audiences
• Bias for action: you ship fast, iterate, and don't wait for permission

Nice to have:

• Experience at a high-growth AI/ML, developer tools, or API-first company
• Python or JavaScript proficiency
• Experience with LMS, CMS, or knowledge management platforms
• Familiarity with ElevenLabs products (Agents Platform, API, Creative Platform)
• Background building internal tools (Retool, Airtable, etc.)
• SQL proficiency for data analysis and automation

Location: Remote-first, globally distributed role. We have a strong preference for candidates based in Europe, the UK, or US East Coast, to enable close collaboration with the GTM Enablement Lead (Europe), RevOps, PMM, and London HQ. Exceptional candidates outside these regions will be considered if they can operate effectively across European and US time zones.

Why this role matters: The systems and agents you build will define how ElevenLabs scales its GTM engine. This role directly impacts seller productivity, ramp time, and ultimately revenue. You'll be building something that will have a significant impact on the company's success.

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This is a named-account role with a focused portfolio. You'll drive new business and expansion inside complex enterprise organizations, building multi-threaded executive relationships and positioning yourself as a trusted advisor to senior stakeholders navigating real transformation - across customer experience, product, and operations.

These aren't transactional engagements. You'll architect custom solutions that combine our technology and services, collaborate cross-functionally to deliver measurable outcomes, and bring field intelligence directly into our product roadmap. You're not just executing a playbook - you're writing it.

In this role, you will:

• Own and grow a focused portfolio of strategic accounts, driving both net-new business and expansion

• Develop and execute multi-year account strategies across business units, geographies, and use cases

• Identify, scope, and close large, complex deals (multi-product, multi-region, custom solutions)

• Build deep, multi-threaded relationships across executive, product, engineering, and business stakeholders

• Act as a strategic advisor, educating on emerging trends and shaping customers’ long-term AI roadmap

• Partner cross-functionally with Solutions Engineering, Customer Success, and Partnerships to deliver and expand

• Translate patterns from bespoke deals into repeatable frameworks, offerings, and product insights

• Feed learnings from the field into the product roadmap and broader strategic sales playbook

• Drive creative outbound and high-touch engagement strategies (onsites, exec briefings, events)

Requirements:

• 6-10+ years of quota-carrying experience with a focus on strategic / enterprise accounts

• Proven track record of closing and expanding seven-figure+ deals within named accounts

• Experience leading complex, multi-threaded sales cycles across large organizations

• Strong ability to drive land-and-expand motions and long-term account growth

• Experience scoping consultative, custom deals that go beyond standard SKUs

• Technical fluency - able to engage product and engineering leaders on APIs, integrations, and architecture

• Executive presence with the ability to influence C-suite stakeholders and long-term strategy

• Track record of translating customer needs into product feedback and roadmap influence

• Creative, self-driven approach to outbound and pipeline generation

• Comfortable operating in a high-growth, ambiguous environment, building playbooks from scratch

• Willingness to travel for customer engagements (onsites, QBRs, executive meetings)

• Strong bias toward action, ownership, and leveraging AI in day-to-day workflows

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This is a revenue-oriented partnerships role for a high-output operator who can translate alliance strategy into pipeline, partner-attached revenue, and repeatable execution. The right candidate knows how to earn mindshare with cloud field teams, navigate ambiguity, and build simple operating mechanisms that scale.

In this role, you will:

• Build trusted relationships with AWS Account Managers, Solutions Architects, Specialists, and regional segment leaders to create durable seller mindshare.
• Enable AWS field teams on positioning, use cases, qualification logic, and how to engage OpenAI effectively.
• Own the in-market operating relationship with AWS sellers across account mapping, joint planning, deal coordination, and escalation management.
• Identify, shape, and support qualified opportunities emerging from AWS accounts, in close partnership with OpenAI sales and technical teams.
• Drive strong co-sell hygiene across ACE, Marketplace, opportunity tracking, follow-up, and next-step discipline.
• Develop repeatable sales plays, enablement assets, and field communications that help AWS teams operate more independently over time.
• Aggregate structured feedback from AWS sellers and customers and translate it into clear recommendations for product, GTM, and operations teams.
• Help define the operating model, engagement thresholds, and regional strategy that make the AWS motion scalable as demand grows.
• Collaborate cross-functionally with Partner SAs, Cloud Specialist Sellers, Product, Engineering, Partner Marketing, Partner Ops, and GTM leadership to unblock deals and improve execution.
• Represent OpenAI with executive presence in customer, partner, and internal leadership conversations where commercial judgment and clarity matter.

We're seeking someone with experience including:

• 8+ years in partnerships, ecosystem sales, cloud alliances, business development, or related go-to-market roles within SaaS, cloud, or platform businesses.
• Meaningful experience working closely with AWS field teams and strong familiarity with AWS co-sell motions, including ACE, Marketplace, and partner-led sales engagement models.
• A proven track record of driving revenue through partnerships, not just managing partner relationships.
• Experience supporting complex enterprise opportunities with direct sales teams, including deal strategy, qualification, technical coordination, and stakeholder alignment.
• Comfort engaging CIOs, CTOs, and senior business leaders in strategic conversations and communicating technical value propositions clearly.
• Experience building sales plays, enablement content, operating cadences, and scalable field motions in high-growth environments.
• Strong technical fluency and cloud credibility, with enough depth to engage productively with architects and technical decision-makers.
• A demonstrated ability to operate with high ownership in ambiguous, fast-moving environments where the playbook is still being built.
• Excellent cross-functional influence, including the ability to align sales, product, engineering, operations, and leadership stakeholders without formal authority.

You might thrive in this role if you:

• Are a builder. You like creating structure where none exists and turning messy partnership motions into simple, repeatable systems.
• Have a sales mindset. You naturally orient toward pipeline, deal quality, seller activation, and measurable commercial outcomes.
• Are highly credible with partners and executives. You know how to earn trust quickly, communicate clearly, and handle escalations calmly.
• Operate with urgency and judgment. You can manage volume, prioritize ruthlessly, and know when a deal deserves deeper engagement.
• Enjoy technical learning. You do not need to be the product expert in the room, but you are comfortable learning quickly and translating technical concepts into business value.
• Are excited by AI and cloud platform shifts and motivated by the opportunity to help define how OpenAI scales through strategic ecosystems.

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This is not a management role, however you'll own delivery end-to-end: embedding with customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities.

Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures).

This is a high-trust, high-autonomy role. Success requires deep technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering problems at pace.

This role is based in Tokyo. We use a hybrid model of 3 days in office and offer relocation assistance. Travel up to 25-50% is required.

In this role, you will:

• Own the technical delivery plan for multiple interdependent workstreams. Translate business objectives into a roadmap with milestones, dependencies, and acceptance criteria.

• Run day-to-day engineering execution. Track and drive delivery across OpenAI FDE and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path.

• Embed with customer teams to land production deployments and drive adoption. Map workflows, shape tools/integrations, and translate requirements into a delivery plan. Lead onboarding, adoption, and change management.

• Partner with Product and Research so platform components and research workstreams land in time to support deployment goals.

• Codify solution patterns and evals. Extract reusable patterns and package field signals to improve product and models.

• Own value cases and ROI. Set impact hypotheses, baselines, and KPIs; run pre-/post-deployment measurement and report to exec sponsors.

You’ll thrive in this role if you:

• Bring 7+ years of customer-facing technical delivery leadership.

• Track record of successfully leading large, complex, high-stakes customer engagements where customer outcomes depended on tight coordination and fast decision making, ideally involving AI.

• Excel in high ambiguity environments. Know how to simplify complex and dynamic work.

• Move fluidly between system level understanding and execution level detail; can dive into customer workflows/data, map constraints, sketch architectures and move ambiguous problems to shipped systems.

• Think strategically and pattern-match. Able to step back from execution detail, recognise broader trends across deployments, and connect customer needs to scalable, reusable solutions.

• Have strong technical fluency and sharp sequencing instincts. Confident discussing technical details, pressure-testing architectures, and making trade-offs.

• Have shipped AI/LLM systems. You understand solution patterns, integration basics, and production pitfalls.

• You’re a translator with executive presence. You make complex technical trade-offs legible to business leaders and convert strategy into day-to-day technical execution.

• Enjoy being onsite with customers to accelerate delivery (often 25-50%, sometimes higher).

• Have expertise in at least one major sector (e.g., healthcare, energy, financial services, semiconductors, IT) to elevate solution framing and credibility.

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" + "- $203K – $225K • 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.

" + "## About the Team " + "The Environmental, Health & Safety (EHS) team partners across the company to enable safe, compliant, and scalable operations as our work, facilities, and technologies grow globally. We work closely with Engineering, Research & Development, Workplace, Operations, Security, IT, and external partners to design practical safety programs that support innovation while protecting people.

" + "## About the Role " + "OpenAI is seeking an EHS Manager, Engineering & Technical Operations to support expanding hardware engineering and research and development environments across emerging technology domains.

" + "This role will partner closely with engineering, research, and technical operations teams to assess and control exposure risks, strengthen safe work practices, and build scalable EHS programs that enable innovation while protecting people, facilities, and equipment. You will operate across multiple technical disciplines and translate complex hazards into practical controls that teams can apply in fast-moving environments.

" + "The role also provides EHS advisory input on product and equipment safety, helping engineering teams identify hazards early in development and integrate safety considerations into evolving technologies.

" + "## In this role, you will: " + "- Lead EHS programs supporting hardware engineering, research and development, and technical operations environments across multiple sites, with emphasis on industrial hygiene and product and equipment safety risks.

" + "- Conduct exposure and hazard assessments across chemical, physical, and operational risks and implement effective controls aligned with the hierarchy of controls.

" + "- Develop, maintain, and scale SOPs and safety standards for technical workflows, equipment use, materials handling, and high-risk operations.

" + "- Partner with engineering and technical teams to embed safety-by-design principles into equipment, workspaces, and evolving technical processes.

" + "- Provide EHS advisory support on product and equipment safety, helping identify hazards during development, testing, and deployment phases.

" + "- Strengthen compliance frameworks across OSHA/Cal-OSHA, NFPA, ANSI, and related safety standards, ensuring programs align with regulatory expectations.

" + "- Support regulatory readiness across sites, including preparing teams for inspections, coordinating responses to agency inquiries, and partnering with regulators when necessary.

" + "- Own or co-own programs such as hazard communication, chemical management, ventilation and engineering controls effectiveness, equipment safety, and contractor safety.

" + "- Lead incident and near-miss investigations, develop corrective and preventive actions, and analyze trends to drive continuous improvement.

" + "- Deliver targeted training, support onboarding and work authorization or permitting processes, and reinforce a strong on-the-floor safety culture.

" + "## You might thrive in this role if you: " + "- 8–10+ years of EHS experience supporting engineering, research and development, technical operations, or other complex technical environments.

" + "- Strong capability in industrial hygiene principles, including exposure assessment, monitoring approaches, and control selection.

" + "- Experience advising teams on product or equipment safety hazards, including mechanical, electrical, thermal, or chemical risks.

" + "- Technical fluency across multiple disciplines such as mechanical systems, electrical hazards, equipment safety, materials and chemical hazards, and facility controls.

" + "- Working knowledge of OSHA/Cal-OSHA, NFPA, ANSI, and related regulatory frameworks.

" + "- Experience supporting or interfacing with regulatory agencies or inspections and translating regulatory requirements into practical operational controls.

" + "- Demonstrated ability to influence cross-functional partners and embed safety considerations early in engineering and operational planning.

" + "- Strong field presence and operational judgment in dynamic, evolving technical environments.

" + "- Professional certifications such as CSP, ASP, CIH, CHMM, or equivalent are preferred.

" + "## 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.

" + "## Required Skills " + "• Industrial hygiene principles " + "• Exposure assessment " + "• Monitoring approaches " + "• Control selection " + "• Product or equipment safety hazards " + "• Mechanical, electrical, thermal, or chemical risks " + "• Technical fluency across multiple disciplines " + "• OSHA/Cal-OSHA, NFPA, ANSI, and related regulatory frameworks " + "• Regulatory agency interactions " + "• Operational controls " + "• Cross-functional partnerships " + "• Field presence and operational judgment " + "• Professional certifications such as CSP, ASP, CIH, CHMM, or equivalent

" + "## Preferred Skills " + "• Experience in hardware engineering and research and development environments " + "• Familiarity with emerging technology domains " + "• Strong analytical and problem-solving skills " + "• Excellent communication and interpersonal skills " + "• Ability to work in a fast-paced environment " + "• Experience with EHS software and systems " + "• Familiarity with regulatory requirements and industry standards

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This is not a management role, however you'll own delivery end-to-end: embedding with customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities.

Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures).

This is a high-trust, high-autonomy role. Success requires deep technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering problems at pace.

This role is based in London. We use a hybrid model of 3 days in office and offer relocation assistance. Travel up to 50% is required.

Key responsibilities include:

• Own the technical delivery plan for multiple interdependent workstreams. Translate business objectives into a roadmap with milestones, dependencies, and acceptance criteria.

• Run day-to-day engineering execution. Track and drive delivery across OpenAI FDE and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path.

• Embed with customer teams to land production deployments and drive adoption. Map workflows, shape tools/integrations, and translate requirements into a delivery plan. Lead onboarding, adoption, and change management.

• Partner with Product and Research so platform components and research workstreams land in time to support deployment goals.

• Codify solution patterns and evals. Extract reusable patterns and package field signals to improve product and models.

• Own value cases and ROI. Set impact hypotheses, baselines, and KPIs; run pre-/post-deployment measurement and report to exec sponsors.

You will thrive in this role if you:

• Bring 7+ years of customer-facing technical delivery leadership.

• Track record of successfully leading large, complex, high-stakes customer engagements where customer outcomes depended on tight coordination and fast decision making, ideally involving AI.

• Excel in high ambiguity environments. Know how to simplify complex and dynamic work.

• Move fluidly between system level understanding and execution level detail; can dive into customer workflows/data, map constraints, sketch architectures and move ambiguous problems to shipped systems.

• Think strategically and pattern-match. Able to step back from execution detail, recognise broader trends across deployments, and connect customer needs to scalable, reusable solutions.

• Have strong technical fluency and sharp sequencing instincts. Confident discussing technical details, pressure-testing architectures, and making trade-offs.

• Have shipped AI/LLM systems. You understand solution patterns, integration basics, and production pitfalls.

• You’re a translator with executive presence. You make complex technical trade-offs legible to business leaders and convert strategy into day-to-day technical execution.

• Enjoy being onsite with customers to accelerate delivery (often 25-50%, sometimes higher).

• Have expertise in at least one major sector (e.g., healthcare, energy, financial services, semiconductors, IT) to elevate solution framing and credibility.

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This isn't a dial-and-smile BDR seat. You'll combine technical fluency with relentless outbound execution to open doors that only someone who speaks the buyer's language can open.

Salary Range: $120,000–$220,000/year OTE (Range shown is for U.S.-based employees in San Francisco, CA. Compensation outside the U.S. is adjusted fairly based on your country's cost of living.)

Equity Range: Up to 0.10%

Job Type: Full-Time or Contract

Experience: 3+ years or equivalent shipped systems

Visa: N/A (Remote)

About Firecrawl

Firecrawl is the easiest way to extract data from the web. Developers use us to reliably convert URLs into LLM-ready markdown or structured data with a single API call.

What You'll Do

• Own outbound pipeline: Research and target engineering teams, AI startups, and data-heavy orgs that need web extraction at scale. Build sequences that land because they're technically relevant, not generic.

• Speak their language: Engage prospects on their terms , reference their stack, understand their scraping pain, and articulate how Firecrawl's API solves problems they've been duct-taping around.

• Qualify with depth: Run discovery calls that go beyond BANT. Understand the technical use case, map the decision-making process, and hand off deals to AEs with context that accelerates close.

• Run live technical intros: Demo the product on first calls when it makes sense. You don't need to be a solutions architect, but you should be able to show a prospect how a simple API call turns a URL into clean data.

• Feed product intelligence: Surface patterns from the field , what prospects are building, what's blocking adoption, what competitors are doing , and relay it to Product and Engineering.

• Iterate relentlessly: Test messaging, channels, sequences, and personas. Treat outbound like a product: measure, learn, ship improvements.

What We're Looking For

Engineer-first, BDR-second. We can teach you sales. We can't fast-track deep technical intuition. The ideal candidate has a technical background , maybe you've shipped code, built side projects, contributed to open source, or studied CS/engineering , and you're drawn to the commercial side of technology.

Technically fluent. You can read code, use APIs, talk about web scraping, and understand what LLM-ready data means. You've built things , even if they're small.

Urgency is your default setting. You don't wait for permission, process, or perfect information. You move. You follow up. You close the loop same-day.

Bias for action over analysis. You'd rather send 10 imperfect outbounds and learn than spend a week crafting the perfect email. Speed compounds.

Thrives in complexity and ambiguity. You don't need a playbook to get started. You can navigate a messy prospect landscape and figure out who to talk to, what to say, and when to say it.

Curious and relentless. You dig into a prospect's GitHub, read their blog, understand their stack. You earn the right to their time.

Clear communicator. You write crisp emails and run tight calls. You know when to go technical and when to zoom out.

_Backgrounds that often do well: Engineers who want to move into a commercial role. CS students who've done hackathons and side projects. Technical founders who've done their own outbound. Developer advocates looking for a more direct revenue path._

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As a Product Manager, you will be responsible for a significant product area or help lead an important project. You will deeply understand the customer problems you're tackling through research, data, and direct customer interactions , then frame those problems clearly for your team.

Your responsibilities will include:

• Managing the roadmap; defining what should be built, when and why - and communicating it to generate alignment and excitement.
• Collaborating with engineers and designers to imagine, build, and ship solutions, from bold future visions to small, focused iterations.
• Leveraging AI to increase your own efficiency, accelerate product development, and multiply your team's impact.
• Evaluating impact through quantitative and qualitative measures, both in beta and after full release.
• Owning and maintaining the quality of your product area, ensuring every release delivers world-class software.
• Collaborating with peers across the business to ensure we deliver products with clear GTM strategy and execution.

In this role, you will also be expected to:

• Be a leader in your team or projects by role-modeling our company values and R&D principles.
• Develop and maintain a deep understanding of our customers' needs and pain points.
• Work closely with cross-functional teams to develop and implement product strategies.
• Analyze data and customer feedback to inform product decisions.
• Communicate effectively with stakeholders at all levels of the organization.

We're looking for someone who is passionate about delivering exceptional customer experiences and has a strong track record of success in product management. If you're a motivated and collaborative individual who is excited about the opportunity to join our team, please apply!

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Staff Product Manager, Enterprise (Industries)

About the Role

We're hiring a Product Manager to own Stripe's product strategy and execution across our priority industry verticals, starting with complex, regulated industries like insurance, healthcare and public sector.

Responsibilities

• Own the Industry Product Roadmap: Define and execute the multi-year product strategy for your priority vertical.
• Ship 0→1 Products: Identify unmet needs through deep customer research, data analysis, and market intelligence.
• Be a Strategic Partner to GTM and Customers: Work deeply with our largest customers, partners, and GTM teams.
• Act as a Force Multiplier Across Stripe's Platform: Influence Stripe's core product teams to ensure their roadmaps reflect the requirements of enterprise customers in your vertical.

Requirements

• 12+ years of Product Management experience, with a track record of shipping successful products in complex, regulated environments.
• Technical fluency: You don't need to write code, but you should be comfortable reading an API spec, reasoning about system design trade-offs, and holding your own in engineering discussions.
• Deep customer obsession: A talent for getting close to customers - talking to merchants and partners - and distilling complex pain points into simple, elegant product requirements.
• Analytical rigor: You use data - not just intuition - to prioritize.
• A Master Communicator: Stripe is a writing-heavy culture. You must be able to articulate deep technical and strategic concepts through precise, persuasive prose.
• High Agency & Influence: Adept at finding 'homes' for initiatives, building consensus across disparate teams, and driving momentum without needing formal authority.
• Entrepreneurial mindset and bias for action: Comfortable with ambiguity, skilled at prioritizing high-impact initiatives, and experienced operating with limited resources to unlock outsized outcomes.

Preferred Qualifications

• Direct experience building products in Healthtech, Insurtech, Public Sector or similarly complex, regulated industries.
• Experience building platform, API, or developer-facing products.
• Experience working closely with Enterprise Sales teams and C-suite stakeholders at Fortune 500 companies.

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You will tackle novel legal questions at the intersection of developer tooling, enterprise readiness, and cloud-partner distribution, and help establish the terms, policies, and frameworks that let developers build safely on Claude.

Responsibilities:

Partner with Platform PM, API Engineering, Cloud Partnerships, and Commercial Legal to provide pragmatic legal guidance across the API, developer ecosystem, and cloud-distribution product lifecycle

Develop and maintain expertise in legal frameworks relevant to developer platforms and cloud distribution, including data-processing and privacy obligations, tech-transactions and licensing, API terms of service, and emerging AI-specific legislation

Draft and negotiate developer-facing terms (API ToS, acceptable-use policies, developer agreements), cloud-partner distribution terms, and enterprise order-form exhibits, collaborating with Commercial Legal on co-sell mechanics

Advise on API product features, tiered-access programs (TAP/ZDR), KYC/IDV requirements, and Cowork enterprise-readiness initiatives, balancing velocity with legal and contractual compliance

Support incident response and escalations related to API misuse, developer policy violations, and cloud-partner compliance issues

Requirements:

A JD from an accredited law school and active membership in at least one U.S. state bar

At least 8 years of relevant legal experience, with meaningful experience in API/platform, cloud-marketplace, or tech-transactions work, either in-house at a technology company or at a law firm with a strong technology practice

Working knowledge of legal frameworks relevant to developer platforms and B2B AI products, such as data-processing agreements, API/developer terms, cloud-distribution licensing, and emerging AI governance frameworks

Strong technical fluency across cloud computing, APIs, and software development, with ability to quickly grasp AI/ML infrastructure concepts

Experience thriving in fast-paced environments, with comfort navigating ambiguity and pivoting quickly as priorities shift

A proactive 'doer' mindset with ability to identify problems, propose solutions, and execute with minimal supervision

Used AI tools to scale your legal practice or a strong interest in learning to do so

Exceptional communication skills to translate complex legal concepts for non-lawyer audiences

Empathy and strong service orientation, with the ability to listen actively and help achieve organizational goals

Preferred Qualifications:

In-house platform or API counsel experience at a cloud/SaaS company

Experience structuring developer terms, marketplace licensing, or enterprise data-processing agreements

Experience with cloud-marketplace distribution (e.g., AWS Marketplace / Bedrock, GCP / Vertex, Azure) or developer-platform go-to-market, including order-form mechanics and co-sell structures

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As the operational backbone of the Marketplace team, you'll work across business development, sales, product, and engineering to keep the marketplace running smoothly. You'll use your on-the-ground operational experience to work closely with product and engineering to inform how we build marketplace for growth and long-term scale.

This role blends program operations, program management, and product management. You'll be expected to seamlessly interface between cross-functional teams to set up and enable marketplace transactions, and partner with those same teams to help the program scale through repeatable mechanisms and operations.

You'll work with partners and customers throughout the deal lifecycle, and work across Sales, GTM, and Product teams to surface customer feedback into ongoing product builds to ensure all participants are set up for success. You'll also own the operational workflows that keep the program on track , managing the onboarding pipeline, deal health, tracking deliverables, and building the processes and tooling the team needs to scale.

Responsibilities:

• Own the marketplace transaction. You will run point across cross-functional teams including BD, Legal, Accounting, Finance, Product, and Engineering for each marketplace deal and develop the right processes help drive more transaction volume over time

• Roll up your sleeves to fill operational gaps as the program scales , whether that means managing data in spreadsheets, triaging partner or customer requests, or standing up lightweight processes before permanent tooling is in place

• Own and continuously improve the operational processes that support the Marketplace program , including partner and customer onboarding, billing, reporting, and cross-functional coordination.

• Wear your product hat. Translate what you're seeing on the ground into product and policy requirements that inform the Marketplace roadmap.Work closely with BD, Product, Engineering, Legal, and Finance to drive Marketplace workstreams forward and with an eye towards automation and scale.

• Design and build the operational scaffolding for the program. Monitor and report on program health and throughput to Marketplace leadership

You may be a good fit if you have:

• 4-7 years of experience in partner management, program management, account management, or a related commercial operations role at a technology company

• A track record of managing multiple external relationships simultaneously while keeping internal stakeholders aligned and informed

• Experience running programs across organizational boundaries where you had no direct authority over most of the people whose work you depended on, and delivered anyway

• Strong organizational skills and a demonstrated ability to build and improve processes in fast-moving, ambiguous environments

• Experience working closely with sales or GTM teams, with a feel for how partnerships translate into customer value and commercial outcomes

• Clear, concise communication skills , both written and verbal , and comfort engaging with senior stakeholders

• A collaborative, low-ego working style and willingness to take on whatever the team needs, from strategic analysis to day-to-day coordination

• Comfort with ambiguity and shifting priorities in a high-growth environment where you'll often need to exercise judgment with incomplete information

• Comfort being the person who notices when something is broken before it shows up in a number, and the judgment to know how to triage versus design for the future

Strong candidates may also have:

• Experience in the enterprise SaaS or developer platform ecosystem, particularly in roles involving technology partnerships or integrations

• Familiarity with AI/ML products and how enterprises are adopting AI into their technology stacks

• A background in consulting, business operations, or strategy roles that involved both analytical work and cross-functional coordination

• Experience at a high-growth technology company during a period of rapid scaling, particularly in a role that required building new programs or processes from the ground up

• Experience operating a two-sided marketplace, app store, or platform partner program with a transaction or revenue-share component

• Enough technical fluency to be a credible partner to product and engineering on integration and data-flow questions

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Key responsibilities include: Managing customer relationships from the executive to the end user Working alongside customers to scope agentic workflow use cases that Scale's engineering team will build and refine Leading a cross-functional project team to deliver on and exceed the customer's AI/ML objectives Overseeing onboarding and successful implementation of customer accounts

Must haves: Active TS/SCI clearance 5+ years of work experience succeeding in stakeholder management or a customer-facing role delivering enterprise-scale applications/solutions A track record of structured, analytics-driven problem solving Excellent verbal and written communication skills Willingness to be onsite with the customer in the Colorado Springs area 4 days per week and able to travel at least 25% of the time

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

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About the Role:

We're hiring the first leader of our Partner Success team, which will pick the best consulting and systems integration firms to partner with and make them great. You will build Partner Success at Anthropic from scratch, hiring your first partner success managers, defining how they run their portfolios, and personally carrying a portfolio of partners yourself as your reference implementation.

Responsibilities:

• Build and lead the Partner Success team from scratch.
• Decide which partners get the team's attention.
• Design the team's engagement model.
• Run the joint planning and business review cadence with each managed partner.
• Drive scalable enablement across the managed partner book.
• Drive adoption, retention, and expansion in the joint customer book.
• Drive industry specialization across the managed partner book.
• Steward co-investment funding decisions.
• Interlock with Anthropic's direct sales field and with the alliances organization that owns the executive relationship with each strategic partner.

Requirements:

• Six to ten years of experience working with consulting and systems integration partners at a software company, cloud platform, or partner-led business, with at least two of those years managing a team.
• Built or scaled a partner-facing team from scratch before.
• Deep understanding of how partner success works in a usage-based business.
• Strong commercial instincts on partner selection and co-investment funding.
• Experience running scalable partner or practitioner enablement.
• Enough technical fluency to be credible in an architecture review.

Annual compensation range for this role is $300,000-$355,000 USD.

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Mixpanel turns data clarity into innovation. Trusted by more than 29,000 companies, including Workday, Pinterest, LG, and Rakuten Viber, Mixpanel’s AI-first digital analytics help teams accelerate adoption, improve retention, and ship with confidence.

As Mixpanel scales into the enterprise, the platform that underpins how customers manage, secure, and control their Mixpanel environment becomes increasingly strategic. This isn’t a role about a single feature or workflow , it’s about the foundational systems that determine whether a 500-person company trusts us with their data and their organisational complexity.

Responsibilities

Own the Enterprise Platform Roadmap

Define and drive the roadmap for Mixpanel’s enterprise management surface , RBAC, SSO/passkeys, auth services, audit logs, admin controls, bulk user management, and settings UX

Develop a principled view of what the platform must guarantee (security, compliance, reliability) vs. what can be iterative , and sequence investments accordingly

Anticipate requirements from enterprise customers, internal security reviews, and compliance obligations; design ahead of the ask rather than reacting to it

Build business cases for platform investments, making the indirect ROI of security and compliance work legible to leadership

Establish operating cadence and governance across the two engineering tracks: align dependencies, create clear owners, and ensure predictable delivery

Lead with Curiosity and Disciplined Discovery

Approach every platform problem with structured curiosity: frame clear hypotheses, test assumptions with lightweight experiments, and evaluate second-order effects before committing

Stay directly connected to enterprise customers and security-facing stakeholders (Sales, CS, Legal) to understand how platform limitations show up in real deals and renewals

Synthesise signal from security reviews, compliance inquiries, support tickets, and customer interviews into clear, prioritised product proposals

Drive Cross-Team Platform Integrity

Own the consistency and reliability of shared authentication, permissions, and admin patterns across Mixpanel’s product portfolio , ensure every product team builds on a stable, well-governed foundation

Partner with engineering leads to define clear APIs, auth contracts, and permission interfaces that prevent hidden dependencies and enable safe evolution

Define and maintain measurement standards for platform health: uptime, auth failure rates, admin task completion, enterprise onboarding velocity

Work closely with application security to ensure platform features meet enterprise security standards and pass external audits

We’re Looking For

Experience

5+ years of PM experience owning meaningful problems end-to-end; direct experience with identity, access management, enterprise administration, or security-adjacent product work strongly preferred

Track record of driving alignment and delivering outcomes across engineering, security, and GTM functions without formal authority

Experience building business cases for security, compliance, or infrastructure investments where ROI is indirect or realised over long time horizons

Familiarity with enterprise sales and the role platform features (SSO, RBAC, audit logs) play in closing and renewing enterprise accounts

Skills

Systems thinker: you understand how platform-layer decisions ripple across products, user journeys, and engineering teams, and you reason about second-order effects before committing to a direction

Technical fluency: credible with engineers on identity, auth, and security infrastructure tradeoffs; can partner on architecture-level product decisions without needing to be an engineer

Curious by default: you ask better questions before proposing solutions, challenge assumptions respectfully, and design lightweight experiments to validate direction

Customer-obsessed even on infrastructure: you stay connected to how platform quality shows up for end users and enterprise admins, not just internal teams

Clear, direct communicator: you can write a crisp one-pager, align senior stakeholders on a difficult tradeoff, and make security/compliance topics accessible to non-technical audiences

AI-native: you use AI tools actively in your day-to-day product work , research, synthesis, discovery , and can point to specific ways they’ve changed how you operate

Bonus Points

Deep familiarity with SSO protocols (SAML, OIDC), passkeys/WebAuthn, or RBAC design patterns

Experience navigating SOC 2, GDPR, or enterprise security review processes as a PM

Hands-on Mixpanel user who understands the product from the inside

Experience at a company navigating single-product to multiproduct platform complexity

Experience writing production-grade software or working directly with auth/identity APIs

Compensation

The amount listed below is the total target cash compensation (TTCC) and includes base compensation and variable compensation in the form of either a company bonus or commissions. Variable compensation type is determined by your role and level. In addition to the cash compensation provided, this position is also eligible for equity consideration and other benefits including medical, vision, and dental insurance coverage.

Our salary ranges are determined by role and level and are benchmarked to the SF Bay Area Technology data cut released by Radford, a global compensation database. The range displayed represents the minimum and maximum TTCC for new hire salaries for the position across all of our US locations. To stay on top of market conditions, we refresh our salary ranges twice a year so these ranges may change in the future. Within the range, individual pay is determined by experience, job-related skills, qualifications, and other factors. If you have questions about the specific range, your recruiter can share this information.

Mixpanel Compensation Range $218,500-$250,000 USD

Benefits and Perks

Comprehensive Medical, Vision, and Dental Care

Mental Wellness Benefit

Generous Vacation Policy

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As part of our Merchant team, you'll work across Engineering, Data Science, Product Marketing, and Design to deliver industry-leading AI and ML solutions, including the use of LLMs, to identify and surface relevant, high-quality merchants across all segments.

This will help Pinners discover new brands, increasing their confidence and consideration for shopping, while helping our merchants build new, diverse audiences.

You'll ship impactful models and experiences which direct high-traffic Pinterest surfaces, including both organic and paid, playing a key role in Pinterest's top strategic theme for the years ahead.

Responsibilities:

• Define, design, and launch thoughtful AI/ML-powered experiences that help users discover, curate, and shop ideas tailored to their unique taste.

• Partner cross-functionally with Engineering, Design, and Data Science to craft seamless and delightful experiences at the intersection of user experience, ML, and AI.

• Set product vision, influence strategy, write requirements, develop hypotheses, and establish success metrics for critical personalization initiatives.

• Identify and prioritize new opportunities to advance the relevance, impact, and sophistication of personalization across Pinterest's Curation portfolio.

• Autonomously navigate and resolve complex, ambiguous product challenges,and influence product strategy across multiple teams.

Requirements:

• Track record in AI/ML products: Experience building and launching personalized experiences, ideally at scale, for e-commerce platforms.

• Technical fluency: Strong understanding of AI/ML product development; usage of LLMs for scale, ability to credibly partner with engineers and data scientists across the stack.

• Strong product discovery skills: You're comfortable talking to business customers, mapping workflows, validating problems, and translating insights into clear product strategies and roadmaps.

• Sharp communication: Comfortable presenting to executives and cross-functional audiences; excels at simplifying complex technical and product concepts to drive clear decisions.

• Comfort with ambiguity and a bias for action: You can bring clarity to ambiguous problem spaces and move quickly while keeping stakeholders informed.

• Strategic and customer-centric: Deep empathy for user needs, with an ability to turn rich data and insights into new opportunities and delightful features.

• Ecosystem Understanding: Strong experience in B2B2C or “dual-customer” operating models to deliver delightful experiences for multiple stakeholders.

• Collaborative influencer: Ability to build trusted relationships with a variety of internal partners (including Advanced Technology, Product Marketing, Sales, Trust & Safety, Monetization, and more) and align them to shared goals.

• Ownership mindset: Skilled at defining what success looks like, rallying teams, and guiding projects from ideation to successful launch.

• Bachelor’s degree in a relevant field such as Computer Science, or equivalent experience.

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This is a high-ownership role for a technical, customer-obsessed PM who thrives in fast-moving, ambiguous environments and loves turning complex AI capabilities into simple, delightful product experiences.

Key responsibilities include leading a major part of our AI product surface, deeply understanding customers, the business, and the technology, working side-by-side with a world-class AI team, shipping ambitious, high-quality AI product, collaborating across the company, and leading through clarity, ownership, and momentum.

Requirements include strong AI and technical fluency, excellent product judgment, sharp problem framing and customer insight, ability to build world-class product, and strong communication and leadership.

Why you'll love it here:

• You'll work with an experienced AI team that has been shipping AI long before it was mainstream.
• You'll have real autonomy, real impact, and real responsibility.
• You'll help build the next generation of customer service through the power of AI.
• You'll help shape the future of AI PM craft at Intercom.

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At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff , payroll, health insurance, 401(k)s, and HR , so owners can focus on their craft and their customers.

With teams in Denver, San Francisco, and New York, we support more than 400,000 small businesses nationwide and are building a workplace that reflects the people we serve.

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.

By the Numbers:

• Named #1 best software for small business of 2024 by G2
• 2,700+ employees in the United States, Canada, Mexico, and Turkiye and growing
• Over $500M in annual revenue

What Product Management is like at Gusto

We’re looking for high-autonomy, entrepreneurial Product Managers to build high-impact solutions for small businesses and their employees. We believe in high-ownership Product Managers who operate like business owners , owning an entire roadmap end to end and shipping product all the way from strategy through to the nitty-gritty details (some describe this kind of role as a “GM” type role).

Our Product team is lean, which means you’ll have a high degree of impact and ownership. We believe in smaller, empowered teams that move quickly with less overhead. You’ll move fast by pairing sharp product judgment with fluency in AI tools , automating what slows teams down and amplifying what makes them creative and high-performing.

We’re boundaryless builders. Lines between roles are intentionally blurred, and our PMs do whatever it takes to deliver outcomes. You’ll prototype, automate, design, and ship , using AI as your co-builder to turn problems into durable solutions that deliver customer value with urgency and care.

About the Team

We have a clear vision for how AI-powered tools will transform HR for small businesses, and we're looking for a Senior Product Manager to make it real: sharpen priorities, own outcomes, and partner deeply with engineering and design to ship products that matter.

HR Labs powers our HR Partners service offering, Gusto's fastest-growing business line and where many of our boldest AI bets are happening. Our goal is to deliver real human expertise at scale through AI-native tools and agentic workflows.

A team of HR professionals delivers expert, personalized guidance to our small business customers, and the platform you build is what makes that possible. You'll own both the customer-facing and internal tools: partner workspaces, agentic workflows, AI-assisted document generation, and the bridge to future customer self-service.

Here’s what you’ll do day-to-day:

• Own product strategy and roadmap for the HR Partners platform,refining and extending the existing vision, making hard prioritization calls, and ensuring we’re building the right things for partners and, over time, for customers.

• Work side by side with engineering and design: clarify problems, frame opportunities, and shape solutions together rather than handing over finished specs. You’ll be a true partner, not a ticket-writer.

• Drive discovery and validation with HR partners and other stakeholders,synthesize feedback, identify patterns, and turn insights into clear requirements and success criteria.

• Define and track outcomes (usage, quality, efficiency, business impact) and use data to inform what we build next.

• Operate in ambiguity: our roadmap is evolving, the AI landscape is moving fast, and the “right” product isn’t always obvious. You’ll help the team navigate that uncertainty with structure and judgment.

• Think creatively about AI-native experiences, beyond chatbots and forms. The bar here is high: outputs need to be accurate (HR has real compliance stakes), tailored to each customer's situation, and genuinely useful rather than generic.

Here’s what we're looking for:

• 5+ years of product management experience, ideally with additional experience in roles that involve platform or two-sided products (internal tools + customer-facing experiences).

• Productized service (tools for expert practitioners or productizing manual workflows into software).

• AI product experience: You've shipped or significantly shaped products that use AI as a core part of the experience (e.g., assistants, copilots, agents, intelligent workflows).

• 0-to-1 building with bias for action: You've defined product direction in ambiguous, greenfield environments and made something real when there was no existing roadmap.

• Technical fluency: You can have real conversations with engineers about AI systems, architecture, and feasibility.

• Strong product craft: You’ve shipped products that users love and that moved the needle.

• Out-of-the-box thinking: You’re comfortable questioning assumptions, proposing new approaches, and helping the team see around corners.

If you don't think you meet all of the criteria above but still are interested in the job, please apply. Nobody checks every box, and we're looking for someone excited to join the team.

Our cash compensation amount for this role is $184,000/yr to $230,000/yr for New York. Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above.

Where do PMs at Gusto work? We have offices in Denver, San Francisco, and New York and have remote team members across the US and Canada. We are actively hiring for the New York office. Our open roles will specify on the careers page and in the job description where the position is eligible for work.

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As a Customer Success Manager at Anthropic, you'll be the strategic partner and trusted advisor to our most complex customers across Japan helping them harness the full potential of all our Claude capabilities - API, Claude for Enterprise, and Claude Code.

You'll develop genuine partnerships with customers, gaining a deep understanding of their business objectives, strategic direction, AI vision, and technical needs.

In partnership with the broader account team you will help customers identify the right Claude capabilities for their specific business objectives, working closely with them to provide best practices and guidance while supporting them as their usage (consumption & seat based) grows and evolves.

Your role focuses on helping customers scale their usage effectively, implement change management strategies, optimize use cases, and maximize the value of their investment through expanded use cases across their organization.

The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies , making you a key voice in shaping how we build and deliver ongoing value as a business.

As the founding CSM in Japan, you'll be a pioneer - helping to build regional processes, establishing new customer relationships, and representing Anthropic's brand in a high-growth market.

You'll operate with significant autonomy while maintaining strong alignment with global teams, requiring someone who thrives in ambiguous environments and can work effectively across time zones.

Responsibilities:

• Build trusting, strategic relationships with key Japanese and other APAJ customer decision makers to understand their business and objectives, identifying opportunities for optimization and expansion

• Become an expert in Anthropic's products across API, Claude for Enterprise, and Claude Code, understanding the technical nuances and best practices for each to guide customers to the right solutions

• Leverage your deep knowledge of the customer and regional nuances to proactively drive usage planning, understanding current and future consumption/ adoption and how it creates realized value for the customer

• Monitor usage patterns and identify optimization opportunities, proactively addressing underutilization across both our consumption-based and seat-based products to drive full value from contracted commitments

• Serve as the customer’s thought partner, enhancing their knowledge of Claude products by socializing Anthropic’s product roadmap, driving awareness on new products and engaging Product PMs as the voice of Japanese and APAJ customers

• Document and quantify customer value realized through business outcomes, ROI, and impact metrics to build compelling internal business cases for continued and expanded investment

• Identify potential use cases and lines of business not currently onboarded, partnering with customers to discover new applications for Claude across different departments, teams, and workflows

• Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement

• Own the customer experience across their lifecycle , managing comprehensive account and success plans grounded in the customer's business objectives, conducting Quarterly Business Reviews, and serving as the primary conduit between the customer and Anthropic

• Build Anthropic's brand and customer relationships as the first in-region CS presence, developing where needed, Japan-specific processes, playbooks, and best practices that account for regional business cultures

You may be a good fit if you have:

• 6+ years of experience in customer-facing roles (Customer Success, Consulting, Solutions Architect, Solutions/ Functional Consultant, Success Engineer or similar)

• Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each

• Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns

• Experience explaining and demonstrating technical products to various audiences

• Strategic mindset to identify growth opportunities and translate them into actionable expansion plans

• Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs

• Strong project management skills and ability to manage multiple customer relationships

• Passion for AI and interest in responsible development of advanced systems

• Experience working in and building a growing region, while navigating across time zones with US-based headquarters

• A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality

You are a true team player

Fluency in English and Japanese

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Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly.

Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.

Product at Brex

The Product team is at the forefront of Brex's mission to empower employees anywhere to make better financial decisions. With a deep understanding of the business, Product identifies, scopes out, and helps build the most impactful opportunities for Brex to tackle.

We are responsible for aligning cross-functional teams , such as Engineering, Legal, Compliance, and Design , on key decisions. We set strategy and drive products from inception to launch, enabling Brex to grow rapidly and help our customers reach their full potential.

What you’ll do

As a Group Product Manager, you'll own a product area that sits at the center of Brex's highest-priority bets, setting the multi-quarter vision, making hard prioritization calls, and ensuring your team delivers outcomes that move company-level metrics, not just ship features.

This means operating across several modes. Leading strategy, identifying where AI and automation can meaningfully change the customer experience rather than just adding novelty. You’ll be building teams and leading PMs who think clearly, operate independently, and raise their own bar over time.

And you'll be a cross-functional operator, driving alignment with Engineering, Design, Data, Risk, Legal, and GTM leaders on initiatives that don't fit neatly into one team's roadmap.

We expect you to use AI tools aggressively in your own work: for discovery, analysis, prototyping, and decision-making. You’ll also bring that same mindset to how your team builds products.

The role is as much about scaling judgment and raising standards as it is about shipping.

Where you’ll work

This role will be based in either our San Francisco, Seattle, Vancouver, or New York City office. You must be willing to work in the office at least 3 days per week on Monday, Wednesday and Thursday.

Employees will be able to work remotely for up to 4 weeks per year, for a minimum of one week at a time.

Responsibilities

• Define and own the multi-quarter vision and strategy for a core product area aligned to Brex’s highest company priorities.

• Identify and prioritize the highest-leverage opportunities that drive durable customer and business impact.

• Manage and develop a team of Product Managers, providing coaching, feedback, and career development.

• Foster a culture of ownership, accountability, and continuous improvement.

• Partner closely with Engineering, Design, Data, Risk, Legal, Compliance, Finance, and GTM leaders to deliver complex, cross-functional initiatives.

• Experience incorporating AI/ML capabilities (e.g., LLMs, automation systems, predictive models) into customer-facing or internal products, with a strong understanding of where AI meaningfully improves user experience, efficiency, or decision quality.

• Demonstrated ability to leverage AI tools to accelerate product discovery, analysis, experimentation, and execution (e.g., rapid prototyping, customer insight synthesis, requirement drafting, data exploration).

• Establish strong planning, prioritization, and execution frameworks across your portfolio.

• Define success metrics tied to company-level outcomes and ensure your team delivers measurable results.

Requirements

• 7+ years in product management, with direct experience managing and developing PMs.

• Have owned and scaled complex product areas in B2B, SaaS, or fintech, including driving measurable business outcomes across a multi-team portfolio.

• Can set strategy across multiple product surfaces and translate it into roadmaps your team actually executes against.

• Technically fluent enough to engage in architecture and systems tradeoffs with Engineering, not just defer to them.

• Data-driven by default: you define the metrics, design the experiments, and use the results to make calls.

• Comfortable operating in ambiguity, making prioritization tradeoffs with incomplete information, and bringing senior stakeholders along.

• Clear, concise communicator , written and verbal , who can distill complex product problems into narratives that land with executives and cross-functional partners alike.

Compensation

The expected salary range for this role is $280,000 - $350,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity.

Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

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At Coinbase, our mission is to increase economic freedom in the world.

We’re seeking a very specific candidate who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system.

As an Engineering Manager, you will lead the Identity Accounts team , the platform foundation that powers every user, organization, and account at Coinbase.

This is one of the most visible and business-critical engineering platforms at the company: your team’s services handle authentication, authorization, security settings, and account management for millions of customers across every Coinbase product.

You will manage engineers across three sub-teams (Foundations, Users Platformization, and Settings & Account Management), drive roadmap execution in close partnership with your Tech Lead and Product Manager, and represent the team to 20+ internal product groups and key partners in Security, Risk, Compliance, and Design.

If you thrive at the intersection of deep technical problems and cross-functional leadership, this role is for you.

Key Responsibilities:

• Lead and grow a team of engineers across backend, frontend, and site reliability , building a high-performing team through hiring, coaching, and career development.

• Drive roadmap execution across three focused sub-teams: Foundations (authorization infrastructure), Users Platformization (decomposing the legacy monolith), and Settings & Account Management (Security Settings 2.0, account navigation redesign).

• Own reliability and operational excellence for 8+ mission-critical Tier-0/Tier-1 services , maintaining 99.99% uptime, championing engineering quality, and acting as quarterback during high-severity incidents.

• Represent the team to internal product groups and key partners in Security, Risk, Compliance, and Design , building alignment and ensuring seamless integration support.

• Partner with Product and your Tech Lead to define strategic roadmaps, prioritize initiatives, and translate complex constraints into simple, scalable platform solutions.

• Champion engineering excellence , drive code and design reviews, set engineering standards, and build every capability to be composable and reusable across product lines (no bespoke, one-off integrations).

• Accelerate internal customers by reducing new product team onboarding time to under 2 weeks and delivering excellent APIs, clear documentation, and strong integration support.

Requirements:

• 7+ years of experience in software engineering, with at least 2 years of engineering management experience leading teams of 5+ engineers.

• Proven track record shipping large-scale distributed systems serving millions of users in production.

• Technical fluency in coding, system design, API architecture, and reliability tradeoffs , able to be hands-on when needed (writing/reviewing code, leading incidents, triaging bugs).

• Strong communicator who writes clearly, builds organizational alignment, and can represent the team effectively to senior leadership and cross-functional partners.

• Experience building and scaling high-performing engineering teams through hiring, developing, and promoting talent.

• Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.

Nice to haves:

• Experience in identity, authentication, authorization, or account management systems.

• Prior experience leading a Platform team or similar domain with high internal customer dependency.

• Familiarity with our stack: Go, gRPC, React, SpiceDB, Kubernetes, PostgreSQL, Kafka, Datadog.

• Background building financial, high-reliability, or security systems.

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You will tackle novel legal questions at the intersection of developer tooling, enterprise readiness, and cloud-partner distribution, and help establish the terms, policies, and frameworks that let developers build safely on Claude.

Responsibilities:

Partner with Platform PM, API Engineering, Cloud Partnerships, and Commercial Legal to provide pragmatic legal guidance across the API, developer ecosystem, and cloud-distribution product lifecycle

Draft and negotiate developer-facing terms (API ToS, acceptable-use policies, developer agreements), cloud-partner distribution terms, and enterprise order-form exhibits, collaborating with Commercial Legal on co-sell mechanics

Advise on API product features, tiered-access programs (TAP/ZDR), KYC/IDV requirements, and Cowork enterprise-readiness initiatives, balancing velocity with legal and contractual compliance

Support incident response and escalations related to API misuse, developer policy violations, and cloud-partner compliance issues

You may be a good fit if you have:

A JD from an accredited law school and active membership in at least one U.S. state bar

At least 8 years of relevant legal experience, with meaningful experience in API/platform, cloud-marketplace, or tech-transactions work, either in-house at a technology company or at a law firm with a strong technology practice

Working knowledge of legal frameworks relevant to developer platforms and B2B AI products, such as data-processing agreements, API/developer terms, cloud-distribution licensing, and emerging AI governance frameworks

Strong technical fluency across cloud computing, APIs, and software development, with ability to quickly grasp AI/ML infrastructure concepts

Experience thriving in fast-paced environments, with comfort navigating ambiguity and pivoting quickly as priorities shift

A proactive 'doer' mindset with ability to identify problems, propose solutions, and execute with minimal supervision

Used AI tools to scale your legal practice or a strong interest in learning to do so

Exceptional communication skills to translate complex legal concepts for non-lawyer audiences

Empathy and strong service orientation, with the ability to listen actively and help achieve organisational goals

Strong candidates may have:

In-house platform or API counsel experience at a cloud/SaaS company

Experience structuring developer terms, marketplace licensing, or enterprise data-processing agreements

Experience with cloud-marketplace distribution (e.g., AWS Marketplace / Bedrock, GCP / Vertex, Azure) or developer-platform go-to-market, including order-form mechanics and co-sell structures

Application Deadline: 4pm PT on May 4, 2026. Applications will be reviewed after the deadline, and our hiring team plans to begin contacting potential candidates shortly after. We encourage all interested and qualified applicants to submit their materials before this date to ensure full consideration.

Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco or New York office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time.

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role's On Target Earnings ('OTE') range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:

$265,000-$320,000 USD

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As a Customer Success Manager at Anthropic, you'll be the strategic partner and trusted advisor to our most complex customers across EMEA helping them harness the full potential of all our Claude capabilities - API, Claude for Enterprise, and Claude Code.

You'll develop genuine partnerships with customers, gaining a deep understanding of their business objectives, strategic direction, AI vision, and technical needs.

In partnership with the broader account team you will help customers identify the right Claude capabilities for their specific business objectives, working closely with them to provide best practices and guidance while supporting them as their usage (consumption & seat based) grows and evolves.

Your role focuses on helping customers scale their usage effectively, implement change management strategies, optimize use cases, and maximize the value of their investment through expanded use cases across their organization.

The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies , making you a key voice in shaping how we build and deliver ongoing value as a business.

As one of our early CSMs in EMEA, you'll be a pioneer - helping to build regional processes, establishing new customer relationships, and representing Anthropic's brand in a high-growth market.

You'll operate with significant autonomy while maintaining strong alignment with global teams, requiring someone who thrives in ambiguous environments and can work effectively across time zones.

Responsibilities:

• Build trusting, strategic relationships with key EMEA customer decision makers to understand their business and objectives, identifying opportunities for optimization and expansion
• Become an expert in Anthropic's products across API, Claude for Enterprise, and Claude Code, understanding the technical nuances and best practices for each to guide customers to the right solutions
• Leverage your deep knowledge of the customer and regional nuances to proactively drive usage planning, understanding current and future consumption/ adoption and how it creates realized value for the customer
• Monitor usage patterns and identify optimization opportunities, proactively addressing underutilization across both consumption-based (API) and seat-based (Claude for Enterprise / Claude Code) products to drive full value from contracted commitments
• Serve as the customer’s thought partner, enhancing their knowledge of Claude products by socializing Anthropic’s product roadmap, driving awareness on new products and engaging Product PMs as the voice of EMEA customers
• Document and quantify customer value realized through business outcomes, ROI, and impact metrics to build compelling internal business cases for continued and expanded investment
• Identify potential use cases and lines of business not currently onboarded, partnering with customers to discover new applications for Claude across different departments, teams, and workflows
• Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement
• Own the customer experience across their lifecycle , managing comprehensive account and success plans grounded in the customer's business objectives, conducting Quarterly Business Reviews, and serving as the primary conduit between the customer and Anthropic
• Build Anthropic's brand and customer relationships as a member of the first in-region CS team, developing EMEA-specific processes, playbooks, and best practices where needed that account for regional business cultures

Requirements:

• 6+ years of experience in customer-facing roles (Customer Success, Consulting, Solutions Architect, Solutions/ Functional Consultant, Success Engineer or similar)
• Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each
• Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns
• Experience explaining and demonstrating technical products to various audiences
• Strategic mindset to identify growth opportunities and translate them into actionable expansion plans
• Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs
• Strong project management skills and ability to manage multiple customer relationships
• Passion for AI and interest in responsible development of advanced systems
• Experience working in and building a growing region, while navigating across time zones with US-based headquarters
• A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality

Bonus:

• Fluency in French, German, Spanish or Italian

Logistics:

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

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In this role, you won't just manage a product, you'll own and shape core features of our platform and partner on our overall product strategy. As our first dedicated product hire, you'll partner closely with the CEO, sales, data science, and engineering to define what we build and why.

Your responsibilities will include:

• Translating vision into a defensible product roadmap by synthesizing customer insights, market signals, and business goals
• Acting as a strategic partner to the CEO and leadership team, shaping market positioning, competitive differentiation, and long-term platform bets
• Partnering with sales and customers to extract signal from wins, losses, and conversations, and turn it into product direction
• Driving alignment across engineering, sales, and leadership on priorities, trade-offs, and sequencing
• Setting design and UX standards as Spade moves from API-only to a full platform
• Establishing success metrics that hold the product accountable to outcomes, not outputs, using research, usage data, and market analysis to inform decisions
• Building the product function at Spade , processes, frameworks, and standards that scale as the team grows

To succeed in this role, you'll need:

• 5-9+ years of product management experience at a high-growth B2B startup
• Based in NYC
• Proven track record of building or launching products end-to-end, from early ideation through delivery and iteration
• Background in fintech or payments , you understand the key players, regulatory landscape, and nuances of building financial products
• Strong technical fluency , you can partner effectively with engineers, understand API-first products, and make informed trade-off decisions
• Exceptional communicator , you can make complex ideas feel simple for both technical and non-technical audiences
• Comfortable being the first and building a playbook
• Interest in leveraging AI to accelerate execution

Nice to have:

• Experience with transaction or payments data
• Familiarity with developer-facing or API-first products
• Prior experience working directly with a founder or CEO on product strategy
• Experience at a Seed – Series C fintech or financial infrastructure company
• Prior experience as the first or only Product hire at a company

Why join Spade?

• Be a cultural founder , As an early employee, you’ll play a meaningful role in defining and building our culture.
• Get in on the ground floor , We’re a small but well-funded team , joining now comes with limited risk and unlimited upside.
• Build the next generation of financial infrastructure , Our products will power the next wave of innovation in fintech, helping our customers deliver better, more transparent products and services to the consumer.

Benefits include:

• Competitive compensation and equity package
• Full medical, dental, and vision benefits for US-based employees
• Life & short-term disability insurance
• Unlimited PTO
• Early exercise program
• Extended post-termination exercise period
• 401K for retirement planning
• Hybrid team, with pet-friendly headquarters in NYC
• Paid parental leave
• Work from home stipend

Diversity & Inclusion at Spade:

Spade is an equal opportunity employer, committed to building a culture that is diverse, equitable, and inclusive. We believe that having people with different backgrounds, experiences, abilities, and perspectives not only helps us build the best products for our customers, but also helps us be the best version of ourselves.

Salary Range:

At Spade, we view total compensation as consisting of salary + equity + benefits. We recruit motivated and high-performing talent, and work to compensate people in line with the value they bring to our team. We aim to pay fairly and competitively, and consider a number of factors in developing compensation offers. These factors include years and breadth of experience, interview performance, market dynamics, and internal equity. The anticipated base salary range for this role is between $180,000 and $275,000 (depending on level), and an equity grant.

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This role is about finding the right balance between high-velocity innovation and the rigorous expectations of our partner banks and regulators. By moving toward data-driven, continuous monitoring, you will ensure our growth is anchored in integrity. You’ll drive a culture of audit readiness where excellence is the baseline and regulatory exams result in no surprises.

Some of the things you will do:

• Own the Audit Vision , evolve the risk-based internal audit strategy and ensure alignment with the company’s growth, regulatory expectations, and emerging risks.
• Provide Independent Assurance , deliver objective evaluations to the Board and Audit Committee(s) on the effectiveness of our risk management, internal controls, and governance.
• Ensure we Audit the Stack , own the audit universe; ensuring completeness of Audit coverage across Mercury. Oversee the audit program to ensure the plan includes the appropriate mix of technical and operational audits that dive deep into our business, automated movement of funds, and cloud infrastructure to ensure data integrity and security.
• Validate the "Magic" , ensure our audit program includes timely validation that new and existing product workflows and financial controls are operating exactly as intended, identifying potential friction before it impacts the customer.
• Bridge the Regulatory Gap , act as a key point of contact for our partner banks and regulators, providing them with the confidence that Mercury’s internal oversight is rigorous and proactive.
• Automate Oversight , design and implement continuous monitoring systems that replace manual checklists with real-time, data-driven audit insights.
• Champion SustainableRemediation , serve as the senior escalation point to partner with Engineering, Product, and Risk leads to ensure audit findings result in structural improvements, not just temporary fixes and that remediations are appropriately prioritized within the roadmaps, in line with risk.

There are lots of paths that could lead you to be successful in a role like this; we think the strongest candidates will have some of these experiences or attributes:

• Bring proven leadership in audit , you’ve built or scaled internal audit functions within high-growth banking or financial services, ideally at the intersection of traditional finance and fintech innovation.
• Have technical fluency , you are comfortable in a cloud-native, remote-first environment. You can discuss API integrity and automated controls as easily as you can discuss balance sheets and reconciliations.
• Navigate the regulatory landscape with confidence , you know what regulators expect, you’re comfortable engaging directly with them, and you can help Mercury anticipate and adapt to a changing environment.
• Maintain strong and effective independence , you have the fortitude to deliver difficult news and the diplomacy to ensure those insights lead to positive change.
• Communicate clearly and simply , whether you’re talking to the Board, regulators, engineers, or product teams, you cut through jargon and make risk concepts understandable and actionable.
• Balance protection with possibility , you know how to safeguard the company without slowing it down, and you see the audit function as a way to unlock and safeguard innovation, not stop it.
• Lead with curiosity and vision , you’re ambitious about where audit can go in a modern fintech, and you bring the curiosity to explore new ideas, new markets, and new ways of serving customers safely.
• Inspire and develop others , you build strong teams, mentor future leaders, and foster a culture of accountability, transparency, and trust across the company.

The total rewards package at Mercury includes base salary, equity, and benefits.

Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.

Our target new hire base salary ranges for this role are the following:

• US employees in New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $275,400 - $361,400
• US employees outside of the New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $247,900 - $325,250

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As a Mid-Market Account Executive on Anthropic's High Tech team, you'll drive the adoption of safe, frontier AI by securing strategic deals with tech-forward mid-market companies, unlocking new value streams throughout their business. The role sits at the intersection of consultative selling and technical fluency, helping customers empower their workforce, accelerate processes, and build products with Claude. In collaboration with GTM, Product, Engineering, and cross-functional teams, you'll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the ecosystem.

Responsibilities:

• Run an end-to-end sales cycle, from first outbound to launch
• Win new business and expand existing accounts
• Build and execute sales strategies that drive quota attainment. Identify market opportunities, generate pipeline, and drive revenue
• Become a trusted advisor to customers, understanding their unique needs and crafting tailored AI solutions
• Leverage your technical aptitude to earn credibility with engineers, product leaders, and executives
• Shape product roadmaps by gathering customer feedback and translating market needs into actionable insights for Product and Engineering teams
• Contribute to the Mid-Market GTM strategy by sharing learnings, refining playbooks, and identifying process improvements that make the team more effective

You may be a good fit if you have:

• 4+ years of enterprise sales experience driving adoption of emerging technologies with a consultative, solutions-oriented sales approach
• Proven experience exceeding revenue targets in fast-paced organizations by effectively managing an evolving pipeline and sales process
• Demonstrated ability to navigate dynamic stakeholder ecosystems, building consensus and providing innovative solutions to disparate groups
• Extensive experience negotiating highly complex, customized commercial agreements with multiple stakeholders
• Excellent communication skills with the ability to build trust and credibility with C-level executives
• Experience automating workflows or building automations to handle the repeatable components of a sales process
• A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely

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.

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.

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Product Marketing Manager, Codex

Location

San Francisco

Employment Type

Full time

Department

Marketing

Compensation

$284K – $315K • 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 B2B Marketing team contributes to OpenAI’s broader mission of ensuring responsible and widespread adoption of artificial intelligence. We are responsible for developing and executing strategies that drive awareness, engagement, and usage for OpenAI’s products and platform. We take a data-driven approach to understand our customers' needs and challenges, ensuring that their voices are reflected in product development and messaging. We then partner closely with Product, Engineering, Growth, Sales, Research, Comms, and Design teams to create a cohesive customer experience across all our channels.

About the Role

We’re looking for a highly technical Product Marketing Manager to help drive adoption and growth of Codex. This role requires deep familiarity with developer tools, coding workflows, and modern AI-assisted development environments.

Codex is becoming an essential AI collaborator for developers—helping them write, understand, and ship code faster across real production workflows. You will help translate technical innovation into clear value for developers, shape how Codex is positioned in a rapidly evolving AI coding landscape, and drive programs that expand adoption and usage across the developer ecosystem.

This is a highly cross-functional role that blends traditional product marketing responsibilities with developer ecosystem fluency and growth thinking. You will work closely with Product, Developer Experience, Sales, and Growth teams to launch new capabilities, enable go-to-market teams, and ensure Codex continues to resonate with developers building software.

The ideal candidate combines strong product marketing fundamentals with deep technical fluency and a strong intuition for how developers discover, evaluate, and adopt new tools.

Responsibilities

• Lead product launches for Codex and its underlying models: Build launch strategies that clearly communicate product-market fit for developers. Develop messaging and positioning, shape announcement moments, write launch blogs and technical content, and coordinate cross-functional teams through launch planning and execution.

• Develop compelling messaging and competitive positioning: Define how Codex is differentiated in the rapidly evolving AI coding ecosystem across tools like Claude Code, Cursor, and other developer platforms.

• Drive developer adoption and product growth: Partner with Growth and Design teams to design campaigns that increase awareness, acquisition, and ongoing usage of Codex across the developer ecosystem.

• Create developer-focused content and narratives: Produce high-quality content including blogs, technical explainers, launch posts, demos, landing pages, and social content in collaboration with Developer Experience and Engineering teams.

• Enable Sales and GTM teams: Develop technical narratives, sales materials, and enablement assets that help Sales and Solutions Engineering position Codex within real developer workflows and communicate its value to both technical and executive stakeholders—from startups to enterprises.

• Develop a deep understanding of developer workflows: Regularly engage with developers and engineering leaders through research, customer conversations, Gong calls, and market analysis to understand how developers discover, evaluate, and use coding tools.

• Bring developer insights back to Product and Engineering: Act as a voice of the developer by translating market signals and user feedback into product insights that help shape roadmap decisions and product strategy.

• Measure launch and campaign impact: Track adoption, usage, and developer engagement metrics post-launch to continuously refine positioning, campaigns, and product messaging.

Requirements

• Has 14+ years of experience in technical product marketing

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Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Compensation

• $162K – $230K • Offers Equity

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

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

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

• 401(k) retirement plan with employer match

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

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

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

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

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

• Relocation support for eligible employees

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

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

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

About the Team

OpenAI’s AI Deployment Manager team partners with the world’s most ambitious organizations to help them turn cutting-edge AI capabilities into everyday impact. We specialize in technical enablement and adoption, guiding customers through how to effectively use OpenAI’s products across teams, workflows, and stages of maturity.

Our work spans structured workshops, technical enablement, and adoption programs that help customers move from initial exposure to confident, scalable use. We work closely with Sales, AI Success Engineers, Solutions Engineering, and Product to ensure customers are not only enabled, but set up for long-term success as OpenAI’s platform evolves.

Our customers range from fast-growing digital natives to the largest global enterprises, government agencies, and educational institutions. Every engagement is an opportunity to ensure that AI benefits the way people work, build, and innovate. This role sits at the center of that mission.

About the Role

The AI Deployment Manager role is a specialist post-sales enablement role focused on delivering high-impact enablement and adoption services across OpenAI’s product suite. This role is responsible for designing and delivering technical enablement experiences that support a repeatable adoption framework– driving sustained activation, expanding breadth and depth of usage, and measurable business value across OpenAI’s product suite, including ChatGPT Enterprise, Codex, Agents, and the API. This includes helping customers understand and correctly apply the deployment harnesses, evaluation layers, and operational controls required for reliable use.

This role blends deep technical fluency, instructional design, and customer advisory. You will lead live trainings, workshops, and adoption interventions for audiences ranging from hands-on builders to executive leaders, helping customers understand not just what OpenAI’s products can do, but how to use them effectively in real-world contexts.

Success in this role means accelerating customer confidence, increasing product adoption, supporting successful launches of new product capabilities, and helping customers translate technical features into tangible outcomes.

This role is based in our San Francisco HQ. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Own the technical enablement of OpenAI products, including ChatGPT Enterprise, Codex, Agents, and API capabilities, helping define effective enablement patterns that support adoption across customer segments.

• Lead customer training and enablement across the full customer lifecycle, from initial onboarding through expansion, optimization, and long-term adoption.

• Design and deliver high-impact training engagements, including onboarding sessions, advanced capability trainings, executive briefings, hackathons, and hands-on workshops for audiences ranging from senior leaders to working teams.

• Drive customer activation, sustained usage, and measurable business value through structured enablement and deployment programs designed for durable adoption at scale.

• Partner closely with Sales, AI Success Engineers, Solutions Engineering, and Product teams to ensure seamless handoff from pre- to post-sale and consistent customer experience.

• Develop and refine reusable training assets, playbooks, and best practices based on patterns observed across customers and regions.

• Gather customer feedback from training and enablement engagements, synthesize themes across accounts, and relay insights to internal stakeholders to inform product and program improvements.

You’ll thrive in this role if you:

• Have 4+ years of experience in customer-facing or instructional roles, engaging C-level and senior technical audiences in complex enterprise environments.

• Possess a deep understanding of AI and machine learning concepts, as well as experience with OpenAI’s products or similar technologies.

• Are an exceptional communicator and trainer, able to distill complex technical concepts into clear, actionable guidance for diverse audiences.

• Are a strategic thinker, able to develop and execute plans that drive business outcomes and customer success.

• Are a collaborative team player, able to work effectively with cross-functional teams to achieve shared goals.

• Are a lifelong learner, committed to staying up-to-date with the latest developments in AI and machine learning.

• Are passionate about customer success and committed to delivering exceptional results.

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Location

New York City

Employment Type

Full time

Location Type

Hybrid

Department

Compensation

• $162K – $230K • Offers Equity

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

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

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

• 401(k) retirement plan with employer match

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

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

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

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

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

• Relocation support for eligible employees

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

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

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

About the Team

OpenAI’s AI Deployment Manager team partners with the world’s most ambitious organizations to help them turn cutting-edge AI capabilities into everyday impact. We specialize in technical enablement and adoption, guiding customers through how to effectively use OpenAI’s products across teams, workflows, and stages of maturity.

Our work spans structured workshops, technical enablement, and adoption programs that help customers move from initial exposure to confident, scalable use. We work closely with Sales, AI Success Engineers, Solutions Engineering, and Product to ensure customers are not only enabled, but set up for long-term success as OpenAI’s platform evolves.

Our customers range from fast-growing digital natives to the largest global enterprises, government agencies, and educational institutions. Every engagement is an opportunity to ensure that AI benefits the way people work, build, and innovate. This role sits at the centre of that mission.

About the Role

The AI Deployment Manager role is a specialist post-sales enablement role focused on delivering high-impact enablement and adoption services across OpenAI’s product suite. This role is responsible for designing and delivering technical enablement experiences that support a repeatable adoption framework– driving sustained activation, expanding breadth and depth of usage, and measurable business value across OpenAI’s product suite, including ChatGPT Enterprise, Codex, Agents, and the API. This includes helping customers understand and correctly apply the deployment harnesses, evaluation layers, and operational controls required for reliable use.

This role blends deep technical fluency, instructional design, and customer advisory. You will lead live trainings, workshops, and adoption interventions for audiences ranging from hands-on builders to executive leaders, helping customers understand not just what OpenAI’s products can do, but how to use them effectively in real-world contexts.

Success in this role means accelerating customer confidence, increasing product adoption, supporting successful launches of new product capabilities, and helping customers translate technical features into tangible outcomes.

This role is based in NYC office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Own the technical enablement of OpenAI products, including ChatGPT Enterprise, Codex, Agents, and API capabilities, helping define effective enablement patterns that support adoption across customer segments.

• Lead customer training and enablement across the full customer lifecycle, from initial onboarding through expansion, optimization, and long-term adoption.

• Design and deliver high-impact training engagements, including onboarding sessions, advanced capability trainings, executive briefings, hackathons, and hands-on workshops for audiences ranging from senior leaders to working teams.

• Drive customer activation, sustained usage, and measurable business value through structured enablement and deployment programs designed for durable adoption at scale.

• Partner closely with Sales, AI Success Engineers, Solutions Engineering, and Product teams to ensure seamless handoff from pre- to post-sale and consistent customer experience.

• Develop and refine reusable training assets, playbooks, and best practices based on patterns observed across customers and regions.

• Gather customer feedback from training and enablement engagements, synthesize themes across accounts, and relay insights to internal stakeholders to inform product and program improvements.

You’ll thrive in this role if you:

• Have 4+ years of experience in customer-facing or instructional roles, engaging C-level and senior technical audiences in complex enterprise environments.

• Possess

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Location

Remote - US

Employment Type

Full time

Location Type

Remote

Department

Compensation

• Zone A$145.8K – $207K • Offers Equity
• Zone B$129.6K – $184K • Offers Equity

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

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
• 401(k) retirement plan with employer match
• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
• Mental health and wellness support
• Employer-paid basic life and disability coverage
• Annual learning and development stipend to fuel your professional growth
• Daily meals in our offices, and meal delivery credits as eligible
• Relocation support for eligible employees
• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

OpenAI’s AI Deployment Manager team partners with the world’s most ambitious organizations to help them turn cutting-edge AI capabilities into everyday impact. We specialize in technical enablement and adoption, guiding customers through how to effectively use OpenAI’s products across teams, workflows, and stages of maturity.

About the Role

The AI Deployment Manager role is a specialist post-sales enablement role focused on delivering high-impact enablement and adoption services across OpenAI’s product suite. This role is responsible for designing and delivering technical enablement experiences that support a repeatable adoption framework– driving sustained activation, expanding breadth and depth of usage, and measurable business value across OpenAI’s product suite, including ChatGPT Enterprise, Codex, Agents, and the API. This includes helping customers understand and correctly apply the deployment harnesses, evaluation layers, and operational controls required for reliable use.

This role blends deep technical fluency, instructional design, and customer advisory. You will lead live trainings, workshops, and adoption interventions for audiences ranging from hands-on builders to executive leaders, helping customers understand not just what OpenAI’s products can do, but how to use them effectively in real-world contexts.

Success in this role means accelerating customer confidence, increasing product adoption, supporting successful launches of new product capabilities, and helping customers translate technical features into tangible outcomes.

In this role, you will:

• Own the technical enablement of OpenAI products, including ChatGPT Enterprise, Codex, Agents, and API capabilities, helping define effective enablement patterns that support adoption across customer segments.
• Lead customer training and enablement across the full customer lifecycle, from initial onboarding through expansion, optimization, and long-term adoption.
• Design and deliver high-impact training engagements, including onboarding sessions, advanced capability trainings, executive briefings, hackathons, and hands-on workshops for audiences ranging from senior leaders to working teams.
• Drive customer activation, sustained usage, and measurable business value through structured enablement and deployment programs designed for durable adoption at scale.
• Partner closely with Sales, AI Success Engineers, Solutions Engineering, and Product teams to ensure seamless handoff from pre- to post-sale and consistent customer experience.
• Develop and refine reusable training assets, playbooks, and best practices based on patterns observed across customers and regions.
• Gather customer feedback from training and enablement engagements, synthesize themes across accounts, and relay insights to internal stakeholders to inform product and program improvements.

You’ll thrive in this role if you:

• Have 4+ years of experience in customer-facing or instructional roles, engaging C-level and senior technical audiences in complex enterprise environments.
• Possess exceptional presentation and communication skills,

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Research Communications Manager

Location

San Francisco

Employment Type

Full time

Department

Communications

Compensation

$185K – $205K • Offers Equity

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

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

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

• 401(k) retirement plan with employer match

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

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

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

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

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

• Relocation support for eligible employees

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

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

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

About the Team

OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity.

Our Communications team’s ethos is to support OpenAI's mission and goals by clearly and authentically explaining our technology, values, and approach to safely building powerful AI.

About the Role

OpenAI is seeking an experienced communications professional to join our Platform & Research Communications team. This role will work closely with the Research Communications Lead and in partnership with applied and engineering teams to shape how OpenAI’s scientific work is understood by researchers, journalists, policymakers, and the broader public.

This position is responsible for developing and executing external communications strategies around OpenAI’s research—from foundational model advances to applied science collaborations—ensuring accuracy, nuance, and alignment with OpenAI’s long-term goals. The ideal candidate brings strong science or technical fluency, excellent storytelling instincts, and experience navigating complex, high-stakes narratives.

You will partner closely with research leadership, individual researchers, policy, product, and cross-functional communications teams. This role requires both strategic judgment and hands-on execution in a fast-moving environment where research, product, and public discourse intersect.

This role is based in San Francisco, CA and follows a hybrid schedule (three days per week in office). Relocation assistance is available.

In this role you will:

Shape Research Narratives

• Develop clear, credible external narratives around OpenAI’s research roadmap, breakthroughs, and long-term scientific direction.

• Translate complex technical work into accessible stories without oversimplifying or overstating impact.

• Help define and reinforce OpenAI’s POV on key research topics (e.g., reasoning, alignment, interpretability, scientific discovery).

Lead Research-Focused Media Engagement

• Build and maintain trusted relationships with top-tier science, technology, and business journalists.

• Manage proactive and reactive media engagement related to research announcements, papers, collaborations, and emerging narratives.

• Prepare researchers and executives for interviews, briefings, and public appearances.

Support Research Launches & Publications

• Partner with research teams to plan communications for major papers, model releases, evaluations, and science initiatives.

• Collaborate with design, editorial, and social teams on blogs, explainers, visuals, and supporting materials.

• Ensure launches are grounded in evidence, aligned with policy and safety considerations, and appropriately scoped.

Cross-Functional Partnership

• Work closely with Product, Policy, Safety, Legal, and Marketing to align research communications with broader company goals.

• Serve as a communications thought partner to researchers—helping them anticipate questions, risks, and opportunities.

Risk Anticipation & Mitigation

• Identify potential reputational, scientific, or misinterpretation risks early.

• Develop mitigation strategies, Q&A, and guidance for sensitive or high-profile research topics.

• Help ensure OpenAI communicates responsibly about frontier capabilities and limitations.

You might thrive in this role if you have:

• 7+ years of experience in research, science, or technology communications

• Demonstrated experience working directly with scientists, engineers, or technical leaders.

• Strong understanding of AI, machine learning, or adjacent scientific domains

• Exceptional writing and editing skills, with the ability to adapt tone for expert and general audiences

• Proven judgment handling complex, ambiguous, or high-stakes narratives

• Experience managing multiple workstreams in a fast-paced environment with shifting priorities

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