The primary responsibility of the Partner Manager (AI Boutiques) is to build and develop our ecosystem of AI-native boutiques, specialist SIs and consultancies. The Anthropic Alliances team's function is to extend and accelerate adoption of Claude and its developer platform by recruiting and developing a portfolio of consulting, services, technology and selling partners. This role focuses on partners who are building Claude-first practices,typically smaller, more agile firms with deep AI implementation expertise. These partners deliver proof points, train the talent pool, and drive adoption velocity in the mid-market to complement our developing GSI relationships.

Responsibilities:

• Be the face of Anthropic Alliances to our DACH/CEE emerging boutique partner ecosystem across AI-natives, specialist SIs and consultancies.
• Build and curate the partner portfolio to accelerate Claude adoption and service mid-market and enterprise customers.
• Identify, recruit, and onboard high-potential partners with genuine AI implementation capability.
• Partner with sales leaders to ensure business objectives are identified and met, with particular focus on deals where boutique agility and specialist expertise add value.
• Understand partners' businesses, their technical depth, and their target customer segments.
• Drive structure and rigour in joint business planning and active pipeline development.
• Provide and coordinate sales and technical enablement, ensuring partners function as a seamless extension of our direct sales and Applied AI teams.
• Coordinate with the GSI-focused Partner Manager to ensure complementary coverage and avoid duplication.
• Review customer needs and coverage gaps to identify where to focus prospecting and partner capability development.
• Monitor market and industry trends to identify emerging partners and new areas of specialisation.
• Develop and deliver regular pipeline, lead, and activity reports attributing partner value.
• Be the "voice of the partner" to internal teams (product, sales, leadership),surface implementation patterns, product feedback, and competitive intelligence from the practitioners closest to the technology.

You may be a good fit if you have:

• 5+ years of experience developing services partners, consulting partners, or specialist VARs in the AI, data, or enterprise software industry.
• Track record of building channel and partner motions from early stage and enabling partners who are themselves building new practices.
• Experience working with boutique consultancies and SIs; understanding of how smaller partners add value to complement GSIs.
• Experience managing an ecosystem across multiple countries, liaising with multiple distributed GTM teams.
• Demonstrated experience with technology products at an early stage of maturity, including APIs and platforms.
• Experience driving revenues across start-ups, digital native and mid-market.
• Very comfortable navigating a high degree of ambiguity and prioritizing work ruthlessly in an exceptionally fast-moving environment.
• Comfortable leveraging AI tooling to multiply impact and efficiency.
• Ability to work autonomously and in virtual teams.
• Willing and able to travel throughout the region.
• Fluent German. Other European languages are a plus.

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. Visa sponsorship: We do sponsor visas!

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact , advancing our long-term goals of steerable, trustworthy AI , rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and paid time off, and opportunities for growth and development.

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

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

The Partner Enablement team at Okta is responsible for equipping our Field Team and Partners with the knowledge, tools, and resources needed to succeed. We create, deliver, and manage training programs that drive understanding and adoption of Okta’s innovative identity and access management solutions. Our mission is to empower every learner to maximise the value of Okta’s platform and services.

The Service Delivery Trainer Opportunity

Reporting to the Manager, GSI Enablement, this role will develop and deliver training programs to ensure seamless deployment and adoption of Okta solutions. The Service Delivery Trainer will leverage their technical enablement and deployment experience to provide our customers and partners with best-in-class training, enabling them to deploy Okta successfully.

What You’ll Be Doing

• Delivering technical training sessions to GSI partners focused on deploying and managing Okta solutions.
• Designing, developing, and maintaining training materials, including presentations, hands-on labs, and virtual learning modules.
• Collaborating with cross-functional teams to ensure training aligns with product updates and best practices.
• Partnering with deployment teams to understand challenges and create targeted training programs to address skill gaps.
• Gathering feedback from learners to continuously improve training effectiveness and content quality.
• Managing logistics for training sessions, including scheduling, registration, and follow-up communications.

What You’ll Bring to the Role & What We’re Looking For

• 5+ years of experience in technical enablement or training, preferably with a focus on SaaS or identity solutions.
• Hands-on experience deploying Okta or similar identity management solutions.
• Proven ability to design and deliver engaging, technically complex training programs to diverse audiences.
• Excellent communication and presentation skills with a knack for making technical topics accessible.
• Strong collaboration skills and the ability to work across multiple teams and functions.
• Familiarity with instructional design principles and adult learning methodologies.

Additional Experience That We Value

• Okta certifications (e.g., Okta Certified Administrator, Okta Certified Professional).
• Experience with deployment tools and methodologies.
• Proficiency with virtual training platforms and e-learning development tools.
• Background in managing customer or partner onboarding programs.
• Experience working with global teams and scaling training programs internationally.

#LI-Hybrid

#P22580

The Okta Experience

• Supporting Your Well-Being
• Driving Social Impact
• Developing Talent and Fostering Connection + Community

We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.

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As a Technical Enablement Lead, you'll own Claude Code enablement,building demos, labs, and content that help sellers showcase agentic coding. This is an ideal role for an engineer who loves teaching, loves developer tools, and wants to shape how field teams talk about the future of AI-assisted development.

Key responsibilities include:

• Deliver Claude Code training for onboarding and ongoing enablement programs
• Create and maintain training content: demo scripts, hands-on labs, use case libraries, quick-reference guides
• Build compelling demo scenarios across industries and developer personas
• Develop competitive positioning content,battlecards, differentiation guides, objection handling
• Run demo coaching sessions and weekly office hours
• Translate new Claude Code features into field-ready content rapidly
• Gather field feedback and track content effectiveness to continuously improve programs

Requirements include:

• 7+ years in a technical role (software engineering, solutions engineering, developer advocacy, or technical enablement)
• Strong programming skills,you've shipped real code recently, not just slideware
• You use AI coding tools (ideally Claude Code) extensively in your own work,not as a novelty, but as core infrastructure for how you build and ship
• Track record delivering live technical training or talks
• Experience partnering directly with sales, solutions engineering, or GTM teams

Nice to have:

• Experience coaching others on demos or presentations
• Familiarity with enterprise developer workflows
• Public speaking, conference presentations, or community-facing developer advocacy

Location & Travel:

Location is flexible, with preference for proximity to a major hub (SF, NYC, or Seattle). Regular travel is expected for in-person training delivery and field events.

Annual compensation range for this role is $270,000-$310,000 USD.

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You will work at the intersection of our product, our customers, and our field teams , translating deep technical knowledge of Claude into structured programs that accelerate customer time-to-value. You will partner closely with Sales, Customer Success, Product, and Product Marketing to ensure our training approach evolves alongside our product and GTM strategy.

This is a ground-floor opportunity to architect a customer productivity function from scratch. The right person will combine strong technical fluency, value-based outcomes, with program-building instincts and a bias toward measurable outcomes.

Responsibilities:

• Design and build a scalable customer training program focused on activation, adoption, and value realization
• Develop onboarding resources, workshops, and deep-dive content around our platform and products
• Define and track the metrics that determine whether customers are achieving value, partnering with Sales and Customer Success to close gaps
• Partner with Product and Product Marketing to build enablement materials aligned to new product releases and evolving use cases
• Serve as a resource and advisor to GTM teams for customer engagements, helping them articulate value and guide adoption
• Build and maintain a knowledge base and self-service learning resources that scale beyond one-to-one engagement
• Leverage Claude and advanced technologies to scale the program and model best practices for customers

You may be a good fit if you have:

• 8+ years of experience in a customer-facing role such as sales engineering, solutions consulting, or technical enablement within AI/ML or enterprise technology organizations
• Enterprise technical sales experience with strong presentation and communication skills , comfortable in front of both technical and executive audiences
• Program management experience, including building enablement or productivity programs from the ground up
• A track record of thriving in fast-paced, ambiguous environments where you define the playbook rather than follow one
• Exceptional strategic thinking and storytelling skills, with the ability to distill complex AI concepts into clear, actionable frameworks
• Experience collaborating with Sales leaders, Product, Marketing, and Operations to shape customer-facing motions
• Strong analytical skills with a data-driven approach to measuring program effectiveness
• A proactive, scrappy approach , combining strategic vision with a willingness to build and execute hands-on

Strong candidates may have:

• Experience at an AI company or high-growth technology organization that has scaled a customer-facing function
• Familiarity with Claude, Claude Code, or similar AI developer tools is a plus and can be developed on the job

The annual compensation range for this role is $270,000-$310,000 USD.

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In collaboration with the Sales, Product, Research, and Engineering teams, you’ll help national security partners develop strategies and implementation plans to integrate leading-edge AI systems into their mission. You will employ your excellent communication skills to explain and demonstrate complex solutions persuasively to technical and non-technical audiences alike. You also will play a critical role in identifying opportunities to innovate and differentiate our AI systems, while maintaining our best-in-class safety standards.

Key responsibilities include:

• Acting as a primary technical advisor for senior government leaders and prospective National Security customers evaluating Claude.
• Partnering closely with the policy team and sales account executives to understand customer requirements.
• Driving technical decision making by partnering on optimal setup, architecture, and integration of Claude into the customer's existing infrastructure.
• Traveling to customer sites for senior leader meetings, AI implementation, technical enablement, and building relationships.

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

• Active TS/SCI security clearance.
• 2+ years of experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Platform Engineer within the National Security space.
• Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders.
• Strong technical aptitude to partner with engineers and proficiency in at least one programming language (Python preferred).
• Understanding of and experience with LLM fundamentals.
• Ability to navigate and execute amidst ambiguity, and to flex into different domains based on the business problem at hand.

The annual compensation range for this role is $270,000-$345,000 USD.

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Responsibilities:

• Develop the long-term vision, strategy, and day-to-day operations for Professional Services enablement at Stripe.
• Establish KPIs and analytics to track the impact of enablement initiatives and make data-driven decisions.
• Create and publish Professional Services enablement calendar.
• Communicate enablement strategies, program progress, and readiness metrics clearly and concisely to senior ProServ leadership.
• Collaborate with a globally distributed team across multiple time zones and serve as the crucial bridge between Product, GTM Enablement, Partners, and Professional Services leadership, ensuring all teams are aligned on enablement priorities and product readiness.
• Understand the role of consulting at Stripe so that you confidently build new training programs and content focused on soft skill enablement.
• Translate complex product capabilities into specialized learning paths and actionable enablement resources across Stripe’s technical landscape.
• Stay on the pulse of industry trends and competitive landscapes, adapting enablement priorities to maintain Stripe's technical edge.
• Build aesthetically superb courseware and documentation alongside scalable enablement assets (e.g., technical deep-dives, playbooks, certification programs, and hands-on technical labs).
• Orchestrate and collaborate with Subject Matter Experts (SMEs), including Product and Product Marketing, to curate high-impact technical content.
• Design and deliver comprehensive onboarding programs, ongoing training, and just-in-time learning resources to keep the Professional Services teams at the cutting edge.
• Cultivate a program of continuous peer-to-peer learning that empowers top-performing consultants to share best practices and field-tested technical solutions.
• Identify skill and knowledge gaps, then partner cross-functionally to build innovative enablement programs that drive measurable improvements in satisfaction, productivity, and revenue generation.
• Be a key advocate and support for change management and best practices throughout the organization.

Requirements:

• 10+ years of experience in a technical consulting or enablement role.
• Knowledge of adult learning principles and the ability to incorporate them into the curriculum.
• Proven track record of designing and delivering highly effective enablement programs that drive measurable improvements in sales and delivery performance.
• Strong project management skills with the ability to multitask, prioritize, and execute in a fast-paced environment.
• Excellent communication and presentation skills, with experience engaging both technical and non-technical stakeholders.
• Demonstrated ability to work cross-functionally and build productive relationships with teams across the organization.
• Passion for continuous learning and a solutions-oriented mindset.
• Experience with content creation, curation, and knowledge management platforms.

Preferred qualifications:

• Experience developing content for technical certifications.
• Professional experience using e-learning software and/or LMS.
• Experience working with payment industry and/or consulting.

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You'll design and run scalable technical enablement programs that help customers unlock business outcomes from GitLab across source code management, CI/CD, DevSecOps, and Agile planning, while building repeatable frameworks to remove adoption barriers.

Reporting to the Senior Director of Customer Success Managers, you'll combine deep DevSecOps expertise with strategic program development, partnering closely with Sales, Renewals, and cross-functional teams to turn technical insights into commercial impact, reduce churn risk, and surface expansion opportunities.

In your first year, you'll be focused on establishing clear metrics for technical value, strengthening voice-of-the-customer feedback loops with Product and Engineering, and elevating the effectiveness and impact of the Customer Success Engineering team across a pooled book of business in the EMEA region.

Responsibilities

• Lead a distributed team of Customer Success Engineers in EMEA to drive GitLab adoption and technical value realization across a pooled book of business.

• Develop and execute scalable technical enablement strategies and programs that help customers use GitLab for source code management, CI/CD, DevSecOps, and Agile planning.

• Drive creation of repeatable frameworks and systematic solutions that remove adoption barriers and support measurable customer business outcomes.

• Collaborate closely with Sales, Renewals, and Customer Success Managers to align technical enablement with commercial objectives, supporting retention and expansion across accounts.

• Use data and performance indicators to assess program effectiveness, identify adoption trends, and adjust technical initiatives for greater impact at scale.

• Mentor and coach team members to strengthen their DevSecOps expertise, customer engagement skills, and ability to translate technical capabilities into business value.

• Champion the voice of the customer by translating field insights and technical pain points into actionable feedback for Product, Engineering, and other cross-functional teams.

• Partner with internal stakeholders to ensure customer feedback, feature requests, and adoption insights inform roadmap priorities and improvements to the overall customer experience.

Requirements

• Strong understanding of DevSecOps practices, with the ability to connect GitLab capabilities across source code management, CI/CD, security, and Agile planning to tangible business outcomes.

• Experience leading and developing technical teams in a distributed, remote environment, with a focus on customer outcomes and scalable impact.

• Background in software development or engineering that enables you to guide technical conversations, remove adoption barriers, and design effective enablement paths.

• Experience designing and implementing scalable customer success or technical enablement programs, using data to measure impact and refine approaches.

• Ability to translate complex technical concepts into clear, outcome-focused messaging for both technical and non-technical stakeholders.

• Proven skill in collaborating with Sales, Renewals, and other cross-functional teams to align technical adoption work with commercial objectives.

• Comfort using customer insights and feedback to influence internal priorities, including product, process, and program decisions.

• Openness to diverse backgrounds and transferable skills, with a growth mindset toward learning GitLab's platform and evolving DevSecOps practices.

About the Team

We're the Customer Success Engineering team within the broader Customer Success organization. We're a distributed, remote group that collaborates asynchronously across time zones, using GitLab and our handbook-first approach to coordinate work rather than relying on dedicated account assignments.

This structure helps us deliver a consistent customer experience, quickly share learnings across accounts, and continuously improve how we support customers.

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Key responsibilities include:

• Designing and building a scalable customer training program focused on activation, adoption, and value realization
• Developing onboarding resources, workshops, and deep-dive content around our platform and products
• Defining and tracking the metrics that determine whether customers are achieving value, partnering with Sales and Customer Success to close gaps
• Partnering with Product and Product Marketing to build enablement materials aligned to new product releases and evolving use cases
• Serving as a resource and advisor to GTM teams for customer engagements, helping them articulate value and guide adoption
• Building and maintaining a knowledge base and self-service learning resources that scale beyond one-to-one engagement

You will be a key member of the Go-to-Market team and will work closely with Sales, Customer Success, Product, and Product Marketing to ensure our training approach evolves alongside our product and GTM strategy.

If you have 8+ years of experience in a customer-facing role such as sales engineering, solutions consulting, or technical enablement within AI/ML or enterprise technology organizations, and you are comfortable in front of both technical and executive audiences, then you may be a good fit for this role.

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As PPO Lead, you will own the PPO portfolio at the team level,setting strategic priorities, allocating resources, and ensuring delivery is tied to measurable outcomes. You will also partner cross-functionally to embed AI and automation into People operations and to institutionalize standards, governance, and a service catalog across portfolios.

Responsibilities:

• Lead, mentor, and develop the process optimization team. Build team capability in Lean/Six Sigma methods, data analysis, and automation best practices.
• Define team goals, conduct performance reviews, and create development plans that align individual growth with business needs.
• Drive development and adoption of a standardized Service Catalog to clarify offerings, SLAs, and handoffs across People functions.
• Instill governance, operating rhythms, and escalation paths to reduce ambiguity in process ownership.
• Define and track metrics that demonstrate current state, progress, and business value; ensure all delivery is evidence-based.
• Establish scalable reporting and dashboards to surface performance, ROI, and opportunities for further optimization.

Strategic Portfolio & Stakeholder Management:

• Act as the primary partner to People, Finance, IT, and other stakeholders to align process initiatives with broader organizational objectives. Communicate portfolio outcomes, risks, and roadmap updates to senior leadership; translate complex analysis into clear, actionable recommendations.
• Set strategic priorities, manage capacity, oversee program-level roadmaps and budgets and prioritize initiatives using rigorous ROI frameworks and resource trade-offs.
• Ensure consistent, high-quality delivery across projects and maintain a backlog that reflects strategic value and operational urgency.
• Lead continuous improvement efforts and knowledge sharing across the organization.

Technical Enablement, AI, & Automation:

• Champion use of AI and automation to reduce manual toil and eliminate bottlenecks
• Ensure technical designs meet business requirements, security/compliance constraints, and scalability needs through User Acceptance Testing.

Requirements:

• 7+ years of experience in process optimization, business process reengineering, or operations, with people leadership experience.
• Deep expertise with DMAIC and other Lean/Six Sigma methodologies and proven experience applying them at scale.
• Experience designing and operationalizing Service Catalogs or centralized service management models.
• Strong track record of prioritizing work using ROI analysis and managing a portfolio of projects.
• Demonstrated technical fluency and experience leveraging AI and automation to streamline enterprise processes.
• Excellent analytical, communication, and stakeholder management skills; comfortable presenting to senior leaders.

Preferred Qualifications:

• Professional certification in Lean Six Sigma (e.g., Green/Black Belt).
• Experience managing process optimization in a high-growth tech environment, preferably supporting HR operations.
• Experience with tooling for process mapping, automation, and analytics platforms.

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Key responsibilities include: • Translating complex technical features into clear, customer-facing solutions and use cases • Creating and maintaining technical content, including how-to videos, technical articles, Explorer/knowledge-base content, and FAQs • Providing technical marketing support to internal and external stakeholders to drive product adoption and usage of gaming products • Collaborating effectively with cross-functional teams

To succeed in this role, you will need to have a strong understanding of the gaming community, including trends, user behavior, and ecosystems. You should also be able to track and analyze content performance metrics to improve effectiveness.

If you're a motivated and detail-oriented individual with a passion for technical marketing, we encourage you to apply for this exciting opportunity.

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What we're all about.

Our DATA values—Determination, Ambition, Teamwork, Accountability—aren't just operating principles, they're our competitive advantage. We bring context to every decision with a category-defining Decision Intelligence platform, and our partner ecosystem is the multiplier.

As VP, Partner Engineering, you will lead the technical vision, execution, and team required to scale partner-built and partner-delivered solutions across the world's most strategic technology and consulting landscapes.

Make Every Decision Count with Context

The opportunity.

Reporting to the SVP Global Alliances, the VP, Partner Engineering is the executive accountable for setting the Partner Engineering strategy to transform our partner ecosystem into a best-in-class technical delivery engine that expands consumption, accelerates CoSell and Channel revenue, and drives production deployments with repeatability and governance discipline.

This role will include:

• Developing, executing and leading the Partner Engineering strategy to deliver non-linear revenue growth via the Ecosystem
• Technical leadership of partner architecture
• Management of Partner Solution Architects as Player Coach i.e. Lead by example
• Execution of joint solution engineering with hyperscalers, industry ISV’s & GSIs
• Executive engagement and business impact through ecosystem consumption & marketplace ARR

What you'll be doing.

• Set the global Partner Engineering strategy and architecture standards aligned to cloud marketplaces, consumption incentives, and AI/data collaborations.
• Lead co-innovation blueprints and quick starts integrating our platform with the likes of Microsoft Azure, GCP, AWS, Databricks, Guidewire style decision systems, and GSI solution frameworks.
• Personally sponsor and govern the reference architecture, connector strategy, AI/data interop strategy, and workload optimization patterns for partner solutions.
• Create enterprise-grade integration frameworks and enforce architectural guardrails that accelerate deployment while minimizing partner/customer delivery risk.
• Partner with Product and R&D for cross function collaboration and alignment around roadmap and innovation
• Lead, mentor, and scale a global team of Partner Solution Architects focused on:

• Joint solution architecture
• Partner-led PoCs/PoVs
• Demo and sandbox platforms
• Deployment acceleration
• Technical certifications and readiness

• Build an elite Partner Architecture Centre of Excellence that rivals top ecosystem engineering orgs in the industry.
• Define clear role expectations, capability uplift plans, and partner field alignment models for PSAs.
• Establish performance-driven culture anchored in partner adoption velocity, PoV win rate, demo adoption, deployment acceleration, and marketplace ARR.
• Partner with Field Alliances, Field Engineering and RVP’s to enable and ensure Ecosystem attribution
• Own hyperscaler and ISV technical partnership co-innovation roadmaps, ensuring:

• Marketplace-ready joint solutions
• Consumption and integration patterns tied to incentives
• Field delivery kits for PSA + partner sellers
• Hardened reference designs for repeatable pursuits

• Drive GSI partnerships into factory-style delivery motions, launching industry solutions and field-ready plays with global systems integrators.
• Govern multi-party architecture risk, security, deployment patterns, rapid time-to-value, and executive sponsor checkpoints.
• Be the Evangelist for Ecosystem opportunities and own the hypothesis qualification for embedded or OEM, co-developed offerings and new pursuits
• Working closely with Product, define our ecosystem’s technical differentiation narrative—anchored in decision context, AI/data intelligence, workflows, and enterprise integration depth—against point solutions and platform incumbents.
• Ensure PSAs and partners can articulate why our platform wins architecturally, commercially, and operationally.

Requirements

What you'll bring.

• Proven executive leadership building partner engineering teams within enterprise software ecosystems
• Deep technical fluency in data platforms, AI/ML, analytics, cloud integration patterns, connectors, workflow systems and marketplace consumption architectures.
• Experience launching production-hardened joint solutions with hyperscalers and GSIs with measurable revenue and deployment outcomes.
• Ability to translate platform capability into partner-owned architectures that scale across customer estates.
• Practitioner’s mindset for governance of PoVs, partner certifications, deployment velocity, risk mitigation, and technical adoption KPIs
• Extensive experience in senior partner engineering, sales engineering or ecosystem technical leadership within large-scale enterprise software or SaaS companies.
• Excellent experience of managing architect/engineering-focused partner teams, PSAs, and global technical enablement functions.
• Demonstrated success driving multi-cloud partner consumption ARR, joint solution launches, and co-sell acceleration.
• Executive communication credibility with partner CTO/CIO/VP engineering stakeholders and hyperscaler/GSI technical leaders.
• Comfort operating across legal, sales, product, security, presales, and partner delivery functions.
• Willingness to travel globally (>40%).

Benefits

Our perks and quirks.

What makes you Q will help you to realize your full potential, flourish and enjoy what you do, while being recognized and rewarded with our broad range of benefits.

We know that just having an excellent glass door rating isn’t enough, so we’ve put together a competitive package as a way of saying thank you for all your hard work and dedication.

We offer:

Competitive salary Company bonus Flexible working hours in a hybrid workplace & free access to global WeWork locations & events Pension Scheme with a company contribution of 6% (if you contribute 3%) 25 days annual leave (with the option to buy up to 5 days) + birthday off! Work from Anywhere Scheme: Spend up to 2 months working outside of your country of employment over a rolling 12-month period Family: Enhanced Maternity, Paternity, Adoption, or Shared Parental Leave Health & Wellbeing: Private Healthcare, EAP, Well-being Days, Calm App, Gym Discounts Team's Social Budget & Company-wide Summer & Winter Parties Tech & Cycle-to-Work Schemes Volunteer Day off Dog-friendly Offices

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Responsibilities:

• Strategic Technical Partnership: Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues.

• Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment

• Customer Deal Support: Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance.

• Partner Ecosystem & Events: Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities.Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy.

You may be a good fit if you have:

• 5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager

• Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery

• Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more

• Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders

• Experience designing scalable cloud architectures and integrating with enterprise systems

• Familiarity with common LLM frameworks and tools or a background in machine learning or data science

• Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities

• A love of teaching, mentoring, and helping others succeed

• Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

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

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative team, and we're committed to making our work as open and transparent as possible.

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About the Team

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

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

About the Role

The AI Deployment Manager role is a specialist post-sales enablement role focused on delivering high-impact enablement and adoption services across OpenAI’s product suite. This role is responsible for designing and delivering technical enablement experiences that support a repeatable adoption framework– driving sustained activation, expanding breadth and depth of usage, and measurable business value across OpenAI’s product suite, including ChatGPT Enterprise, Codex, Agents, and the API.

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

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

In this role, you will:

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

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

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

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

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

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

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

You’ll thrive in this role if you:

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

• Possess exceptional presentation and communication skills, particularly when conveying the value of technical concepts clearly to senior and executive-level audiences.

• Strong technical depth across coding, agents, and APIs, with a practical understanding of how AI systems are built, evaluated, and operated in production, including RAG, evaluation strategies, fine-tuning, and key tradeoffs.

• Proven experience leading structured technical trainings, such as API bootcamps, workshops, or enablement sessions, with the ability to design learning journeys, handle live questions, and reason through problems in real time.

• Strong ability to connect technical features and capabilities to concrete business outcomes such as productivity, efficiency, cost reduction, risk mitigation, or revenue impact.

• Have a humble attitude, an eagerness to help others, and a desire to pick up whatever knowledge you’re missing to make both your team and our customers succeed.

• Comfortable thinking on their feet in live customer settings, adapting quickly to new information, shifting priorities, and real-time questions while maintaining clarity, ownership, and momentum.

• Are personally committed to fostering the safe and ethical evolution of AI.

About OpenAI

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

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About the Team

OpenAI’s AI Success Engineer team partners with the world’s most ambitious organisations to translate cutting-edge AI into real business value. We guide customers from first deployment through scaled enterprise adoption. Our work spans technical integration and enablement, workflow transformation, and sustained program and product delivery.

About the Role

The AI Success Engineer role is the primary post-sales point of contact for OpenAI’s most important customers. You are responsible for driving account health and adoption, ensuring technical readiness, identifying new use cases, and delivering measurable value to our customers with OpenAI’s ambitiously growing platform.

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

In this role, you will:

• Lead the technical relationship for post-sale customers and act as their trusted advisor on deployment, adoption, and value realisation

• Own account health, adoption velocity, and ongoing technical deployment and success across your portfolio

• Be an expert in all of OpenAI products across our API and agentic platform, Codex, ChatGPT Enterprise, and more and conduct technical enablement and configuration sessions across them

• Identify and validate use cases by embedding with customer teams to understand workflows and pain points

• Lead account level coordination across multiple workstreams, including new product activation, change management, and customer rollout and deployment planning

• Build strong relationships with executive sponsors and technical stakeholders and help align business goals with OpenAI capabilities

• Translate customer objectives into an actionable adoption roadmap with clear sequencing, milestones, and KPIs

• Partner with Solutions Architecture, Product, Engineering and Research by surfacing customer feedback, field patterns, and technical blockers and act as a cross-functional navigator who keeps teams aligned, informed, and moving toward customer outcomes

• Guide value realisation and measure impact through baselines, KPI definition, and post-deployment reporting

• Facilitate workshops on use case design, adoption best practices, champion building, and internal enablement

• Help drive expansions by identifying high-leverage opportunities where OpenAI’s platform can power new workflows or lines of business

• Serve as the technical advisor for existing customer implementations by guiding and optimising account setup, configuration, etc.

You’ll thrive in this role if you:

• 8+ years of experience in technical customer-facing roles such as technical account management, technical GenAI consulting or deployment roles, solutions architecture, technical delivery leadership, customer architecture or engineering, or other deep technical enterprise adoption work

• Deep, hands-on operational knowledge of OpenAI product capabilities, APIs, SDKs, connectors, and common integration patterns and able to explain model behaviour, limitations, techn

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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

London, UK

Employment Type

Full time

Department

About the Role

At OpenAI, we believe that artificial general intelligence (AGI) should benefit all of humanity. To realize this vision, we’re building the technical foundations that help enterprises move from experimentation to real-world, production-grade use of our platform and coding products.

The Lead, Technical ADM is a foundational role in that effort. You will shape how OpenAI’s deep technical expertise is delivered to builders and coders — moving us from high-touch, scarce delivery to a scalable, repeatable technical training motion that drives real customer outcomes.

The Technical ADM function translates OpenAI’s platform capabilities into practical, high-quality technical training that helps customers design, build, and deploy real systems. This role sits at the intersection of technical depth, education, and scale. You will lead by doing first — delivering high-impact technical trainings yourself — and then build the team, standards, and operating model that allow this work to scale without sacrificing rigor.

This is a founding leadership role with meaningful visibility and a clear growth path as impact is demonstrated.

Responsibilities

Build and scale OpenAI’s technical training motion

Design and own the technical services menu for OpenAI’s API and coding products — deciding what we deliver live, what becomes repeatable, and what we stop doing.

• Deliver high-impact technical trainings yourself (e.g., API 103-level depth, applying OpenAI products to real enterprise use cases, evolving customer SDLCs).

Partner closely with Customer Education to define and maintain the canonical builder and coder journey, from onboarding through production use.

Own outcomes and impact

• Be accountable for technical training outcomes, including:

• Production use cases launched

• Token consumption and platform usage for educated customers

• Throughput and reuse of technical training

• Continuously evaluate tradeoffs between depth vs. scale, bespoke vs. repeatable, and speed vs. rigor — and adjust the model as we learn.

Build the Technical ADM function

• Hire, develop, and lead our first cohort of technical ADMs

• Establish standards for technical depth, delivery quality, and excellence in training.

• Create the operating model that enables the function to scale sustainably as demand grows.

• Collaborate with Core / Coding / Emerging Products teams to standardize the ADM motion.

Partner across OpenAI

• Deliver technical trainings on behalf of — and in close partnership with — SAs and ASEs.

• Build strong working relationships with Product, Engineering, and Developer teams to ensure technical training remains current, credible, and aligned with the platform roadmap.

Ideal Background and Experience

• Deep technical fluency with APIs and modern software development workflows.

• Ability to teach and explain complex technical concepts at 103-level depth, including how OpenAI products change how teams design and ship software.

• Demonstrated ability to do the work first and then scale it through others.

• Strong judgment navigating tradeoffs between bespoke delivery and scalable systems.

• Early leadership experience or strong interest in growing as a people manager.

• Experience in technical enablement, developer education, platform adoption, or adjacent customer-facing technical roles is a plus.

About OpenAI

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

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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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At OpenAI, we believe that artificial general intelligence (AGI) should benefit all of humanity. To realize this vision, we’re building the technical foundations that help enterprises move from experimentation to real-world, production-grade use of our platform and coding products.

The Lead, Technical ADM is a foundational role in that effort. You will define how OpenAI’s deep technical expertise is delivered to builders and engineering teams — moving us from high-touch, scarce delivery to a scalable, repeatable technical training motion that drives real customer outcomes.

This role is responsible for designing and scaling OpenAI’s technical adoption motion for developers. The Technical ADM function translates OpenAI’s platform capabilities into practical, high-quality technical training that helps customers design, build, and deploy real systems. This role sits at the intersection of technical depth, education, and scale.

You will lead by doing first — delivering high-impact technical trainings yourself — and then build the team, standards, and operating model that allow this work to scale globally.

This is a founding leadership role with meaningful visibility and a clear growth path as impact is demonstrated.

Responsibilities

Build and scale OpenAI’s technical adoption motion

• Design and own the technical adoption motion for OpenAI’s API and coding products — deciding what we deliver live, what becomes repeatable, and what we stop doing.

• Define how OpenAI delivers technical expertise to developers and engineering teams at scale.

• Design and deliver high-impact technical services (e.g., API 103-level depth, applying OpenAI products to real enterprise use cases, evolving customer SDLCs).

• Focus on how our platform changes software development, system design, and enterprise SDLCs

Own outcomes and impact

• Be accountable for measurable outcomes from technical education efforts, including

• Production use cases launched

• Token consumption and platform usage for educated customers

• Throughput and reuse of technical training

• Continuously evaluate tradeoffs between depth vs. scale, bespoke vs. repeatable, and speed vs. rigor — and adjust the model as we learn.

Build the Technical ADM function

• Hire, develop, and lead our first cohort of technical ADMs

• Establish standards for technical depth, delivery quality, and excellence in training.

• Create the operating model that enables the function to scale sustainably as demand grows.

• Collaborate with Core / Coding / Emerging Products teams to standardize the ADM motion.

Partner across OpenAI

• Works closely with Product, Engineering, and DevEx teams to ensure technical programs remain aligned with the platform roadmap

• Partner closely with Customer Education to define and maintain the canonical builder and coder journey, from onboarding through production use.

• Partner with SAs and ASEs to ensure programs reinforce other technical engagement models

Ideal Background and Experience

• Deep technical fluency with APIs and modern software development workflows.

• Ability to teach and explain complex technical concepts at 103-level depth, including how OpenAI products change how teams design and ship software.

• Demonstrated ability to do the work first and then scale it through others.

• Strong judgment navigating tradeoffs between bespoke delivery and scalable systems.

• Early leadership experience or strong interest in growing as a people manager.

• Experience in technical enablement, developer education, platform adoption, or adjacent customer-facing technical roles is a plus.

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 scale our technology to benefit various industries.

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What you'll do

• Support and execute technical content go-to-market strategies aligned with overall technical marketing objectives.
• Translate complex technical features into clear, customer-facing solutions and use cases, and support product launches with technical deep dives and solution-focused documentation.

What you need

• Bachelor’s degree and 3+ years of relevant work experience in technical marketing, product marketing, or related roles.
• Demonstrated experience creating technical content, including documentation, knowledge-base articles, FAQs, and how-to guides.

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What you'll do

• Collaborate strategically with Account Executives to enhance the technical aspects of the sales process.
• Work directly with technical contacts from our customers and prospective customers to provide bespoke support and architect solutions.
• Craft compelling technical demonstrations that clearly communicate our product's value proposition.
• Create technical enablement resources that amplify our sales team's effectiveness and technical fluency.
• Build self-service tools and documentation that empower customers to implement solutions independently.

What you need

• Proficiency in Python, inclusive of a deep understanding of software development, software architecture, and common integration patterns.
• Excellent communication skills with the ability to adapt messaging to different audiences.

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