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AI Success Engineer - San Francisco

Job in Los Angeles, Los Angeles County, California, 90079, USA
Listing for: OpenAI
Full Time position
Listed on 2026-01-26
Job specializations:
  • IT/Tech
    Technical Support, AI Engineer, IT Consultant
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

OpenAI’s AI Success Engineer team partners with the world’s most ambitious organizations 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.

Our customers range from fast growing digital natives to the largest global enterprises, government agencies and educational institutions. Every engagement is an opportunity to shape how AI changes work, productivity, and innovation. This role sits at the center of that mission.

About the Role

The Success Engineer role is the primary post-sales point of contact for a set of 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 platform.

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

You will work closely with Sales, Solutions Architecture, Product, and Research to ensure the customer experience is connected and successful across every touchpoint. Success in this role means accelerating adoption, increasing customer activation depth, guiding strategic use cases that get to production, and helping customers demonstrate tangible business impact.

This role is based in San Francisco office and we offer relocation assistance for new hires.

In this role, you will:

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

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

Conduct technical enablement and configuration sessions across our broad product portfolio

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

Lead account level coordination across multiple work streams, 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 realization 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 optimizing 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, solutions architecture, technical delivery leadership, or deep technical enterprise SaaS adoption work
  • Deep, hands-on knowledge of OpenAI product capabilities, APIs, SDKs, connectors, and common integration patterns and able to explain model behavior, limitations, technical tradeoffs, embeddings, retrieval augmentation, and approaches to fine-tuning or custom model usage.
  • Can translate technical concepts into clear business language and help customers understand the strategic impact of AI technologies
  • Are comfortable embedding with customers to map workflows, identify requirements, and diagnose adoption challenges
  • Have excellent project and program management instincts and can lead multi workstream…
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