OpenAI
Manager, Applied AI Engineering (Startups)
Part remote, part office, you need to live within commuting distance of a named location.
Hybrid · San Francisco
Employer listed it 3 weeks ago · Added 3 days ago
Been open since 3 weeks ago, still being checked, but it has been live a while.
Salary
$302,000 to $335,000
Location
Hybrid · San Francisco
Timezone
Not stated
Contract
Full-time
Experience
Mid
Category
Software
Published by the employer
Remote flexibility
Hybrid
This role is only partly remote, the employer expects time in the office around San Francisco, Mountain View, Hybrid, so you need to live within commuting distance.
What the employer says
- Source listing states candidate location: "San Francisco, Mountain View, Hybrid"
- Listing mentions "Hybrid"
What Nomaders makes of it
- Not suitable if you plan to move between countries
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
About the Team
The Applied AI Engineering team partners closely with customers to help them move from experimentation to production with OpenAI’s technologies. We act as trusted technical advisors, working across customer strategy, architecture, deployment, and adoption to help organizations realize meaningful impact from frontier AI.
The Startups segment serves fast-moving, high-growth companies that are often building new products, workflows, and businesses directly on top of AI. These customers move quickly, operate with high ambiguity, and expect practical, creative, and technically rigorous partnership.
About the Role
We are looking for an Applied AI Engineering Manager, Startups to lead and scale the Startups Applied AI Engineering motion. This team helps high-growth startups move quickly from experimentation to production, unlock meaningful usage, and build durable technical partnerships with OpenAI.
This leader will operate in a high-velocity customer segment where founders, CTOs, and technical teams expect speed, judgment, and hands-on problem-solving. They will balance team leadership, technical depth, customer prioritization, and cross-functional influence across Sales, Product, Engineering, Research, and broader go-to-market teams.
In this role, you will define how OpenAI supports startup customers at scale: identifying where deep technical engagement can unlock outsized impact, building repeatable deployment mechanisms, and ensuring the team can serve a broad and dynamic customer base without losing quality or strategic focus.
In this role, you will:
Craft and continuously refine the strategic vision and operating model for the Startups Applied AI Engineering team, aligning it with OpenAI’s broader company objectives and the evolving needs of high-growth startup customers.
Lead, mentor, and grow a team of high-performing technical ICs supporting startup customers across AI-native, developer-led, and product-led companies.
Help startups move from early experimentation to production usage by identifying technical blockers, advising on architecture, and driving practical paths to deployment.
Partner closely with Sales to determine where technical engagement can accelerate adoption, production usage, and long-term account growth.
Represent the technical voice of startup customers by synthesizing high-signal feedback, especially around developer experience, product gaps, deployment blockers, model performance, and emerging use cases.
Translate recurring startup needs into repeatable playbooks, starter packs, reference architectures, internal tooling, and customer-facing assets that help the broader team move faster.
Serve as a senior technical escalation point for priority startup customers, including founder-, CTO-, and technical executive-level conversations.
Balance urgent customer needs with OpenAI’s broader product and platform priorities, especially when startups request niche features, bespoke support, or accelerated roadmap changes.
Coach Applied AI Engineers on technical quality, customer judgment, prioritization, executive communication, and cross-functional partnership.
Partner across Sales, Product, Engineering, Research, and other GTM teams to improve how OpenAI supports startups from early adoption through scaled production usage.
You might thrive in this role if you:
Have proven experience founding, scaling, or operating within early-stage startups, ideally in technical leadership roles where you owned both product or customer outcomes and technical execution.
Have a strong track record of building and leading technical, customer-facing teams in high-growth, ambiguous, or startup-heavy environments.
Bring strong technical depth across APIs, platform products, AI/ML systems, developer workflows, and production deployment considerations.
Have experience creating scalable operating models, not just managing one-off customer escalations.
Are comfortable working directly with founders, CTOs, technical executives, and highly technical ICs.
Requirements
The employer hasn't listed requirements separately, they're described in the role summary above and on the original listing.
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, hybrid, matches where you plan to live and work.
- 2Tailor your CV to the role at OpenAI, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 4d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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