We are seeking a product leader to join our team and play a pivotal role in building Agentic AI platforms to support national-level decisions, including for some of the nation’s most important national security challenges. As a Staff Product Manager, you will develop enterprise-grade solutions that leverage cutting-edge AI and AI agents to drive value for public sector customers. You will work with executives at Scale and our customers to determine and execute the product strategy of the business. You will own end-to-end product development by understanding customer pain points, defining product requirements, managing development, testing, and launches. You will lead cross-functional teams including engineering, product design, operations, marketing, go-to-market, and finance. You will develop a point of view and execute on turning the solutions we build into scalable software that we can commercialize across the industry. Ideally, you'd have technical experience in building ML-powered and/or enterprise-facing products, a strong understanding of generative AI technologies and their applications in public or large-scale private sector settings, experience operating in a fast-paced environment with high ambiguity, exceptional leadership, presentation, and communication skills with the ability to influence cross-functional teams, data literacy, and experience with data analytics. You will maintain a Top Secret security clearance.
\nCompensation packages at Scale for eligible roles 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. Scale employees in eligible roles are also granted equity-based compensation, subject to Board of Director approval. You’ll also receive benefits including, but not limited to: comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
\nFor pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $237,600-$297,000 USD. For pay transparency purposes, the base salary range for this full-time position in the locations of Washington DC, Texas, Colorado, Hawaii is: $213,400-$267,300 USD
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\nWill you now or in the future require visa sponsorship to work in the country where this position is located?
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\nLocation
\nSan Francisco
\nEmployment Type
\nFull time
\nDepartment
\nModel Deployment for Business
\nCompensation
\nThe 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.
\nBenefits
\nAbout the team
\nOpenAI’s Forward Deployed Engineering (FDE) org sits at the intersection of product, engineering, research, and go-to-market. We take frontier platform capabilities into the real world with design partners, turning raw customer signal into shipped software, repeatable patterns, and durable products.
\nAbout the role
\nThis is a founding Technical Deployment Lead (TDL) role for the FDE Platform team. You will be accountable for making our earliest design partner deployments successful, from initial scoping and success criteria through production adoption and demonstrated value.
\nThis is an ops-heavy, technically deep role: you will drive alignment across OpenAI and customer stakeholders, run the delivery plan across interdependent workstreams, and ensure enterprise constraints are handled upfront rather than discovered late. You will work closely with B2B Platform and FDE Platform teams to drive crisp execution, clear tradeoffs, and a path to scalable rollout for our platform design partners. Success is defined by delivered outcomes and adoption in critical workflows, not activity or slideware.
\nSuccess will be measured by platform outcomes that are measured by successful deployments. Deployments should 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).
\nIn this role you will
\nYou might thrive in this role if you
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