Product Manager, Gen AI Platform
Listed on 2026-02-01
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Software Development
AI Engineer, Software Engineer
About the Role
Scale AI is building the engine for the next generation of enterprise software - shifting from passive "Systems of Record" to active "Systems of Intelligence." We're looking for an experienced Product Manager to shape the future of the Scale Generative AI Platform (Scale GP) - our enterprise-grade AI platform that powers knowledge retrieval, inference, evaluation, and more.
This role focuses on building the reusable, foundational platform services that enable the creation of powerful AI agents 'll work at the intersection of customer solutions and core developer platform engineering, translating real-world needs into robust APIs, SDKs, and services that become the building blocks for all future development. You will also lead the end-to-end product lifecycle for core GenAI Platform capabilities, from discovery to launch.
Working closely with forward‑deployed engineering teams, you will uncover repeatable use cases and workflows from bespoke customer projects and transform them into scalable, reusable components.
- An agent‑building, hosting, and communication framework for next‑generation software development.
- A deep research capability that can ingest and reason over thousands of pages of unstructured documents.
- A Text‑to‑SQL intelligence application that makes data analysis accessible to non‑technical users.
- Drive the development and launch of a toolkit of reusable platform components that accelerate the creation of AI agents.
- Work with leadership and forward‑deployed teams to define the product strategy for the GenAI platform.
- Manage the end‑to‑end process of turning successful custom solutions into scalable, documented platform features.
- Lead a cross‑functional team of engineers, designers, and solution architects on complex platform projects.
- Develop the processes and strategy for building a powerful, repeatable layer of intellectual property.
- A technical degree in computer science, engineering, or equivalent experience.
- 4+ years of experience building platform, SDK, or enterprise‑facing products.
- A strong understanding of modern AI technologies and their applications in enterprise settings.
- Experience building products for engineering users with a track record of successful devx adoption.
- Experience working in a fast‑paced, ambiguous environment at the intersection of customer delivery and platform development.
- Excellent communication and leadership skills, with the ability to influence cross‑functional teams.
- Some coding experience (e.g., Python).
Compensation 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.
Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. 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.
$237,600 — $297,000 USD
PLEASE NOTE:Our policy requires a 90‑day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high‑quality data and full‑stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc.,
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