GenAI Platform Product Manager, Public Sector

Scale AI

New York (NY)

On-site

USD 238,000 - 297,000

Full time

14 days+
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Benefits offered by this job

Equity compensation
Learning stipend
Generous PTO
Commuter stipend
Health coverage

Job summary

Scale AI is seeking a product leader to own the lifecycle of a GenAI platform for public sector use, including design, prioritization, and multi-stakeholder delivery across government entities. You will drive cross-functional execution, align engineering scope and budgets, and ensure secure, compliant deployments in national defense workflows while fostering data-driven decision making.

This role demands strategic vision, rigorous risk management, and the ability to navigate tightly regulated

Qualifications

  • Technical degree in computer science, engineering or equivalent.
  • 4+ years building ML-powered or enterprise-facing products.
  • Strong understanding of generative AI for large-scale settings.
  • Experience in fast-paced environments with ambiguity.
  • Top Secret security clearance or eligibility.

Responsibilities

  • Own end-to-end product development from requirements to launch.
  • Define product strategy and prioritization across programs.
  • Lead cross-functional teams including engineering, design, operations, marketing, finance.
  • Engage with government agencies to align objectives and requirements.
  • Manage scope, project plans and budgets for multiple initiatives.
  • Ensure secure operation within controlled networks for national defense.

Skills

ML-powered products
Generative AI
Leadership
Python
Government experience
Data analytics

Education

CS/Engineering degree

Job description

Scale AI is seeking a product leader to own the lifecycle of a GenAI platform for public sector use, including design, prioritization, and multi-stakeholder delivery across government entities. You will drive cross-functional execution, align engineering scope and budgets, and ensure secure, compliant deployments in national defense workflows while fostering data-driven decision making.

This role demands strategic vision, rigorous risk management, and the ability to navigate tightly regulated

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