Drimva

Scale AI

Staff Product Manager, Agentic Platform

$200K–$345K

New York, NY +4 · Staff · Full-time · Posted Oct 14, 2025

Location
New York, NY
San Francisco, CA
Washington, DC
New York, New York, United States
Washington, District of Columbia, United States
Experience
4+ years building ML-powered and/or enterprise-facing products.
Education
Technical degree in computer science or engineering, or equivalent experience.

About the job

Leads the strategy, development, and deployment of agentic AI platforms for government customers, including national defense workflows in secure environments.

What you'll do

  • Own the end-to-end product lifecycle, from customer needs and requirements through development, testing, and launch.
  • Set product strategy and lead cross-functional execution, prioritization, planning, stakeholder engagement, and resource allocation.
  • Turn public-sector AI solutions into scalable, commercial software while ensuring security and compliance needs are met.

What they ask for

  • Maintain a Top Secret security clearance.
  • 4+ years of experience building ML-powered and/or enterprise-facing products.
  • Technical degree in computer science or engineering, or equivalent experience.
  • Strong understanding of generative AI technologies and their applications in public or large-scale private-sector settings.

Nice to have

  • Active TOP SECRET security clearance (TS/SCI eligibility preferred); prior military or government experience.
  • Coding experience (e.g. Python); experience with agentic application infrastructure, startups serving federal customers, or public/federal networks.

Pay

$210,000 — $345,000 USD base salary; $200,000 — $311,000 USD base salary

Tools

Python

AI focus

Build and commercialize agentic and generative AI platforms for government use, including secure national defense workflows and applications such as scenario planning, deep research, report generation, and Text2SQL.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 5, 2026 (UTC)