Product Manager, Data Engine

onmogul.ai

San Francisco, CA, USA
$205,600—$257,000 usd; $212,800—$266,000 usd; $177...
On-site
Ml ops infrastructure development
Computer vision and generative ai
Ai model lifecycle management
Lead the evolution of the Public Sector Data Engine, building ML Ops infrastructure to develop reliable AI for critical national security systems

Job Summary

  • Lead the evolution of the Public Sector Data Engine, building ML Ops infrastructure to develop reliable AI for critical national security systems.
  • Architect the vision for ML Ops tooling, supporting data management, model development, and model evaluation for internal and external Machine Learning Teams.
  • Partner with Engineering to make high-stakes design decisions on infrastructure, APIs, and model evaluation frameworks, while aligning Engineering, Operations, and Government stakeholders.

Matching Summary

Lead the evolution of the Public Sector Data Engine, building ML Ops infrastructure to develop reliable AI for critical national security systems.

Salary

$205,600—$257,000 USD; $212,800—$266,000 USD; $177,600—$222,000 USD; Equity and Benefits

Skills & Requirements

Must-have

  • ML Ops infrastructure development
  • Computer Vision and Generative AI
  • AI model lifecycle management
  • Technical scoping and design decisions
  • Government stakeholder alignment

Nice-to-have

  • High EQ and structured thinking
  • Deep technical problem-solving ability
  • Practical large-scale CV model experience

Key Requirements

  • Secret or TS/SCI clearance
  • Software Engineering, Field Engineering, or Vision Systems background
  • Computer Vision or ML Ops experience
  • Grit and results-driven in high-pressure environments

Work Rights

Secret or TS/SCI clearance required

Tailored Resume

Cover Letter