Director, Technical Program Manager

$242k - $302k San Francisco, CA

Posted 1mo ago

Remote Work Policy

On-site

Categories

Applied AI Engineer

About the job

As the Director of TPM, Enterprise, you will be responsible for building, scaling, and leading a world-class TPM team from the ground up. Your mission is to establish the strategic framework for how we execute enterprise-grade initiatives, ensuring data quality, operational efficiency, and the seamless integration of AI capabilities across all business units. You will act as a strategic partner to Engineering and Product leadership, transforming high-level business vision into a rigorous, scalable execution engine. This is a high-stakes leadership role requiring a blend of deep technical fluency (particularly in ML/AI lifecycles), organizational design, and the ability to influence at the highest levels of the company.

Responsibilities

  • Recruit, hire, and mentor a high-performing team of Technical Program Managers, defining their culture, operating model, and career paths.
  • Define the long-term execution strategy for Enterprise programs, ensuring alignment with company OKRs and product milestones.
  • Establish standardized processes for program delivery, risk management, and cross-functional communication.
  • Serve as the primary bridge between Engineering, Product, and Executive leadership, resolving dependencies and resource conflicts.
  • Translate complex technical roadmaps and GenAI initiatives into clear business outcomes for the C-suite and Board.
  • Drive the adoption of enterprise-grade standards for data quality and infrastructure reliability.

Requirements

  • 10+ years of experience in Technical Program Management or Engineering Leadership, with at least 4+ years in a people management capacity.
  • Proven track record of building teams from scratch in high-growth environments.
  • Deep expertise in the AI/ML lifecycle, including LLM fine-tuning, performance evaluation, and GenAI deployment infrastructure.
  • Expert-level stakeholder management skills to navigate complex organizational politics and drive consensus.
  • Systems thinking ability to identify organizational "force multipliers".
  • Experience implementing enterprise-level planning and tracking frameworks (e.g., Jira Align, roadmap software).
  • Engineering background (Software or ML) is a plus.
  • Platform-first mindset and experience with internal developer platforms is a plus.
  • Change management expertise for leading large-scale organizational shifts is a plus.

Benefits

  • Base salary, equity, and benefits
  • Comprehensive health, dental, and vision coverage
  • Retirement benefits
  • Learning and development stipend
  • Generous PTO
  • Commuter stipend (potential)

About Scale AI

Get new AI jobs in your inbox

A weekly digest of the newest AI engineering roles.

© 2026 AI Job Board. All rights reserved.