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Director, Technical Program Manager

On-site
Scale AISan Francisco, CA, US3 weeks agoWebsite
Director+
Enterprise Engineering

Compensation

$241,600-$302,000
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Description

About This Role

As the Director of TPM, Enterprise, you are not just managing programs; you are the architect of a new organizational capability. 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.

Key Responsibilities

  • Team Building & Leadership: Recruit, hire, and mentor a high-performing team of Technical Program Managers. Define the team’s culture, operating model, and career development paths.
  • Strategic Roadmap Ownership: Define the long-term execution strategy for Enterprise programs, ensuring alignment with company-wide OKRs and product milestones.
  • Organizational Design: Establish standardized processes for program delivery, risk management, and cross-functional communication that can scale with the company's growth.
  • Cross-Functional Orchestration: Serve as the primary bridge between Engineering, Product, and Executive leadership. Resolve high-level dependencies and resource conflicts across Platform, Data, and Product teams.
  • Executive Communication: Translate complex technical roadmaps and GenAI initiatives into clear business outcomes, risk profiles, and delivery forecasts for the C-suite and Board.
  • Operational Excellence: Drive the adoption of enterprise-grade standards for data quality and infrastructure reliability. Ensure that "Enterprise" isn't just a label, but a measurable standard of excellence across all BUs.

Ideally You’d Have

  • 10+ years of experience in Technical Program Management or Engineering Leadership, with at least 4+ years in a people management capacity leading other TPMs or Engineers.
  • Proven track record of building teams from scratch in high-growth, fast-paced environments (e.g., Series C through IPO or within a major tech incumbent).
  • Deep expertise in the AI/ML lifecycle, including LLM fine-tuning, performance evaluation, and the infrastructure requirements for deploying GenAI at scale.
  • Expert-level Stakeholder Management: Ability to navigate complex organizational politics and drive consensus among diverse technical and non-technical leaders.
  • Systems Thinking: The ability to look beyond individual projects to see the broader technical ecosystem and identify "force multipliers" for the organization.
  • Strategic Tooling Proficiency: Experience implementing enterprise-level planning and tracking frameworks (e.g., Jira Align, specialized roadmap software, or custom internal dashboards).

Nice to Have

  • Engineering Background: A background as a Software or ML Engineer, providing the "technical gravity" needed to earn the respect of senior architects and principals.
  • Platform-First Mindset: Experience building and driving adoption of internal developer platforms or horizontal services used by thousands of internal stakeholders.
  • Change Management Expertise: Proven ability to lead large-scale organizational shifts in methodology or technical architecture.

Stack

Generative AILLMsMachine LearningFine-tuning
Posted
Jun 2, 2026
Last seen
Jun 25, 2026
First seen
Jun 25, 2026
Status
active
Director, Technical Program Manager at Scale AI | Kairos