Director of Technical Program Manager

Requirements

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

• 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 life cycles), organizational design, and the ability to influence at the highest levels of the company
• 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