Director, Technical Program Manager

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. , Series C through IPO or within a major tech incumbent).

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.

, 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.

Compensation

packages at Scale for eligible roles include base salary, equity, and

Benefits

. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience,

Qualifications

, interview performance, and relevant education or training.