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. - 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. 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. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. The base salary range for this full-time position in the location of San Francisco is: $241,600—$302,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Ou

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).

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.