# Director, Technical Program Manager

**Company**: Scale
**Location**: San Francisco, CA
**Work arrangement**: onsite
**Experience**: executive
**Job type**: full-time
**Salary**: $241,600-$302,000 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/scaleai/jobs/4694435005?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_3f32bf00-ec0

## Description

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 executing enterprise-grade initiatives, ensuring data quality, operational efficiency, and 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), organisational design, and the ability to influence at the highest levels of the company.

Key responsibilities include:

- 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.

- Organisational Design: Establish standardised 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.

Ideal candidates will 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 organisational 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 organisation.

- Strategic Tooling Proficiency: Experience implementing enterprise-level planning and tracking frameworks (e.g., Jira Align, specialised 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 organisational shifts in methodology or technical architecture.

This role may be eligible for additional benefits such as a commuter stipend.

## Skills

### Required
- Technical Program Management
- Engineering Leadership
- AI/ML lifecycle
- LLM fine-tuning
- Performance evaluation
- Infrastructure requirements
- GenAI deployment
- Stakeholder Management
- Systems Thinking
- Strategic Tooling Proficiency

### Nice to have
- Software Engineer
- ML Engineer
- Platform-First Mindset
- Change Management Expertise

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/scaleai/jobs/4694435005?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)