Technical Program Manager, Enterprise

Front Door Defense; Greater London; On-site; GBP 85,000 - 125,000; Full time

Job summary

Scale AI in London is seeking a Technical Program Manager to own end-to-end enterprise program delivery for frontier agent engineering initiatives.

You will partner with Frontier Agent Engineering, manage timelines, risks, and dependencies across engineering, product, and executive leadership, translating complexity into actionable plans in a hyper-growth AI environment.

Qualifications

• 5+ years as a Technical Program Manager or in a technical leadership role managing complex, large-scale software engineering or machine learning development projects.
• 2+ years managing programs focused directly on core engineering infrastructure, platform services, or distributed systems.
• Strong understanding of the Generative AI lifecycle, including LLM utilization for structured downstream tasks, model fine-tuning, and performance evaluation.
• Proven track record of presenting to and influencing executive-level stakeholders, with the ability to translate complex technical challenges into clear business impacts.
• Advanced proficiency with iterative development methodologies and modern project management tooling (Jira, Linear, etc.).
• An insatiable appetite for learning and deeply engaging with modern ML/GenAI practices and infrastructure.

Responsibilities

• End-to-End Program Ownership: Own the strategic planning, scheduling, and high-velocity execution of multiple enterprise-grade programs, ensuring on-time delivery against aggressive product goals.
• Cross-Functional Architecture Integration: Manage complex dependencies and technical communication across core teams to seamlessly deliver frontier agents to our enterprise customers.
• Technical Translation & Executive Influence: Synthesize deep technical complexities into concise, actionable insights for both engineers and C-suite stakeholders.
• Risk & Dependency Mitigation: Proactively identify, track, and architect mitigations for technical risks unique to enterprise AI deployment.
• Process Evolution: Modernize and scale agile execution frameworks (e.g., Jira, Linear) to support rapid, iterative ML and software development lifecycles.
• Metrics-Driven Accountability: Define, track, and report on key program health metrics, delivery forecasts, and engineering bottlenecks to executive leadership.

Skills

End-to-End Program Ownership

Cross-Functional Collaboration

Technical Translation

Risk Management

Agile / PM tooling

Metrics-driven

Tools

Jira

Linear

Job description

Technical Program Manager, Enterprise

Own end-to-end enterprise program delivery for frontier agent engineering initiatives at Scale AI

London

About The Role

As a Technical Program Manager, you will partner with our Frontier Agent Engineering teams on enterprise customer engagements — owning operational execution and delivery of our technical work by managing timelines, milestones, risks, and dependencies across technical deliverables. You will drive the strategic alignment and end-to-end execution of our most critical Enterprise initiatives. This is a high-leverage, technical leadership role where you will own program delivery from initial scoping to measurable, enterprise-wide adoption. You will serve as the core communication backbone and connective tissue between engineering, product, and executive leadership.

You are not just managing timelines; you are accountable for systemic, measurable outcomes, driving efficiency across the full agentic application development process. Operating in a hyper-growth, demanding AI environment, you will translate technical complexity into clear execution strategies, proactively mitigate risks, and ensure our engineering teams deliver reliable, high-value solutions at scale.

Key Responsibilities

• End-to-End Program Ownership: Own the strategic planning, scheduling, and high-velocity execution of multiple enterprise-grade programs, ensuring on-time delivery against aggressive product goals. Run weekly cross-functional syncs, surface blockers, drive decisions.
• Cross-Functional Architecture Integration: Manage complex dependencies and technical communication across core teams (e.g., Platform, Forward Deployed Engineering, Product) to seamlessly deliver frontier agents to our enterprise customers.
• Technical Translation & Executive Influence: Synthesize deep technical complexities into concise, actionable insights for both engineers and C-suite stakeholders. Drive absolute clarity across the delivery team regarding priorities, risks, and strategic outcomes.
• Risk & Dependency Mitigation: Proactively identify, track, and architect mitigations for technical risks unique to enterprise AI deployment, maintaining momentum in the face of ambiguity.
• Process Evolution: Modernize and scale agile execution frameworks (e.g., Jira, Linear) to support rapid, iterative machine learning and software development lifecycles.
• Metrics-Driven Accountability: Define, track, and report on key program health metrics, delivery forecasts, and engineering bottlenecks directly to executive leadership.

Minimum Qualifications

• End-to-End Program Ownership: 5+ years of experience as a Technical Program Manager or in a technical leadership role managing complex, large-scale software engineering or machine learning development projects.
• Cross-Functional Architecture Integration: 2+ years of dedicated experience managing programs focused directly on core engineering infrastructure, platform services, or distributed systems.
• Technical Translation & Executive Influence: Strong foundational understanding of the Generative AI lifecycle, including LLM utilization for structured downstream tasks, model fine-tuning, and performance evaluation.
• Risk & Dependency Mitigation: Proven track record of presenting to and influencing executive-level stakeholders, with the ability to translate complex technical challenges into clear business impacts.
• Process Evolution: Advanced proficiency with iterative development methodologies and modern project management tooling (Jira, Linear, etc.).
• Metrics-Driven Accountability: An insatiable appetite for learning and deeply engaging with modern ML/GenAI practices and infrastructure.

Nice-to-Have Qualifications

• End-to-End Program Ownership: Strong software engineering fundamentals, ideally with prior professional experience as a software engineer or data developer before transitioning into program management.
• Cross-Functional Architecture Integration: Proven success driving the internal adoption of technical platforms, SDKs, or APIs across disparate product lines or independent business units.
• Technical Translation & Executive Influence: Direct experience working with data quality pipelines, LLM-as-a-judge evaluation frameworks, or automated RLHF systems.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at [e-mail]. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.