Technical Program Manager, Enterprise

Scale AI · London, UK · Enterprise Engineering · listed July 7, 2026

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The shape of it

Seniority
Manager
Experience asked
2–5 years
Where
Not stated
Requirements listed
9
Length
829 words

In the posting’s own words

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.

What it asks for · 9

  • 5+ Enterprise-Scale Experience: 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.
  • Engineering Domain Expertise: 2+ years of dedicated experience managing programs focused directly on core engineering infrastructure, platform services, or distributed systems.
  • AI/ML Literacy: Strong foundational understanding of the Generative AI lifecycle, including LLM utilization for structured downstream tasks, model fine-tuning, and performance evaluation.
  • Masterful Communication: Proven track record of presenting to and influencing executive-level stakeholders, with the ability to translate complex technical challenges into clear business impacts.
  • Execution Excellence: Advanced proficiency with iterative development methodologies and modern project management tooling (Jira, Linear, etc.).
  • Growth Mindset: An insatiable appetite for learning and deeply engaging with modern ML/GenAI practices and infrastructure.
  • Engineering Roots: Strong software engineering fundamentals, ideally with prior professional experience as a software engineer or data developer before transitioning into program management.
  • Platform Adoption Track Record: Proven success driving the internal adoption of technical platforms, SDKs, or APIs across disparate product lines or independent business units.
  • Data-Centric AI Familiarity: Direct experience working with data quality pipelines, LLM-as-a-judge evaluation frameworks, or automated RLHF systems.

What the job covers

  • 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.

Tools and skills named

Models & research
  • Machine learning4×
  • LLM2×
  • Fine-tuning
  • Reinforcement learning
Ways of working
  • Cross-functional2×
  • Jira2×
  • Agile
Operations & finance
  • Program management3×
  • Project management
Cloud & infra
  • Distributed systems

Words the posting leans on

  • technical13×
  • engineering10×
  • program8×
  • execution6×
  • delivery5×
  • experience5×
  • risks5×
  • development4×
  • enterprise4×
  • leadership4×
  • managing4×
  • platform4×
  • product4×
  • software4×
  • track4×
  • adoption3×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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How this page was made

An automated read of a public job posting, fetched August 25, 2026 and last changed by Scale AI on August 4, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.