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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Technical Program Manager, Enterprise London, UK Apply * - **Company:** Scale AI - **Location:** Greater London, UK - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, JIRA, Distributed Systems, Iterative and Incremental Development, Machine Learning, Software Deployment, Software Engineering, Large Language Models, Generative AI, Data Analytics - **Published:** August 30, 2026 - **Apply:** https://www.collegerecruiter.com/job/2815438314-technical-program-manager-enterprise-london-uk-apply- ## About the Role * 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. 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. ## Description As aTechnical 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., * 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. ## Related Videos - [The Limits of LLMs in Real-World Applications](https://www.wearedevelopers.com/videos/100328-the-limits-of-llms-in-real-world-applications) - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative](https://www.wearedevelopers.com/videos/741-your-imaginations-is-no-longer-the-limit-how-generative-ai-empowers-people-to-be-creative) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) - [Collaboration Quantified: Lessons from Open Source Developer Networks](https://www.wearedevelopers.com/videos/1422-collaboration-quantified-lessons-from-open-source-developer-networks) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)