Technical Program Manager, Platform
On-siteLondon, England, United Kingdom
Job Summary
Lead strategic planning and high-velocity execution for SGP core capabilities including orchestration layers, model serving, and APIs. Drive end-to-end delivery from technical scoping through production launch while managing complex dependencies across systems engineering, Core ML, Research, and Product teams. Translate infrastructure metrics like LLM inference optimization and GPU utilization into actionable roadmaps and enforce clear SLOs to guarantee production-grade reliability. Proactively identify and mitigate technical risks unique to massive-scale GenAI deployments, unblock engineering bottlenecks, and establish lightweight agile processes to empower rapid shipping. Track adoption metrics, system reliability, and delivery forecasts directly to executive leadership to ensure responsible platform scaling.
Required Qualifications
- 5+ years of experience as a Technical Program Manager, Product Manager, or Software Engineer
- Proven track record of having built and shipped technical products or platforms from scratch
- 3+ years of dedicated experience managing programs focused directly on core engineering infrastructure
- Experience with cloud-native ecosystems (AWS/GCP)
- Experience with container orchestration (Kubernetes)
- Experience with distributed systems
- Foundational understanding of the infrastructure required for the Generative AI lifecycle
- Experience with high-throughput data pipelines
- Experience with GPU/CPU cluster utilization
- Experience with model training/evaluation setups
- Proven track record of presenting to and influencing executive-level stakeholders
- Ability to translate complex technical/architectural challenges into clear business impacts
- Advanced proficiency with iterative development methodologies
- Proficiency with modern project management tooling (Linear, Jira, etc.)
Desired Qualifications
- Strong software engineering fundamentals
- Prior professional experience as a Software Engineer, DevOps Engineer, or Data Developer before transitioning into program management
- Proven success driving the internal adoption of technical platforms, SDKs, or APIs across disparate, fast-moving product lines
- Direct experience working with large-scale data quality pipelines
- Experience with distributed vector databases
- Experience with specialized AI inference engines (e.g., Triton, Ray)
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