Engineering Manager, ChatGPT Search Infrastructure
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The roles on this page sit firmly in AI and machine learning infrastructure. Most involve leading teams that build the systems underpinning model training, evaluation, and deployment rather than shipping consumer-facing features directly. A few examples illustrate the range: the Engineering Manager, Research Productivity at Anthropic focuses on large-scale training infrastructure and research tooling, while the Sr. Engineering Manager, AI Runtime at Databricks covers GPU training infrastructure, distributed orchestration, and fault tolerance. At OpenAI, the Engineering Manager, Model Flywheel leads teams working on model experimentation, rollout automation, and evaluation frameworks for ChatGPT. Cursor has two closely related postings: Engineering Manager, ML and Engineering Manager, Evals, both centred on model evaluation and training infrastructure. Director-level roles, such as the Director of Engineering, Physical AI at Scale AI, add organisation-building and cross-team technical strategy to those responsibilities. People management duties across all postings include hiring, coaching, and roadmap ownership.
Skills counts reflect mentions in posting descriptions across the full set of listings on this page, not stated requirements. With nearly all postings touching AI or ML infrastructure, agents and APIs appear most frequently, followed by evaluation, LLMs, and Kubernetes. Cloud platforms — AWS, Azure, and GCP — and pipeline tooling such as CI/CD and Spark appear in a meaningful minority. Python and Go feature in roughly one in ten postings. The sample is specific to this snapshot and these employers, so the counts should not be read as a general market signal.
The employers' own advertised ranges, for individual roles at different levels — not an average and not a market rate.
The clear majority of postings on this page specify onsite work in San Francisco, making in-person attendance the dominant expectation among these employers. A substantial portion list hybrid arrangements, where the balance between office and remote days is not standardised across postings and would need to be confirmed with each employer directly. Only a small number of postings explicitly offer fully remote work. No postings in this set left work mode unstated, so the picture is relatively transparent, though specific office day requirements for hybrid roles are not detailed in these listings.
Jobs checked 5 hours ago. · Guide reviewed 9 September 2026.
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