Lead and grow a high-ownership engineering team building and operating large-scale, multi-tenant compute platforms for frontier AI workloads. Own strategy, architecture, operations, capacity planning, and live-site reliability for next-generation compute infrastructure.
320k – 335k
Remote12+ YOEEngineering Management
About the role
Responsibilities
Own the strategy and standards of excellence for the compute layer that the world's agents run on, across design, delivery, and operations. Build a culture of ownership, quality, and customer-first decision-making.
Lead, hire, and grow a high-ownership team; roll up sleeves, ready to do deep into the trenches, by staying close to design docs and code, rather than managing from a distance. Coach engineers, level them up, and clear the friction that slows them down.
Drive the arc from today's compute toward the next-generation of compute platforms. Ground prioritization in customer and design-partner feedback, and turn ambiguous, fast-moving requirements into predictable, iterative delivery.
Own operations, run on-call and incident response, and drive blameless postmortems and the systemic fixes that prevent recurrence.
Guide the hard architectural decisions for large-scale, multi-tenant compute, where technical concerns cut across workload isolation and security, scheduling, fleet efficiency / utilization / goodput, and performance, while ensuring the platform is reliable and efficient for the workloads that depend on it.
Own utilization, capacity and supply planning, and the cost-per-unit-of-compute and margin profile of the fleet, across CPU compute today and accelerated compute ahead.
Partner with leadership, Product, SDK, UX/DX, Security, and design-partner customers to align priorities and unblock delivery. Communicate progress, tradeoffs, and risk clearly to technical and non-technical audiences alike.
Requirements
Proven experience leading software engineering teams that build and operate large-scale compute platforms or fleets, with strong operational practices.
12+ years in software and/or infrastructure engineering, including 7+ years of people management and demonstrated ownership of delivery and live-site outcomes.
Deep distributed-systems and compute infrastructure depth, with the hands-on judgment to guide architecture and execution rather than from a distance.
Experience operating multi-tenant compute that other people's production workloads depend on.
Bachelor's degree in Computer Science or related field, or equivalent practical experience; advanced degree a plus.
Excellent communication skills, with the ability to partner across engineering, product, and leadership and fold customer feedback into the roadmap.
Strong leadership, coaching, and performance management; ability to grow engineers and build a healthy, accountable, high-ownership team.
Excellence in execution: planning, prioritization, and delivering iterative milestones in an ambiguous, fast-moving environment while managing unplanned work.
Fleet thinking: utilization, goodput, capacity and supply planning, and cost discipline as first-class engineering concerns.
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