Temporal Technologies

Senior Engineering Manager, Compute

United States · Senior

Sponsorship not specified$320k-$335kDetected 33 days ago

Code ReviewAWSGCPKubernetesTemporalIncident ResponseValuationPerformance ManagementLeadershipCommunicationMentoring

About the role

SENIOR ENGINEERING MANAGER, COMPUTE Companies at the frontier of the AI revolution run on Temporal.
Cursor runs its cloud coding agents on Temporal at over 50 million actions a day across 7M+ workflows, and more than a third of the pull requests its users merge now come from those agents.

Responsibilities

Strategic direction for Compute: 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.
Technical leadership: 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.
Roadmap & trajectory: 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.
Operational excellence: When you run frontier AI in production, reliability is the product. Own operations, run on-call and incident response, and drive blameless postmortems and the systemic fixes that prevent recurrence.
Capacity, supply & economics: 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.
Strategic direction for Compute: 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.
Technical leadership: 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.
Own the strategy and standards of excellence for the compute layer that the world's agents run on, across design, delivery, and operations.

Requirements

12+ years in software and/or infrastructure engineering, including 7+ years of people management and demonstrated ownership of delivery and live-site outcomes.
Experience operating multi-tenant compute that other people's production workloads depend on.
Proven experience leading software engineering teams that build and operate large-scale compute platforms or fleets, with strong operational practices.
Deep distributed-systems and compute infrastructure depth, with the hands-on judgment to guide architecture and execution rather than from a distance.
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.
Live-site reliability craft: on-call, incident management & response, and postmortem-driven continuous improvement.
Strong command of the building blocks of a compute platform: multi-tenant isolation and security, scheduling, and resource management.

Nice to have

MicroVMs and virtualization (Firecracker, gVisor, Edera) or managed-compute primitives (AWS Fargate, GCP Cloud Run, AWS Lambda), and/or Kubernetes internals.
Multi-cloud delivery across AWS and GCP.
Cold-start, warm-pool, and scheduling/latency optimization for on-demand compute.
Agent sandboxes, secure execution of untrusted code, or other AI-agent infrastructure.
Bachelor's degree in Computer Science or related field, or equivalent practical experience
advanced degree a plus.

Skills

Companies at the frontier of the AI revolution run on Temporal.
OpenAI runs on Temporal, handling millions of requests.
In the last year alone, AI-native companies executed 1.86 trillion actions on Temporal Cloud, and the curve is still bending upwards.

Compensation

The estimated pay range for this role is $320,000 - $335,000.

Benefits

This role is eligible to participate in Temporal's equity plan

Company info

Cross-team & customer execution: 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.
Partner with leadership, Product, SDK, UX/DX, Security, and design-partner customers to align priorities and unblock delivery.
They are comfortable shaping a space that doesn't fully exist yet, obsessed with reliability when customers bet production on it, default to working backwards from customers, and balance the speed to ship 0-to-1 against the durable design a planet-scale platform demands.

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This listing is sourced directly from Temporal Technologies's careers page and normalized into a canonical job model.