Temporal

1 month ago

Senior Engineering Manager, Compute

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Lead the Compute team at a planet-scale, multi-tenant compute platform, owning strategy, architecture, and operations to make compute invisible to customers while delivering reliable, cost-efficient performance for frontier AI workloads. Drive hiring, roadmap, and cross-team collaboration, balancing rapid delivery with durable platform design.

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key 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.
•Technical depth: 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.

Travel: Low travel

Pay and Benefits

Salary: USD 320,000 - 335,000 annually

Equity and Bonus:Equity

Perks:Paid Leave401kLearning BudgetHome OfficeInternet StipendHealth Insurance

Key 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.

Experience:AICloud computingOpen source

Education:Bachelor's

Skills:LeadershipCommunicationCoachingPerformance managementTeam-building

Languages:English

Tech Stack:FirecrackerGVisorEderaAWSGCPKubernetesLambdaFargateServerlessMicroVMs

Company Brief

Temporal

Builds an open-source orchestration platform for microservices and distributed applications, providing durable execution, stateful workflows, and developer-friendly APIs to simplify complex, long-running business processes.

Industry: Developer Tools

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Headquarters: San Francisco, United States

Founded: 2018

Website LinkedIn

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Temporal

1 month ago

Senior Engineering Manager, Compute

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key 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.
•Technical depth: 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.

Travel: Low travel

Pay and Benefits

Salary: USD 320,000 - 335,000 annually

Equity and Bonus:Equity

Perks:Paid Leave401kLearning BudgetHome OfficeInternet StipendHealth Insurance

Key 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.

Experience:AICloud computingOpen source

Education:Bachelor's

Skills:LeadershipCommunicationCoachingPerformance managementTeam-building

Languages:English

Tech Stack:FirecrackerGVisorEderaAWSGCPKubernetesLambdaFargateServerlessMicroVMs

Company Brief

Temporal

Industry: Developer Tools

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Headquarters: San Francisco, United States

Founded: 2018

Website LinkedIn