Crusoe

2 months ago

Staff Technical Program Manager, Managed Intelligence

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 15 hours agoStatus: Live

Job Summary

Staff TPM for Crusoe’s Managed Inference platform drives end-to-end multi-quarter roadmaps, model onboarding, and production readiness for new LLM versions. You’ll coordinate across Model Engineering, IaaS, Cloud Foundations, Data Center Operations, and external providers to deliver high-risk, multi-tenant inference projects with measurable SLA readiness, risk management, and executive-level visibility in a fast-paced AI infrastructure business.

Location: San Francisco, Sunnyvale

Workplace: Onsite

Employment Type: Full time

Job Function: Program & Project Management (PMO)

Seniority: Sr. Manager level

Key Responsibilities

•End-to-end program delivery: Own multi-quarter release planning, dependency governance, and executive communication across the Managed Inference platform.
•Complex, high-risk program management: Drive model version rollouts, inference optimization campaigns, SLA readiness for new GPU hardware, and multi-tenant capacity planning from kickoff through delivery.
•Cross-functional alignment: Coordinate across Model Engineering, IaaS, Cloud Foundations, Data Center Operations, and external model providers to keep programs on track and unblocked.
•Proactive risk identification: Surface risks across model serving, reliability, capacity constraints, and vendor timelines before they become program-level problems.
•Execution frameworks and dashboards: Build lightweight, scalable TPM frameworks and maintain real-time dashboards with data-driven updates to executives.

Pay and Benefits

Salary: USD 193,050 - 234,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVisionRsus401kPaid Leave

Key Requirements

•7+ years of experience as a Technical Program Manager in fast-paced technical environments and a track record of owning complex programs end-to-end across engineering and product organizations.
•LLM inference and model serving knowledge: familiarity with batching strategies, quantization approaches, and the tradeoffs that govern latency, throughput, and cost at production scale.
•Multi-tenant systems experience: isolation, quota management, and SLA enforcement across concurrent workloads.
•Fine-tuning and alignment awareness: familiarity with alignment workflows to govern program timelines and coordinate across teams.
•Low-structure execution: ability to build execution models in environments where processes did not yet exist and make them stick.

Experience:7+ yearsAI infrastructureCloudData center

Skills:Executive communicationStakeholder managementCross-functional collaborationProblem-solvingRisk management

Languages:English

Tech Stack:CUDAROCmGPULLMInferenceQuantizationBatchingFirmwareDriverPCIe

Company Brief

Crusoe

Builds vertically integrated, energy-first AI infrastructure and purpose-built AI data centers (Crusoe Cloud), leveraging clean/stranded energy to power large-scale GPU compute for AI training and inference.

Industry: Data Centers

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Decacorn (USD 10B+)

Funding: Series E+

Headquarters: Denver, United States

Founded: 2018

Glassdoor: 3.7

Website LinkedIn Glassdoor

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Crusoe

2 months ago

Staff Technical Program Manager, Managed Intelligence

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 15 hours agoStatus: Live

Job Summary

Location: San Francisco, Sunnyvale

Workplace: Onsite

Employment Type: Full time

Job Function: Program & Project Management (PMO)

Seniority: Sr. Manager level

Key Responsibilities

•End-to-end program delivery: Own multi-quarter release planning, dependency governance, and executive communication across the Managed Inference platform.
•Complex, high-risk program management: Drive model version rollouts, inference optimization campaigns, SLA readiness for new GPU hardware, and multi-tenant capacity planning from kickoff through delivery.
•Cross-functional alignment: Coordinate across Model Engineering, IaaS, Cloud Foundations, Data Center Operations, and external model providers to keep programs on track and unblocked.
•Proactive risk identification: Surface risks across model serving, reliability, capacity constraints, and vendor timelines before they become program-level problems.
•Execution frameworks and dashboards: Build lightweight, scalable TPM frameworks and maintain real-time dashboards with data-driven updates to executives.

Pay and Benefits

Salary: USD 193,050 - 234,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVisionRsus401kPaid Leave

Key Requirements

•7+ years of experience as a Technical Program Manager in fast-paced technical environments and a track record of owning complex programs end-to-end across engineering and product organizations.
•LLM inference and model serving knowledge: familiarity with batching strategies, quantization approaches, and the tradeoffs that govern latency, throughput, and cost at production scale.
•Multi-tenant systems experience: isolation, quota management, and SLA enforcement across concurrent workloads.
•Fine-tuning and alignment awareness: familiarity with alignment workflows to govern program timelines and coordinate across teams.
•Low-structure execution: ability to build execution models in environments where processes did not yet exist and make them stick.

Experience:7+ yearsAI infrastructureCloudData center

Skills:Executive communicationStakeholder managementCross-functional collaborationProblem-solvingRisk management

Languages:English

Tech Stack:CUDAROCmGPULLMInferenceQuantizationBatchingFirmwareDriverPCIe

Company Brief

Crusoe

Industry: Data Centers

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Decacorn (USD 10B+)

Funding: Series E+

Headquarters: Denver, United States

Founded: 2018

Glassdoor: 3.7

Website LinkedIn Glassdoor