Group Product Manager, Managed Inference (SF/Sunnyvale) at Crusoe

San Francisco, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Cloud Computing, TechnologyIndustries

Requirements

8+ years of experience in technical product management or engineering with product responsibilities, ideally within AI/ML infrastructure or developer platforms
Proven track record of building and launching scalable AI services or features used in production environments
Strong understanding of cloud infrastructure (e.g., AWS, GCP, Azure) and modern compute architectures
Familiarity with the full machine learning model lifecycle — from experimentation to deployment and monitoring
Excellent communication and collaboration skills, including experience influencing cross-functional stakeholders and execs
Highly proactive and self-directed, with strong product judgment and a bias for action
Bachelor’s degree in Computer Science or a related technical field (or equivalent experience)
8+ years of experience in product management, with at least 3 years in a senior or group product management role, specifically focused on cloud storage (Block, File, Object) or related cloud infrastructure
Proven track record of successfully launching and managing B2B technical products from concept to market
Strong technical understanding of cloud storage architectures, including various storage types (Block, File, Object), data management, and integration with broader cloud infrastructure
Exceptional communication skills, with the ability to articulate complex technical concepts to a variety of audiences, including executives and technical teams
The ability to thrive in a fast-paced, high-growth startup environment, demonstrating strong leadership and strategic thinking
Experience working with cross-functional teams and managing diverse stakeholder needs, including vendor management

Responsibilities

Own the complete product lifecycle for Managed Inference offerings, from initial concept and strategic roadmap to successful execution and market adoption
Champion inference service offerings, translating market needs and technical complexities into clear product specifications, compelling narratives, and strategic decisions that drive business growth for Crusoe Cloud

Skills

Key technologies and capabilities for this role

Product ManagementAI/ML InfrastructureCloud InfrastructureAWSGCPAzureMachine Learning LifecycleModel DeploymentStakeholder Influence

Questions & Answers

Common questions about this position

Is this role remote or onsite?

This is an onsite position located in SF or Sunnyvale.

What experience level is required for this role?

The role requires 8+ years of experience in technical product management or engineering with product responsibilities, including at least 3 years in a senior or group product management role focused on cloud storage or related infrastructure.

What key skills are needed for this Group Product Manager position?

Key skills include strong understanding of cloud infrastructure (e.g., AWS, GCP, Azure), familiarity with the full machine learning model lifecycle, excellent communication and collaboration skills, and technical knowledge of cloud storage architectures.

What is the company culture like at Crusoe?

Crusoe fosters a fast-paced, high-growth startup environment where you'll drive meaningful innovation, make a tangible impact, and join a team setting the pace for responsible, transformative cloud infrastructure.

What makes a strong candidate for this role?

A strong candidate has 8+ years in product management with a proven track record of launching B2B technical products, strong technical depth in cloud infrastructure and AI/ML, exceptional communication skills, and the ability to thrive in a fast-paced startup while influencing cross-functional teams.

Crusoe

Utilizes wasted energy for computing power

About Crusoe

Crusoe Energy Systems Inc. provides digital infrastructure that focuses on using wasted, stranded, or clean energy sources to power high-performance computing and artificial intelligence. The company helps clients in the technology and energy sectors by offering scalable computing solutions that aim to reduce greenhouse gas emissions and support the transition to cleaner energy. Crusoe's approach involves converting excess natural gas and renewable energy into computing power, which allows them to maximize resource efficiency while minimizing environmental impact. Unlike many competitors, Crusoe specifically targets the intersection of energy and technology, generating revenue by supplying computing resources to enterprises that need significant computational power for applications like AI and machine learning, along with providing technical support.

Denver, ColoradoHeadquarters

2018Year Founded

$1,082.2MTotal Funding

SERIES_DCompany Stage

Energy, AI & Machine LearningIndustries

201-500Employees

Benefits

Industry competitive pay

Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents

Paid life insurance, short-term and long-term disability

Parental leave

Stock options in a fast-growing, well-funded technology company

Pet-friendly offices

Teladoc

401(k) with a 4% match

Unlimited time off

Cell phone reimbursement

Tuition reimbursement

Company paid commuter benefit; $100 per month

Calm

Risks

Increased competition in AI infrastructure could threaten Crusoe's market share.

Regulatory scrutiny may arise from Bitcoin mining's environmental concerns.

Rapid expansion into AI infrastructure may lead to operational challenges.

Differentiation

Crusoe converts wasted energy into computing power, reducing environmental impact.

The company offers scalable solutions for AI and high-performance computing needs.

Crusoe's Digital Flare Mitigation technology utilizes natural gas for eco-friendly Bitcoin mining.

Upsides

Crusoe secured $600M in Series D funding, boosting AI infrastructure expansion.

Partnerships with tech firms enhance Crusoe's AI capabilities and market reach.

AI-driven energy optimization can significantly reduce operational costs in data centers.

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