5 months ago

Product Manager, Cloud

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Drive the product vision and strategy for a scalable AI cloud compute platform built for GenAI developers. Partner with engineering and go-to-market teams to define roadmaps, milestones, and success metrics, delivering a high-performance AI serving system with deep visibility and control over performance, cost, and execution. Engage with enterprise customers and partners, translate feedback and market signals into product trade-offs, and evolve the platform into a scalable cloud business.

Location: United States, Canada

Workplace: Remote

Employment Type: Full time

Job Function: Product Management

Key Responsibilities

•Own the product vision and strategy for the Cloud Platform, grounded in customer workloads and measurable outcomes.
•Partner with engineering and AI application teams to design and deliver a high-performance, transparent AI serving platform.
•Define and manage roadmaps, milestones, and success metrics for near-term delivery and long-term platform evolution.
•Drive customer- and data-informed prioritization, translating market signals and performance insights into product decisions and trade-offs.
•Work cross-functionally across engineering, program management, technical writing, design, and GTM; engage customers and partners to validate direction and learnings.

Travel: Low travel

Pay and Benefits

Salary: USD 234,000 - 286,000 annually

Equity and Bonus:Equity

Perks:Health Insurance401kPaid LeaveEquity

Key Requirements

•9+ years of product management experience, including significant work on technical cloud platforms, AI infrastructure, data systems, or equivalent software/AI systems engineering experience.
•Strong understanding of cloud architectures and technologies (e.g., Kubernetes) and/or experience with AI infrastructure platforms such as PyTorch, vLLM, CUDA, Vertex AI, or SageMaker.
•Experience defining product vision, shaping roadmap trade-offs, and driving products from early adoption into broader production use.
•Familiarity with security, privacy, and compliance considerations for cloud platforms.
•Strong analytical and systems-level thinking to reason about performance, scalability, and cost.

Experience:9+ yearsAI infrastructureCloud platformsMachine learningGenAI

Education:Master's in Computer Science

Skills:CommunicationAnalytical thinkingSystems thinkingPrioritizationGrowth mindset

Tech Stack:KubernetesPyTorchVLLMCUDAVertex AISageMaker

Company Brief

Modular

Provides infrastructure and developer tools to build, deploy, and scale large AI models and foundation-model applications, including model hosting, orchestration, and SDKs to accelerate AI product development.

Industry: AI & Machine Learning

Website

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Modular

5 months ago

Product Manager, Cloud

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Location: United States, Canada

Workplace: Remote

Employment Type: Full time

Job Function: Product Management

Key Responsibilities

•Own the product vision and strategy for the Cloud Platform, grounded in customer workloads and measurable outcomes.
•Partner with engineering and AI application teams to design and deliver a high-performance, transparent AI serving platform.
•Define and manage roadmaps, milestones, and success metrics for near-term delivery and long-term platform evolution.
•Drive customer- and data-informed prioritization, translating market signals and performance insights into product decisions and trade-offs.
•Work cross-functionally across engineering, program management, technical writing, design, and GTM; engage customers and partners to validate direction and learnings.

Travel: Low travel

Pay and Benefits

Salary: USD 234,000 - 286,000 annually

Equity and Bonus:Equity

Perks:Health Insurance401kPaid LeaveEquity

Key Requirements

•9+ years of product management experience, including significant work on technical cloud platforms, AI infrastructure, data systems, or equivalent software/AI systems engineering experience.
•Strong understanding of cloud architectures and technologies (e.g., Kubernetes) and/or experience with AI infrastructure platforms such as PyTorch, vLLM, CUDA, Vertex AI, or SageMaker.
•Experience defining product vision, shaping roadmap trade-offs, and driving products from early adoption into broader production use.
•Familiarity with security, privacy, and compliance considerations for cloud platforms.
•Strong analytical and systems-level thinking to reason about performance, scalability, and cost.

Experience:9+ yearsAI infrastructureCloud platformsMachine learningGenAI

Education:Master's in Computer Science

Skills:CommunicationAnalytical thinkingSystems thinkingPrioritizationGrowth mindset

Tech Stack:KubernetesPyTorchVLLMCUDAVertex AISageMaker

Company Brief

Modular

Industry: AI & Machine Learning

Website