Senior Product Manager - Ray Data at Anyscale

San Francisco, California, United States

Anyscale Logo
$167,600 – $214,000Compensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Machine Learning, Artificial Intelligence, TechnologyIndustries

Requirements

  • 3+ years of product management experience with technical products
  • Strong technical background in distributed systems, ML infrastructure, or data processing
  • Experience working with developer and enterprise audiences
  • Strategic thinking with ability to balance competing priorities and stakeholder needs
  • Located in or willing to relocate to the Bay Area
  • (Preferred) Prior experience with open source products and commercial monetization strategies
  • (Preferred) Background in ML tooling, data infrastructure, or developer tools

Responsibilities

  • Drive the Ray Data product roadmap - Balance open source Ray Data feature development with RayTurbo Data commercial differentiation to ensure that both Ray Data becomes the open source standard for AI data processing and RayTurbo remains sufficiently compelling
  • Drive open source Ray Data adoption - Focus on community growth, developer experience, and ecosystem integrations
  • Market Positioning & Enablement - Work closely with Product Marketing on strategic market positioning, field enablement, and competitive analysis to maintain differentiation
  • Customer engagement - Drive key customer engagements assisting sales and field engineering teams

Skills

Key technologies and capabilities for this role

Product ManagementDistributed SystemsML InfrastructureAI WorkloadsOpen SourceProduct RoadmapCustomer EngagementCompetitive AnalysisMarket PositioningDeveloper Experience

Questions & Answers

Common questions about this position

What is the salary range for the Senior Product Manager role?

The salary range is $167.6K - $214K.

Is this position remote or onsite?

The position is onsite and requires being located in or willing to relocate to the Bay Area.

What are the required qualifications for this role?

Candidates need 3+ years of product management experience with technical products, a strong technical background in distributed systems, ML infrastructure, or data processing, experience working with developer and enterprise audiences, and strategic thinking with ability to balance competing priorities and stakeholder needs.

What does the role involve in terms of team collaboration?

You'll own the entire Ray Data product roadmap, working closely with the engineering team, the field team, enterprise customers, and the open source community.

What makes a strong candidate for this Senior Product Manager position?

A strong candidate has prior experience with open source products and commercial monetization strategies, along with a background in ML tooling, data infrastructure, or developer tools, in addition to meeting the required qualifications.

Anyscale

Platform for scaling AI workloads

About Anyscale

Anyscale provides a platform designed to scale and productionize artificial intelligence (AI) and machine learning (ML) workloads. Its main product, Ray, is an open-source framework that helps developers manage and scale AI applications across various fields, including Generative AI, Large Language Models (LLMs), and computer vision. Ray allows companies to enhance the performance, fault tolerance, and scalability of their AI systems, with some users reporting over 90% improvements in efficiency, latency, and cost-effectiveness. Anyscale primarily serves clients in the AI and ML sectors, including major companies like OpenAI and Ant Group, who rely on Ray for training large models. The company operates on a software-as-a-service (SaaS) model, charging clients a subscription fee for access to the Ray platform. Anyscale's goal is to empower organizations to effectively scale their AI workloads and optimize their operations.

San Francisco, CaliforniaHeadquarters
2019Year Founded
$252.5MTotal Funding
SERIES_CCompany Stage
Enterprise Software, AI & Machine LearningIndustries
201-500Employees

Benefits

Medical, Dental, and Vision insurance
401K retirement savings
Flexible time off
FSA and Commuter benefits
Parental and family leave
Office & phone plan reimbursement

Risks

ShadowRay vulnerability in Ray framework poses significant security risk with no patch.
OctoML's OctoAI service increases competition in AI infrastructure market.
Dependency on Nvidia's technology could be risky if Nvidia faces issues.

Differentiation

Anyscale's Ray framework scales AI applications from laptops to cloud seamlessly.
Ray is widely used in Generative AI, LLMs, and computer vision fields.
Anyscale's SaaS model provides recurring revenue through subscription fees for Ray platform.

Upsides

Anyscale's $100M Series C funding indicates strong investor confidence and growth potential.
Partnership with Nvidia enhances performance and cost-efficiency for AI deployments.
Anyscale Endpoints offers 10X cost-efficiency for popular open-source LLMs.

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