POSTED Nov 4

Product Manager - Infrastructure

at AnyscaleSan Francisco, CA

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About Anyscale:

At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAIUberSpotifyInstacartCruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.

With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.

Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date.

As a Product Manager for Infrastructure, you’ll own critical systems across security, data pipelines, permissions, and scalability. You get to touch core components across a variety of domains and in response to the most stringent customer requirements–from complex security models, novel control systems, and infrastructure orchestration powering the next generation of AI. 
As a Product Manager for Infrastructure, you’ll own critical systems across security, data pipelines, permissions, and scalability. You get to touch core components across a variety of domains and in response to the most stringent customer requirements–from complex security models, novel control systems, and infrastructure orchestration powering the next generation of AI. 

What You'll Do:

  • Lead and shape core components of our infrastructure, spanning complex security systems, billing frameworks, and platform reliability
  • Collaborate with engineers to build scalable systems and novel control solutions that customers and internal teams interact with daily
  • Engage with customers to understand their pain points and deliver value, becoming a hero to both clients and internal stakeholders
  • Dive deep into the technical details of our infrastructure stack, mastering its intricacies to make data-driven decisions
  • What You'll Need:

  • Engineering background, with 2+ years of experience as a SWE and 2+ years in Product Management
  • Proven cloud experience, data analytics proficiency, and data pipeline expertise
  • Experience with Kubernetes
  • Ability to define robust security models
  • Customer-facing experience in a B2B SaaS/PaaS setting
  • Compensation

  • At Anyscale, we take a market-based approach to compensation. We are data-driven, transparent, and consistent. The target salary for this role is $178,536.00-$223,300.00. As the market data changes over time, the target salary for this role may be adjusted.

  • This role is also eligible to participate in Anyscale's Equity and Benefits offerings, including the following:

  • Stock Options
  • Healthcare plans, with premiums covered by Anyscale at 99% for both employees and dependents
  • 401k Retirement Plan
  • Wellness stipend
  • Education stipend
  • Paid Parental Leave
  • Fertility Benefits
  • Flexible Time Off
  • Commute reimbursement
  • 100% of in-office meals covered
  • Anyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. 

    Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish
    About Anyscale:

    At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAIUberSpotifyInstacartCruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.

    With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.

    Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date.

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