Product Manager - Performance

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.

Join Anyscale as a Product Manager to lead strategy and drive performance improvements across our platform. You'll own end-to-end optimization, driving the most efficient and scalable solutions that push the limits of current machine learning capabilities. 

If you’re passionate about improving performance at each and every part of the essential ML workflows that are driving the AI revolution, we want to hear from you!
Responsibilities:
  • Drive strategy to improve performance on all key metrics, including; inference, data processing, training, and serving
  • Prioritize and execute on an ambitious and impactful product roadmap, which spans the performance efforts of the Anyscale platform 
  • Work cross-functionally to get significant performance improvements out the door. You’ll work with world-class engineers on cutting edge ML and cloud related projects
  • Work closely with our users and make them successful by identifying core product gaps and potential improvements
  • Make high-quality decisions quickly and efficiently and manage stakeholders to ensure that we stay focused on our key objectives and metrics
  • Deliver crisp communication about our products and services, both internally and externally
  • Qualifications:
  • Bachelor's or advanced degree in Computer Science, Engineering, or a related technical field
  • MBA or equivalent business experience is a plus
  • 5+ years experience as a Product Manager in a technology-driven company, with a focus on machine learning or AI products
  • Strong understanding of machine learning concepts, algorithms, and applications
  • Strong customer orientation and technical sense, with deep understanding of developer workflow
  • Experience in at least one of the following areas: Infrastructure, SaaS, or cloud experience
  • Rolled out a product or features from end-to-end
  • 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 $210,000-$282,000. 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
    Apply for this job

    Other AI Jobs like this

    Product Manager

    Lightning AI

    Product Manager

    Lightning AI

    Product Manager

    Ambient AI

    logo Anyscale Product Manager Full-time In-office 📍 San Francisco, CA Apply Now
    Your subscription could not be saved. Please try again.
    Your subscription has been successful.

    Newsletter

    Subscribe and stay updated.

    Your subscription could not be saved. Please try again.
    Your subscription has been successful.

    Join our newsletter