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Senior Product Manager | ML & Developer Tools Focused Search Startup | Remote

  • Location

    United States

  • Sector:

    Product

  • Job type:

    Permanent

  • Salary:

    $230k base

  • Contact:

    Oliver Lauder

  • Contact email:

    oliver@intelletec.com

  • Startdate:

    ASAP

  • Consultant:

    Oliver Lauder

Our client is a rapidly growing early-stage startup that is building the data intelligence toolchain for machine learning developers working with unstructured data -- over 80% of the world's data today. Currently powering ML teams across the Fortune 500 as well as startups across multiple industries.The team comprises product and engineering leaders from Uber Michelangelo, Google AI, Stanford AI Lab, and Carnegie Mellon. Well funded by AI execs from Apple, & leading academics from Stanford. Due to continued growth, they are looking for a Senior Product Manager.

You can expect to:

  • You will be building first of its kind data tooling that massively improves how machine learning teams work with their data to create better models, and by extension, better outcomes for their users. 
  • This is an opportunity to join a seasoned founding team that has previously led product and engineering teams from 0 to $100M+ in revenue and from 0 to 1B+ users globally.

Skills we’re looking for:

  • A startup mindset, biasing towards thoughtful action with minimal direction. You take complete ownership and have deep empathy for the user.
  • 3+ years of experience in a growth focussed product role at a dev tools or a B2C SaaS business.
  • Have an ability to balance business acumen, strategic product planning with consistent execution.
  • Past experience building ML/Data products, or deep interest in ML/Data
  • Own the customer onboarding, engagement, and in-product monetization lifecycle
  • Drive the creation, experimentation, and optimization of product-led growth initiatives
  • Define activation, retention, up-sell revenue, and referral metrics for success and analyze the impact of growth initiatives
  • Contribute to developing a deeper culture of data analysis, research, experimentation, and sharing rapid learnings across the company

Location: 

  • Remote
Salary:
  • $230k base