Senior Product Manager, Recommendations Platform & Tools

Hulu Santa Monica , CA 90405

Posted 3 months ago

Hulu is a premium streaming TV destination that seeks to captivate and connect viewers with the stories they love. We create amazing experiences that celebrate the best of entertainment and technology. We're looking for great people who are passionate about redefining TV through innovation, unconventional thinking and embracing fun. It's a mission that takes some serious smarts, intense curiosity and determination to be the best. Come be part of the team that's powering play.

SUMMARY

Hulu's Personalization group is seeking a Senior Product Manager who will be an exceptional addition to our Product team. As a Senior Product Manager at Hulu, you will help in the definition, strategy, and execution of our machine learning platform with a specific eye towards how to grow Hulu's recommendations program. The right person for this role is someone who loves machine learning and can partner effectively both with highly technical engineering, research, and data science partners. Our future team member should also be able to 'zoom out,' leveraging business sense to strategize how to best harness machine learning to create wonderful customer experiences in partnership with Design, Research, our Content Acquisition team, and other Product Managers. This is not a theoretical job where your work is hidden behind the scenes-- Recommendations at Hulu drive the majority of the programs users see when they launch our app and ultimately watch. It is a key driver of our business. In this role, you will balance longer-term investment in platform tools/systems as well as immediate-return work on projects that use that platform to help us create models that ensure we're recommending the best content to our users at exactly the right time.

WHAT YOU'LL DO

  • Define strategy for engineering investment to enable machine learning and recommendations features and research. In concern with your technical (eng and research) counterparts, you'll answer questions like: How would you bootstrap faster model experimentation? How can we manage and target a large portfolio of models? What models should we be investing in?
  • Partner with data science to strategize, define, and execute on projects to improve areas such as training, measurement, and experimentation. Is our training data the right set? Given our large, changing library and our growing user base, what are the right targets for improvement?
  • Partner with other product managers, engineering teams, and designers to think through how new features will necessitate new models and changes to our platform.

WHAT TO BRING

  • BS or MS in a Computer Science or equivalent work experience

  • 5+ years of experience as a product manager

  • Experience in working on complex machine learning systems

  • Experience with machine learning at scale at a large TPS company

  • Data-oriented mindset and proven ability to use data to explore all aspects of a problem

  • Clear, logical communication skills and an ability to adjust your style based upon your audience---from non-technical to machine learning PhDs.

  • Passion for TV

  • Openness for learning-- in the machine learning space, we often find ourselves reading the latest research paper or playing with a new proof-of-concept.

NICE-TO-HAVES

  • Experience in social/entertainment space (music, video, social)
  • Hands-on experience with experimentation (such as A/B and bandit testing)
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