Twitter Staff Product Manager - Machine Learning Platform in New York, New York
The Machine Learning Platform group sits within Cortex, Twitter’s centralized Machine Learning organization. They provide the libraries that product teams use to build high performance, high impact, unbiased Machine Learning services at scale, as well as tools that help make Machine Learning practitioners within those teams more effective.
This Product Manager will collaborate with Machine Learning product teams across the company to gather insights and find opportunities for us to improve the ML Platform tools and libraries that we provide. They will help us craft a long-term vision for what the ideal ML Platform for Twitter looks like as well as a roadmap to get us there. Collaborating closely with engineering and product teams, they'll work to make sure that we are solving for the needs of the organization in the future, not just those of today, and take responsibility for making that vision a reality.
We’re looking for an experienced technical product manager with domain expertise in Deep Learning and building production infrastructure at scale who will develop and execute on a long-term strategy for accelerating development of reliable, performant and fair Machine Learning services at Twitter. They should have both a deep technical background and a strong, customer-centric approach to product management, which they will have repeatedly demonstrated through past projects. As the Machine Learning Platform group is a part of our centralized Machine Learning organization, you should also be experienced with crafting roadmaps that serve internal customers and be able to use a strong toolbox of tried and tested processes for ensuring effective communication and teamwork across organizations.
5+ years of prior product management experience within an infrastructure or platform team.
8-10 years of overall product management or other related experience.
Technical expertise in Deep Learning, with experience in building libraries and tooling for both production and experimentation infrastructure at scale.
Outstanding written and verbal communication skills.
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San Francisco applicants: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.