Product Management (Human Data Platform)

Join Anthropic's Human Data Platform team as a Product Manager. You'll be responsible for driving the product direction of our human data tooling, working closely with engineering, research teams, data ops, and external vendors. You'll have the opportunity to make a significant impact on the development of advanced AI systems.

• Own the product direction for human data tooling, prioritizing across labeling interfaces, infrastructure investments, data quality, and operational visibility.
• Work closely with engineering to scope and ship quickly, staying engaged in a fast-moving prototyping environment.
• Develop a deep understanding of research and training approaches to identify where tooling investments will have the highest leverage.
• Are drawn to ambiguous, high-stakes environments where you’ll play a big role in defining the product strategy
• Shipped products where they had to deeply understand technical constraints, not just translate requirements
• Are a quick study—this team sits at the intersection of a large number of different complex technical systems that you'll need to understand (at a high level) to be effective
• Have an interest in how humans interact with AI systems and how to design experiences that elicit high-quality data
• Believe that advanced AI systems could have a transformative effect on the world and are interested in helping make sure that transformation goes well
• Are equally comfortable talking to crowdworkers about their workflow and to research teams about data quality methodology
• Experience working directly with research teams, ideally in AI/ML contexts
• Experience working with researchers who are internal users/customers
• Experience building data collection tools, annotation platforms, or human-in-the-loop pipelines
• Strong project management skills: prioritization, communicating across team/org boundaries
• Good instincts and an eye for intuitive user experiences, particularly those involving complex UI interactions or annotation workflows
• Autonomous learning: Able to independently figure out how systems work and develop expertise quickly
• Researcher EQ: Deep understanding of how researchers think and what motivates them
• Founder mentality: Track record of doing whatever it takes to ship highly technical products
• Product creativity: Ability to see novel product opportunities emerging from research capabilities
• Intellectual curiosity without ego: Comfortable not knowing things and asking questions to learn
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
• Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work
• We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed