Product Management, Human Data Platform

The shape of it

In the posting’s own words

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. 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 think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

What it asks for · 7

• 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 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
• Experience working directly with research teams, ideally in AI/ML contexts
• Are equally comfortable talking to crowdworkers about their workflow and to research teams about data quality methodology
• 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

Also a plus

• Experience building data collection tools, annotation platforms, or human-in-the-loop pipelines
• Experience working with researchers who are internal users/customers
• Good instincts and an eye for intuitive user experiences, particularly those involving complex UI interactions or annotation workflows
• Strong project management skills: prioritization, communicating across team/org boundaries
• Have 5+ years in product management, with experience launching new products and scaling existing products.
• Intellectual curiosity without ego: Comfortable not knowing things and asking questions to learn
• 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

What the job covers

• Own the product direction for our human data tooling, with clear prioritization across labeling interfaces, infrastructure investments, data quality, and operational visibility
• Partner with engineering to scope and ship quickly, staying close to the work 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
• Identify patterns across one-off requests and push toward reusable infrastructure that compounds over time
• Sit in on crowd worker and vendor sessions to systematically understand pain points
• Define and track outcome-based KPIs: time-to-launch for new data collection projects, end-to-end data quality scores, and measurable impact on model evaluation scores

Tools and skills named

Words the posting leans on

• data13×
• product9×
• experience6×
• research5×
• systems5×
• researchers4×
• tooling4×
• data quality3×
• infrastructure3×
• quickly3×
• technical3×
• understand3×
• vendors3×
• annotation2×
• build2×
• clear2×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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