Product Management, Human Data Platform

Anthropic; New York (NY); On-site; USD 305,000 - 385,000; Full time

Job summary

Anthropic is seeking a product expert for their Human Data Platform team to guide product direction for data tooling. This role involves partnering with engineering teams, defining KPIs, and translating complex needs into actionable product strategy in a fast-paced environment.

The ideal candidate values knowledge, autonomy, and has experience with AI research teams, focusing on maximizing data quality and product effectiveness.

Qualifications

• Experience shipping products while understanding technical constraints.
• Able to work with crowd workers and research teams effectively.
• Interest in designing AI interactions for high-quality data.

Responsibilities

• Own the product direction for human data tooling with prioritized investment.
• Partner with engineering to scope and ship quickly in prototyping.
• Define and track outcome-based KPIs for data collection projects.

Skills

Understanding AI systems

Collaboration with research teams

Project management skills

Understanding technical constraints

Intuitive user experience design

Job description

About the Role

Anthropic's Human Data Platform team builds systems designed to collect data that improves our models. This includes the infrastructure to simulate real-world environments and tasks, novel interfaces for data vendors to use, and the pipelines that enable researchers to gather high-quality data at scale. As Claude's real-world usage evolves, so do our data needs — and our tooling has to keep pace. You'll work alongside an engineering team that's quickly prototyping and shipping, help make smart bets about where to focus, and ensure we're investing in tooling that scales. You'll work across research teams, data ops, and external vendors, translating what you learn into clear direction on what to build next.

Responsibilities

• 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

You May Be a Good Fit If You

• 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
• Have 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

Strong Candidates May Also Have

• 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

The Ideal Candidate Has The Following Virtues/Values

• 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
• Product creativity: Ability to see novel product opportunities emerging from research capabilities
• Founder mentality: Track record of doing whatever it takes to ship highly technical products

Annual Salary

$305,000—$385,000 USD