Product Management, Human Data Platform
Anthropic- Compensation
- $305k–$385k Published range · Top quartile for Product (104 listings)
- Location
- Hybrid - San Francisco, CA or New York City, NY, at least 25% in office Remote eligibility
- Employment
- Full-time Mid-level
About the job
About Anthropic
Anthropic's mission is to create reliable, interpretable, and steerable AI systems. It is a public benefit corporation headquartered in San Francisco.
About the Role
Anthropic's Human Data Platform team builds systems designed to collect data that improves its models, including infrastructure to simulate real-world environments and tasks, novel interfaces for data vendors, and pipelines that enable researchers to gather high-quality data at scale. The Product Manager will work alongside a quickly prototyping and shipping engineering team, make smart bets about where to focus, and ensure investment in tooling that scales, working across research teams, data ops, and external vendors.
Responsibilities
- Own the product direction for human data tooling, with clear prioritization across labeling interfaces, infrastructure investments, data quality, and operational visibility
- Partner with engineering to scope and ship quickly 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
Qualifications
- 5+ years in product management, with experience launching new products and scaling existing products
- Drawn to ambiguous, high-stakes environments where you'll play a big role in defining product strategy
- Shipped products with a deep understanding of technical constraints
- Experience working directly with research teams, ideally in AI/ML contexts
- Comfortable talking to crowdworkers about their workflow and to research teams about data quality methodology
- Interest in how humans interact with AI systems and designing experiences that elicit high-quality data
- Preferred: experience building data collection tools, annotation platforms, or human-in-the-loop pipelines; working with researchers as internal users/customers; good instincts for intuitive user experiences, particularly complex UI interactions or annotation workflows; strong project management skills
Compensation
Annual Salary: $305,000—$385,000 USD.
Logistics
Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience. Location-based hybrid policy: all staff are expected to be in one of Anthropic's offices at least 25% of the time. Visa sponsorship is available.
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