Product Manager — AI Data Platform & Tooling

Anthropic Limited; New York (NY); Hybrid; USD 305,000 - 385,000; Full time

Job summary

Anthropic seeks a senior product leader for its Human Data Platform to shape tooling that collects and improves data for model training. You will guide labeling interfaces, data pipelines, and quality metrics while collaborating with research teams and external vendors.

You’ll work in a fast-moving environment to translate research needs into scalable tooling, prioritizing impact and efficiency for ongoing data collection initiatives.

Qualifications

• 5+ years in product management with launching and scaling products.
• Experience working with AI/ML research teams.
• Ability to translate research needs into tooling requirements.
• Strong prioritization and project management skills.

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, 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.

Skills

Product management

Cross-functional collaboration

Data tooling understanding

User research

Education

Bachelor’s degree

Job description

Anthropic seeks a senior product leader for its Human Data Platform to shape tooling that collects and improves data for model training. You will guide labeling interfaces, data pipelines, and quality metrics while collaborating with research teams and external vendors.

You’ll work in a fast-moving environment to translate research needs into scalable tooling, prioritizing impact and efficiency for ongoing data collection initiatives.