Data Product Manager (AI)

Location: New York City, United States; hybrid

Salary: $200,000–$250,000 per year plus equity

Company

hirify.global is a startup discovery engine that maps the startup landscape and provides discovery tools for investors, corporate development, and go-to-market teams.

What you will do

• Own the data roadmap, prioritizing improvements that affect customer discovery, evaluation, and decision-making.
• Define the strategy for acquiring data through collection, partnerships, user contributions, and derived insights.
• Work with engineering to reconcile conflicting evidence, resolve company and person identities, and model relationships and changes over time in a knowledge graph.
• Define evaluations for data accuracy, coverage, and freshness; establish baselines, launch criteria, and regression monitoring.
• Lead new data capabilities from initial scope through adoption, including company–investor relationships, cap table and revenue data, and AI agents for structured extraction.
• Investigate customer and internal data issues, distinguish failures in collection, extraction, matching, or modeling, and prioritize systemic fixes.

Requirements

• 5+ years of product management experience, including recent ownership of data products. Demonstrate how product decisions improved customer capabilities and underlying data metrics.
• Experience working with company, people, or financial data and investigating conflicting information across large datasets.
• Technical fluency in ingestion, extraction, entity resolution, and classification, with the ability to independently investigate data and make tradeoffs among accuracy, coverage, freshness, latency, and cost.
• Experience building or owning evaluation frameworks, including representative sampling, ground truth, and decisions about whether an improvement is ready to ship.
• Ability to make clear roadmap decisions under uncertainty and define useful first releases before every question is answered.
• Ability to investigate customer workflows or disputed records directly and verify whether shipped solutions resolve the underlying problem.

Nice to have

• Experience at a private-market data provider or building data-intensive workflows for investors.
• Early-stage B2B experience.

Culture & Benefits

• Work closely with the Head of Product, engineering, data operations, product, and go-to-market teams.
• Hybrid work in New York City.
• Equity offered as part of compensation.
• Work on data products used by investors, corporate development, and go-to-market teams, as well as hirify.global's AI agent Scout.