Senior Product Manager, AI & Data Science Products

Location: Fully remote

Salary: $160,000–$190,000 per year

Company

hirify.global provides intelligence on private companies using live private company data, AI, and market activity to help investors, dealmakers, and analysts make informed decisions.

What you will do

• Own the strategy and roadmap for the customer-facing AI data layer, including predictions, classifications, signals, and insights.
• Identify customer problems, conduct discovery, rapidly test AI data concepts, validate value, and scale successful products.
• Partner with Foundational Data to determine when needs are best addressed through collected, acquired, inferred, predicted, or generated data.
• Work with Design, Engineering, and Data Science to deliver AI data across products, APIs, MCP, and data delivery experiences.
• Define quality standards and evaluation frameworks, including reliability thresholds and the presentation of confidence and uncertainty.
• Drive adoption, positioning, launches, monetization, and measurement of usage, retention, expansion, revenue, and customer outcomes.

Requirements

• Strong product judgment across customer discovery, strategy, prioritization, experimentation, and tradeoffs.
• Strong understanding of data products and how customers derive value from proprietary data and insights.
• Practical understanding of modern AI and machine learning capabilities and limitations, with working knowledge of applied data science and machine learning.
• Ability to translate product requirements for Data Science and Engineering teams and partner closely with both functions.
• Familiarity with precision, recall, confidence, model drift, probabilistic data, imperfect data, and quality thresholds.
• Strong analytical, customer discovery, communication, and cross-functional leadership skills.
• 3+ years of experience in Product Management, Data Product Management, AI/ML Product Management, or comparable work.
• Experience owning customer-facing data science products from problem definition through launch and ongoing monitoring.
• Experience taking products from customer discovery and experimentation through scaled adoption and defining quality criteria based on customer needs.

Nice to have

• Experience with B2B SaaS, data products, APIs, intelligence platforms, or commercializing differentiated data.

Culture & Benefits

• Fully remote, full-time position.
• Inclusive culture that values diverse perspectives, transparency, and openness.
• Work focused on measurable customer value, product quality, adoption, retention, expansion, and revenue.