Product Manager - Data Enrichment & AI Marketplaces

Hive Science LLC

Durham (NC)

Hybrid

USD 130,000 - 210,000

Full time

9 days ago

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Hybrid work

Job summary

Hive Science LLC in Durham is seeking a seasoned product leader to own the strategy, roadmap and delivery for Hive's enrichment products and external data ecosystem. You will guide a squad, collaborating with data engineers and scientists, translating opportunities into clear requirements and prioritizing features for scalable impact.

You will balance short-term revenue opportunities with durable architecture, driving metrics across coverage, quality and adoption in a fast-paced startup

Qualifications

  • Product leadership experience in similar scaled data enrichment & marketplace product delivery.
  • Experience owning technically sophisticated data, analytics, audience, research or AI products.
  • Strong understanding of data as a product, including coverage, quality, methodology, integrations, delivery and commercial packaging, not just user-interface functionality.

Responsibilities

  • Own the product strategy, roadmap and priorities for Hive's enrichment products and external data ecosystem.
  • Lead ongoing efforts to scale Hive intelligence that can be joined, enriched, licensed, delivered and activated across partner and customer environments.
  • Develop deep knowledge of the competitive ecosystem, including data providers, data marketplaces, clean rooms, audience platforms, geodemographic and segmentation providers, research platforms and activation environments.
  • Translate customer, partner and commercial opportunities into clear product requirements, technical priorities and sequencing decisions for the squad.
  • Maintain a rigorous view of the difference between a one-off customer integration and a capability worth building into the platform.
  • Drive the squad toward reusable capabilities that make each new dataset, partner and activation environment faster and cheaper to support.
  • Balance short-term revenue opportunities with the foundational architecture a durable enrichment business requires.
  • Define success metrics spanning coverage, statistical quality, latency, implementation time, reliability, usability, adoption and commercial value.
  • Work deeply enough with the science to understand differences in model validity, coverage and uncertainty across products and grains, and deeply enough with engineering to understand architectural tradeoffs.
  • Make smart product decisions when scientific quality, engineering complexity, customer requirements and speed to market are in tension.
  • Write clear product requirements and acceptance criteria while giving engineers and scientists room to determine the best technical solution.
  • Own and continuously prioritize the squad backlog around business outcomes rather than output volume.
  • Identify opportunities to extend Hive intelligence through new data partners, marketplaces, platforms, customer datasets and activation environments.
  • Work closely with commercial and partnership teams to understand what stops a customer from saying yes, whether the barrier is coverage, integration, methodology, delivery mechanism, procurement or packaging.
  • Track where the data market is moving, including privacy-safe data collaboration, clean rooms, AI-enabled enrichment, synthetic and model-based attributes, first-party data enhancement and interoperable data products.
  • Keep engineering, science, commercial and leadership aligned on what we're building, why it matters and what winning looks like.

Skills

Product leadership
Data enrichment
Market awareness
Stakeholder mgmt
Cross-functional

Job description

Hive Science LLC in Durham is seeking a seasoned product leader to own the strategy, roadmap and delivery for Hive's enrichment products and external data ecosystem. You will guide a squad, collaborating with data engineers and scientists, translating opportunities into clear requirements and prioritizing features for scalable impact.

You will balance short-term revenue opportunities with durable architecture, driving metrics across coverage, quality and adoption in a fast-paced startup

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