Product Manager, Data Enrichment; Durham, NC or London, UK

Hive Science is a tech start-up whose technologies are in use by many of the world’s largest brands including Land Rover, Edward Jones & numerous other fortune 500 brands. The Hive platform is delivering novel intelligence at the intersection of quantitative social psychology, behavioral science & AI/ML to accelerate & transform how work is done. We’re looking for someone to join our team and get on board this rocket ship with us.

Hive's enrichment products bring Hive intelligence to wherever customers and partners work. This spans:

• Geographic scores and segments, from hyperlocal to national
• Audience and segment enrichment
• Enhancement of customers' data
• Model-based attributes
• Datasets licensed through marketplaces and clean rooms
• Outputs ready for use in media and marketing platforms

You’ll be responsible for strategy through delivery, leading a squad building & delivering product to some of the biggest brands, agencies and software partners in the world.

• 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.

• 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,…