Product Manager, Data Enrichment

Hive Science LLC; Durham (NC); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Hive Science LLC is seeking a product leader to define and drive the strategy for Hive's enrichment products and external data ecosystem. You will own the roadmap, align with commercial teams and guide a squad through complex data, marketplaces and activation environments.

You will translate customer opportunities into clear requirements, balance short-term revenue with scalable architecture, and measure success across coverage, quality and latency.

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.
• Excellent product judgment and a demonstrated ability to prioritize across competing technical and commercial demands.
• Enough technical fluency to work credibly with senior data engineers, and enough quantitative fluency to work credibly with advanced modeling scientists.
• Familiarity with the consumer-data, marketing-data, geodemographic, audience-measurement or market-research ecosystem is highly desirable.
• Strong market orientation: you naturally look outward at competitors, partners, customers and emerging technologies, rather than treating the roadmap as an internally generated backlog.
• Comfort operating in a startup where the product owner creates clarity, makes choices and drives outcomes, rather than simply administering an Agile process.

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.
• 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 products

Analytical thinking

Job description

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.

What You'll Do

• 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, delivery and commercial packaging, not just user-interface functionality.
• Excellent product judgment and a demonstrated ability to prioritize across competing technical and commercial demands.
• Enough technical fluency to work credibly with senior data engineers, and enough quantitative fluency to work credibly with advanced modeling scientists.
• Familiarity with the consumer-data, marketing-data, geodemographic, audience-measurement or market-research ecosystem is highly desirable.
• Strong market orientation: you naturally look outward at competitors, partners, customers and emerging technologies, rather than treating the roadmap as an internally generated backlog.
• Comfort operating in a startup where the product owner creates clarity, makes choices and drives outcomes, rather than simply administering an Agile process.

Important details

• Location: Hybrid, 3 days a week in our London or Durham office. You must live within commuting distance.
• Employment type: Full-time.
• Work authorization: You must have an existing right to work in the UK or US, depending on the location you apply for. We're not able to offer visa sponsorship for this role.