Product Manager, Data Enrichment (Durham, NC or London, UK)
Job Description
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.
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About the role:
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Hive's enrichment products bring Hive intelligence to wherever customers and partners work. This spans:
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- 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
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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.
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What you'll do
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- 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.
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Requirements:
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- 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.
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Additional Information:
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Important details
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- 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.
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Please apply directly on the Hive website: https://www.hivescience.ai/careers/product-manager-data-enrichment