We are looking for a Product Owner to take end-to-end ownership of our Identity data products and drive their evolution from strategy through execution.

The role focuses on improving data enrichment, quality, reliability, and deliverability while identifying new opportunities to turn data into valuable products. You will also manage relationships with external data partners, oversee data consumption and costs, and lead a specialized team focused on continuously improving the company's Identity data capabilities.

Working closely with Software Engineers, Data Scientists, and business stakeholders, you will translate business objectives into clear product requirements and build scalable, high-impact data solutions that support insights, personalization, and sustainable growth.

Key Responsibilities

1. Data Product Strategy & Roadmap

• Own the product roadmap for core Identity data products, from initial discovery and requirements definition through launch, adoption, and ongoing optimization.
• Identify opportunities to enhance existing data products and develop new data-driven solutions based on customer and business needs.
• Define product requirements around proprietary, acquired, and packaged datasets to maximize business value and product-market fit.
• Establish and monitor KPIs covering data quality, enrichment value, product usage, reliability, and cost efficiency.

2. Data Partnerships & Product Development

• Assess potential data partners and new data sources through both technical and commercial evaluation.
• Lead Proofs of Concept (POCs) to validate data quality, integration feasibility, business value, and potential product applications.
• Manage ongoing relationships with external data providers, ensuring service quality, data reliability, and effective technical integration.
• Support contract discussions, vendor negotiations, and expense management related to external data services.

3. Identity Data Platform

• Lead a specialized team of Data Scientists and Data Engineers working to improve the performance, quality, and scalability of core data capabilities.
• Drive continuous improvement across:
  • Data pipelines
  • Identity graph
  • Self-improving system architectures
• Ensure data products are reliable, scalable, and capable of supporting evolving customer and business requirements.
• Translate strategic product goals into clear priorities and actionable requirements for technical teams.

4. Cost, Performance & Data Quality

• Monitor the consumption of external data services and identify opportunities to improve cost efficiency without compromising data quality or product performance.
• Establish effective FinOps / cost management practices for data services and external data partnerships.
• Track and improve key indicators related to data enrichment, quality, usage, reliability, and operational efficiency.
• Balance product value, technical feasibility, data quality, and infrastructure costs when making product decisions.

5. Cross-functional Leadership

• Work closely with Software Engineering, Data Engineering, Data Science, and business teams to drive product initiatives from concept to delivery.
• Communicate complex data concepts and product opportunities clearly to both technical and non-technical stakeholders.
• Provide direction and mentorship to cross-functional teams while maintaining alignment around product goals and priorities.

Requirements

• 5+ years of Product Management experience, preferably working with data products, B2B SaaS, or platform products.
• Proven experience owning a product roadmap and delivering complex, data-intensive products from concept through execution.
• Strong understanding of data architecture, data pipelines, identity resolution, and machine learning / self-improving systems.
• Demonstrated experience managing data partners, vendors, commercial negotiations, and data service budgets or consumption.
• Strong ability to lead and influence cross-functional teams, including Data Scientists and Data Engineers.
• Excellent communication, presentation, and storytelling skills, with the ability to turn complex technical and data concepts into clear product direction.
• Strong product mindset with the ability to balance business value, customer needs, technical constraints, data quality, and cost.

Nice to Have

• Experience in MarTech/AdTech, particularly customer identity, first-party data, or digital marketing platforms.
• Experience working in a rapidly scaling, high-ownership, or early-stage B2B SaaS environment.
• Technical background in Data Engineering or Data Science.