Senior Product Manager - Data

As a Senior Product Manager on the Data team, you will partner closely with leaders across Engineering, Data Science, Marketing, Sales, and Customer Success to build and scale Windfall’s proprietary data products and enrichment systems. You will report to the VP of Product. As a critical member of the Product organization, you should be comfortable operating across complex technical and analytical domains while helping evolve the data foundation that powers Windfall’s products, AI capabilities, and customer workflows. We’re on a mission to change how organizations perceive and use people data. And we hold true to our core values of: (1) Be an excellent communicator; (2) Operate with transparency; (3) Provide leverage, not optimization; (4) Win when our customers win; and (5) Act with integrity and trust.

• Help execute Windfall’s product vision and strategy by owning key areas of the data product roadmap

• Partner closely with Engineering and Data Science to deliver scalable data products, enrichment capabilities, and modeled data features • Work directly with customers and internal stakeholders to identify pain points, validate opportunities, and improve customer workflows • Define product requirements and prioritize initiatives across datasets, enrichment systems, and data products • Drive successful product launches and lifecycle management, with success measured through customer impact and product KPIs • Collaborate cross-functionally with Product, Engineering, Sales, Marketing, and Customer Success to align priorities and deliver business outcomes • Measure product performance, gather customer feedback, and iterate quickly based on customer and market learnings • Prioritize the highest leverage opportunities for the team while balancing short-term execution with long-term investments

• 4+ years of Product Management experience building data products, analytics products, or technical SaaS products; at least 2 years within a startup • Strong understanding of modern data systems, including data pipelines, APIs, enrichment workflows, and large-scale datasets • Comfortable working across complex technical and analytical domains with Engineering and Data Science teams • Demonstrated ability to understand and challenge technical concepts, trade-offs, and implementation decisions • Proven ability to lead cross-functional initiatives and deliver measurable customer and business outcomes • Strong analytical and problem-solving skills with a data-driven approach to prioritization and decision-making • Ability to translate complex technical capabilities into clear customer value • Comfortable operating in ambiguous and fast-moving environments • Strong product judgment with the ability to balance customer value, technical complexity, and speed of execution

• Domain expertise in marketing analytics, including audience segmentation, channel management, and campaign analysis • Experienced with Jira and similar tools • Bachelor's degree or equivalent demonstrated success

Additional Information:

The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across California. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. We also offer a comprehensive benefits package, which you can explore on our careers site

Compensation range:

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