Senior Product Manager - Data

Windfall; San Francisco (CA); On-site; USD 160,000 - 210,000; Full time

Job summary

Windfall is seeking a Senior Product Manager for the Data team to build and scale data products and enrichment systems that power Windfall’s AI capabilities and customer workflows. You will partner across Engineering, Data Science, Marketing, Sales, and Customer Success and report to the VP of Product.

The role focuses on translating complex data capabilities into customer value, shaping the data product roadmap, and delivering measurable outcomes in a fast-moving environment.

Qualifications

• 5+ years of Product Management experience building data or analytics or technical SaaS products.
• Strong understanding of modern data systems, pipelines, APIs, enrichment workflows, and large-scale datasets.
• Ability to lead cross-functional initiatives and deliver measurable customer and business outcomes.
• Data-driven prioritization and decision-making.
• Translate complex technical capabilities into clear customer value.

Responsibilities

• Own key areas of the data product roadmap.
• Deliver scalable data products, enrichment capabilities, and modeled data features.
• Work with customers and internal stakeholders to identify pain points and improve workflows.
• Define product requirements and prioritize initiatives across datasets and data products.
• Drive launches and lifecycle management with impact on customer KPIs.
• Collaborate cross-functionally to align priorities and deliver business outcomes.
• Measure product performance and iterate based on feedback.
• Balance short-term execution with long-term investments.

Skills

Product Management

Data analytics

SaaS products

Data systems

Cross-functional leadership

Marketing analytics

Education

Bachelor's degree

Tools

Jira

Job description

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.

Responsibilities

• 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

Requirements

• 5+ years of Product Management experience building data products, analytics products, or technical SaaS products
• 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

Preferred Qualifications

• 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:

$160,000 - $210,000 a year

About Windfall

Windfall is a people intelligence and AI company that gives go-to-market teams actionable insights. By democratizing access to people data, organizations can intelligently prioritize go-to-market resources to drive greater business outcomes. Powered by best-in-class machine learning and artificial intelligence, Windfall activates insights into workflows that engage the right people for each respective organization. More than 1,500 data-driven organizations use Windfall to power their business. For more information, please visit www.windfall.com.

We comply with CCPA. For more information on how we comply, review our privacy notice.

Windfall is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

We may use AI tools to assist parts of the hiring process, such as reviewing applications or analyzing resumes. These tools assist our team and do not replace human judgment. Final hiring decisions are made by people.