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Open nowPosted 60 days ago

Senior Product Manager - Data

windfalldata13 open roles

Pay
$160,000 – $210,000 a year
Where
San Francisco
Work mode
On site
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Your applicationOpen nowSenior Product Manager - Datawindfalldata · San Francisco
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Share of postings closed within
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  2. 3.4%3 days
  3. 7.8%7 days
  4. 14.3%14 days
  5. 33.7%30 days
This job: posted 60 days ago

The posting

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:

Requirements:

Preferred Qualifications:

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.

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