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Active4w ago

Senior Product Manager - Observability & Data Quality

DataHub·📍 Palo Alto, California, United States

Employment

Full-Time

Work mode

On-site

Experience

MID LEVEL

Salary

$185,000–$228,950 / year · Jobiba est.

Market pay estimate

$185,000–$228,950 / year for comparable Senior Product Manager roles in United States. Not employer-provided.

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Role overview

Job description

DataHub is an AI & Data Context Platform adopted by over 3,000 enterprises, including Apple, CVS Health, Netflix, and Visa. Innovated jointly with a thriving open-source community of 13,000+ members, DataHub's metadata graph provides in-depth context of AI and data assets with best-in-class scalability and extensibility. The company's enterprise SaaS offering, DataHub Cloud, delivers a fully managed solution with AI-powered discovery, observability, and governance capabilities. Organizations rely on DataHub solutions to accelerate time-to-value from their data investments, ensure AI system reliability, and implement unified governance, enabling AI & data to work together and bring order to data chaos. Senior Product Manager, Observability & Data Quality As a Senior Product Manager, for Observability & Data Quality, at DataHub, you will work cross-functionally to help guide products from

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Role market pulse

How Senior Product Manager demand looks in United States

45/100 · steady

Live jobs

115

Posted 30d

28

30d movement

-64.6%

Remote share

29.6%

Salary listed

65.2%

Salary trend 1Y

Not enough history

What they are looking for

Skills & requirements

Department · Engineering

DataHub logo

Hiring company

DataHub

Technology

DataHub, built by Acryl Data, is an AI & Data Context Platform adopted by over 3,000 enterprises including Apple, CVS Health, Netflix, and Visa. Innovated jointly with a thriving open-source community of 13,000+ members, DataHub's metadata graph provides in-depth context of AI and data assets with best-in-class scalability and extensibility. The company's enterprise SaaS offering, DataHub Cloud, delivers a fully-managed solution with AI-powered discovery, observability, and governance capabilities. Organizations rely on DataHub solutions to accelerate time-to-value from their data investments, ensure AI system reliability, and implement unified governance—enabling AI & data to work together and bring order to data chaos.

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