Senior Product Manager, Data Quality & Observability

DataHub

Palo Alto (CA)

Remote

USD 140,000 - 200,000

Full time

14 days+

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Benefits offered by this job

Competitive compensation
Equity for everyone
Remote work
Location flexibility with coworking/at
Monthly coworking stipend

Job summary

DataHub, an AI & Data Context Platform, seeks a Senior Product Manager for Observability & Data Quality. You will own the product vision, roadmap, and strategy, collaborating with engineers, designers, sales, and partners to ship data observability and quality features that reduce fragmentation and boost reliability.

You will translate customer needs into measurable outcomes, drive GTM motions, and advocate for a unified context platform across the data ecosystem.

Qualifications

  • 4+ years of experience in product management or related function.
  • PLG or self-serve growth experience.
  • Quantitative mindset with ability to connect data to strategy.
  • Experience in the data space using data tools.

Responsibilities

  • Define the vision, goals, strategy, tactics, and roadmap for our suite of products.
  • Study, research, and understand the data ecosystem, with focus on user requirements and market potential.
  • Serve as the accountable owner for delivering measurable business and customer outcomes.
  • Create tight feedback loops with customers to evolve the product.
  • Translate ambiguous user problems into well-scoped initiatives with clear success definitions.
  • Execute cross-functionally to launch new experiences and GTM motions.
  • Inspire teams and align roadmaps with broader company goals.

Skills

Product management
Data-driven
Quantitative analysis
Cross-functional collaboration
PLG / self-serve growth

Tools

Fivetran
Snowflake
BigQuery
Redshift
dbt
Looker
PowerBI

Job description

DataHub, an AI & Data Context Platform, seeks a Senior Product Manager for Observability & Data Quality. You will own the product vision, roadmap, and strategy, collaborating with engineers, designers, sales, and partners to ship data observability and quality features that reduce fragmentation and boost reliability.

You will translate customer needs into measurable outcomes, drive GTM motions, and advocate for a unified context platform across the data ecosystem.

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