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AcryldataAcryldataPalo Alto, CA

Senior Product Manager

Senior Product Manager responsible for defining vision, strategy, and roadmap for DataHub's AI & data context platform products. Requires 4+ years PM experience, data tools background, quantitative skills, and PLG/self-serve product expertise.

Salary not listed
Remote4+ YOEProduct Management

About the role

Responsibilities

  • Define the vision, goals, strategy, tactics, and roadmap for our suite of products
  • Study, research, and understand the data ecosystem, with a specific focus on user requirements, market potential, and competitive landscape
  • Serve as the accountable owner for delivering measurable business and customer outcomes; working closely with designers to create intuitive, elegant user experiences for technical and non-technical personas
  • Create tight feedback loops with customers who are depending on DataHub to run their data environments so that the product evolves toward the needs of these stakeholders
  • Translate ambiguous user problems into well-scoped product initiatives with clear definitions of success
  • Execute cross-functionally to launch new product experiences, improve existing features, test effectiveness of workflows, and facilitate GTM motions
  • Inspire teams of people to achieve great things together, while also tying the roadmap within a domain to broader product strategy goals and company goals

Requirements

  • 4+ years of experience in product management or related function
  • Previous experience working on Products with PLG or self-serve growth motion
  • Deeply quantitative and enjoy rolling up your sleeves and exploring the data and connecting it to strategic initiatives
  • Experience in the data space, using or building data tools
  • Excellent written and verbal communicator

Nice-to-Haves

  • Previous experience working with the modern data stack (Fivetran, Snowflake, BigQuery, Redshift, Spark, dbt, Looker, PowerBI, etc)
  • Previous experience working with data catalogs (Collibra, Alation) and metadata systems
  • Comfortable discussing, explaining and reasoning about data catalog best practices and expansion opportunities

Skills

Product ManagementProduct-Led GrowthSelf-Serve GrowthData AnalysisModern Data StackData CatalogsMetadata SystemsSnowflakeBigQuerydbtLooker
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