data.world

data.world is a collaborative data platform that enables organizations to manage, share, and leverage their data assets for improved insights and decision-making.

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🏢 Smartsheet
👥 1001-5000💰 $3,200,000,000 Post-IPO Debt 6 months ago🫂 Last layoff about 2 years agoSaaSEnterpriseSoftware
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Jobs at this company:

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📍 U.S.

🔍 Data catalog and governance

  • Proven experience (5+ years) in technical product management.
  • Strong understanding of data engineering workflows and tools/technologies, including databases, data warehouses, ETL tools, BI tools, and API integrations.
  • Skilled in gathering insights from users and stakeholders.
  • Experience balancing technical complexity with user-centric design.
  • Exceptional communication skills to articulate complex ideas.
  • Strategic problem-solver focused on achieving goals.
  • Collaborative and adaptable with a passion for building impactful products.
  • Define and drive the product strategy and roadmap for metadata collection and lineage.
  • Lead discovery efforts to identify new growth opportunities by partnering with stakeholders.
  • Conduct competitive analysis to identify differentiation opportunities.
  • Ensure metadata and lineage features are intuitive and integrated into the platform.
  • Lead enablement efforts for sales, services, and partners.
  • Collaborate with technology partnership teams to navigate integration complexities.
  • Act as a trusted partner with the engineering manager to prioritize technical roadmaps.
  • Work with design and documentation teams to meet user needs.
  • Collaborate with marketing to craft compelling product messaging.
  • Act as a technical resource for the sales team and develop customer-facing resources.

LeadershipSQLBusiness IntelligenceETLProduct ManagementCross-functional Team LeadershipData engineering

Posted 2 months ago
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📍 U.S.

🧭 Full-Time

🔍 SaaS, data catalog and governance

  • 5+ years in enterprise software or SaaS product management.
  • Strong background in data management, data governance, or analytics.
  • Experience with end-user facing UX design and complex platform builds.
  • Experience with customer discovery methodologies and customer journey mapping.
  • Proven skills in collaborating with Sales, Marketing, and Engineering.
  • Adept at balancing technical, business, and design trade-offs.
  • Ability to engage with senior leadership and present complex ideas clearly.
  • Entrepreneurial mindset with accountability and adaptability.
  • Partner with customers and internal stakeholders to understand user needs and goals.
  • Define, prioritize, and execute on product increments with Engineering and Design.
  • Coordinate with Product Marketing, Sales, and Customer Success for product enablement.
  • Employ data-informed decision making to track product success and iterate based on feedback.
  • Take full ownership of the product lifecycle and define OKRs for product areas.
  • Provide insights on market trends to guide strategic decision-making.
  • Represent the company in workshops, demos, and industry events.

Product ManagementUser Experience DesignCross-functional collaborationMarket ResearchData analyticsData managementSaaS

Posted 2 months ago
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📍 U.S.

🧭 Full-Time

🔍 Data management and analytics

  • At least 5 years in technical roles or customer-facing consulting positions.
  • 3+ years as a Solutions Architect, Solutions Consultant, or Solutions Engineer.
  • Strong technical knowledge of data catalogs and governance processes.
  • Exceptional communication ability for complex data concepts.
  • Experience developing structured training programs.
  • Robust project management skills.
  • Experience with LLMs, AI, and their applications in data management.
  • Serve as the primary technical resource for channel partners and internal Partner Account Managers (PAMs).
  • Respond to technical queries to enhance partner capabilities.
  • Develop training and certification programs for partners.
  • Create training materials and e-learning modules.
  • Represent the company at industry events and partner events.
  • Maintain regular interaction with partners to assess training needs.
  • Develop metrics to evaluate training effectiveness.
  • Travel up to 40% within the U.S. for hands-on training.

Project ManagementArtificial Intelligence

Posted 3 months ago
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