Product Manager: Data Products

New
United StatesFull-TimeManager
Salary not disclosed
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Job Details

Experience
5+ years
Required Skills
PythonSQLArtificial IntelligenceJavascript

Requirements

  • 5+ years of experience in Product Management, ideally within B2B SaaS, data platforms, or AI-driven environments
  • Strong technical understanding of data pipelines, ETL processes, and ability to collaborate with engineering teams working in JavaScript ecosystems
  • Proficiency in working with data analytics tools and defining requirements for dashboards and reporting systems
  • Experience leveraging large datasets to drive product decisions and innovation
  • Proven ability to work closely with sales teams and customers to translate technical capabilities into business value
  • Strong communication and stakeholder management skills across technical and non-technical audiences
  • Familiarity with SQL, Python, or similar tools for data exploration is a plus
  • Ability to thrive in fast-paced, collaborative, and highly technical environments

Responsibilities

  • Define and execute the product strategy for data solutions that enhance pre-sales performance and reduce time-to-value
  • Lead the development of automated systems to collect, process, and integrate prospect data at scale
  • Identify opportunities to streamline workflows and automate repetitive engineering and data tasks using advanced technologies such as LLMs and intelligent agents
  • Oversee the creation of analytical tools, dashboards, and reporting systems that enable data-driven decision-making and compelling business cases
  • Collaborate with stakeholders to fine-tune AI models and ensure optimal performance tailored to prospect needs
  • Drive continuous product improvement by analyzing user behavior and identifying opportunities to enhance core systems
  • Build internal tools that empower sales teams with self-service capabilities, reducing reliance on technical teams
  • Act as a key liaison across engineering, data, and commercial teams to align priorities and support deal success
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