Senior Data Product Manager — AI-Driven Insights

IV.AI

United States

On-site

USD 120,000 - 180,000

Full time

13 days ago
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Job summary

IV.AI is seeking a Product Manager to own a core data product line, spanning consumer panel data and web intelligence capture. You will turn raw data into client-ready insights, working closely with engineering on schemas, pipelines, and quality criteria.

You’ll manage the roadmap, define dashboards, and drive measurable outcomes for blue-chip clients. You’ll collaborate with cross-functional teams, using AI tools in your workflow and leveraging Linear/Notion for planning and documentation.

Qualifications

  • Bachelor's degree and 4-6+ years in a product management role or equivalent hybrid role.
  • Strong technical and data fluency; able to read SQL and discuss data contracts with engineers.
  • Experience owning a product end-to-end, delivering measurable outcomes.
  • Data-driven decision making using metrics (funnel, quality, usage).
  • Excellent written communication for specs, dashboards, and updates.

Responsibilities

  • Own the data product line roadmap, from data capture to client insights.
  • Define schemas, pipelines, and validation logic with engineering for data quality.
  • Instrument and monitor key metrics; drive the roadmap based on insights.
  • Translate data capability into client-facing insights and dashboards.

Skills

SQL fluency
Data pipelines
Data contracts
Architecture discussion
Written communication
PM tooling
AI tooling usage

Education

Bachelor's degree

Tools

Linear
Notion
BigQuery
PostgreSQL

Job description

IV.AI is seeking a Product Manager to own a core data product line, spanning consumer panel data and web intelligence capture. You will turn raw data into client-ready insights, working closely with engineering on schemas, pipelines, and quality criteria.

You’ll manage the roadmap, define dashboards, and drive measurable outcomes for blue-chip clients. You’ll collaborate with cross-functional teams, using AI tools in your workflow and leveraging Linear/Notion for planning and documentation.

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