Data Product Manager — AI Insights & Agent Interface

LaunchDarkly Group

United States

Remote

USD 140,000 - 170,000

Full time

14 days+

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Job summary

LaunchDarkly Group is seeking a Product Manager to lead end-to-end data products, from SDK ingestion to the data platform and customer-facing analytics and experimentation experiences built on top of it. You will own the vision and strategy for this data pipeline, ensuring data is trustworthy, timely, and transformed into insights that help customers ship better software.

The role focuses on data infrastructure, observability/analytics, and agent interface work (CLI, MCP, Skills) within the

Qualifications

  • Experience defining product strategy for data platforms or analytics products.
  • Ability to translate customer needs into data products and features.
  • Knowledge of observability and metrics in software delivery.

Responsibilities

  • Define and lead the product vision, strategy, and roadmap for end-to-end data products.
  • Own AI-powered analysis and agent experiences for data products.
  • Treat the data pipeline as a single product spanning ingestion, processing, storage, and consumption.
  • Collaborate with engineering, design, marketing, and sales to deliver high-quality products.
  • Monitor industry trends and stay ahead of competitors.
  • Advocate for customer needs in all product decisions.
  • Partner on go-to-market plans for data products and features.

Skills

Data infra
Observability/analytics
Product strategy
Cross-functional collaboration

Tools

SQL
Python
ETL

Job description

LaunchDarkly Group is seeking a Product Manager to lead end-to-end data products, from SDK ingestion to the data platform and customer-facing analytics and experimentation experiences built on top of it. You will own the vision and strategy for this data pipeline, ensuring data is trustworthy, timely, and transformed into insights that help customers ship better software.

The role focuses on data infrastructure, observability/analytics, and agent interface work (CLI, MCP, Skills) within the

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