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Staff Product Manager - Data Products

LaunchDarkly· Product
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Hybrid (US (Remote))$182.6k - $251kFull-timePosted 2mo ago

About the role

LaunchDarkly is seeking a creative and experienced Product Manager to lead end-to-end data products from SDK data ingest through the data platform to customer-facing observability, analytics, and experimentation experiences. Own the vision and strategy for the entire data pipeline, ensuring data is trustworthy, timely, and transformed into experiences that help customers ship better software.

Responsibilities

  • Define and lead the product vision, strategy, and roadmap for end-to-end data products (SDK event ingestion, data platform, and customer-facing data products)
  • Own the strategy for AI-powered analysis of data and the agent experience of data products (AI-surfaced insights, anomalies, recommendations; data modeling and exposure for AI agents)
  • Own product strategy, platform definition, and GTM for data products
  • Treat the data pipeline as a single product (coherence across ingestion, processing, storage, and consumption)
  • Collaborate with engineering, design, marketing, and sales to deliver high-quality products
  • Monitor industry trends and competitor products
  • Act as voice of the customer in product decisions
  • Partner with marketing, sales, customer success, and support for GTM plans and strategy
  • Mentor and uplift other product managers and promote data-informed product practice

Qualifications

  • 8+ years of product experience, especially with data platforms, data infrastructure, analytics, or developer tools; or 8+ years of engineering experience in data-intensive systems with a product mindset (potential for exceptional candidates with AI-powered data analysis experience)
  • Proven track record of bringing data products to market and driving strategy across multiple teams or a platform-scale product area
  • Strong understanding of modern data architectures: event/streaming pipelines, data warehousing and lakehouse patterns, data modeling, and scale processing trade-offs
  • Experience with platform products and end-user-facing data products and understanding how they must work together
  • Excellent analytical, problem-solving, and decision-making skills
  • Strong communication and interpersonal skills with cross-functional and senior leadership collaboration

Skills

Required:Product managementData architectureCross-functional leadershipCommunication
Nice to have:AI/ML for data products

Benefits

  • RSUs
  • health, vision, and dental insurance
  • mental health benefits
  • Within the United States, geographic pay zones defined by counties around major metropolitan areas
Last updated Sep 16, 2026. Interested? Apply on the company site.
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