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LaunchdarklyLaunchdarklyUnited States

Staff Product Manager - Data Products and Agent Interface

Leads strategy and execution for LaunchDarkly’s end-to-end data products, including ingestion, platform infrastructure, analytics, observability, experimentation, and agent interfaces. Requires 8+ years of product or data-intensive engineering experience and expertise in modern data architectures.

183k – 295k/yr
Remote8+ YOEProduct Management

About the role

Responsibilities

  • Define and lead the product vision, strategy, and roadmap for end-to-end data products spanning SDK event ingestion, the data platform, and customer-facing data products.
  • Own the strategy for AI-powered analysis and agent experiences, including how AI surfaces insights, anomalies, and recommendations from software delivery data.
  • Make the data pipeline a coherent product across ingestion, processing, storage, and consumption.
  • Collaborate with engineering, design, marketing, sales, customer success, and support teams to deliver products and define go-to-market strategy.
  • Monitor industry trends and competitor products.
  • Act as the voice of the customer and address customer needs in product decisions.
  • Mentor and develop other product managers and improve data-informed product practices.

Requirements

  • 8+ years of product experience, particularly with data platforms, data infrastructure, analytics, or developer tools; alternatively, 8+ years of engineering experience in data-intensive systems with a strong product mindset.
  • Proven track record bringing data products to market and driving strategy across multiple teams or a platform-scale product area.
  • Strong understanding of event and streaming pipelines, data warehousing, lakehouse patterns, data modeling, and large-scale processing trade-offs.
  • Experience with platform products and end-user-facing data products such as analytics, observability, insights, and experimentation.
  • Excellent analytical, problem-solving, decision-making, communication, and interpersonal skills.
  • Ability to collaborate with and influence cross-functional teams and senior leadership.

Compensation and Benefits

  • Zone 1: $214,800 - $295,350 for San Francisco/Bay Area, NYC Metropolitan Area, Boston, and Seattle.
  • Zone 2: $193,400 - $265,870 for Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, and Chicago.
  • Zone 3: $182,600 - $251,020 for all other US locations.
  • Compensation may vary based on skills, experience, and location.
  • Benefits include restricted stock units, health, vision, and dental insurance, and mental health benefits.

Skills

Data PlatformsData InfrastructureAnalyticsDeveloper Toolsevent streamingData WarehousingData ModelinglakehouseObservabilityExperimentationAImcpcliSDKs

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