# Staff Product Manager - Data Products and Agent Interface

**Company:** [Launchdarkly](https://hotfix.jobs/companies/launchdarkly)
**Location:** Remote
**Role:** Product Management
**Salary:** $183k – $295k/yr
**Experience:** 8+ years
**Skills:** Data Platforms, Data Infrastructure, Analytics, Developer Tools, event streaming, Data Warehousing, Data Modeling, lakehouse, Observability, Experimentation, AI, mcp, cli, SDKs
**Posted:** 2026-08-13

> 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.

## Job Description

## 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.

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