# Staff Product Manager - Data Products at LaunchDarkly

- Company: LaunchDarkly
- What the company does: LaunchDarkly helps teams safely manage code and AI agents in production with feature flags, progressive delivery, automated rollback, and runtime control. Backed by Bessemer, Insight and 500 Global.
- Company website: https://launchdarkly.com/
- Type: Startups
- Level: Senior
- Location: Remote - US
- Work setup: Remote
- Pay: $215K to $295K base salary per year (USD)
- Posted: 2026-08-13
- Apply by: 2026-10-08
- Apply: https://job-boards.greenhouse.io/launchdarkly/jobs/7866054003
- Page: https://www.1752.vc/careers/jobs/launchdarkly-staff-product-manager-data-products/

## About the role

LaunchDarkly is seeking a creative and experienced Product Manager to lead our end-to-end data products, from SDK data ingest through our data platform to the customer-facing observability, metrics, and experimentation experiences built on top of it. You will own the vision and strategy for this entire pipeline as a coherent product, ensuring the data customers send us is trustworthy, timely, and transformed into experiences that help them ship better software.

## What they're looking for

- 8+ years of product experience, especially with data platforms, data infrastructure, analytics, or developer tools
- Alternatively, 8+ years of engineering experience in data-intensive systems with a strong product mindset and a desire to transition into a product management role
- We will consider candidates with fewer years of experience who demonstrate exceptional potential and excitement to get into the space, or who bring significant hands-on experience with AI-powered data analysis
- Proven track record of successfully 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 the trade-offs of processing data at scale
- Experience with both platform products (where the customer is internal teams or developers) and end-user-facing data products (analytics, observability, insights, experimentation), and an understanding of how the two must work together

Tags: Product