Staff Product Manager - Data Products and Agent Interface

LaunchDarkly provides a software delivery platform that helps engineering teams release, target, experiment on, and monitor software safely. The Staff Product Manager will own the end-to-end data product strategy, from SDK ingestion and data infrastructure through customer-facing analytics, observability, experimentation, and AI-powered agent experiences. The role also involves cross-functional leadership, go-to-market planning, customer advocacy, and mentoring other product managers.

Responsibilities:

• Define and lead the product vision, strategy, and roadmap for LaunchDarkly's end-to-end data products, spanning SDK event ingestion, our data platform, and customer-facing data products, ensuring alignment with company goals and customer requirements
• Own the strategy for AI-powered analysis of our data and the agent experience of our data products: how AI surfaces insights, anomalies, and recommendations from software delivery data, and how our data is modeled, exposed, and made consumable so that AI agents are first-class consumers alongside humans
• Treat the data pipeline as a single product: drive coherence across ingestion, processing, storage, and consumption so that every downstream experience (analytics, experimentation, insights, integrations) is built on a reliable, well-modeled foundation
• Collaborate with engineering, design, marketing, and sales teams to deliver high-quality products that meet customer needs
• Monitor industry trends and competitor products to stay ahead of the curve
• Act as the voice of the customer, ensuring their needs and pain points are addressed in all product decisions
• Partner with marketing and cross-functional teams including sales, customer success, and support to define Go-To-Market plans and strategy for data products and features
• Mentor and uplevel other product managers, and raise the bar for data-informed product practice across the organization

Requirements:

• 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
• 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
• Excellent analytical, problem-solving, and decision-making skills
• Strong communication and interpersonal skills, with the ability to collaborate effectively with and influence cross-functional teams and senior leadership
• 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