Staff Product Manager - Data Products

Overview

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. The ideal candidate has a deep understanding of data infrastructure, observability/analytics, and how customers and their agents consume and work with software delivery data.

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.

• Own the product strategy, platform definition, and GTM for our data products.

• 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.

• About you

• Curious: More than anything, you love learning and are able to build opinions and expertise quickly across many domains.

• Purpose-driven: The how behind all your projects is driven by a clear definition of why we're solving the problem.

• Agent-first: You’re obsessive about pushing agents to their limits and often eschew UIs in favor of agent-first interactions.

• Customer-centric: You are driven to understand customer challenges and needs, crafting solutions that provide real value.

• Product sense: You love great software and can't stand bad software. You have a strong focus on craft, quality, and the ability to deeply empathize with the end user to deliver delightful experiences.

• Systems thinker: You see how the pieces connect. You're as comfortable reasoning about an ingestion pipeline's throughput as you are about the dashboard a customer sees, and you understand how decisions at one layer ripple through the others.

• Collaborative: You excel at working with diverse teams, seamlessly bridging customer stakeholders, ecosystem partners, and product development teams.

• Effective communicator: You build strong relationships and communicate with clarity and precision. You're an incredible writer who can concisely explain complex ideas in simple ways to a wide variety of audiences.

• Adaptable: You thrive in fast-paced environments and can effectively prioritize in order to manage multiple projects at once.

• High agency: You are motivated to achieve success and have a strong sense of ownership to deliver great outcomes across a broad range of responsibilities. Even if it's not your responsibility, if you see something that needs to be done, you make sure it happens.

• Business acumen: You understand how technical solutions tie to business objectives and can align projects to meet customer and company goals.

Qualifications

• 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.
• 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.