Staff Product Manager - Data Products

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.

Pay:

Target pay ranges based on Geographic Zones* for Level 5:

• Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $214,800 - $295,350 **
• Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $193,400 - $265,870**
• Zone 3: All other US locations - $182,600 - $251,020*

LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location.

*Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas.
**Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary.

About LaunchDarkly:

Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations.

The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by:

• Improving the velocity and stability of software releases, without the fear of end customer outages
• Delivering targeted experiences by easily personalizing features to customer cohorts
• Maximizing the business impact of every feature through the ability to experiment and optimize
• Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types
• Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability

At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com.

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Fill out this accommodations request form and someone from our People Operations team will contact you for assistance.

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