Staff Product Manager - Data Products

Mixpeek; United States; Sur place; USD 183 000 - 251 000; Plein temps

Résumé du poste

LaunchDarkly is seeking a Product Manager to own the end-to-end data products pipeline—from SDK data ingest to our analytics, observability, and experimentation interfaces. You will shape the vision and strategy across ingestion, platform, and customer-facing products, emphasizing data trust, timeliness, and meaningful customer outcomes.

You will lead AI-powered analysis initiatives, model data workflows, and partner with marketing, sales, and customer success to define GTM.

Qualifications

• 8+ years of product experience with data platforms, data infrastructure, analytics, or developer tools.
• Alternative: 8+ years of engineering in data-intensive systems with a product mindset and transition interest.
• We consider candidates with fewer years if they demonstrate exceptional potential or hands-on AI-powered data analysis experience.
• Proven track record of bringing data products to market and driving strategy across teams or platform areas.
• Understanding of modern data architectures: event pipelines, warehousing/lakehouse, data modeling, and scale trade-offs.
• Experience bridging platform products and end-user data products and aligning them.
• Excellent analytical, problem-solving, and decision-making skills.
• Strong communication and interpersonal skills to influence cross-functional and leadership teams.

Responsabilités

• Define and lead the product vision, strategy, and roadmap for end-to-end data products spanning ingestion, data platform, and customer-facing data products.
• Own AI-powered analysis strategy and agent experience for data products, including how insights, anomalies, and recommendations are surfaced.
• Own product strategy, platform definition, and GTM for data products.
• Treat the data pipeline as a single product ensuring coherent ingestion, processing, storage, and consumption.
• Collaborate with engineering, design, marketing, and sales to deliver high-quality products.
• Monitor industry trends and competitor products to stay ahead.
• Be the voice of the customer to address needs across decisions.
• Partner to define Go-To-Market plans for data products and features.
• Mentor and uplift other product managers and raise data-informed practices.

Connaissances

Data platforms

Data infrastructure

Observability

AI/ML insights

Cross-functional leadership

Product strategy

Communication

Description du poste

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.

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

To do so, contact People Ops at [e-mail].

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