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LaunchDarkly

Builds controls for software releases and AI agents

Vice President – Product Management

Product ManagementConfirmed live in the last 24 hours
Full-timeRemote in USARemote

About the Job

Requirements

  • A minimum of 15 years of experience in Product Management, including 7 years leading Product Managers and product leaders across a multi-product B2B platform.
  • Experience leading Product Management at the VP, SVP, or equivalent level across a multi-product B2B platform.
  • Experience leading a product management organization of 20 or more product managers at a company with approximately $100 million to $500 million in revenue.
  • A track record of building and developing a product organization rather than simply inheriting one.
  • Demonstrated ability to turn company strategy into a reliable operating system that delivers roadmap commitments and measurable business outcomes.
  • Experience working with a founder or visionary executive and converting a high volume of ideas into a sequenced, resourced portfolio.
  • Experience building products for engineering organizations and selling to CTOs, platform leaders, and data science teams.
  • Strong commercial fluency, including experience owning or materially influencing pricing, packaging, attach, expansion, and go-to-market execution.
  • Experience balancing enterprise and self-serve motions, including understanding what drives large enterprise expansion and what creates value for a developer on a free plan.
  • Practical experience using AI agents in one's own work and applying AI-native approaches to product management or software development, with clear opinions about AI's effect on product management supported by shipped work.
  • Demonstrated ability to lead through ambiguity, make decisions with incomplete information, and improve delivery speed without compromising product quality.

Responsibilities

  • Serve as the product counterpart to Engineering, Product Design, Marketing, Sales, Customer Success, and Finance; resolve cross-functional tradeoffs, establish shared commitments, and ensure the company presents a coherent product strategy to customers and the market.
  • Build and lead the product management organization by designing its structure, allocating resources, maintaining a high talent bar, building succession plans, and establishing clear ownership for every product surface.
  • Establish the product operating cadence that turns strategy into shipped software and achieved goals, including quarterly commitments, leadership reviews, squad-level inspection, launch briefs, new product introduction, and the product-to-field handoff.
  • Lead execution across the Enterprise, Foundation, Observability, Experimentation, Agent Control, and Automation product pillars, and the platform beneath them.
  • Establish portfolio discipline so new initiatives enter through explicit decisions while retaining flexibility to respond to market changes; ensure marketing dates are commitments the product organization can support.
  • Drive product iteration based on learning after version one ships, field amplification after launches, and process adoption that creates leverage for the team.
  • Own packaging execution and commercial outcomes by leading how pricing and packaging are implemented in the product and in the field.
  • Spend time with the largest customers and most demanding evaluators, translate insights into product decisions, and establish a scalable process to bring customer and field insight into the roadmap.
  • Help the organization adopt AI-assisted development and product practices to increase delivery speed while maintaining quality and judgment.

About the Company

LaunchDarkly

Builds controls for software releases and AI agents

LaunchDarkly builds software that lets engineering and product teams control released features and AI agents without shipping another version of an application. Its CodeControl product combines feature flags, which switch behavior on or off for selected users, with experimentation and tools for observing errors. AgentControl manages prompts and model settings, evaluates responses, and routes requests between models to improve output and control spending. Customers integrate the platform into their applications and pay through usage-based plans or custom enterprise contracts. Founded in 2014, LaunchDarkly is headquartered in Oakland, California.

Company size
501-1,000
Company stage
Series D
Total funding
$330.3M
Headquarters
Oakland, CA
Founded
2014

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