Senior Product Designer (Growth)

Role Overview

Join LaunchDarkly as a Senior Product Designer (Growth), owning the trial and activation experience for developers. You’ll improve feature discoverability, shape activation-focused roadmap decisions, and collaborate closely with product and engineering leadership.

Key Responsibilities

• Design the trial-to-paid journey, from signup through SDK integration to the first flag and conversion to a paid plan.
• Work from evidence sources including customer analytics, product funnel analysis, and insights from sales/support call and model data, then run your own research.
• Drive data-informed roadmap decisions with product and engineering leaders, accelerating activation opportunities.
• Participate in UX critique and run design discovery in a triad (before receiving a brief).
• Run end-to-end design experiments (hypothesis → prototype/ship → analyze results → iterate).

Requirements

• Growth-focused product design background (activation funnels, conversion experiments, behavioral design), not generalist product design.
• Ability to explore 0→1 problems in ambiguity and iterate quickly on an existing instrumented flow (including agentic onboarding).
• Define success upfront and be honest when results don’t support hypotheses.
• Strong understanding of developer experience for evaluation and setup: CLI usage, SDK setup, API credential management, and connection debugging.
• Ability to prioritize work that moves the business, and articulate tradeoffs between short-term activation wins and long-term product coherence.
• Ability to back design positions with evidence; strong experimentation and metric impact storytelling.
• 7+ years designing digital products with demonstrated impact on activation, conversion, or retention (with portfolio metrics and causality).
• Growth/B2B software experience in PLG/freemium/self-serve/trial-to-paid contexts.
• Ability to diagnose activation failures upstream and design solutions that hold across the funnel.
• Experience across flows with high-fidelity specs, prototypes, and written strategy, choosing the format based on the decision.
• Strong communication with design and product leadership; feedback is specific and direct.
• Experience using funnel data, activation metrics, and voice-of-customer analysis to guide decisions.
• Curiosity and strong opinions on AI agent interfaces (e.g., MCP integrations, Cursor/Copilot/Claude workflows), even if deep prior experience isn’t required.
• Ask engineering questions, read technical docs, and understand what’s hard to build.

Nice-to-Haves

• Deep AI agent interface design experience (not required, but important for agentic onboarding work).