About The Position

LaunchDarkly’s mission is to power teams to release, measure, and control software safely and at scale. AI tooling has evolved how software is built, but developers and their teams still need the same level of release consistency and confidence that what they’re delivering to their customers is the right thing, maybe more than ever before. AI Configs is how we get there. It’s the part of the LaunchDarkly platform that acts as the operational backbone for software products built with LLMs, including: configuration, evaluation, experimentation, observability, and release management in one workflow. AI Configs helps modern software teams configure confidently, ship gradually, observe, and improve continuously. As a Senior Product Designer at LaunchDarkly you’ll work closely with another design peer on this product area, along with product management, engineering, product marketing and sales. You’ll also be part of the larger UX team, focused on ensuring that the tools that we’re building for our users are useful, beautiful, and forward-thinking. The product area you focus on will help our users to: Configure models, prompts, tools, and multi‑agent flows without redeploying code. Test and compare software behavior using offline evaluations and experiments. Observe software performance in production, detect issues, and respond rapidly. Build confidence that AI‑powered features are safe, reliable, and delivering value. You’ll move fluidly between user research, problem framing, UX strategy, interaction and UI design, and iterative delivery. You’ll regularly connect design decisions to business outcomes and customer value, and you’ll help define what this new product offering at LaunchDarkly will be.

Requirements

  • Must be authorized to work in the US or Canada (no visa sponsorship or relocation offered at this time).
  • Ability to collaborate during core hours overlapping Pacific Time.
  • Occasional travel (up to ~10%) for team onsites, planning sessions, or customer visits.
  • Portfolio required with examples of complex workflows, systems thinking, and clear outcome stories.
  • 6–8+ years designing complex, shipped products, ideally in developer tools, AI tooling or configuration‑heavy B2B SaaS.
  • Strong foundations in user interface and interaction design, information architecture, and systems design for multi‑state, rules‑based, or highly configurable products.
  • Proven experience leading end‑to‑end design efforts: from discovery and problem definition through concepting, prototyping, validation, implementation, and iteration.
  • Demonstrated ability to connect design decisions to metrics:
  • Comfortable discussing business metrics, customer value metrics, and operational KPIs.
  • Experience using usability testing and evaluative research to assess and refine designs.
  • Comfort working in technical and AI‑adjacent domains:
  • Familiarity with concepts like APIs, SDKs, agentic and developer workflows.
  • Curiosity about prompts, agents, evaluations, observability and experimentation, and willingness to learn quickly.
  • Excellent communication and storytelling skills:
  • Can clearly explain current vs. future state, key decision points, and tradeoffs.
  • Can initiate and facilitate discussions that bring PM, Engineering, and other stakeholders into alignment.
  • A portfolio that demonstrates:
  • Systems‑level thinking and strong user interface and interaction design.
  • Clear narratives around problem, approach, decisions, and impact.
  • At least one example of 0 to 1 product work and one example of an iterative improvement to an existing workflow.

Responsibilities

  • Design for key developer workflows across the software engineering lifecycle, with a focus on software teams building with AI.
  • Map and clarify complex workflows in order to identify current experience flaws and opportunities for improvement.
  • Drive user research: plan and run discovery through to validation research, synthesize findings, and turn insights into clear problem statements and opportunity areas for the product team.
  • Help to define the user experience strategy and current to future state narratives for your areas of ownership. Clearly explain the tradeoffs in each path and why specific decisions matter.
  • Design for the LaunchDarkly platform by establishing reusable patterns, not just screens: user journeys, information architecture, interaction patterns, and visual design that scales as the AI Configs product area grows alongside the rest of the LaunchDarkly product suite.
  • Deliver high‑quality design artifacts (for example: user flows, wireframes, prototypes, mock-ups) that support fast iteration with your engineering partners while maintaining high standards of clarity and craft. Your design foundations are already very strong.
  • Be comfortable with iterating quickly on existing surfaces to unlock near‑term value, while also exploring visionary ways to achieve and influence team goals and product strategy.
  • Ground design decisions in evidence:
  • Partner with your product management partners, and our Data & Analytics to define success metrics and dashboards.
  • Utilize usability testing, evaluative research, experimentation and product analytics to validate and adjust design approaches.
  • Collaborate deeply in the triad model:
  • Work closely with product management and engineering on project scope, sequencing, and tradeoffs.
  • Pair regularly with your design partner on the AI Configs team and the UX team at large to share patterns, critique, and ensure a cohesive experience.
  • Determine how success will be measured for your work:
  • Define the metrics and signals that indicate success (e.g. task success, activation, reduced time‑to‑remediation, increased adoption).
  • Help monitor and interpret those signals with the team after launch.
  • Contribute to the broader UX team:
  • Bring AI Configs‑specific patterns and principles into the design system where appropriate.
  • Find ways to connect experiences across the LaunchDarkly product suite.
  • Participate in critiques, share learnings from AI Configs work and research, and mentor others informally.

Benefits

  • Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary.
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