LaunchDarkly
Senior Product Designer, AI Configs
Vaga remota de UX com fit claro de localização do candidato.
PublicadaAdicionada recentemente
Países elegíveis1 país aceito
Sinal de senioridadeSenior
Modelo de trabalhoRemoto
Locais aceitos para candidatos
Estados Unidos
Resumo da vaga
Senior Product Designer, AI Configs
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
About the Job:
- 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.
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.
- 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.
- 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.
- 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.
- 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.
Details
- 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.
- 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.
- 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.
- 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.
- Comfortable discussing business metrics, customer value metrics, and operational KPIs.
- Experience using usability testing and evaluative research to assess and refine designs.
- Familiarity with concepts like APIs, SDKs, agentic and developer workflows.
- Curiosity about prompts, agents, evaluations, observability and experimentation, and willingness to learn quickly.
- 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.
- 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.
About You:
- You’re energized by hard, ambiguous problem spaces and are comfortable building structure and systems where there isn’t much yet, especially in fast‑moving AI-forward domains.
- You naturally think in frameworks, patterns, and systems, not just pages or screens.
- You enjoy understanding how systems work and affect an experience. You care about detailing user journeys, value delivery, relationships and dependencies in a system.
- You gravitate toward evidence‑based design. Metrics, research, and real customer stories are part of how you reason, not just afterthoughts.
- You love collaborating with other designers and see critique and pairing as tools to get to better outcomes.
- You care about how AI tooling affects people and organizations, and you want to help teams use AI safely, responsibly, and effectively.
About You:
- 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.
Qualifications:
- 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.
- 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.
- 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.
- 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.
- 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.
Qualifications:
- Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $171,200 - $235,400*
- Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $154,100 - $211,860**
- Zone 3: All other US locations - $145,500 - $200,090 **
About LaunchDarkly:
- 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
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