LaunchDarkly
Solutions Architect
Remote Revenue role with clear candidate location fit.
PostedRecently added
Eligible countries1 accepted country
Seniority signalLead
Work settingRemote
Accepted candidate locations
USA
Role overview
Solutions Architect
Requirements and responsibilities
Readable role content extracted into sections for faster review.
Responsibilities:
- Support Professional Services engagements focused on AI-enabled and traditional software delivery, helping align customer goals with LaunchDarkly best practices.
- Partner with customers to implement feature management into their LLM-powered applications, agentic workflows, and internal AI platforms.
- Help implement rollout patterns for AI progressive exposure, guardrails, kill switches, and prompt/model experimentation in the customer's codebase, adapting existing patterns to fit each customer's context.
- Contribute to reference implementations, integrations, and prototypes alongside customer engineers writing production-quality code that demonstrates the pattern.
- Work hands-on in customer environments to instrument AI systems with LaunchDarkly at inference-time and workflow-level decision points.
- Help customers building and operating chatbots, copilots, and agent-based systems integrate LaunchDarkly into inference-time and workflow-level decisions.
- Gather detailed requirements from customer architectures and recommend solutions to a wide range of technical issues in creative, practical ways.
- Serve as a knowledgeable point of contact for engineering and platform teams during engagements, advising on day-to-day implementation questions.
- Resolve common technical obstacles that arise during engagements, escalating novel or highly complex issues as needed.
- Build working knowledge of LaunchDarkly and emerging AI delivery patterns to stay current as the landscape evolves.
- Share customer feedback with Product and Engineering teams to inform future AI-related capabilities.
About You:
- You are a self-starter and excited to take on hard problems.
- You are passionate about helping customers and have a strong sense of ownership.
- You'd rather build the thing than write a deck about it — and you can do both.
- You push back when the obvious answer is the wrong one, and you stay on a problem even when it's technically someone else's.
- You can effectively communicate with experts from different backgrounds, and build strong stakeholder relationships.
- You want to understand how systems actually work — the real version, not the marketing version — which usually means getting into the code.
Qualifications:
- 5+ years in enterprise software, platform engineering, or solutions architecture, with a hands-on, consultative approach.
- You can write production-quality code in one or more modern languages (Python, Java, JavaScript/Node.js, Go, or similar) and can independently build and ship working integrations and prototypes in a customer's repository — not just architect them.
- Hands-on experience with AI-assisted development tools (Claude Code, Cursor, or similar).
- Understanding of Model Context Protocol (MCP) or similar tool-augmented/agent-based approaches, or strong interest in learning.
- Ability to guide customers in DevOps, CI/CD, and modern release practices, including experimentation and progressive delivery.
- Experience delivering across the full SDLC in enterprise environments and leading teams through development or platform transformations.
- Strong grasp of how feature management and experimentation platforms accelerate and de-risk software delivery
- Hands-on experience with a major cloud provider (AWS, Azure, or GCP), Linux, and containers.
- Open to 20% travel.
Qualifications:
- Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $152,900 - $210,210**
- Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $137,600 - $189,200**
- Zone 3: All other US locations - $129,900 - 178,640**
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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