Solutions Architect
About The Job
Solutions Architects at LaunchDarkly are the core of our elite Professional Services organization, helping customers decouple deploy from release to enable rapid, reliable, and safe software delivery. As a key member of the Revenue team, you will apply your technical expertise to guide customers through transformative implementations of LaunchDarkly, acting as a trusted advisor throughout their journey.
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.
- 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.
- 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.
- 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.
Pay
Target pay ranges based on Geographic Zones* for Level 3: 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**
LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas.
Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary.