LaunchDarkly
Senior Solutions Architect
Rol remoto de Revenue con fit claro de ubicación del candidato.
PublicadoAgregado recientemente
Países elegibles1 país aceptado
Señal de seniorityLead
Modelo de trabajoRemoto
Ubicaciones aceptadas para candidatos
Estados Unidos
Resumen del rol
Senior Solutions Architect
Requisitos y responsabilidades
Contenido del rol extraído en secciones para revisar más rápido.
Responsibilities:
- Lead complex Professional Services engagements focused on AI-enabled and traditional software delivery, aligning customer goals with LaunchDarkly best practices.
- Partner with customers to design and build feature management into their LLM-powered applications, agentic workflows, and internal AI platforms.
- Design and help implement safe rollout patterns for AI — progressive exposure, guardrails, kill switches, and prompt/model experimentation — directly in the customer's codebase.
- Build reference implementations, integrations, and prototypes alongside customer engineers — writing production-quality code that demonstrates the pattern, not just a slide describing it.
- Work hands-on in customer environments to instrument AI systems with LaunchDarkly at inference-time and workflow-level decision points.
- Support customers building and operating chatbots, copilots, and agent-based systems, helping them integrate LaunchDarkly into inference-time and workflow-level decisions.
- Apply a consultative approach to understand customer architectures, gather detailed requirements, and influence key technical and organizational decisions.
- Act as a trusted technical advisor to engineering, platform, DevOps, and AI leaders.
- Identify and resolve technical obstacles that hinder value realization, particularly in complex, distributed, or AI-driven systems.
- Establish yourself as a subject matter expert on LaunchDarkly and emerging AI delivery patterns, continuously evolving your expertise as the landscape changes.
- Advocate for customers by synthesizing feedback and collaborating with Product and Engineering teams to shape 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:
- 4+ 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 - $171,000 - $235,400**
- Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $154,000 - $211,000**
- Zone 3: All other US locations - $145,000 - $200,000**
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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