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 implement feature management strategies for AI systems, including LLM-powered applications, agentic workflows, and internal AI platforms.
- Advise customers on safe rollout patterns for AI, such as progressive exposure, guardrails, kill switches, and experimentation for model behavior and prompts.
- 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.
Qualifications
- 10+ years of experience in enterprise software, platform engineering, or solutions architecture roles.
- Strong hands-on technical background with a consultative, customer-focused approach.
- Experience implementing and advising across the full software development lifecycle in enterprise environments.
- Proficiency in one or more modern programming languages, including Python, Java, JavaScript/Node.js, Go, or similar.
- Experience working with low code/no code solutions i.e. Claude Code, Cursor, Retool etc.
- Experience working with AI/ML-enabled systems, such as:
- Large Language Models (LLMs)
- Prompt-driven or agentic workflows
- Chatbots, copilots, or conversational interfaces
- Model or prompt experimentation and evaluation
- Familiarity with AI development tooling and datasets, including Python-based data workflows.
- Understanding of Model Context Protocol (MCP) or similar approaches to tool-augmented or agent-based AI systems (or strong interest in learning).
- Ability to guide customers in DevOps, CI/CD, and modern release practices, including experimentation and progressive delivery.
- Experience leading teams through development or platform transformations.
- Ability to synthesize large amounts of information and provide prescriptive technical recommendations.
- Proven ability to manage multiple concurrent engagements while prioritizing effectively.
- Experience in both pre-sales and post-sales customer engagements.
- Experience with LaunchDarkly or other feature management / experimentation platforms.
- Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP).
- Experience working with Linux, containers, and virtualized environments.
- Open to 20% travel
Compensation
Target pay ranges based on Geographic Zones for Level P5:
- Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $187,000 - $257,000
- Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $168,000 - $231,000
- Zone 3: All other US locations - $158,000 - $218,000
Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary.