AI Specialist
LaunchDarklyBase Salary
$183k - $295k/yr
Responsibilities
- Lead early-stage evaluation, implementation, adoption, activation, and churn prevention for AgentControl at scale.
- Lead AgentControl proofs of value to validate technical wins and secure revenue from large customers.
- Develop and document scalable Solutions Engineering playbooks and best practices with the AI SME team.
- Collect customer, product, performance, user experience, and market feedback and communicate insights to product, engineering, research, and strategy teams.
- Build customer-requested integrations, code contributions, architecture diagrams, whitepapers, tutorials, technical content, and customized product demos.
- Support technical partnerships with potential partners such as Anthropic and Databricks.
- Evangelize AgentControl through conferences, webinars, partner engagements, and strategic meetings.
- Enable field teams and the broader organization on AI and AgentControl.
- Build and maintain competitor playbooks with AI research, product marketing, and strategy teams.
Requirements
- Extensive experience building, implementing, or selling AI solutions at scale.
- Experience building multi-agent systems using frameworks such as LangGraph, AgentBuilder, or AgentCore.
- Hands-on experience evaluating AI agent performance at scale with automated evaluation methods.
- Deep understanding of LLM mechanics and transformer architecture.
- Experience building or interfacing with MCP (Model Context Protocol) servers.
- Strong Python skills and experience building with PyTorch or TensorFlow.
- Strong foundation in software engineering principles and current AI market trends.
- Ability to form and update evidence-based perspectives on AI, anticipate industry direction, communicate effectively to technical audiences, and operate in ambiguous environments.
- Typically requires a minimum of 12 years of related experience.
Benefits
- Restricted Stock Units (RSUs)
- Health, vision, and dental insurance
- Mental health benefits
Categories
About LaunchDarkly
LaunchDarkly is the runtime control layer for the AI era. For over a decade we have helped engineering teams control what ships in production, starting with feature management and evolving into the infrastructure that governs how software and AI agents behave after deploy. With CodeControl and AgentControl, teams can update agent behavior in milliseconds, automatically roll back when something drifts, and govern every agent and feature across the organization from one place. No redeploys required. LaunchDarkly processes more than 50 trillion flag evaluations per day and serves some of the most demanding engineering teams in the world, including over a quarter of the Fortune 500. Founded in 2014 in Oakland, California by Edith Harbaugh and John Kodumal, LaunchDarkly has been named to the Forbes Cloud 100 for five consecutive years, Fast Company's Most Innovative Companies list, and the Inc. 5000.