About the company
LaunchDarkly is hiring a Senior Applied AI Specialist to revolutionize how AI engineers think about, release, monitor, and optimize their agents, scaling up AgentControl from initial market validation and product relaunch to an industry-leading product.
Responsibilities
- Bring serious, credible expertise in practical AI applications to customer conversations
- Spearhead the early-stage evaluation, implementation, and adoption of AgentControl at scale
- Partner with the AI SME team to develop and document Solutions Engineering playbooks and best practices
- Partner closely with the AI Strategy Lead and AI SME team surfacing revenue-related insights
- Lead AgentControl POVs to validate technical win and secure revenue from our largest customers
- Collaborate extensively with product and engineering teams to ensure product concepts are technically feasible
- Drive continuous improvement by monitoring product performance, user experience, and market response
- Ensure AgentControl's roadmap tracks market demand and delivers an exceptional experience for the AI developer persona
- Deliver integrations against common, quantified customer requests in the form of code contributions, architecture diagrams, and whitepapers
- Function as a key technical asset in technical partnerships with advantageous potential partners
- Publicly evangelize AgentControl at mainstream industry conferences, webinars, partner engagements, and strategic meetings
- Partner with LaunchDarkly's AI SE SME team to support broader organization enablement on AI and the AgentControl product
- Support Field Team Enablement of AgentControl
- Work with the AI Researcher, the PMM team, and the AI Strategy Lead to build and maintain competitor playbooks
Requirements
- Extensive experience with AI applications including building, implementing, or selling AI solutions at scale
- Experience building multi-agent systems using frameworks like LangGraph, AgentBuilder, or AgentCore
- Hands-on experience evaluating AI agent performance at scale using automated evaluation methods
- Deep understanding of LLM mechanics (transformer architecture)
- Experience building or interfacing with MCP (Model Context Protocol) servers
- Strong Python skills with experience building in PyTorch or TensorFlow
- Strong foundation in software engineering principles and current market trends
- Typically requires a minimum of 12 years of related experience
- Strong but loosely-held opinions about AI
- Ability to anticipate where the AI landscape is heading and position products accordingly
- Deep curiosity about how AI changes software development
- Natural storyteller who can take new technology and craft compelling narratives
- Thrive in ambiguity
Conditions
- Remote - US
- Target pay ranges based on Geographic Zones for Level 4:
- Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $214,800 - $295,350
- Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $193,400 - $265,870
- Zone 3: All other US locations - $182,600 - $251,020