About the Job:

LaunchDarkly's Solution Engineer (AgentControl)will be at the forefront of revolutionizing how AI engineers think about, release, monitor, and optimize their agents, scaling up our AgentControl from initial market validation and product relaunch to an industry-leading product.

You will represent deep, specialized AgentControl product knowledge, sharing your expertise with prospects and customers, gathering critical feedback that shapes product development, and driving early-stage adoption. Your expertise will be instrumental in establishing the Solutions Engineering frameworks that will guide our future success.

This is a role for builders and storytellers who thrive in undefined spaces. You will be expected to build - meaning the construction of integrations, technical content, whitepapers, and tutorials, all alongside attractive demos of our product customized to strategic engagements. You'll work with the innovation coming out of LaunchDarkly's Product team and make a significant impact on how companies build and deploy AI applications.
Responsibilities:
Expert-Level Solutions/Sales Engineering

Bring serious, credible expertise in practical AI applications to customer conversations.
Spearhead the early-stage evaluation, implementation, and adoption of AgentControl at scale, working closely with existing customers to ensure activation and churn prevention (alongside feedback).
Partner with the AI SME team to develop and document Solutions Engineering playbooks and best practices that scale beyond our early customers.
Partner closely with the AI Strategy Lead and AI SME team surfacing revenue-related insights as the product is deployed.
Lead AgentControl POVs to validate technical win and secure revenue from our largest customers.

Collect and Propagate Product Feedback

Collaborate extensively with product and engineering teams to ensure product concepts are technically feasible and align with LaunchDarkly's strategic goals.
Drive continuous improvement by monitoring product performance, user experience, and market response, iterating based on actionable data and insights.
Ensure AgentControl's roadmap tracks market demand and delivers an exceptional experience for the AI developer persona.

Scale the AgentControl Business

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 (like Anthropic, DataBricks, etc...)
Publicly evangelize AgentControl at mainstream industry conferences, webinars, partner engagements, and strategic meetings

Technical Leadership & Communication

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.

Qualifications:

AI & Technical Expertise

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 (you've read 'Attention is All You Need' and can explain transformer architecture in detail)
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

Mindset & Approach

Strong but loosely-held opinions about AI-you have a point of view but update it based on evidence
Ability to anticipate where the AI landscape is heading and position products accordingly
Deep curiosity about how AI changes software development, with an obsession for staying current on new AI technology
Natural storyteller who can take new technology and craft compelling narratives that resonate with technical audiences
Thrive in ambiguity-you love figuring it out, building new processes, and working in undefined spaces

How This Role Connects

The Solution Engineer (AgentControl) operates within LaunchDarkly's broader AI organization:

You report through the AgentControl Specialist POD organization while maintaining a dotted-line relationship to the SE team.
You collaborate closely with the AI Researcher, translating their strategic insights into customer-facing conversations and surfacing field intelligence that informs research priorities
You coordinate with other AI SMEs across the SE organization to build collective expertise

How You'll Be Measured

NNARR of AgentControl
Activation - usage in terms of both volume (#AIC, #Evals) and breadth (#AI Experiments, #AI Guarded Releases)
Quality of customer feedback integrated into product development
Effectiveness of Solutions Engineering playbooks and documentation (# of enablement sessions / internal engagement (e.g. views), impact on conversion rate).
Successful early-stage implementations and measurable customer impact
Contribution to product-market fit through customer insights and technical validation

Pay:

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 - $251,0202*

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.

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