About the Job:
LaunchDarkly’s AI Specialist will be at the forefront of revolutionizing how AI engineers think about, release, monitor, and optimize their agents, scaling up our LaunchDarkly for AI from initial market validation to an industry-leading product.
You will represent deep, specialized LD4AI 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
- Represent the trustworthiness and confidence of serious expertise in practical AI applications in customer conversations (especially as an escalation point above an SE SME)
- Spearhead the early-stage implementation and adoption of LD4AI at scale, working closely with existing customers to ensure activation and churn prevention (alongside feedback)
- Develop and document Solutions Engineering playbooks and best practices that scale beyond our first customers
- Function as a tremendous partner to the LD4AI Chief of Staff, surfacing revenue-related insights with respect to the maturation of the product accordingly
- Support LD4AI POVs ran by on-the-ground SEs
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
- Confirm that LD4AI’s roadmap adheres to market demand and deliver exceptional user experiences, especially for the AI developer persona – vocalizing objections with data
Build LD4AI Into The World
- Deliver integrations against common, quantified customer requests in the form of code contributions, architecture diagrams, and whitepapers
- Function as a key technical asset in (with the Head of AI and the partnership team) technical partnerships with advantageous potential partners (like Anthropic, DataBricks, etc…)
- Publicly evangelize LD4AI at mainstream industry conferences, webinars, partner engagements, and strategic meetings
Technical Leadership & Communication
- Function as the primary owner of the disbursement of enablement material to the SE team, particularly to the designated by team/region SE LD4AI SMEs (for which you have partial, dotted-line accountability)
- Co-own Revenue Enablement of LD4AI along with the Head of AI and the LD4AI tetrad
- Work with the AI Researcher, the PMM team, and the Head of AI to build and maintain competitor playbooks
Qualifications:
AI & Technical Expertise
- This role requires a minimum of 12 years of related technical experience
- Extensive experience with AI applications—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
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
Pay:
Target pay ranges based on Geographic Zones* for Level 5:
- Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $191,000 - $263,000**
- Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $172,000 - $237,000**
- Zone 3: All other US locations - $163,000 - $224,000**
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.
About LaunchDarkly:
Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations.
The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by:
- 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
At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com.
Do you need a disability accommodation?
Fill out this accommodations request form and someone from our People Operations team will contact you for assistance.