# AI Specialist ## Summary - Organization: LaunchDarkly - Location: Remote - Type: Full-Time - Department: Engneering - Status: active - Posted: [object Object] - Updated: [object Object] - Closing Date: N/A - External Apply: Yes - External Apply URL: https://job-boards.greenhouse.io/launchdarkly/jobs/7619877003 ## Details - Salary: N/A - Experience: 12 years - Education: N/A - Team: N/A - Reporting To: N/A ## Description **About the job** LaunchDarkly’s AI Specialist will be at the forefront of revolutionising how AI engineers think about, release, monitor, and optimise their agents, scaling up our LaunchDarkly for AI from initial market validation to an industry-leading product. You will represent deep, specialised 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 customised 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 run 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 delivers exceptional user experiences, especially for the AI developer persona –vocalising objections with data - Remote - US **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 evangelise 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 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,s in addition to salary. **About LaunchDarkly** Modern software delivery was supposed to be the foundation for a thriving digital business, ss 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 amaximiseize 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 personalising features to customer cohorts Maximising the business impact of every feature through the ability to experiment and optimise Coordinating the release and optimisation 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 obased onrace, religion, colour, 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. ## Responsibilities None ## Skills None ## Tags None ## Organization - Name: LaunchDarkly - Website: https://launchdarkly.com - Industry: Software Development - Size: 501-1,000 employees - Founded Year: N/A - Description: LaunchDarkly isn’t just a leader in feature management — it’s the first scalable feature management platform. Feature management allows development teams to innovate faster by fundamentally transforming how software is delivered to customers. With the ability to gradually release new software features to any segment of users on any platform, DevOps teams can standardize safe releases at scale, accelerate their journey to the cloud and collaborate more effectively with business teams. Today, LaunchDarkly deploys peaks of 20 trillion feature flags each day, and that number continues to grow. Founded in 2014 in Oakland, California by Edith Harbaugh and John Kodumal, LaunchDarkly has been named on the Forbes Cloud 100 list, InfoWorld’s 2021 Technology of the Year list, and the Enterprise Tech 30 list.