AI Specialist, LaunchDarkly
$182.6-295.4k
Salary is dependent on location + RSUs
Feature management for software teams
Be an early applicant
Feature management for software teams
501-1000 employees
Be an early applicant
$182.6-295.4k
Salary is dependent on location + RSUs
501-1000 employees
Company mission
To empower all teams to deliver and control their software.
Role
Who you are
- 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
- 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
What the job involves
- 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 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
- 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
- The AI Specialist 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
Our take
Feature flags are a powerful software development tool, allowing teams to modify system behavior without changing code, therefore minimizing risk. If a business has a new feature they want to test, they can then roll it out to a small set of users before letting it go live. These companies can, for example, get quick feedback on the new feature and fix any bugs, or roll back any changes.
LaunchDarkly allows companies to run tests like this by activating the new code for only a small set of users prior to launch. Typically running these tests requires lots of developer time - a daunting and expensive prospect for most rapidly growing businesses - and can risk disruption to the user experience if testing takes place on the live product.
Demonstrating its value to businesses, the platform is used by the likes of IBM, Intuit and Atlassian. Recently it has seemed to focus on further scaling its growth as it develops towards being a leading business in the feature management space.
Freddie
Company Specialist at Welcome to the Jungle
Insights
0% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Aug 2021
$200m
SERIES D
Jan 2020
$54m
LATE VC
Total funding: $330.3m
Company benefits
- Full Vision
- Full Dental
- Full Medical
- Flexible Schedule
- Healthy Lunches & Snacks
- Conference & Meetup Access
- Education Stipend
- Personalized Work Station
- Close to Public Transportation
- Bike Parking
- Team Activities
- Unlimited paid time off policy
- Work from home opportunities
- Health insurance
Company HQ
Lakeside, Oakland, CA
Leadership
Edith Harbaugh
(Co-founder, Executive Chair & CEO)Worked as a Product Manager at Vignette, Monster Worldwide, and PlantSense. Previously Product Director at TripIt.
John Kodumal
(Co-founder & CTO)Prior to co-founding LaunchDarkly was Software Development Manager at Atlassian and Bytecode Anaylsis Architect for Coverity.
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