{"id":232184,"url":"https://alion.io/job/launchdarkly-solutions-engineer-ai-focus","title":"Solutions Engineer - AI Focus","company":{"id":7699,"name":"LaunchDarkly","domain":"launchdarkly.com","url":"https://alion.io/company/launchdarkly","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":91,"open_postings":7,"ghost_share":0,"stale_share":0.143,"repost_share":0,"time_to_fill_p50_days":72,"computed_at":"2026-09-28T05:45:00Z"}},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":214800,"max":295350,"currency":"USD","period":"year","gross":null,"usd_annual":295350},"salary_estimate":null,"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"AWS Bedrock AgentCore","optional":false},{"name":"Databricks","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorFlow","optional":false},{"name":"LangChain","optional":true}],"status":"live","first_seen_at":"2026-07-10T16:17:45Z","employer_posted_date":"2026-08-14","last_verified_at":"2026-09-29T01:22:51Z","board_verified":true,"closed_at":null,"days_open":80,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":80},"description":"About the Job:\nLaunchDarkly’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.\nYou 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.\nThis 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.\nResponsibilities:\nExpert-Level Solutions/Sales Engineering \nBring serious, credible expertise in practical AI applications to customer conversations. \nSpearhead the early-stage evaluation, implementation, and adoption of AgentControl at scale, working closely with existing customers to ensure activation and churn prevention (alongside feedback).\nPartner with the AI SME team to develop and document Solutions Engineering playbooks and best practices that scale beyond our early customers.\nPartner closely with the AI Strategy Lead and AI SME team surfacing revenue-related insights as the product is deployed.\nLead AgentControl POVs to validate technical win and secure revenue from our largest customers.\nCollect and Propagate Product Feedback\nCollaborate extensively with product and engineering teams to ensure product concepts are technically feasible and align with LaunchDarkly's strategic goals.\nDrive continuous improvement by monitoring product performance, user experience, and market response, iterating based on actionable data and insights.\nEnsure AgentControl's roadmap tracks market demand and delivers an exceptional experience for the AI developer persona.\nScale the AgentControl Business\nDeliver integrations against common, quantified customer requests in the form of code contributions, architecture diagrams, and whitepapers\nFunction as a key technical asset in technical partnerships with advantageous potential partners (like Anthropic, DataBricks, etc…)\nPublicly evangelize AgentControl at mainstream industry conferences, webinars, partner engagements, and strategic meetings\nTechnical Leadership & Communication\nPartner with LaunchDarkly’s AI SE SME team to support broader organization enablement on AI and the AgentControl product. \nSupport Field Team Enablement of AgentControl. \nWork with the AI Researcher, the PMM team, and the AI Strategy Lead to build and maintain competitor playbooks.\nQualifications: \nAI & Technical Expertise\nExtensive experience with AI applications including building, implementing, or selling AI solutions at scale\nExperience building multi-agent systems using frameworks like LangGraph, AgentBuilder, or AgentCore\nHands-on experience evaluating AI agent performance at scale using automated evaluation methods\nDeep understanding of LLM mechanics (you've read 'Attention is All You Need' and can explain transformer architecture in detail)\nExperience building or interfacing with MCP (Model Context Protocol) servers\nStrong Python skills with experience building in PyTorch or TensorFlow\nStrong foundation in software engineering principles and current market trends\nTypically requires a minimum of 12 years of related experience\nMindset & Approach\nStrong but loosely-held opinions about AI-you have a point of view but update it based on evidence\nAbility to anticipate where the AI landscape is heading and position products accordingly\nDeep curiosity about how AI changes software development, with an obsession for staying current on new AI technology\nNatural storyteller who can take new technology and craft compelling narratives that resonate with technical audiences\nThrive in ambiguity-you love figuring it out, building new processes, and working in undefined spaces\nHow This Role Connects\nThe Solution Engineer (AgentControl) operates within LaunchDarkly's broader AI organization:\nYou report through the AgentControl Specialist POD organization while maintaining a dotted-line relationship to the SE team.\nYou collaborate closely with the AI Researcher, translating their strategic insights into customer-facing conversations and surfacing field intelligence that informs research priorities\nYou coordinate with other AI SMEs across the SE organization to build collective expertise\nHow You'll Be Measured\nNNARR of AgentControl\nActivation - usage in terms of both volume (#AIC, #Evals) and breadth (#AI Experiments, #AI Guarded Releases)\nQuality of customer feedback integrated into product development\nEffectiveness of Solutions Engineering playbooks and documentation (# of enablement sessions / internal engagement (e.g. views), impact on conversion rate).\nSuccessful early-stage implementations and measurable customer impact\nContribution to product-market fit through customer insights and technical validation\nPay:\nTarget pay ranges based on Geographic Zones* for Level 4: \nZone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $214,800 - $295,350*\nZone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $193,400 - $265,870**\nZone 3: All other US locations - $182,600 - $251,0202*\nLaunchDarkly 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.\n*Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas.\n**Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary.\nAbout LaunchDarkly:\nModern 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. \nThe LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by:\nImproving the velocity and stability of software releases, without the fear of end customer outages\nDelivering targeted experiences by easily personalizing features to customer cohorts\nMaximizing the business impact of every feature through the ability to experiment and optimize\nCoordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types\nImproving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability\nAt 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 . \nDo you need a disability accommodation?\nFill out this accommodations request form and someone from our People Operations team will contact you for assistance.","description_format":"text","description_chars":8137,"description_truncated":false,"requirements":{"experience_years_min":12,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Dental insurance","Restricted stock units"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","DevOps & Platform Engineering","Developer Tools","A/B Testing & Experimentation"],"lifecycle":[{"event":"open","at":"2026-09-05T09:49:49Z"}],"liveness":{"score":40,"band":"fade","label":"Fading","p_open":1,"p_active":0.903,"p_room":0.44,"age_days":79,"expected_fill_days":72,"reasons":["conf:3","velocity","win:tail","crowd:"],"computed_at":"2026-09-28T05:45:00Z"},"pay":{"stated_usd_annual":295350,"is_top_pay":true},"html_url":"https://alion.io/job/launchdarkly-solutions-engineer-ai-focus","json_url":"https://alion.io/job/launchdarkly-solutions-engineer-ai-focus.json","meta":{"generated_at":"2026-09-29T05:18:38Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4954,"day_limit":5000,"remaining_today":46,"minute_limit":60,"resets_at":"2026-09-30T00:00:00Z"}}}