Oakland, CA
Feature management platform for software delivery
LaunchDarkly builds a runtime control platform using feature flags, experimentation, and observability tools. It serves engineering teams at thousands of companies, including 25% of Fortune 500, enabling safe progressive rollouts, real-time AI behavior control, and instant rollbacks without redeploys. This allows faster innovation with reduced production risk at global scale.
Own and expand large enterprise accounts through consultative SaaS sales, executive engagement, pipeline generation, and cross-functional collaboration. The role requires 7+ years of enterprise closing experience, technical familiarity with DevOps and developer workflows, and a record of exceeding quota.
Leads global controllership operations, financial close and reporting, technical accounting, SOX controls, audit coordination, and accounting automation. Requires 12+ years of progressive experience, Big 4 and industry leadership exposure, strong US GAAP/IFRS expertise, and experience scaling SaaS accounting organizations.
Lead a team of backend and infrastructure engineers building LaunchDarkly's Experimentation platform for statistically rigorous product decisions. Partner with PM/Design on roadmap delivery, drive operational excellence in data infrastructure, and coach engineers in a distributed environment.
Senior Developer Advocate responsible for building LaunchDarkly's presence in the Bay Area AI developer community through consistent event attendance, relationship building, technical demos, content creation, and feeding insights back to the product team. Requires technical credibility, experience in developer-facing roles, and genuine interest in the AI scene.
Turn high-intent trial and developer-tier signups into activated, successful users of LaunchDarkly's feature management platform through personalized outreach, troubleshooting SDK integrations, creating helpful content and sessions, and building AI-assisted workflows to scale impact. Requires technical foundation, empathy for developers, and comfort with ambiguity in a test-and-learn growth motion.
Senior Deal Desk Analyst partnering with Sales, Legal, Finance and RevOps to structure, review and close complex enterprise SaaS deals. Owns a book of business, drafts terms, ensures compliance, and champions Agentic AI tools to streamline processes. Requires 5-10+ years SaaS experience, strong contract and analytical skills.
Lead technical enablement for Solutions Engineering while designing and deploying AI agents and workflows to automate training, support technical sellers, and scale programs across GTM. Requires 8+ years SaaS technical GTM experience, hands-on AI tool building, and strong program management skills.
Lead customer marketing programs including storytelling, advocacy, case studies, executive advisory boards, and peer reviews to drive brand positioning, customer retention, and insights for a developer-focused SaaS platform. Requires 12+ years experience (7+ in customer advocacy with team management), developer audience expertise, and tools like Salesforce/Gainsight.
Quota-carrying overlay sales specialist selling LaunchDarkly's new AgentControl product into enterprise and strategic accounts. Own revenue targets, build pipeline, run full-cycle deals, and co-sell with AEs; requires 5+ years enterprise SaaS sales experience and familiarity with software delivery and AI.
Mid-Market Account Executive driving LaunchDarkly's growth by managing a book of net-new and existing accounts. Responsibilities include full-cycle sales, technical discovery, demos, POCs, customer adoption, and hitting revenue targets for a usage-based developer platform. Requires 2+ years full-cycle sales experience and quota attainment.
LaunchDarkly seeks an AI Specialist to drive early adoption of AgentControl, providing expert solutions engineering, building integrations and demos, gathering product feedback from customers, and evangelizing the product at conferences and with partners like Anthropic. Requires 12+ years experience building multi-agent systems, deep LLM knowledge, Python/PyTorch skills, and thriving in ambiguity.
Solutions Architect focused on helping enterprise customers safely adopt and operationalize AI-powered applications and agentic workflows using LaunchDarkly's feature management platform. Build production integrations, prototypes, and best practices for progressive delivery, experimentation, and governance alongside customer engineering teams.
Solutions Architect focused on helping enterprise customers safely adopt and operationalize AI-powered applications and agentic workflows using LaunchDarkly's feature management platform. Build production integrations, reference implementations, and safe rollout patterns (progressive delivery, experimentation, guardrails) directly in customer codebases while acting as a trusted technical advisor.
Senior Backend Engineer building and operating distributed data infrastructure for streaming, batch processing, analytical stores, and warehouse exports at scale. Requires 6+ years backend experience with data pipelines, distributed systems, and production ownership (on-call).
Senior Solutions Engineer serving as a trusted technical advisor to Enterprise prospects and customers, driving pre-sales discovery, PoCs, demos, and architecture design. Requires 8+ years in solutions/sales engineering or systems architecture with deep cloud platform expertise.
Backend engineer building and operating real-time flag delivery services at scale. Requires 5+ years production backend experience, strong Go/Java/Rust skills, distributed systems knowledge, and demonstrated AI fluency in engineering work.
Build agentic onboarding flows and MCP server capabilities that extend LaunchDarkly into developer tools. Drive PLG metrics through full-stack features, experimentation, and funnel analysis.
LaunchDarkly is seeking a Full Stack Engineer to join the Guardian Monitoring team. This role involves designing, building, and shipping full-stack features for a platform that monitors software releases in real time, detects regressions, and triggers automatic rollbacks.
The Security Analyst III will define, implement, and operate security and privacy programs, driving initiatives to assess and reduce security risks and maintain compliance with frameworks like ISO 27001, SOC 2 Type II, and FedRAMP.
LaunchDarkly is seeking a Full Stack Engineer to enhance their Observability product by closing enterprise capability gaps. This role involves designing and building full-stack features, owning integrations and infrastructure capabilities, and collaborating with various stakeholders to deliver solutions for enterprise adoption requirements.
Mid-Market Account Executive responsible for acquiring new enterprise customers, managing territory strategy, generating pipeline, and closing complex technical deals with C-level stakeholders.
Build scalable backend services and APIs for LaunchDarkly's AI Configs product, working with Go, Python, and TypeScript on distributed systems and GenAI workflows. Requires 5+ years experience and hands-on LLM/GenAI work.
Trusted technical advisor for Enterprise pre-sales at LaunchDarkly, driving discovery, PoCs, demos, and architecture design to support sales and influence product roadmap. Requires 12+ years customer-facing SE experience and deep cloud expertise.
Full Stack Engineer building and maintaining an experimentation platform using Go, React, and TypeScript. Collaborate with cross-functional teams to deliver scalable services and user experiences for data-driven product experimentation.
Product Security Engineer II responsible for leading threat modeling, triaging CNAPP findings, contributing to SDLC tooling, and partnering with engineering teams to embed security practices. Requires 2-4 years in security roles with strong cloud security and AI tooling experience.
Negotiates and drafts commercial contracts including SaaS, vendor, and partner agreements for a SaaS company. Provides legal advice on data privacy and compliance to sales and business teams. Requires JD, bar admission, and 4+ years sales-side transactional experience.
Builds statistical engines and warehouse-native analysis pipelines for A/B testing and adaptive experimentation (contextual bandits). Requires 10+ years experience, deep applied statistics/ML, backend expertise in Go/Python, and warehouse integration across Snowflake, Databricks, etc.
Staff Engineer on Guardian team prototypes innovative observability and release safety features at feature flags intersection, leads 0-to-1 product development, and drives thought leadership in observability. Requires 12+ years full-stack experience, expertise in observability ecosystem, and autonomous problem-solving.
Builds and maintains feature-rich open-source AI SDKs in Python and TypeScript for GenAI feature control, monitoring, and optimization. Requires 5+ years experience with these languages, AI SDK familiarity, strong testing skills, and open-source contributions.