Jobs at LaunchDarkly

Lead the vision, strategy, roadmap, platform definition, and go-to-market for LaunchDarkly’s end-to-end data products, spanning SDK ingestion, data infrastructure, analytics, observability, experimentation, and AI-powered experiences. Partner cross-functionally with engineering, design, marketing, sales, and customer teams; advocate for customers; ensure reliable data foundations; monitor industry trends; and mentor other product managers. Candidates need substantial product or data-intensive engineering experience and strong knowledge of modern data architectures.

Leads global payroll operations across multiple countries and entities, overseeing processing, compliance, controls, vendors, reconciliations, reporting, audits, systems, and continuous improvement. Partners with Finance, Accounting, People, Legal, IT, and Total Rewards on payroll accounting, tax, equity, employee lifecycle changes, and system enhancements. Serves as the senior escalation point, improves employee experience, manages payroll metrics and forecasts, and develops payroll team members and external partners.

Build backend APIs, Go services, data pipelines, and agent infrastructure for Vega, LaunchDarkly’s AI-powered observability platform. Design sandboxed agent execution, usage metering, dashboard creation capabilities, and enterprise data integrations. Own features from design through production, operate high-throughput systems, contribute to architecture and code quality, mentor teammates, collaborate cross-functionally, and participate in on-call rotations.

Leads and scales LaunchDarkly’s Americas sales organization across Strategic, Enterprise, and Corporate segments. Owns new business and expansion revenue, go-to-market strategy, pipeline generation, forecasting, territory planning, sales execution, and operating discipline. Builds and develops a multi-level sales team, engages in strategic deals, and partners cross-functionally with Marketing, Customer Success, Solutions Engineering, Partnerships, Enablement, Finance, and Revenue Operations to drive predictable growth.

Lead and develop the AgentControl Evaluations engineering team while providing technical leadership for offline evaluations, playgrounds, LLM-as-judges, and annotated datasets. Partner with Product and Design on roadmap planning, own feature delivery, improve reliability and incident response, coordinate shared infrastructure, communicate progress and risks, foster collaborative team norms, and participate in hiring and career development.

Lead and grow a backend/infrastructure engineering team building the Experimentation product. Partner with PM and Design to plan and deliver features, collaborate with adjacent teams on shared infrastructure, improve reliability and observability, drive incident response and operational excellence, and participate in hiring and career development for engineers.

Leads LaunchDarkly’s global partnerships and alliances strategy across GSIs, SIs, cloud, VAR, and technology partners. Builds the partnerships organization, partner programs, co-sell motions, services offerings, and PRM ecosystem. Owns partner-sourced pipeline, influenced revenue, budgets, forecasting, executive relationships, enablement, and cross-functional collaboration across Sales, Product, Services, Marketing, Finance, Legal, and Customer Success.

Design, build, and operate distributed, data-intensive backend systems and pipelines. Own production data infrastructure (streaming, batch, analytical stores), debug production incidents, participate in on-call rotations, partner with product and frontend teams, write/review architecture and code, and improve observability, reliability, and deployment practices.

The Staff Engineer will build data-driven experimentation systems, lead statistical engine design, ensure correctness in A/B testing, and mentor team members while collaborating cross-functionally.

Design, build, and operate scalable backend services and APIs for LaunchDarkly’s experimentation platform. Own systems supporting experiment setup, event ingestion, metric computation, and results processing. Contribute to architecture, reliability, observability, deployment safety, incident response, and technical direction. Collaborate with product, design, data science, and engineering teams, investigate production issues, participate in on-call, and mentor teammates through reviews and knowledge sharing.

Design and build LaunchDarkly’s next-generation experience platform across its product suite. Lead user experience and supporting platform development, collaborate with product teams, mentor engineers, set technical direction, and own operational excellence through monitoring, observability, incident response, telemetry, alerting, and on-call responsibilities.

Own approximately eight strategic enterprise accounts, develop territory and account plans, generate outbound pipeline, and expand customer relationships. Drive LaunchDarkly adoption, manage complex consultative sales cycles, and engage executive stakeholders at Fortune 500 companies. Collaborate with solutions engineering, customer success, support, marketing, product support, developer relations, and revenue operations teams. The role requires experience with large SaaS deals, land-and-expand strategies, quota attainment, and executive-level selling.

Own enterprise feature-management capabilities end to end across Go backend and TypeScript/React frontend. Design for permissions, auditability, scale, performance, APIs, Terraform, data residency, regional isolation, and resilience. Collaborate directly with enterprise customers, improve observability and operability, participate in on-call, align cross-functional teams, mentor engineers, and deliver features from problem framing through production support.

Lead ownership of core feature-flag surfaces to ensure consistent, high-quality UX across teams. Set priorities from customer evidence, drive design-system adoption, prototype hybrid human-agent workflows, improve frontend performance at scale, and build shared interaction primitives (tables, filtering, sorting, bulk changes). Influence cross-team implementation, migrate call sites to shared foundations, and translate platform/library capabilities into product improvements.

Lead technical enablement for Solutions Engineering while designing and deploying AI-powered workflows and agents to scale enablement. Deliver training, define competency frameworks, measure readiness, automate repeatable activities, and partner cross-functionally to drive adoption and impact across GTM, Product, and RevOps.

The Full Stack Engineer will design and build features for LaunchDarkly's Observability product, focusing on Infrastructure-as-Code and enterprise integrations, while participating in architecture discussions and maintaining high engineering standards.

Own and modernize billing systems: define plans, pricing, entitlements, usage metering, and billing APIs. Decompose monoliths into independently deployable services, ensure end-to-end correctness (reconciliation, idempotency), operate SLOs/alerting, and run on-call. Integrate with billing, CRM, and finance systems.

Lead backend engineer for Identity & Access Management owning SSO (SAML/OIDC/OAuth2), SCIM provisioning, login/session flows, MFA, API key/token auth. Build enterprise identity features, improve operability (SLOs, monitoring, runbooks), partner on security/compliance, and mentor engineers while driving technical direction.

Build and maintain scalable backend services and APIs for AI functionalities, collaborating on product development and optimizing system performance.

The Staff Engineer will innovate software delivery, oversee observability systems, and collaborate with teams to enhance product development and reliability.