Jobs at LaunchDarkly

Supports the Chief Revenue Officer and global Revenue organization by managing calendars, priorities, meetings, travel, expenses, executive events, and confidential information. The role coordinates senior stakeholder interactions across time zones, prepares executives for meetings, resolves scheduling conflicts, and provides administrative support to additional Revenue leaders as needed. It also requires strong judgment, discretion, organization, communication, and thoughtful use of collaboration and AI tools.

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.

Own the full sales cycle for mid-market SaaS accounts across EMEA, including pipeline generation, territory planning, relationship management, executive engagement, consultative selling, forecasting, and account expansion. Partner with solutions engineers, customer success, support, marketing, and revenue operations to guide customers through evaluation, purchase, adoption, and long-term growth.

Manage the full SaaS sales cycle for corporate and SMB customers across EMEA, including outbound prospecting, discovery, value alignment, demonstrations, proofs of concept, relationship development, expansion opportunities, customer adoption, forecasting, and revenue target attainment. Collaborate with sales leadership, solutions engineers, customer success, support, and product teams while maintaining accurate Salesforce data and sharing customer insights.

Serve as a senior technical advisor for enterprise prospects and customers throughout the pre-sales lifecycle. Lead discovery, architecture design, proof-of-concept implementations, demonstrations, workshops, proposals, and RFP responses. Partner with sales and customer success, translate requirements into scalable solutions, influence product roadmaps, support technical environments, mentor junior engineers, and improve global SE processes. The role requires 50% travel and expertise in cloud platforms, DevOps, and customer-facing technical engagements.

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.

Own the full mid-market sales cycle: generate outbound pipeline, build relationships, execute territory/account plans, collaborate with solutions engineering and customer success to drive adoption, accurately forecast, and close five- to six-figure SaaS deals.

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 quote-to-cash deal reviews and approvals, advise Sales on complex SaaS transactions, manage a book of high-value deals, enforce processes and data integrity, configure and support CPQ, coordinate cross-functional execution, draft commercial terms, train Sales, and pilot AI tools to streamline deal desk workflows.

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.

Serve as a technical advisor in enterprise pre-sales: drive discovery, design architectures, lead PoCs, deliver tailored demos/workshops, liaise with product/engineering, mentor SEs, and support RFPs while traveling as needed to win and expand customers.

Lead and scale the EMEA sales organization to drive new business and expansion across Enterprise and Corporate segments. Set go-to-market strategy, build pipeline engines across channels, establish forecasting and operating rhythms, and develop sales leadership. Partner with cross-functional teams to improve deal quality, adoption, retention, and regional GTM execution.