Top Tech Jobs & Startup Jobs

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.

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.