Top Tech Jobs & Startup Jobs in Boston, MA

Lead the Experimentation pillar: set strategy, deliver roadmap, and drive commercial outcomes. Productize AI-native experimentation, expand warehouse-native capabilities, win high-maturity data-science buyers, run a high-performing product organization, and represent the category externally to drive adoption and competitive wins.

Lead global revenue accounting and OTC operations, own revenue, billings, collections, and commissions accounting. Ensure ASC 606 and SOX-compliant reporting, manage external audits, design scalable OTC workflows and ERP/CPQ/SFDC integrations, partner cross-functionally, and build a high-performing team focused on process automation and operational controls.

Own and expand large enterprise accounts within a territory. Develop territory and account plans, drive outbound pipeline, ensure product adoption through coordination with pre/post-sales and customer success, engage VP/C-suite stakeholders, collaborate with solutions engineers and cross-functional teams to deliver business and technical value.

Lead technical adoption of AgentControl by building integrations, demos, and content; advise customers and partners; collect product feedback; develop Solutions Engineering playbooks; collaborate with product, engineering, and AI SME teams; evangelize at conferences; and measure activation, usage, and impact to drive product-market fit and revenue.

As a Full Stack Engineer, you will design, develop, and maintain scalable solutions for data-driven products, collaborating with cross-functional teams.

Lead strategic, hands-on Professional Services engagements to integrate LaunchDarkly into AI-powered systems. Implement feature-gated AI rollouts, guardrails, kill switches, and experimentation; build reference implementations and production integrations; advise engineering and platform teams; gather requirements and escalate complex issues; share feedback with Product and Engineering.

Lead Professional Services engagements to help customers adopt and operationalize AI-powered systems using LaunchDarkly. Design and implement safe rollout patterns, build production-quality integrations and prototypes, instrument inference-time and workflow-level decision points, and advise on DevOps/CI/CD, experimentation, and AI governance. Travel ~20%.

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.

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.