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Salary: USD 300,000 - 360,000 / annual
Lightspeed is seeking a Senior Director of Agentic Engineering to build and lead the platform, capabilities, and operating model enabling Product & Technology teams to work effectively with AI agents across the full product development lifecycle. Reporting to the SVP of Engineering, this is a foundational leadership role with company-wide impact.
You will translate rapidly evolving agentic technology into secure, reliable, and reusable capabilities that help teams discover, design, build, test, ship, and operate better products faster. Success is measured by adoption and sustained improvements in product quality, engineering velocity, developer experience, and business outcomes.
Key responsibilities include: defining the multi-year vision, strategy, and roadmap for agentic engineering; building and leading teams responsible for shared agentic platform capabilities (reusable agents, workflow orchestration, context and knowledge access, tool integrations, evaluation, observability, governance); creating an extensible platform and paved-road experience for Product, Design, Engineering, Quality, and Operations teams; partnering with Retail, Hospitality, Payments, and platform leaders on high-value product development use cases; establishing rigorous evaluation systems for agent performance, quality, reliability, security, cost, and human oversight; embedding responsible AI, access controls, data protection, auditability, and risk management into the platform by design; defining the operating model for agentic development including standards, patterns, ownership boundaries, and enablement; driving adoption and organizational change; owning outcome metrics for platform adoption, usage, developer experience, cycle-time improvement, quality, reliability, and cost efficiency; and hiring, coaching, and developing strong leadership and technical talent.
Required qualifications: 15+ years of experience with a Bachelor's degree in Computer Science or related field. You should have demonstrated experience leading leaders and senior technical talent in software engineering organizations; defining and scaling internal platforms, developer platforms, or shared engineering capabilities in complex, multi-product environments; building or deploying AI-enabled and agentic systems including model and tool orchestration, retrieval systems, evaluation frameworks, observability, and human-in-the-loop controls; partnering effectively with senior stakeholders across Product, Engineering, Design, Data, Security, Privacy, and Legal; leading organizational change across distributed teams; establishing high standards for architecture, engineering quality, operational resilience, responsible AI, and security; and communicating complex technical and strategic concepts clearly to executives and cross-functional teams.
