Staff Software Engineer, Go-to-Market Systems & AI

Role overview Set the technical direction for systems that support sales teams, reducing manual work through automation and AI-enabled workflows. As a senior technical leader, you will remain hands-on while guiding engineers and partnering with sales, operations, product, data, and engineering teams to deliver reliable tools that improve sales productivity.

Responsibilities - Own the architecture, technical strategy, and long-term evolution of the go-to-market technology stack. - Design, build, and operate production AI agents and automated workflows that support sales decisions and reduce repetitive tasks. - Lead complex initiatives by setting direction, breaking down problems, reviewing designs, and helping engineers deliver quality work. - Work across the full software lifecycle, from prototypes and implementation to deployment and production operations. - Identify high-value workflow improvements with sales and operations partners, then turn them into scalable technical solutions. - Establish evaluation, monitoring, security, reliability, and human-oversight practices for AI systems handling sensitive business data. - Measure outcomes using data and user feedback, and guide integrations and build-versus-buy decisions.

Requirements - At least 12 years of related experience with a bachelor’s degree, 8 years with a master’s, 5 years with a PhD, or equivalent experience. - A track record of setting technical direction and delivering complex, business-critical systems across teams or functions. - Experience designing, building, and operating production software using large language models, AI agents, tool calling, retrieval, or workflow orchestration. - Experience taking AI capabilities from prototype to production, including evaluation, observability, security, reliability, and human oversight. - Strong software engineering and system design skills, with the ability to contribute hands-on across implementation and operations. - Clear communication and collaboration skills, including the ability to explain trade-offs and mentor engineers.

Benefits and work setup The role description lists remote work, medical insurance, flexible time off, retirement savings plans, and family-planning benefits. U.S. pay is described as location-based, with posted ranges of $263,600–$395,400 across the listed zones.