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

About the Client

Since its founding in 2009, the organization has evolved in the commerce sector, addressing challenges sellers face with disparate and outdated tools. It provides integrated, omnichannel software solutions that enable sellers to manage online sales, inventory, payments, customer engagement, and staffing, alongside embedded financial services like business loans and cash flow management. Serving sellers of various sizes, from startups to enterprise-scale businesses, the organization supports growth by offering scalable tools that enhance sales and customer reach.

About the Opportunity

The STAFF SOFTWARE ENGINEER, GO-TO-MARKET SYSTEMS & AI, leads the technical direction and development of the go-to-market technology stack that supports sales teams. This role focuses on creating AI-driven systems and automated workflows to reduce manual tasks and enhance sales productivity. The engineer collaborates cross-functionally to deliver scalable, reliable solutions that improve business performance and sales operations.

Responsibilities

• Own technical strategy, architecture, and evolution of go-to-market technologies.
• Design, build, and maintain AI agents and automated workflows to streamline sales work.
• Lead technical execution by guiding engineers and managing complex initiatives.
• Participate hands-on throughout software development lifecycle.
• Collaborate with sales and operations teams to identify opportunities and develop scalable solutions.
• Establish standards and safeguards for reliable, secure AI systems handling sensitive data.
• Define success metrics and use data and feedback to refine AI capabilities.
• Make informed decisions on building or buying technologies and manage integrations.
• Foster alignment with senior technical and business partners and raise engineering standards.

Requirements

• Minimum 12 years experience with a Bachelor’s degree; or 8 years with a Master’s; or 5 years with a PhD; or equivalent.
• Proven ability to set technical direction and deliver complex systems across teams.
• Experience designing and operating production software using large language models, AI agents, or related technologies.
• Demonstrated success moving AI from prototype to production with focus on evaluation, security, and reliability.
• AI-native engineering approach incorporating AI tools judiciously.
• Strong software engineering and system design skills across applications, services, and data layers.
• Experience leading technical efforts through influence and mentorship without formal authority.
• Ability to navigate ambiguity, assess tradeoffs, and influence senior stakeholders.
• Familiarity with sales or go-to-market systems is beneficial but not required.