Staff Software Engineer, GTM & AI Strategy

Role overview This Staff Software Engineer role sits on a Go-To-Market and AI Strategy Engineering team building 0-to-1 internal tools that change how revenue teams work. The engineer will be a primary hands-on builder of agentic workflows and RAG pipelines that automate account research, lead prioritization, and complex quoting logic. The work spans integrating AI services into the tech stack, connecting custom quoting engines with CRM and internal data lakes, and shipping observable, production-grade backend services.

Responsibilities - Architect and code high-performance backend services and ML pipelines, spending the majority of time hands-on-keyboard. - Prototype and ship new internal products from scratch that leverage large language models and agentic AI. - Build the backend connective tissue between a custom quoting engine, Salesforce, and internal data lakes for a seamless end-to-end experience. - Solve complex synchronization and architectural challenges across the GTM stack to keep systems scalable and resilient. - Translate high-level goals into sequenced, production-ready code that delivers broad-impact capabilities. - Build flexible, decoupled backend systems that can evolve with the AI strategy, and embed deep observability into every shipped service.

Requirements - Extensive experience in backend languages such as Java, Go, or Python, with a track record of building complex distributed systems. - Practical, hands-on experience building LLM agents in a production environment. - Ability to implement event-driven architectures and manage high-integrity data flow across disparate systems. - Bachelor's or Master's degree in Computer Science or a related technical field.

Nice to have - Experience building internal sales-tech or fintech tools that directly impact revenue. - Familiarity with AWS data services such as SageMaker, Lambda, and SQS. - A passion for removing human-in-the-loop friction through intelligent automation.

Benefits and work setup - Hybrid work model that supports in-person collaboration alongside individual flexibility. - Base salary range of $151,000–$309,000 USD depending on geographic pay zone, plus potential equity, bonuses, commissions, and a benefits package. - A culture that emphasizes learning new AI tools across disciplines to build for customers faster and more independently.