Staff Software Engineer, Go-to-Market Systems & AI
Leads architecture and hands-on delivery of AI-powered go-to-market systems and automations that improve sales productivity. Requires staff-level technical leadership, production AI experience, and strong software and system-design skills.
About the job
Responsibilities
- Own the technical strategy, architecture, and long-term evolution of the go-to-market technology stack.
- Design, build, and operate production-grade AI agents and automated workflows that reduce manual sales work and improve decision-making.
- Lead technical execution across initiatives by setting direction, decomposing complex problems, reviewing designs, and supporting high-quality delivery.
- Work hands-on across prototyping, architecture, implementation, testing, deployment, and production operations.
- Partner with Sales, Sales Strategy & Operations, Product, Data, and Engineering to translate business problems into scalable technical solutions.
- Establish evaluation methods and guardrails for reliable, observable, secure, and safe AI systems handling sensitive business data.
- Define success measures and use data, evaluations, and user feedback to improve accuracy, adoption, and business impact.
- Make build-versus-buy decisions and guide integrations across internal platforms, CRM systems, data services, and third-party tools.
- Build alignment with senior technical and business partners, communicate tradeoffs, mentor engineers, and raise engineering standards.
Requirements
- 12+ years of related experience with a bachelor's degree; or 8+ years with a master's degree; or a PhD with 5+ years of experience; equivalent experience may be considered.
- Experience setting technical direction and delivering complex, business-critical systems across multiple teams or functional areas.
- Experience designing, building, and operating production software using large language models, AI agents, tool calling, retrieval, workflow orchestration, or related technologies.
- Track record of moving AI capabilities from prototype to production, including evaluation, observability, security, reliability, and human oversight.
- AI-native engineering approach, with sound judgment about when to use models, deterministic software, or human review.
- Strong software engineering and system design skills across application, service, integration, and data layers.
- Experience leading through technical influence, mentorship, architecture, and direct contribution without formal reporting authority.
- Judgment for navigating ambiguity, evaluating technical and business tradeoffs, and influencing senior stakeholders.
Nice-to-haves
- Familiarity with sales processes or go-to-market systems, including lead management, opportunity management, forecasting, account planning, or CRM platforms.
Compensation
- Annual salary range: $263,600–$395,400 USD.
- Benefits include remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning.
Skills
Go-To-Market Systems, LLMs, AI Agents, Tool Calling, Retrieval, Workflow Orchestration, Observability, System Design, CRM, Data Services, Production Operations, Ai Evaluation
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