Sr. Staff Applied AI Engineer, GTM

What you'll do

• Partner with GTM leaders to map revenue workflows, set the AI roadmap, and advise on feasibility, risk, cost, and Build/Partner/Buy decisions.
• Design, deploy, secure, monitor, and evaluate AI solutions tied to GTM KPIs; drive field adoption and user feedback.
• Develop reusable technical standards and building blocks, and mentor other engineers.

What they ask for

• 5+ years of professional software engineering experience, including 3+ years working directly on AI and/or ML projects.
• Experience driving AI strategy and execution for GTM functions, including shipping solutions used by customer-facing teams with measurable GTM impact.
• Hands-on experience with modern AI components, including retrieval, reusable skills, agentic orchestration, MCP, and A2A frameworks.
• Experience securing and deploying AI systems at scale; proficiency in Python and experience monitoring AI systems on a major cloud platform.

Nice to have

• GTM experience at a B2B enterprise SaaS or cybersecurity company; RevOps, Sales Engineering, or GTM Strategy experience is a plus.
• Experience with graph-based knowledge systems, long-term agent memory, automated evaluations, or experiments measuring business lift.

Pay

$180,000 — $225,000 USD (base salary)

Tools

Python, Model Context Protocol (MCP), agent-to-agent (A2A) frameworks, retrieval-augmented generation, GraphRAG

AI focus

Apply AI to GTM workflows, including retrieval-augmented generation, structured-data querying, agentic workflows, secure AI deployment, evaluation, and business-impact measurement.