Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.
About the role
Cursor's go-to-market motion is scaling fast — we've grown our sales team more than 5x in a matter of months, and the systems that power that team need to scale with it. This role exists at the intersection of day-to-day support and long-term automation: you'll own the support queue for our Salesforce environment and surrounding sales tools, and you'll use that visibility to systematically eliminate the most common pain points through thoughtful system design, UX improvements, and agentic builds.
This is not a role for someone who wants to close tickets as fast as possible and move on. It's for someone who sees a recurring issue and immediately starts thinking about how to make it never happen again.
What you’ll do
Serve as the primary point of contact for Salesforce and sales systems support across a fast-growing sales organization
Triage, debug, and resolve issues across our Salesforce environment — including using debug logs to trace root causes quickly and accurately
Administer and support adjacent sales tools, including LinkedIn Sales Navigator, ZoomInfo, Gong, e-signature and contract generation tools and others
Go beyond the immediate fix: diagnose the underlying technical or UX root cause and address it at the system level so the same problem doesn't resurface for the next user
Bring a thoughtful eye to UX — if a workflow is confusing, a field is misplaced, or a process creates unnecessary friction for reps, flag it and fix it
Track and identify patterns in support volume, then design system automation and/or agentic workflows to address them at scale — auto-routing, intelligent response drafting, or fully automated resolution for the right categories
Build agentic automation with architectural rigor: not just what to build, but how to structure it so it scales, stays maintainable, and yields higher quality outcomes over time
Document solutions and contribute to a growing knowledge base that reduces future support load
You may be a fit if
Strong Salesforce admin and engineering experience, including hands-on Apex and SOQL
LWC experience is a plus
Real Salesforce debugging experience — you know your way around debug logs and can trace a root cause under pressure
Comfort owning frontline support directly: triaging, troubleshooting, and fixing rather than escalating by default
Familiarity with the modern sales tech stack — tools like Gong, LinkedIn Sales Navigator, ZoomInfo, Chili Piper, DocuSign, or Conga are a plus
Demonstrated experience building agentic systems — not just one-off automations, but infrastructure that handles context, orchestration, and durability
A self-starter orientation: you see problems before they're assigned to you, and you build the solution rather than waiting for direction
A pattern-recognition mindset: you don't just solve the ticket in front of you, you ask what structural change makes this class of ticket disappear
Based on 590 disclosed AI Engineering salaries on RoleSuite, the role pays a median of $199K/year, with most offers between $162K and $236K (10th–90th percentile: $131K–$270K).
See the full AI Engineering salary breakdown →