Deal Desk Analyst - Americas

Cursor - San Francisco, New York - original posting ->
Status
Open
Remote policy
Onsite
Employment type
Full-time
Salary
Not stated
Categories
Revenue Operations, Deal Strategy and Compensation
Tech
onsitedata
Source
cursor
First observed
2026-09-14 17:47 UTC
Last seen
2026-09-14 17:47 UTC
Source claims posted
2026-09-14 17:04 UTC
Consecutive misses
0 of 3

What the posting says

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.

We're scaling our Deal Desk function and looking for a high-ownership IC to join the Americas team. You'll sit at the intersection of Sales, Legal, Finance, Product, and Business Operations, partnering closely with Americas sales leaders to structure and win the enterprise deals that form the backbone of our growth — and just as importantly, you'll help us systematize and scale how we get those deals done.

About the role

We're in-person with cozy offices in North Beach, San Francisco and Manhattan, New York, complete with well-stocked libraries. This role requires five days a week in office.

You'll be joining a small, high-ownership team operating in one of the fastest-moving markets in AI. The Deal S&O function is established and humming with deal volume — but we're growing fast enough that "established" doesn't mean "settled." Day-to-day, you'll be in the trenches on live deals, working through pricing negotiation and contract structure alongside sales leaders in real time. You'll also zoom out: scoping and shipping the strategic projects that take what's working today and make it work at 5x the volume — improving our pricing model, tightening approval workflows, scaling our contracting process, and building the sales enablement that lets reps move faster without losing the plot on commercial discipline.

What you’ll do

Partner with Americas sales, legal, finance, and revenue operations to structure, negotiate, and close complex enterprise deals

Serve as a thought partner to sales reps on deal strategy: pricing, competitive positioning, negotiation approach, contract structure, executive engagement

Help evolve our pricing model and deal frameworks as the market and customer base shift — spotting trends across your deal flow, surfacing the patterns to finance and leadership, and driving the changes through

Lead cross-functional projects that systematize how we operate at scale — approval workflows, contracting playbooks, pricing guardrails, sales enablement materials, deal desk operating cadence

Improve the tools and processes we already have (Salesforce, Ironclad, our pricing infrastructure) by partnering with the GTM systems team — without needing to build them yourself

Balance a high-volume deal workload with longer-horizon strategic initiatives, managing competing priorities across multiple reps and deal cycles simultaneously

You may be a fit if

You have 5–10 years of experience across consulting, investing, commercial strategy, deal desk, or a combination — and you've operated at a level where you owned outcomes, not just tasks

You've worked on enterprise B2B deals, ideally in SaaS or infrastructure, and have direct experience with $1M+ ACV contracts

You've operated in a high-volume deal environment and have a track record of scaling yourself — building processes, playbooks, and enablement so you're not the bottleneck

You're highly analytical — comfortable analyzing pricing, building ROI models in Excel, and grounding strategic recommendations in data

You have a point of view. You don't wait to be told what to think — you come with a perspective and know how to back it up

You operate with urgency, ownership, and very little hand-holding

You're based in or able to relocate to San Francisco or New York City

Quality

Completeness: 65%

Not enough history yet to judge honesty signals.

Timeline

  1. *
    #749378 2026-09-14 17:47 UTC
    Published