Deal Desk Manager
Decagon is hiring a Deal Desk Manager in San Francisco, United States. It pays $160k-$200k a year and Level rates it ; you can apply on Decagon.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- Tools and skills the posting cites include AI agents.
- Level classifies it as a senior role.
- Level lists 126 other open roles at Decagon.
AI in this role
About Decagon
Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences.
Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel.
We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others.
We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team.
About the Role
Decagon is looking for a Deal Lead to sit at the intersection of Sales, Finance, and Strategy. You'll be the first dedicated pricing hire and will work closely with the Business Operations team to shape the function from the ground up.
On our Pricing team, your primary goal will be to accelerate and scale our enterprise go-to-market motion - working closely with our account executives to structure and propose deals. Initiatives will include building internal deal processes, proposal structuring, commercial negotiations with customers, and sales enablement.
This is an exciting role blending strategic thinking and high-caliber execution. We are looking for highly-motivated problem solve
About the team
Decagon’s Revenue Operations team is a multidisciplinary group of operators combining strategic thinking, analytical rigor, and high-velocity execution. Covering GTM-wide strategy, operations and analytics, we are proactive, data-driven partners to leadership – providing critical insights, driving operational efficiency and getting things done.
About the role
This is a dynamic, wide-ranging role to join our team shaping Decagon’s go-to-market strategy and driving execution. This is an opportunity to help build Decagon's Deal Desk function from the ground up. You'll design the operating model, stand up the systems, and become the trusted connective tissue between Sales, Finance, Founder's Office, Legal and other teams as deals move from quote to signature. It's a rare shot to stand up a function end-to-end from day one — shaping how a category-defining AI company structures, prices, and closes deals as it scales.
In this role, you will
Deal Desk Operator: Serve as the first point of contact for deal reviews and approvals, triaging requests for completeness and policy compliance before routing to other internal departments
Deal Structuring: Advise sales teams on pricing, custom terms, and non-standard contract options for complex and enterprise opportunities
Cross-Functional Bridge: Connect sales, finance, security, and legal to triage and shepherd complex deals through the internal review process
Systems Owner: Stand up and administer the deal desk tech stack (Salesforce, CPQ, quoting and contract tools), building the foundation as new pricing models, packaging, and deal types emerge
Process Builder: Design approval workflows, discount guidelines, and order form templates from scratch, and continuously improve them as the business scales
Enablement: Train and coach sales on pricing policy, deal structuring options, and how to use deal desk systems and templates as they're built
Your background looks something like this
5+ years of experience in Deal Desk and/or Sales/Revenue Operations, ideally within a high-growth B2B SaaS environment
A builder at heart — you've stood up a process, system, or function before, or you're hungry to prove you can do it from scratch
Understands a deal desk function end-to-end — from policy design and systems administration to day-to-day deal review
Deep understanding of quote-to-cash workflows, CPQ tools, and CRM platforms (Salesforce)
Strong grasp of contract structures, licensing and pricing models, and revenue recognition principles
Track record of building approval workflows, discount guidelines, and templates from scratch in a fast-moving, ambiguous environment
Excellent cross-functional communicator, comfortable acting as the connective tissue between sales, finance, and legal
High agency and comfortable with ambiguity — you scope the problem yourself and move, rather than waiting for a fully-formed spec
Benefits
We proudly offer the following benefits for our full-time employees:
Medical, Dental, and Vision benefits for you and your family
Life Insurance and Disability Benefits
Retirement Plan (e.g., 401K, pension)
Parental Leave
Fertility and family building benefits through Carrot
Monthly stipend to support your wellness, lifestyle, and work-life balance
Daily lunches and snacks in the office to keep you at your best
Take what you need vacation policy (subject to local requirements; UK employees receive 25 days of statutory leave)
Decagon offers a competitive benefits package that varies by country and complements local statutory benefits. Details for this location will be provided during the recruitment process.
How we rate this
Deal Desk Manager at Decagon rates 36 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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