Profound Logo

Profound

Deal Desk Lead

Reposted 18 Days Ago
Be an Early Applicant
In-Office
San Francisco, CA, USA
150K-190K Annually
Senior level
In-Office
San Francisco, CA, USA
150K-190K Annually
Senior level
Lead and build the company's deal desk end-to-end: validate pricing and deal structure, QA order forms, manage quote-to-sign workflows, enforce approval matrices and playbooks, maintain CRM/CPQ/CLM hygiene, run deal audits and metrics, partner with Sales/Finance/Legal, and design AI automations to reduce manual work and speed deal velocity.
The summary above was generated by AI

Profound is the marketing platform for the age of AI search. The way brands reach people is being rewritten — AI models like ChatGPT, Perplexity, and Google AI Mode are now the answer layer between companies and their customers. We built the platform marketers use to understand, measure, and win in that world: the analytics, intelligence, and agent automation that turn AI search from a threat into a competitive advantage.

We went from 0 to a $1B valuation in 18 months. Revenue grew 100x last year. Our customers include 15% of the Fortune 500 like Walmart, Wayfair and U.S. Bank, and innovators like Ramp, MongoDB, and Figma. We are backed by Sequoia, Kleiner Perkins, LSVP, and Khosla Ventures — and we are moving fast enough that the people joining now are building the playbook everyone who comes after them will run.

As our first Deal Desk hire, you won't be stepping into an existing machine - you'll be the one who builds it.

This is a foundational, high-ownership seat for someone who has done this before, thrives without a blueprint, and is ready to step into something bigger.

The Role

You'll own the entire deal lifecycle that powers our revenue engine - partnering with Sales and RevOps to fine tune the systems, guardrails, and playbooks that let us scale without losing commercial discipline. You'll be the last line of defense before every deal goes out the door and the first call a rep makes when a deal gets complicated.

But this isn't just an execution role. Profound is an AI-native company, and we expect this function to be AI-native too. We're looking for someone who has already built AI solutions to automate meaningful parts of their work - not just someone who uses the tools, but someone who engineers with them. That mindset will define how you build this function.

What You'll Do

Be the deal expert reps actually want to call

  • Serve as the trusted advisor to AEs on deal structure, pricing, and commercial terms - bringing judgment to non-standard situations, not just policy lookups

  • Partner with Sales on new business, expansion, and renewal deals that balance customer needs, Profound's economics, and operational simplicity

  • Establish yourself as the connective tissue between Sales, Finance, and Legal throughout the deal cycle

Own quote-to-sign end-to-end

  • Validate pricing and structure, generate and QA order forms, coordinate signature workflows, and resolve issues fast

  • Conduct final review of every deal prior to execution - you're the quality control gate before signature

  • Maintain Salesforce hygiene for all deal and opportunity records - pricing, terms, approval status, contract details - and partner with RevOps to automate workflows across CRM, CPQ, and CLM

Build the function from zero

  • Design and implement approval workflows, escalation paths, SLA standards, and exception-handling frameworks

  • Develop and maintain pricing guidelines, discount approval matrices, and deal structuring playbooks; enforce them consistently while refining as the business evolves

  • Establish the operating cadence for deal review, including regular deal clinics with Sales and Finance leadership

  • Own deal desk metrics - cycle time, approval turnaround, exception rates, discounting trends, deal quality - and report on them with rigor

  • Lead month-end deal audits to support accurate reporting and revenue recognition

Build AI into everything you do

  • Identify the highest-leverage opportunities for AI to reduce manual overhead and increase deal velocity

  • Bring a builder's mindset: if you're doing something repetitive more than twice, you should be building a solution

Own commercial responses

  • Support the commercial and pricing sections of RFP/RFI responses

Who You Are

Experience

  • 5–8 years in Deal Desk, Revenue Operations, or Sales Operations at a high-growth B2B SaaS company

  • Hands-on experience supporting enterprise sales cycles - multi-stakeholder, multi-year, non-standard structures

  • Proven track record meaningfully improving or standing up deal desk processes (not just inheriting them)

  • Working knowledge of Salesforce (or HubSpot), CPQ, and CLM platforms

Mindset and character

  • An AI builder, not just an AI user - you've built automations that eliminated manual work from your deal desk workflow; you can speak to what you built, how, and what it replaced

  • Strong commercial intuition: you understand SaaS economics, discounting, and standard commercial terms, and you spot edge cases before they become problems

  • The backbone to push back constructively on senior Sales stakeholders when a deal falls outside policy - paired with genuine empathy for reps and a service mindset

  • Obsessively detail-oriented, able to prioritize and move fast in a high-volume environment

  • A clear communicator who can translate commercial complexity into actionable guidance for Sales, Finance, and Legal

  • Comfortable balancing 0-to-1 process building with high-volume deal execution simultaneously

  • Proactive by default - you identify gaps and close them without being asked

Nice to have

  • Experience with usage-based or consumption pricing models

  • Working knowledge of ASC 606 and its deal structuring implications

  • Experience evaluating or rolling out a CLM platform (Ironclad, Juro, DocuSign CLM, or similar)

 
What Makes This Role Different

Most deal desk roles ask you to maintain a machine someone else built. This one asks you to design the machine, wire it up, and run it - at an AI-native company that expects you to use AI to do it better than it's ever been done before.

You'll have direct access to Sales, Finance, and Legal leadership. Your decisions will shape how Profound closes deals and how the company scales its commercial operations. If you've been waiting for a seat at the table, this is it.

 
Location

On-site in our NYC or San Francisco office.

 
Compensation

Base salary: $150,000 – $190,000

Total compensation includes base salary, meaningful equity, and a full benefits package. Final comp will depend on your skills, experience, qualifications, and location, and will be determined through the interview process.

Note: All official communication from Profound will come from a @tryprofound.com email address. If you're contacted by anyone using a different domain, please disregard and report it as spam.

Similar Jobs

12 Days Ago
Remote or Hybrid
United States
180K-240K Annually
Senior level
180K-240K Annually
Senior level
Big Data • Information Technology • Software • Database • Analytics
Lead and build the Deal Desk function: own complex enterprise deal structuring, pricing frameworks (including consumption models), CPQ and quote-to-cash systems, approval workflows, and renewal/expansion mechanics. Partner with Sales, Finance, Legal, and executives to enable fast, accurate quoting while protecting margin and ensuring clean billing and revenue recognition.
Top Skills: AIBilling SystemsCpqGtm SystemsQuote-To-CashRevenue Recognition
18 Days Ago
In-Office or Remote
110K-135K Annually
Senior level
110K-135K Annually
Senior level
eCommerce • Software
Lead assessment and improvement of Deal Desk, quote-to-cash, and commercial exception workflows. Partner cross-functionally to manage discounts, approvals, renewals, migrations, credits, billing exceptions, and tooling requirements. Build operating rules, training, reporting, and tooling specs to increase speed, visibility, and governance for sales and revenue teams.
Top Skills: ChargebeeClmCpqDocusignHubspotIroncladJIRANetSuiteSalesforceSQLStripe
5 Minutes Ago
Hybrid
140K-180K Annually
Mid level
140K-180K Annually
Mid level
Artificial Intelligence • Fintech • Machine Learning • Natural Language Processing • Software • Generative AI
Design, develop, and productionize agentic AI systems and robust retrieval methods for financial data. Own full ML lifecycle from experimentation to deployment and monitoring, evaluate agent performance, and collaborate with Data, Product, Engineering, and MLOps to build scalable, reliable solutions that connect data to actionable insights.
Top Skills: AirflowAmazon S3SparkArizeAws AthenaClaude CodeDeepspeedDockerDvcFastapiGradioGrafanaHuggingfaceJenkinsJupyterLabelboxLangfuseLanggraphLightgbmLitellmMatplotlibOpensearchPandasPgvectorPostgresPydanticaiPythonPyTorchRayScikit-LearnSqliteStreamlitTransformersVllmWeights & BiasesXgboost

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account