795,151open jobs
50,777companies
124,618added this week
Browse all
Salary
$190k – $275k per year
Location
In office (San Francisco)
Employment
Full-Time

Confirmed on the employer's own hiring board on Sep 25, 2026. First seen by Alion on Aug 13, 2026.

Overview
Company
Impact
Profile match

Exa

Exa builds a web search engine designed for AI applications and agents rather than for human readers, sold to developers and enterprises through APIs. It trained its own embedding-based search models and runs its own crawl that tracks more than 500 billion URLs, exposed through Search, Contents, Agent and Monitors APIs and Websets, a high-compute search product for lists of companies and people. Founded in 2021 in San Francisco under the name Metaphor, it serves more than 5,000 companies including Cursor, Cognition and HubSpot and raised a $250 million Series C led by Andreessen Horowitz in 2026.

THE ROLE

We’re hiring a Deal Desk Manager to build Exa’s deal desk from scratch. This function with standardize how we craft commercial deals with our Prospects & Customers, while also serving as the escalation point for structuring creative and complex deals that are beneficial to Exa and our Customers.

Today that complexity is absorbed deal by deal across the field, RevOps, Finance, and the co-founders. Your job is to replace that with a real desk: standard structures, clear approval thresholds, fast turnaround, and a bookings discipline that holds up to board and audit scrutiny, without becoming the bottleneck that slows deals down.

If you’re compelled at the prospect of building the foundation of Deal Desk where you write the pricing playbook, own the approval matrix, stand up the quoting process, and be the single accountable owner of how a deal gets structured and booked, then this is the role for you.

WHAT YOU’LL OWN

Deal Structuring & Pricing Guidance

  • Be the first call for AEs on any non-standard deal: structure options, pricing scenarios, commercial tradeoffs, and the fastest credible path to approval.

  • Own the commercial architecture of consumption deals: committed spend tiers, rate cards, overage and true-up mechanics, minimums, rollover, ramped commitments, and multi-year structures etc.

  • Build data driven discount and pricing guidance that gives sellers real latitude inside defined bands, so only genuine exceptions escalate.

  • Model deal economics before signature: effective rate, blended discount, ARR vs. TCV vs. consumption risk, and the margin implications of committed-use pricing.

Quote-to-Cash & Approval Governance

  • Design and run the approval matrix and delegation of authority: what an AE can approve, what needs Sales leadership, what needs Finance involvement, and ultimate escalation to founders + CRO.

  • Own quoting and order form generation end-to-end, including CPQ configuration and templates that clear standard shapes without legal review.

  • Partner with Legal, internal and outside counsel, on redlines and non-standard terms

  • Drive the handoff into Finance and billing so what is signed is what is invoiced - correct start dates, billing schedules, and subscription plus consumption records.

  • Maintain a complete audit trail on every exception granted, so approvals are defensible and patterns become visible over time.

Bookings Discipline & Revenue Governance

  • Own day-to-day application of Exa’s bookings policy and metrics dictionary: what counts as a booking, ramp and multi-year handling, debookings, downgrades, and mid-term amendments.

  • Serve as the control point for opportunity data quality at close: stage integrity, close dates, product and segment tagging, and the fields that downstream reporting and commissions depend on.

Field Partnership & Deal Velocity

  • Sit in deal reviews and forecast calls as a commercial partner, catching structural risk early and offering remediation options.

  • Enable AEs and FDEs on pricing, packaging, and approval mechanics so the straightforward eighty percent of deals never need the desk at all.

  • Bring competitive and market pricing intelligence back into pricing strategy discussions with Sales, Product, and Finance.

  • Publish your own scoreboard: turnaround time, exception rate, discount trend, and where the desk is creating friction.

Systems, Scale & Automation

  • Automate the desk as you build it by establishing templated structures, self-service quote paths, approval routing in Salesforce, and agentic assistance for first-pass deal and document review.

  • Partner with the Head of Revenue Systems & Technology so quoting, approvals, and billing are architected into the stack

  • Write the playbooks and documentation that let this function scale beyond one person (in support of the agentic first mindset)

WHAT YOU BRING

  • 6+ years in deal desk, deal strategy, order management, sales operations, or commercial finance at high-growth B2B technology companies, including time as the accountable owner of a deal process.

  • Direct experience structuring consumption or usage-based commercial agreements, inclusive of committed spend, overage, true-ups, ramps etc.

  • Fluency in enterprise contracting mechanics: order forms, MSAs, DPAs, security addenda, and the terms that actually carry commercial weight.

  • Strong Salesforce fluency and hands-on experience with quoting/CPQ and approval automation.

  • Real modeling ability. You build the deal scenario yourself and defend the numbers in the room.

  • The judgment to say no to a bad structure and the pragmatism to find the version that works. You are measured on velocity and discipline both, and you do not trade one away for the other.

  • Comfort in a fast-moving, small-team environment where the process does not exist yet and you are expected to write it.

BONUS POINTS

  • Working knowledge of revenue recognition (ASC 606) and how deal structure flows through bookings, ARR, and revenue

  • Experience at companies selling developer tools, APIs, or data infrastructure to engineering-led buyers.

  • Experience supporting product-led growth (self-serve, usage-based) and enterprise sales inside a single commercial architecture.

  • Familiarity with usage-based billing infrastructure (Stripe, Metronome, Orb, Zuora) and the CRM-to-billing data model it requires.

  • Hands-on with contract lifecycle tooling (Ironclad, DocuSign) and using AI to accelerate first-pass contract and deal review.

WHY EXA

  • Category-defining company: Exa is the infrastructure layer for how AI accesses the world’s information - a market that barely existed two years ago and is now mission-critical.

  • Elite backing: a $250M Series C led by a16z, with Benchmark, Lightspeed, and YC doubling down, bringing Exa’s valuation to $2.2 billion.

  • Greenfield build: There is no legacy desk to inherit and no committee to negotiate with. You define the pricing playbook, the approval architecture, and the bookings discipline that will govern the next phase of growth.

  • The timing matters: Exa is at the inflection point where foundational GTM decisions compound into durable advantage. The work you do in the next twelve months will shape the next five years.

Exa is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, age, veteran status, marital status, pregnancy or related conditions, criminal histories consistent with applicable law, or any other basis protected by applicable law.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
795,151 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Sales
Similar stack
Same company
San Francisco
$81k – $107k per year • In office • Full-Time • 4+ years exp • Bachelor's Degree • Marietta
Apply
up to $36k per year • In office • Full-Time • 1+ year exp • Oceanside
Apply
$196k – $326k per year • Remote (United States) • Full-Time • 10+ years exp • Bachelor's Degree • Atlanta
Marketing
Salesforce
Apply
≈ $100k – $207k per year (Estimated) • Remote (United States) • Full-Time • 7+ years exp • Master's Degree • United States
Marketing
Salesforce
Apply
≈ $106k – $223k per year (Estimated) • Hybrid • Full-Time • 8+ years exp • Dallas
AI/ML
Tokenization
Voice Agents
Management
Stripe
Apply
AI Engineer 1 day ago
≈ $52k – $140k per year (Estimated) • Hybrid • Full-Time • 3+ years exp • Bachelor's Degree • Barcelona
Python
SQL
Databases
Pinecone
AI/ML
LangGraph
Weights & Biases
LangChain
Prompt Engineering
AI Agents
AWS Bedrock
LLM
RAG
OpenAI
Multi-Agent Systems
DevOps
CI/CD
Git
AWS
Docker
Kubernetes
Apply
≈ $73k – $177k per year (Estimated) • Hybrid • Full-Time • Stockholm
Marketing
Salesforce
Apply
≈ $78k – $187k per year (Estimated) • Hybrid • Full-Time • Amsterdam
Marketing
Salesforce
Apply
Hybrid • Full-Time • London
Go
Go
Chi
AI/ML
Claude
ChatGPT
Marketing
Salesforce
YouTube
LinkedIn
Apply
$60k – $84k per year • In office • Internship • San Francisco
Python
JavaScript
TypeScript
AI/ML
Copilot
Cursor
Claude
Claude Code
Model Context Protocol
Vertex AI
AI Agents
LLM
OpenAI
Anthropic
LLM Guardrails
Tool Use
Frontend
Next.js
React.js
DevOps
Azure
AWS
Kubernetes
Apply
$180k – $240k per year • In office • Full-Time • 4+ years exp • New York
AI/ML
Exa
Marketing
Salesforce
LinkedIn
Apply
$100k – $130k per year • Equity • In office • Full-Time • 1+ year exp • New York
AI/ML
Exa
Apply
$150k – $230k per year • In office • Full-Time • 5+ years exp • San Francisco
AI/ML
Claude
ChatGPT
Exa
DevOps
GCP
Azure
AWS
Management
Slack
Apply
Account Executive 4 months ago
$200k – $400k per year • In office • Full-Time • 2+ years exp • New York
AI/ML
Exa
Apply
$200k – $300k per year • In office • Full-Time • San Francisco
AI/ML
Claude
OpenAI
Anthropic
Exa
DevOps
GCP
Azure
AWS
Apply
Enterprise Sales 1 day ago
$150k – $250k per year • Equity 0.5–1% • In office • Full-Time • 3+ years exp • San Francisco
AI/ML
Claude
AI Agents
Mastra
Apply
$220k – $325k per year • Equity 0.2–1% • In office • Full-Time • 3+ years exp • San Francisco
Cybersecurity
HIPAA
Apply
$215k per year • In office • Full-Time • 3+ years exp • San Francisco
Management
Slack
Marketing
Salesforce
Apply
Founding Engineer 1 day ago
$110k – $180k per year • Equity 0.1–1% • In office • Full-Time • San Francisco
Python
JavaScript
Node JS
AI/ML
Vertex AI
OpenAI
Anthropic
Frontend
Next.js
React.js
DevOps
Azure
Kubernetes
Apply
$60k – $84k per year • In office • Internship • San Francisco
Python
JavaScript
TypeScript
AI/ML
Copilot
Cursor
Claude
Claude Code
Model Context Protocol
Vertex AI
AI Agents
LLM
OpenAI
Anthropic
LLM Guardrails
Tool Use
Frontend
Next.js
React.js
DevOps
Azure
AWS
Kubernetes
Apply
See all jobs
This is one of many
795,151 more open roles from verified company boards, updated every day.