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# Deal Desk Analyst

Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move.

[Apply for this job](#job-application)[View company](https://jobicy.com/company/apollo-io.md)Share2 Sep 2026Published21Listing views0Application actions2 Oct 2026Apply before  Opportunity details

## About this role.

AI SummaryApollo.io is hiring a Deal Desk Analyst to support commercial deal execution while improving the systems and processes behind quote-to-cash operations. The role reviews non-standard order forms, routes exceptions, audits closed-won opportunities, and reconciles Salesforce records against contract data before billing or provisioning issues occur. The analyst will build scalable runbooks, approval matrices, intake workflows, documentation, and exception-management practices. Success requires 4-6 years of Deal Desk, Revenue Operations, Sales Operations, or related experience, plus strong Salesforce, CLM, analytical, and cross-functional communication capabilities.

## Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

### Job Complexity

4/5EasyHard

### Pace & Pressure

4/5RelaxedFast-paced

### Autonomy Level

5/5GuidedFull ownership

### Communication Load

5/5IndependentCollaborative

AI insightThis is a mid-level operations role requiring independent judgment on contract and order-form exceptions, data reconciliation, and process design. The work is complex because it spans Sales, Legal, Finance, RevOps, Engineering, billing, and provisioning systems while operating in ambiguity.

## Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job medianHighly competitive$137,250US market range$105k–$155k0$171k

AI insightThe disclosed annual total-cash range is $112,600 to $161,900 USD across US location tiers, producing a midpoint of $137,250. A competitive US market range for a Deal Desk Analyst with 4-6 years of SaaS, Salesforce, and CLM experience is estimated at $105,000 to $155,000 annually; the stated range is competitive, particularly for higher-cost Tier 1 markets.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[Deal Desk](https://jobicy.com/jobs?search_keywords=Deal%20Desk.md)[Revenue Operations](https://jobicy.com/jobs?search_keywords=Revenue%20Operations.md)[Sales Operations](https://jobicy.com/jobs?search_keywords=Sales%20Operations.md)[Salesforce](https://jobicy.com/jobs?search_keywords=Salesforce.md)[Quote-to-Cash](https://jobicy.com/jobs?search_keywords=Quote-to-Cash.md)[Contract Review](https://jobicy.com/jobs?search_keywords=Contract%20Review.md)[Order Management](https://jobicy.com/jobs?search_keywords=Order%20Management.md)[CLM](https://jobicy.com/jobs?search_keywords=CLM.md)[Data Reconciliation](https://jobicy.com/jobs?search_keywords=Data%20Reconciliation.md)[Process Improvement](https://jobicy.com/jobs?search_keywords=Process%20Improvement.md)

Sample interview questionsDescribe how you would review a non-standard order form and decide whether it requires escalation.I would validate the order form against approved pricing, terms, product configuration, billing requirements, and the relevant approval matrix. I would document deviations in an exception log, identify the appropriate owner such as Legal, Finance, or Sales leadership, and provide a concise summary of the risk and recommended path so the issue can be resolved efficiently.

How would you use post-close audits to reduce billing or provisioning errors?

I would establish a repeatable audit comparing closed-won Salesforce fields with executed contract and order-form data, then classify discrepancies by type, severity, source, and downstream impact. I would use trend analysis to distinguish isolated mistakes from recurring process, field-mapping, template, or enablement problems, then track corrective actions through measurable reductions in repeat errors.

What Salesforce data-quality issues are most important in a Deal Desk environment?

Critical issues include inaccurate product, pricing, term length, billing cadence, legal entity, renewal, discount, approval, and provisioning fields. I would also focus on inconsistencies between opportunity, quote, contract, and order records because these can create downstream revenue-recognition, invoicing, or provisioning failures.

Tell us about a time you turned a recurring operational issue into a scalable process improvement.

I would first quantify the frequency and impact of the issue using ticket, exception, or reconciliation data. After identifying the root cause with stakeholders, I would create a durable solution such as an intake validation rule, updated template, approval workflow, documented runbook, or system enhancement, and then monitor adoption and error rates to confirm it solved the problem.

How would you communicate a deal issue involving an account executive, Legal, and Finance?

I would tailor the communication to the decision needed while keeping all parties aligned on the facts. For example, I would summarize the requested exception, contractual or financial implications, required approvals, owner for each next step, and deadline, then close the loop once the final decision and required system updates are complete.

[Apollo.io](http://apollo.io/) is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies and millions of users globally, from rapidly growing startups to some of the world’s largest enterprises. Founded in 2015, the company is one of the fastest growing companies in SaaS, raising approximately $250 million to date and valued at $1.6 billion. [Apollo.io](http://apollo.io/) provides sales and marketing teams with easy access to verified contact data for over 210 million B2B contacts and 35 million companies worldwide, along with tools to engage and convert these contacts in one unified platform. By helping revenue professionals find the most accurate contact information and automating the outreach process, [Apollo.io](http://apollo.io/) turns prospects into customers. Apollo raised a series D in 2023 and is backed by top-tier investors, including Sequoia Capital, Bain Capital Ventures, and more, and counts the former President and COO of Hubspot, JD Sherman, among its board members.

### What You’ll Do

Key Outcomes: Success in this role will be measured by your ability to:

* Own day-to-day deal support and use it to raise the floor. Review in-flight order forms for non-standard terms and route exceptions before they hit Legal or provisioning. Beyond the throughput, you’ll help guide quality standards, exception taxonomy, and intake criteria to build from patterns and create cleaner systems and processes over time.
* Turn post-close opportunity review into a systemic feedback loop. Audit closed-won deals for accuracy between Salesforce and contract data, and surface reconciliation gaps before they hit billing or provisioning. Use those findings to diagnose root causes — whether that’s a SFDC field mapping issue, an Ironclad template gap, or a rep behavior — and drive the fixes upstream so the same error doesn’t recur.
* Build and own the Deal Desk operating system. Design and maintain the runbooks, approval matrices, intake workflows, and deal-type documentation that let the team scale. The goal is a Deal Desk that’s self-serve by default and escalation-by-exception.
* Contribute to the infrastructure that replaces the workarounds. Translate operational pain points into structured, credible input for engineering and RevOps. The best analysts in this role won’t just document problems; they’ll help design the systems that make them disappear.

What we’re looking for:

* 4-6 years in Deal Desk, Revenue Operations, Sales Operations, or a related commercial function, with direct experience in contract review, deal structuring, or order management.
* Salesforce proficiency — comfortable navigating Opportunity and related child objects, pulling reports, and spotting data quality issues. You understand how SFDC connects to the broader quote-to-cash toolset.
* Systems thinker with a builder’s bias. When you encounter a recurring problem, your instinct is to figure out why it keeps happening and fix the process, not just close the ticket. You document what you learn, build the thing that prevents the next ten instances, and measure whether it worked.
* Comfortable operating in ambiguity. Both in systems and in process execution, this role requires someone who can hold the current state together while contributing to what replaces it, without needing perfect clarity to move forward.
* Clear cross-functional communicator — equally comfortable fielding a question from an AE, looping in Sales leadership and Legal into a redline, or writing a clean summary for Finance. Knows how to effectively close the loop.
* Analytical and structured — Able to build a post-close audit tracker, an exception log, or a reconciliation report without significant support, and turn the output into a recommendation, not just a table.
* Experience with CLM or order form tooling (Ironclad, DocuSign CLM, Conga, or similar).

The listed Pay Range reflects the total cash compensation inclusive of annual base salary and annual bonus as applicable. For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonus target and annual base salary for the role. This salary range may be inclusive of several career levels at Apollo and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role who are not located in the US may request the annual salary range for their location during the interview process.

Additional benefits for this role may include: equity; company bonus or sales commissions/bonuses; 401(k) plan; at least 10 paid holidays per year, flex PTO, and parental leave; employee assistance program and wellbeing benefits; global travel coverage; life/AD&D/STD/LTD insurance; FSA/HSA and medical, dental, and vision benefits.

Tier 1 Pay Range (San Francisco, New York City, Seattle)

$129,600—$161,900 USD

Tier 2 Pay Range (All other US Locations)

$112,600—$140,800 USD

### We are AI Native

Apollo.io is an AI-native company built on a culture of continuous improvement. We’re on the front lines of driving productivity for our customers—and we expect the same mindset from our team. If you’re energized by finding smarter, faster ways to get things done using AI and automation, you’ll thrive here.

### Why You’ll Love Working at Apollo

At Apollo, we’re driven by a shared mission: to help our customers unlock their full revenue potential. That’s why we take extreme ownership of our work, move with focus and urgency, and learn voraciously to stay ahead.

We invest deeply in your growth, ensuring you have the resources, support, and autonomy to own your role and make a real impact. Collaboration is at our core—we’re all for one, meaning you’ll have a team across departments ready to help you succeed. We encourage bold ideas and courageous action, giving you the freedom to experiment, take smart risks, and drive big wins.

If you’re looking for a place where your work matters, where you can push boundaries, and where your career can thrive—Apollo is the place for you.

Learn more [here!](https://www.apollo.io/we-are-apollo)

Show more

[Apply now >](https://jobicy.com/jobs/152373-deal-desk-analyst-3.md)

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