GTM Ops Manager, Quote to Cash

Clay Labs clay.com Open · verified Sep 24, 2026

Hybrid New York Full-time Manager Revenue & Sales Operations

At a glance

Mid-level Revenue & Sales Operations role at Clay Labs. New York · full-time · $140,000–$170,000 base.

SalaryStated by Clay Labs

$140,000 – $170,000

Base salary for this role, in USD per year, as published in the posting.

RoleRevenue & Sales Operations

SeniorityManager

LocationNew York

WorkplaceHybrid

EmploymentFull-time

Base pay$140,000–$170,000

PostedMay 22, 2026 · 4mo ago

Role brief

Growth Roles summary, based on the employer's posting.

What you'll do

Run sales compensation from plan structure through payment calculations and performance reporting
Shape forecasting and sales policies with Sales and Finance leaders, including accelerators, SPIFFs, RoEs, and exceptions
Create AI agents for contract checks, compensation questions, invoice matching, and opportunity-to-order anomaly detection
Work with Finance on accruals, period close, and revenue recognition for consumption-based billing
Own the workflow from a closed deal through the representative’s compensation payment

What you bring

At least four years working across Quote-to-Cash, preferably in SaaS or technology consulting
Strong, hands-on Salesforce experience
You instinctively look for an AI agent to solve recurring work before submitting a support request
Salesforce CPQ certification or an equivalent credential is an advantage
Experience implementing ICM systems such as CaptivateIQ, Xactly, or Everstage is an advantage

Who this fits

You’ll suit a hands-on operator who can own Quote-to-Cash workflows while advising Sales and Finance leadership. The role is based in New York and uses a hybrid setup. Compensation is listed at $140,000 to $170,000 per year.

From the employer

About Clay

AI is unleashing the biggest wave of company creation in history. Clay's mission is to be the engine those companies use to grow to their full potential.

Clay predicts the next best action for your business and then helps you take it. We started by aggregating the best data for B2B companies. Then, we built the infrastructure to run any personalized campaign on top of it, including emails, ads, landing pages, and workflows that make reps more productive. Now, we're building agents that can help grow your company for you. We're already helping thousands of customers — including Anthropic, OpenAI, Google, and Visa — go to market with unique data, signals, and AI research.

In 2026, we raised a $115M Series D at $7.1B Valuation led by Wellington — and are on track to cross $200M in revenue this quarter. We also launched a $1M Scholarship fund for GTME Education.

Some things to know about us:

Our community includes 17,000+ customers, 200+ integration partners, 125+ agencies, 50+ Clay clubs, and 30k members on Slack.
Our culture is unique inside and outside of work. Our team members are also DJs, activists, writers, clowns, marathoners, skydivers, psychedelic therapists, social workers, and more.
All employees can work with world-class coaches who specialize in creativity, management, and more.
Our operating principles — including negative maintenance and non-attached action — guide our work. Read more about them here.
Read about us in the NYT, Forbes, First Round Review, and more.

Hear from our employees directly on our Glassdoor page!

GTM Ops Manager @ Clay

We're hiring a GTM Engineer to lead Sales Compensation with our Opportunity-to-Order process. Most teams treat AI as a layer on top of their revenue stack. We're building it into the foundation. You'll architect the systems and the agents that run them.

What You'll Do:

Lead Sales Compensation end-to-end: plan design, logic, payouts, and analytics
Advise Sales and Finance leadership on Forecasting and Sales Policy design: accelerators, SPIFFs, RoEs, exceptions
Build AI agents that automate the grind: contract review, comp inquiries, invoice reconciliation, anomaly detection during Opportunity to Order process
Partner with Finance on accruals, close, and rev rec for our consumption model
Own everything between "deal closed" and "rep paid"

What You'll Bring:

4+ years in Quote-to-Cash, ideally at a SaaS company or technology consulting company
AI-native instincts — you reach for an agent before filing a ticket
Deep Salesforce experience
Low ego, high ownership

Bonus points:

Salesforce CPQ Certification or equivalent
You've shipped LLM-powered workflows in a revenue stack
Series B-E scaling experience
ICM implementation Experience (CaptivateIQ, Xactly, Everstage)