Revenue Operations

Reposted 2 Months Ago
2 Locations
In-Office
180K-200K Annually
Mid level
Machine Learning • Generative AI
The Role
Own end-to-end revenue operations for a regional sales territory: lead routing, territory strategy, capacity forecasting, deal desk support, commission administration, closed-won handoffs, and build dashboards and workflows to improve CRM hygiene, pipeline visibility, and sales efficiency.
Summary Generated by Built In
About Us:
AI needs a new infrastructure layer. We're building it at Modal.

Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.


Our customers include category-defining companies like Ramp, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.


We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation.


Our team includes creators of popular open-source projects (e.g.,Seaborn,Luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.

The Role:

We’re seeking a Revenue Operations Manager with a strong track record, a builder’s mindset, and a bias for action to join our in-person team in New York or SF.

This is a high-impact, hands-on role. You’ll own the entire revenue operations function, from top-of-funnel lead routing through deal close and commission administration. You’ll work closely with our Head of Finance & People Ops and sales leadership to build the systems, dashboards, and processes that scale our go-to-market motion.

What You’ll Work On:
  • Own the inbound lead routing process, partnering with Marketing to ensure proper attribution

  • Run territory management and strategy for geo-based decision-making

  • Support and strategize on every aspect of revenue operations in your territory

  • Own capacity forecasting strategy, including inputs, throughputs, and outputs, and serve as the conduit back to Finance in the US for effective capacity forecasting

  • Provide input and strategy on comp-based decisions and benchmarking

  • Support leadership on overall regional operations and finance strategy across all functions, including sales, presales, and ecosystem

  • Evaluate new tools on the market and be responsible for improving the efficiency and effectiveness of the sales team

  • Build and maintain dashboards, leaderboards, and pipeline reporting to give leadership real-time visibility

  • Monitor deal progression and hold reps accountable for CRM hygiene and accuracy

  • Support deal reviews at the pricing and negotiation stages, coordinating with outside counsel as needed

  • Own the closed-won process from signature through handoff to post-sale

  • Administer commission plans across the sales org, ensuring accurate and timely calculations and serving as the source of truth for comp-related questions

You May Be a Fit If:
  • You have 3–7 years in Sales Operations or Revenue Operations at a high-growth, usage-based sales organization

  • You’ve built core GTM infrastructure before: lead routing, CRM architecture, pipeline reporting, commission administration, and deal desk

  • You have deep proficiency in CRM workflows, lifecycle stages, custom properties, and data hygiene

  • You’ve owned commissions end-to-end: building the model, calculating payouts, fielding rep disputes, and keeping it reconciled with Finance

  • You’ve run a deal desk, know what makes a contract clean, and catch errors before they become problems

  • You’re strong in Excel or Google Sheets: you can build a pipeline coverage model and know which metrics actually matter

  • You’ve earned trust with a sales team by making their lives easier while holding them accountable to process

  • You have a builder’s mentality: you identify gaps, propose solutions, and execute without being asked twice

  • You can zoom out and think strategically while staying close enough to the work to get your hands on the keyboard

  • You have an AI-forward mindset: you actively use AI in your work and are excited to pioneer its use in go-to-market operations

  • You have strong communication and collaboration skills and earn trust across Sales, Marketing, and Finance

  • You’re a player-coach: you’re not above the details, and you’re excited to own the work yourself

 

Skills Required

  • 3-7 years in Sales Operations or Revenue Operations at a high-growth usage-based sales organization
  • Built core GTM infrastructure: lead routing, CRM architecture, pipeline reporting, commission administration, deal desk
  • Strong proficiency in HubSpot, building reporting and workflows that drive accountability
  • Deep proficiency in workflows, lifecycle stages, custom properties, and data hygiene
  • Owned commissions end-to-end: model building, calculating payouts, handling rep disputes, reconciling with Finance
  • Run a deals desk and review contracts to catch errors before they become problems
  • Strong Excel or Google Sheets skills; able to build pipeline coverage and forecasting models
  • Strong communication and collaboration skills; earn trust across Sales, Marketing, and Finance
  • Builder's mentality: identify gaps, propose solutions, and execute
  • Player-coach orientation; willing to do detailed hands-on work while coaching others
  • AI-forward mindset; actively use AI in work and pioneer AI use in GTM operations
Am I A Good Fit?
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The Company
HQ: San Francisco, California
50 Employees

What We Do

Deploy generative AI models, large-scale batch jobs, job queues, and more on Modal's platform. We help data science and machine learning teams accelerate development, reduce costs, and effortlessly scale workloads across thousands of CPUs and GPUs. Our pay-per-use model ensures you're billed only for actual compute time, down to the CPU cycle. No more wasted resources or idle costs—just efficient, scalable computing power when you need it.

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