Regional Director

Posted 5 Days Ago
Be an Early Applicant
3 Locations
In-Office
Senior level
Machine Learning • Generative AI
The Role
Lead and scale an enterprise sales team to drive strategic revenue growth. Own full enterprise sales cycles, coach AEs, build playbooks and forecasting, collaborate cross-functionally, drive pipeline and establish processes and metrics to ensure consistent quota attainment.
Summary Generated by Built In

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 Lovable, 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 recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September.

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.

About the Role:

As a Manager, Enterprise Sales, you will lead and scale our enterprise sales team, driving strategic revenue growth with a consultative, customer-first approach. You will oversee complex deal cycles, coach Enterprise Account Executives, and build the motion that wins high-impact, multi-stakeholder deals in a rapidly evolving AI landscape.

What You’ll Do

  • Lead, mentor, and develop a team of Enterprise Account Executives, fostering a culture of performance, strategic thinking, and collaboration

  • Own and guide the full enterprise sales cycle, from targeted outbound and discovery to multi-threaded navigation, negotiation, and close

  • Build and refine enterprise sales playbooks, qualification frameworks, and forecasting models that increase accuracy and velocity

  • Collaborate cross-functionally with Product, Marketing, and Engineering to align on go-to-market strategy, unblock enterprise requirements, and deliver seamless customer experience

  • Drive pipeline generation strategy and help shape top-of-funnel programs

  • Establish enterprise sales processes, performance metrics, and best practices that ensure consistent quota attainment across the team

Who You Are

  • A proven enterprise sales leader with experience closing large, complex deals and managing high-performing teams

  • Skilled in multi-threading, stakeholder alignment, and navigating procurement, legal, security review, and executive-level conversations

  • A strong coach who helps Account Executives sharpen discovery, messaging, deal strategy, and negotiation

  • Highly strategic and structured, able to build repeatable systems and scalable enterprise sales motions

  • Comfortable owning forecasts, running deal reviews, and driving predictable revenue outcomes

Skills Required

  • Proven enterprise sales leader with experience closing large, complex deals
  • Experience managing and developing high-performing enterprise sales teams
  • Skilled in multi-threading, stakeholder alignment, procurement, legal, and security review processes
  • Strong coaching ability to improve discovery, messaging, deal strategy, and negotiation
  • Experience building repeatable systems, enterprise sales playbooks, qualification frameworks, and forecasting models
  • Comfortable owning forecasts, running deal reviews, and driving predictable revenue outcomes
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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