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 https://modal.com/blog/lovable-case-study, Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, 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 https://modal.com/blog/modal-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 https://github.com/mwaskom/seaborn, Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
About 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 Do:
- Own the lead routing process from inbound and partnering with marketing to ensure proper attribution
- Run effective territory management & strategy for Geo based decisioning
- Support & strategise every aspect of revenue operations in your territory
- Own the strategy for capacity forecasting, inputs, throughputs & outputs being the conduit back to finance in the US for effect capacity forecasting
- Input and strategy for comp based decisioning and benchmarking
- Support leadership in overall regional operations & finance strategy across all functions, sales, pre, ecosystem etc
- Evaluate new tools in 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.
What You Bring:
- A builder's mentality; you identify gaps, propose solutions, and execute without being asked twice.
- The ability to zoom out and think strategically while staying close enough to the work to get your hands on the keyboard.
- Strong proficiency in HubSpot, with a track record of building reporting and workflows that drive accountability.
- An AI-forward mindset: you actively use AI in your work and are excited to pioneer its use in go-to-market operations.
- Strong communication and collaboration skills; you earn trust across Sales, Marketing, and Finance.
- A player-coach orientation; you're not above the details and you're excited to own the work yourself
Requirements:
- 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, deal desk.
- Deep proficiency in workflows, lifecycle stages, custom properties, 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 deals desk, you know what makes a contract clean and you catch errors before they become problems.
- 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.
Listed by Modal Labs for a position based in the United States. Employers on this board attest they are hiring domestically.
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 https://modal.com/blog/lovable-case-study, Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, 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 https://modal.com/blog/modal-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 https://github.com/mwaskom/seaborn, Luigi https://github.com/spotify/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
Listed by Modal Labs for a position based in the United States. Employers on this board attest they are hiring domestically.
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 Lovable https://modal.com/blog/lovable-case-study, Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, 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 https://modal.com/blog/modal-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 https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
THE ROLE:
We're looking for a People Operations Generalist to join our growing People team. You'll touch the employee lifecycle end-to-end — from offer acceptance through offboarding — while helping to build the processes and documentation that let our People function scale with the business.
This is a great fit for a highly organized, systems-oriented people person who thrives in a fast-paced environment and wants to build operational foundations, not just maintain them.
What you’ll do
- Own and continuously improve the new hire onboarding experience, ensuring employees are set up for success and internal tasks are tracked and completed on time.
- Serve as a first point of contact for employee questions across the full HR spectrum, triaging and routing more complex issues to the right People team member or external partner.
- Maintain and improve self-service resources (FAQs, Notion pages, etc.) so employees can find what they need quickly — and always feel supported even when no one's in the room.
- Support rollouts of new People programs and policies, including communication planning, manager enablement, and documentation.
- Help bring employee experience programs and events to life, from team offsites to milestone recognition, that reinforce culture and make people feel valued.
- Process employee changes (promotions, equity refreshes) accurately and on time, including preparing updated employment letters and maintaining compliant employee files.
REQUIREMENTS:
- 2+ years of People Operations experience, preferably at a high-growth startup.
- Demonstrated ability to build and document HR processes from the ground up, not just execute existing ones.
- Strong written communication: you write clearly, keep things simple, and know your audience.
- Experience managing employee data with accuracy and discretion.
- Comfortable handling competing priorities without losing track of the details.
Listed by Modal Labs for a position based in the United States. Employers on this board attest they are hiring domestically.
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 , , 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 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.
The Role:
Modal is the cloud platform built for AI. We're used by the world's leading AI labs, startups, and researchers to run compute-intensive workloads: training runs, inference, sandboxed code execution, and more.
We're hiring a Community Manager in SF to make Modal a fixture in the AI developer community. You'll bring developers together through meetups, hackathons, and events of our own, and build the kind of community that keeps showing up.
You know how to rinse and repeat the process, but always with a creative bend.
Sponsor hackathons that attract highly technical engineers and researchers in ML and AI Infra. For example: Autoresearch Hackathon with OpenAI, TreeHacks, HackIllinois.
Own and grow the webinar program: Partner with Modal engineers and FDEs to identify topics, speakers, promotion, and turning attendance into funnel growth.
Run creative events that break the standard. For example: eBPF documentary screening, Modal Art Show with Gray Area, etc.
Help community members run their own Modal events. Build the playbooks, templates, and support that let other people host meetups under the Modal banner, so events scale past what one person can run.
Turn events into content and campaigns. Work with Marketing so every event produces recaps, clips, talks, and stories that reach people who weren't in the room.
Own events end to end: venues, partners, speakers, logistics, promotion, day-of, and follow-up.
Track what's working: attendance, downstream signups and adoption and users within target accounts. Do more of what pulls and cut what doesn't.
Requirements:
A track record running events or building community. You've organized meetups, conferences, hackathons, or similar, and can point to specific ones that worked.
Plugged into the SF AI and developer scene, or able to get there fast. You know which companies, projects, and people are worth partnering with — and which trends and movements are worth jumping on, inside and outside of tech (e.g. agents, mahjong, board game nights).
Strong written and verbal communication. You'll represent Modal to developers, partners, and speakers, sometimes on stage.
Good judgment about what's worth doing. Not every event or sponsorship is worth the time, and you can tell the difference.
Organized and self-directed. This role runs many events and partner relationships at once.
Comfortable working in person in SF in a fast-paced startup environment.
Nice to have:
Existing relationships across the SF AI ecosystem: companies, open-source projects, DevRel teams, other community organizers.
Experience in developer marketing or DevRel.
Experience building a community-led or ambassador program.
Familiarity with Modal or the AI infrastructure space.
Listed by Modal Labs for a position based in the United States. Employers on this board attest they are hiring domestically.