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.
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.
In this role, you will:
Co-host developer meetups with partners in our ecosystem. Find the right speakers, build the relationships, and run the events together. Prior examples: High Performance Inference for Open LLMs, Voice AI Builders Night, RL with Modal and Prime Intellect, FDE Happy Hour.
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.
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.
Skills Required
- Experience running events or building community ably
- Strong written and verbal communication skills
- Comfortable working in person in SF and fast-paced startup
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.
