Modal
Developer Relations Engineer
San Francisco
Sponsorship not specifiedDetected 321 days ago
ValuationCommunication
About the role
- That's how we grew so quickly, and why word of mouth remains one of our most important channels today.
- This content will be the first Modal touchpoint for many of our users.
- We want to not only showcase the power and developer experience of Modal, but also serve as a trusted resource for them when implementing new AI technologies.
Responsibilities
- Build relationships, integrations, and joint marketing activities with other developer-focused companies
Requirements
- Set objectives that are aligned with the greater GTM team and track the impact of the initiatives you work on.
Nice to have
- you're not afraid to think outside the box when it comes to compelling technical content.
- you already have a developer following on social media!
Skills
- 3+ years as a software engineer
- Is energized by the AI developer community and wants to help developers adopt new technologies.
- Loves teaching.
- Has excellent technical communication skills.
- Is metrics-driven and takes quantitative approaches to prioritizing initiatives.
- Is excited about working in-person in the NYC, SF or Stockholm office.
- Give demos/talks about Modal and adjacent tools at developer events.
Company info
- 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.
- 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.
- Modal builds AI infrastructure products that developers love.
- In this role, you will primarily create and distribute technical content that is unique, educational, and practical.
- In this role, you will:
- Distill the latest advancements in AI technology and educate developers on how to incorporate them.
- Engage with users in our community, both online (X, LinkedInReddit, Slack) and at in-person events.
This listing is sourced directly from Modal's careers page and normalized into a canonical job model.