We're building the creative layer for modern communication. Every month, over a billion people make presentations — but the tools they use to make them haven't evolved in decades. We're changing that, using AI to disrupt a massive market.
📈 Millions of people rely on Gamma to create, teach, and persuade, creating more than 1 million gammas every day.
💻 We see Gamma as the next great workplace tool, combining viral B2C love with a massive B2B opportunity. We believe AI can be a true creative partner: one that understands context, clarity, and taste.
💸 We’ve reached a $2.1B valuation, crossed $100M in annual recurring revenue, and have been profitable since 2023.
💙 We're an imaginative, passionate team who takes our work seriously, but not ourselves. Our culture is warm, a little quirky, and fueled by curiosity.
You'll own the core models and prompts that power Gamma. We weave together text, image, and layout generation to automate all the drudgery of building presentations and websites, and we use AI throughout our product. Your job is to elevate quality, evaluate new models, and push the frontier with new features and modalities.
This role is about productizing existing models, not training new ones. You'll focus on prompting, evaluating, and fine-tuning foundation models for maximum performance. With over 1 million AI-generated presentations and 6 million AI images created daily, you'll work at massive scale. You'll own our existing LLM and image prompts, build evaluation frameworks to measure quality, and constantly test new frontier models and methods. You'll also launch new modalities like voice and video, curate datasets for fine-tuning, and own uptime, latency, and costs.
You'll succeed here if you're a tinkerer who loves pushing the limits of foundation models. You need strong software engineering skills in TypeScript and Python, a data-driven approach to raising AI quality, and experience building and evaluating prompts at scale. If you get excited about mixing prompt engineering with traditional software engineering to unlock new AI capabilities, this is your role.
Prompt hacker: You're a tinkerer who loves seeing how far you can push the limits of a foundation model, with experience building and evaluating prompts at scale
Software engineer: Experienced developer comfortable in TypeScript and Python, excited about mixing prompt engineering with traditional software engineering
Data-driven: You embrace using data to raise the bar of AI quality, with skills in writing evals, designing metrics, and turning qualitative feedback into quantitative measures
Self-sufficient in gathering and cleaning data to inform prompt improvements and model evaluations
Experience working with modern LLMs, plus image models like Flux and Imagen (Nice to have)
Familiarity with AI tooling like AIJSX for prompting and Braintrust for evaluations (Nice to have)
$180K - $300K, plus competitive equity.
Final offer amounts are determined by multiple factors, including but not limited to experience and expertise in the requirements listed above.
If you're interested in this role but you don't meet every requirement, we encourage you to apply anyway! We're always excited about meeting great people.
Our tech stack:
We're building on a full Typescript stack centered around some of the most modern and popular technologies.
Frontend
ProseMirror / Tiptap / YJS for collaboration
Backend
Infra: Terraform, ECS Fargate
AI
We use our own custom, open-source AI prompting framework, AIJSX. We have a lot of custom tools built in-house, but also new ones like Vercel AI SDK.
Full end-to-end observability using Datadog, Braintrust, and our own data warehouse
🤝You’ll fit right in if…
💙 Who we are
Gamma is full of imaginative, passionate people who take their work seriously but not themselves. The culture is warm, a little quirky, and fueled by curiosity. It’s the kind of place where you’ll debate a pixel on Monday, laugh over someone’s keyboard setup on Tuesday, and ship something remarkable by Friday.
We care about craft, move with intention, and don’t mind getting a little scrappy. It’s fast, creative, and occasionally chaotic — but that’s what makes it interesting.
💬Here’s a bit about what it’s like to work here, from people on the inside:
We asked the team what makes Gamma, Gamma. Here were some of their answers:
We're a team of dreamers and doers building in beautiful San Francisco 🌉
We're kabbadi enthusiasts, pickleballers, dog herders, woodworkers, keyboard nerds, potters, and more — and we can't wait to meet you!