About us
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.
About the role
As the technical backbone of Gamma's support team, you'll resolve complex issues and ensure millions of users have an excellent experience with the product. That means responding to escalations, debugging tricky problems, collaborating with engineering to fix bugs, and building the technical resources that help users help themselves. Your work directly impacts user satisfaction and feeds back into product improvements.
Day to day, you'll partner with engineering, design, and product to surface patterns from customer feedback, improve internal support tooling, and help shape how we respond to issues at scale. You'll also proactively monitor user-generated content to identify potential abuse or policy violations, helping keep Gamma a safe and trusted platform.
Our team has a strong in-office culture and works in person 4–5 days per week in San Francisco. We love working together to stay creative and connected, with flexibility to work from home when focus matters most.
Job Description
- Manage and optimize existing LLM and image generation prompts to improve output quality
- Develop and implement complex prompts for new features and capabilities and design and optimize AI data pipelines for data collection
- Build evaluation frameworks to assess prompt and model performance
- Conduct user interviews and monitor quality metrics and user feedback to identify areas for improvement
- Create and maintain test sets for consistent quality assessment and develop and implement AI model evaluation frameworks
- Build evaluation platforms to evaluate emerging AI models and methods to determine potential product applications and assess product and feature quality
- Implement fine-tuning processes for open-source language models and LoRAs (Low-Ranking Adaptation of Large Language Models)
- Integrate new AI modalities such as voice and video into the product
- Develop analytics and tracking systems to monitor AI performance using Snowflake platform and DBT (data build tools)
- Crafting new evaluation techniques to ensure optimal uptime, latency, and cost-efficiency of AI systems and build engagement tracking tools using SQL and Python
- Lead product roadmap and strategy and collaborate with product, design, and engineering teams to implement AI capabilities
Minimum Requirements:
- Master's (or foreign equiv.) degree in Business Analytics, Information Systems, Data Science, or a related field
- 1 year of experience in the job offered or a related occupation
Specific Skill Requirements:
- Developing and implementing AI model evaluation frameworks
- Using SQL, DBT , Snowflake, and Python to build AI-driven analytics tools
- Designing and optimizing AI data pipelines for data collection
- Crafting new evaluation techniques from scratch Experience with "LoRAs" (Lower Rank Adaptation of Large Language Models)
- Leading product roadmap and strategy
- Developing analytics and tracking systems
- Building engagement tracking tools using SQL and Python Conducting user interviews
- Building evaluation frameworks to assess product and feature quality
Compensation range:
The base salary for this full-time position, which spans multiple internal levels depending on qualifications, ranges between $225K - $250K plus benefits & equity.
Final offer amounts are determined by multiple factors, including but not limited to experience and expertise in the requirements listed above.
Life at Gamma
🤝 You’ll fit right in if…
- You get energy from small teams doing big things.
- You love when design, code, and storytelling overlap.
- You default to action, even when the answer isn’t clear yet.
- You value details, but know when to ship and move on.
- You bring both the spreadsheets and the sparkle, equal parts workhorse and unicorn.
- You believe AI should amplify creativity, not replace it.
- You know kindness and intensity are not opposites.
- You like working with people who care deeply: about their craft, their teammates, and the users on the other side of the screen.
💙 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:
- "quirky, inspiring, fun, a little wild in the best way"
- "You can have an idea and just run with it."
- "Everyone’s talented and humble — the mix keeps you sharp."
- "We ship cool stuff, learn a ton, and laugh a lot doing it."
Meet the team
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!
