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
You'll build the AI-native GTM systems and data infrastructure that turns product usage signals into enterprise sales opportunities. This means creating systems that identify which accounts should talk to sales, when they're ready, and why—bridging product data and go-to-market teams to leverage Gamma's PLG flywheel for enterprise growth. You'll define how we surface buying signals, automate account research, and operationalize intelligence that directly impacts pipeline.
This is a critical 0→1 role at the intersection of data, product, and revenue. You'll build Product Qualified Lead identification systems, design AI-powered lead scoring models, and implement data pipelines that give sales and customer success real-time visibility into engagement and expansion signals. You'll partner with Product and Data teams to instrument tracking, ensure data quality, and continuously improve how we identify and convert high-intent accounts.
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.
What you'll do
- Build Product Qualified Lead (PQL) identification systems that surface enterprise buying signals based on team expansion, engagement, feature adoption, and company attributes
- Build AI agents for automated account research using LLM APIs to analyze company websites, news, funding events, and tech stacks, generating personalized talking points
- Design and implement data pipelines from product usage data to HubSpot, enabling sales and CS teams to see real-time engagement, usage trends, and expansion signals
- Create AI-powered lead scoring models using machine learning algorithms combined with product behavior, firmographics, and engagement patterns to predict conversion
- Build dashboards and reporting that give sales, CS, and leadership visibility into account health, product adoption, expansion opportunities, and churn risk
- Implement reverse ETL infrastructure using tools like Census, Hightouch, or custom solutions to ensure product data flows seamlessly into GTM systems
What you'll bring
- 3–5 years of experience in a GTM Engineer, Growth Engineer, Revenue Ops, or Analytics Engineering role at a PLG B2B SaaS company
- Strong technical foundation in Python and SQL with experience building data pipelines, ETL/reverse ETL workflows, and integrating product data with GTM systems
- API integration experience and expertise with workflow automation tools like n8n, Zapier, Make, or Tray.io for building API-driven workflows
- Deep understanding of PLG metrics and CRM systems with ability to operationalize activation, engagement, and expansion signals in HubSpot or Salesforce
- Proven impact and business acumen with track record of building systems (PQL models, AI agents, predictive analytics) that drove measurable pipeline or revenue
- Scrappy builder mindset with ability to balance custom builds vs. off-the-shelf tools and iterate based on feedback
- (Nice to have) Data warehouse experience (Snowflake, BigQuery, Redshift) and familiarity with dbt or similar transformation tools
- (Nice to have) Previous experience helping build the early data systems fueling the transition from PLG to enterprise (Figma, Notion, Slack, Miro, Airtable)
- (Nice to have) Production machine learning experience building, deploying, and monitoring predictive models
Compensation range:
$170K - $215K, 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.
GTM at Gamma
We believe Gamma's storytelling platform will make people happier at work.
Let's be real: no one likes building decks. And yet, they're a necessary part of work life. We're on a mission to free orgs from the drudgery of deck building, while dialing up the magic of storytelling and turning dread into delight.
We care deeply about our customers' success.
If we don't think they'll get real ROI from Gamma, we won't sell it to them. Customer success drives all of what we do — from our first interaction with them, to their umpteenth renewal. We aim to help our customers win the next pitch, land the compelling case, drive employee satisfaction, and let storytelling reign.
Our tiny team has massive impact and reach:
1 million
AI generated presentations daily
6 million
AI images generated daily
1 trillion
LLM tokens processed per month
… all driven by customer value.
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!
