---
title: 'Software Engineer, Data Systems at Gamma'
canonical: 'https://feeny.ai/job/software-engineer-data-systems-gamma-san-francisco-9rdvj51h48p4'
type: 'job'
last_seen: '2026-09-05'
---

# Software Engineer, Data Systems at Gamma

- **Company:** Gamma
- **Location:** San Francisco, CA
- **Compensation:** $230k–$310k
- **Employment:** full-time
- **Posted:** 2025-11-10
- **Last confirmed live:** 2026-09-05
- **Apply:** https://jobs.ashbyhq.com/Gamma/4b2c97d1-b12b-46b7-9e24-1fcd248e28a3/application

**Skills:** Apache Kafka, Snowflake, Postgres, CDC patterns, Terraform, dbt, Data Infrastructure, Distributed Systems, Event Streaming

> Own and evolve end-to-end event pipeline architecture and data infrastructure for a scaling SaaS platform. Design distributed systems handling massive scale, lead technical strategy, and mentor engineers while ensuring data quality and reliability.

## Job description

## ABOUT THE ROLE

You'll own Gamma's data infrastructure and architecture as we scale to hundreds of millions of users and petabytes of data. This means defining the technical strategy for our end-to-end event pipeline architecture, designing distributed systems that handle massive scale with reliability, and establishing the foundation for how data flows through Gamma. You'll solve the hardest data engineering challenges we face while setting the technical direction for data infrastructure across the company.

As a Staff Data Engineer, you'll balance hands-on engineering with technical leadership. You'll architect solutions for orders of magnitude growth, mentor engineers across the organization, and drive strategic decisions about our data stack. You'll work closely with analytics, product, and engineering leadership to enable data-driven decision making at scale while building systems that serve millions of users and inform critical business decisions.

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

- Own and evolve our end-to-end event pipeline architecture, from Kafka ingestion through Snowflake analytics, setting technical direction for data infrastructure
- Design and architect distributed data systems that scale to orders of magnitude more data volume while maintaining world-class query performance
- Lead initiatives to build and optimize CDC (change data capture) pipelines and streaming data transformations at massive scale
- Establish best practices for data quality, pipeline reliability, and system observability across the organization
- Drive strategic technical decisions about data modeling, infrastructure architecture, and technology choices
- Mentor engineers and elevate data engineering practices across analytics, product, and engineering teams

## WHAT YOU'LL BRING

- 10+ years as a data or software engineer with deep expertise in distributed systems, data infrastructure, and high-growth SaaS products at massive scale
- Expert-level knowledge of Apache Kafka (producers, consumers, Kafka Connect, stream processing) and event streaming platforms
- Extensive hands-on experience with Snowflake, including performance optimization, cost management, and data modeling; strong foundation in Postgres, CDC patterns, and replication strategies
- Proven track record architecting and leading major data infrastructure initiatives through orders-of-magnitude growth
- Experience establishing best practices and driving technical strategy across organizations
- Strong communication skills with a history of influencing technical direction across engineering, analytics, and leadership
- Proficiency with dbt, Terraform, and working knowledge of data governance, privacy compliance (GDPR, CCPA), and security best practices

## COMPENSATION RANGE:

The base salary for this full-time position, which spans multiple internal levels depending on qualifications, ranges between $230K - $310K plus benefits & 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.

## About Gamma

## Core Business
- **Primary industry**: AI-powered productivity software / presentation and content creation
- **Target customers**: B2C (individual creators, professionals) and B2B (teams, enterprises)
- **Mission statement**: “We build tools for imagination” – making it easy for anyone to share ideas beautifully and quickly without design or communication expertise.

## Products & Services
- **Presentations**: Turn any idea or outline into a polished slide deck; export to PPT, PDF, Google Slides, and more.
- **Documents**: Create structured, visual documents (one-pagers, white papers) with AI assistance.
- **Websites**: Generate a shareable, hosted website in minutes – no coding required.
- **Social Media**: Produce platform-ready social content sized and styled for posting.
- **Graphics**: AI design agent for creating custom, on-brand graphics, infographics, and illustrations.
- **API**: Programmatic creation for automation, integration, and scaling content.

## Market Standing
- **Valuation**: $2.1B (as of 2026, per company about page)
- **Key Metric**: $100M+ annual recurring revenue (ARR); 100 million total users; over 1 million creations per day
- **Notable Investors/Partners**: Not publicly disclosed (likely venture-backed given valuation)
- **Growth Signals**: Achieved profitability in 2023; rapid user adoption (100M users); expanding from presentations into websites, social, and API; strong B2C viral growth with growing B2B enterprise traction.

## Competitive Advantages
- **AI-native architecture**: Built from the ground up for AI collaboration, not retrofitted.
- **Multi-format versatility**: One platform for presentations, documents, websites, social posts, and graphics – reducing tool sprawl.
- **Viral B2C love + massive B2B opportunity**: Millions of individual users drive organic adoption into enterprises.
- **Profitable growth**: Profitable since 2023 while still scaling rapidly, demonstrating unit economics.

## Strategic Focus
- **Disrupting the presentation market**: Replacing legacy tools (PowerPoint, Google Slides) with an AI-first experience.
- **Expanding the creative layer**: Moving beyond presentations to become the default tool for all modern communication (documents, websites, social).
- **Enterprise go-to-market**: Building on viral B2C adoption to capture B2B contracts with features like brand controls, team collaboration, and API integrations.
- **Continuous AI innovation**: Leveraging 20+ AI models and constant iteration to improve output quality and creative capabilities.

## Why Work Here
- **Culture**: Described as “warm, a little quirky, and fueled by curiosity” – a team of dreamers and doers that ships constantly.
- **Work model**: Hybrid/on-site presence in San Francisco (primary hub) and New York; many roles listed as “San Francisco” or “New York” with on-site expectation; some remote flexibility may exist for certain roles.
- **Notable perks**: Being part of a profitable, high-growth unicorn; working on a product used by 100M people; opportunity to shape the future of AI-powered communication.
- **Engineering culture**: Heavy emphasis on AI, data science, and product design; roles include AI Engineer, Research Engineer, Site Reliability Engineer, and UI Engineer.

## Sources
1. [Gamma About Page](https://gamma.app/about)
2. [Gamma Careers Page](https://careers.gamma.app/)
3. [Gamma Job Listings (Ashby)](https://jobs.ashbyhq.com/gamma)
4. [Gamma Product Pages](https://gamma.app/?lng=en)
5. [Gamma Team Page](https://team.gamma.app/)

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