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Staff Software Engineer, Full Stack

GammaSan Francisco, California

$230,000 - $310,000 / year

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Overview

Schedule
Full-time
Career level
Senior-level
Remote
Hybrid remote
Compensation
$230,000-$310,000/year

Job Description

About the role

You'll lead the development of high-craft, intuitive AI features that power Gamma's presentation product, shipping complex systems that millions of users rely on every day. This means owning AI-powered features end-to-end, from architecture to reliability to performance, while shaping Gamma's technical future in AI and product. You'll build sophisticated experiences that make AI feel effortless, working across the full stack to deliver features that delight users.

As a Staff Engineer, you'll balance hands-on engineering with technical leadership. You'll design systems that handle real-time collaboration and AI at scale, elevate engineering quality and effectiveness across the team, and influence technical strategy alongside engineering leadership. You'll work with cutting-edge technologies including CRDTs, LLMs, image models, and streaming, building the foundation for how millions of people create with AI.

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

  • Ship high-craft, intuitive AI features (including agents) that power Gamma's presentation product

  • Own these systems end-to-end, ensuring reliability, performance, and scalability as we grow to hundreds of millions of users

  • Design and implement sophisticated AI workflows that integrate LLMs and image models seamlessly into real-time collaborative experiences

  • Elevate engineering quality and effectiveness across the team through code reviews, mentorship, and establishing best practices

  • Shape Gamma's technical future in AI and product, influencing architecture decisions and technical strategy

  • Build systems that balance security, usability, and performance at massive scale

What you'll bring

  • 8+ years of software engineering experience with at least 1 year building AI-powered products

  • Deep expertise building complex, collaborative, real-time web applications with TypeScript and React

  • Prior experience working with CRDTs/YJS, LLMs and image models, WebSockets, and streaming technologies

  • Ability to design systems that balance security, usability, and performance at scale

  • Strong communication skills and experience influencing technical strategy across teams

  • Track record of shipping high-quality, user-facing features in production environments

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.

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Submit 10x as many applications with less effort than one manual application.

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FAQs About Staff Software Engineer, Full Stack Jobs at Gamma

What is the work location for this position at Gamma?
This job at Gamma is located in San Francisco, California, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Gamma?
Candidates can expect a pay range of $230,000 and $310,000 per year.
What employment applies to this position at Gamma?
Gamma lists this role as a Full-time position.
What experience level is required for this role at Gamma?
Gamma is looking for a candidate with "Senior-level" experience level.
What is the process to apply for this position at Gamma?
You can apply for this role at Gamma either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.