The Growth team owns two areas that together determine how Gamma grows and how that growth turns into a business.
Monetization builds the shared systems that power how Gamma monetizes. The impact here is multiplicative: the platforms you build unlock growth everywhere. These systems turn AI innovation into repeatable, scalable growth.
Self-serve growth works directly on user-facing experiences: onboarding, activation, discovery, and lifecycle flows. This team's work directly shapes how users discover, adopt, stick with, and become Gamma champions.
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
As the engineering leader across both areas, you'll:
Lead and scale the engineering team across both monetization infrastructure and product-led growth
Own the monetization platform: payment integrations, subscription management, billing, AI usage tracking and crediting, pricing systems
Own the growth surfaces: onboarding and activation flows, in-product education and discovery, lifecycle experiences, notifications, and messaging infrastructure
Collaborate cross-functionally across product, design, data, and other engineering teams. Partner on the full funnel: where users drop off, what the onboarding experience should look like, and where to focus next
Build and run a team that can move fast on experiments while also building durable shared systems
Mentor, coach, and develop engineers on the team
Contribute to broader engineering and EPD leadership by proactively identifying opportunities or misalignment and addressing them
What you'll bring
5+ years experience as a senior+ engineer, 2+ years managing and leading high performing teams
Experience leading growth engineering, with a track record of moving activation/retention/conversion metrics
Experience with monetization or payments infrastructure (subscriptions, billing, app store payments, pricing systems)
Thinks deeply about product experiences and can look at a funnel and form a point of view on what to change
High cross-functional fluency
Comfortable pushing into ambiguity to find and drive the next big growth bets, even when the path isn't fully defined
Hands-on and technical enough to evaluate architecture decisions, guide the team’s technical direction, and review code, build prototypes, or jump in as needed
Compensation range:
The base salary for this full-time position, which spans multiple internal levels depending on qualifications, ranges between $250K - $325K 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.
Listed by Gamma for a position based in the United States. Employers on this board attest they are hiring domestically.
AI has dramatically lowered the barrier for bad actors. Generating convincing phishing pages, spinning up realistic-looking fraudulent accounts, and producing abusive content at scale no longer requires specialized skill — a motivated attacker with access to widely available models can do it.
At the same time, AI is transforming what's possible on the defensive side. A small, sharp T&S team equipped with frontier models can now build detection, triage, and response systems that would have required a team five times the size just a couple of years ago. AI-assisted content scanning, automated investigation workflows, and intelligent alert prioritization mean that a lean team can protect millions of users — if they build the right infrastructure.
About the role
You'll architect and scale the trust infrastructure that keeps 70M+ users safe while preserving the creative freedom that makes Gamma magical. This means designing distributed systems for real-time content scanning, anomaly detection, and rate limiting; helping define and evolve the core data model and storage systems behind abuse detection; and shipping the high-volume event pipelines and internal tools that let our support teams act quickly on threats.
You'll join a small, high-impact team building the foundation for trust at scale. You'll work across databases, public APIs, and event infrastructure, balancing long-term technical investments with rapid shipping velocity. You'll collaborate across engineering, product, and design to define how Gamma approaches safety for the long term.
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 detection and prevention systems for fraud, abuse, spam, and malicious content across millions of daily users
Design and build scalable trust infrastructure including rate limiting, content scanning, anomaly detection, and account security
Architect distributed systems, APIs, and high-volume event pipelines that power real-time abuse detection at Gamma's scale
Help define and evolve the core data model and storage systems that underpin trust and safety across the product
Build tools that empower internal support teams to investigate and act on suspicious or malicious activity
Leverage AI/LLM-based detection to stay ahead of AI-generated abuse — phishing, fraud, and malicious content that's increasingly indistinguishable from legitimate activity
Build automated triage and investigation workflows that let a small team operate at the scale of a much larger one
Investigate and resolve complex security incidents with limited context
Partner with engineering and product to balance security with user experience
Shape Gamma's long-term trust and safety strategy and technical roadmap
What you'll bring
5+ years of backend engineering experience building scalable, high-traffic production systems
Strong systems thinking and experience building highly available web APIs
Strong proficiency in backend technologies (Node.js, Python, or similar) and databases (PostgreSQL, Redis)
Experience with event streaming systems (Redis, Kafka, or similar) and high-volume event pipelines
Hands-on experience implementing trust features like rate limiting, content detection, and fraud prevention
Track record shipping high-quality, complex applications under tight timelines
Product-minded approach with understanding of how technical decisions impact user experience and business metrics
Passion for security, user protection, and solving problems at scale
Nice to have
Experience with AI/LLMs for content moderation, or familiarity with TypeScript, Prisma, Apollo GraphQL, or AWS
Experience building AI-assisted moderation pipelines or using frontier models for automated abuse detection and response
Familiarity with the evolving AI threat landscape — how generative models are being used for phishing, social engineering, and content abuse at scale
Experience with real-time collaboration systems
Compensation range:
The base salary for this full-time position, which spans multiple internal levels depending on qualifications, ranges between $180K–$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.
Listed by Gamma for a position based in the United States. Employers on this board attest they are hiring domestically.
You'll build Gamma's visual experience: pixel-perfect layouts, smooth animations, and responsive interactions that make the product feel magical. That means owning design system components from buttons and inputs to complex editor UI primitives, implementing polished micro-interactions and transitions, and solving tough browser challenges across compatibility and rendering. You'll sweat the details (spacing, typography, hover states, loading states, error states, edge cases) while keeping frontend performance sharp.
As a Frontend Engineer focused on UI and design systems, you'll partner closely with designers to translate high-fidelity mocks into production-ready, accessible components and build reusable, well-documented component libraries that scale across the product. This role requires mastery of CSS, a sharp eye for craft, and an instinct for when to polish versus when to iterate.
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 design system components from foundational elements to complex editor UI primitives, with accessibility built in
Build pixel-perfect layouts, smooth animations, and responsive interactions across the product
Implement polished micro-interactions and transitions that make Gamma feel crafted and intentional
Optimize rendering, bundle size, and interaction responsiveness to maintain 60fps animations
Solve complex browser challenges including cross-browser compatibility, edge cases, and rendering quirks
Partner with designers to translate high-fidelity mocks into production-ready components
What you'll bring
3–5+ years of frontend engineering with deep React expertise and mastery of CSS including flexbox, grid, animations, transforms, and browser quirks
Sharp eye for detail and craft, with the ability to spot 1px misalignments, janky animations, and inconsistent spacing
Experience building complex, interactive UIs such as editors, design tools, or animation-heavy applications
Performance optimization skills across React rendering, CSS performance, and animation frame rates, with experience building reusable, accessible, well-documented component libraries
Thoughtful approach to user experience including loading states, error handling, and responsive behavior
Experience with animation libraries or visual editing tools (Nice to have)
Compensation range:
The base salary for this full-time position, which spans multiple internal levels depending on qualifications, ranges between $180K - $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.
Listed by Gamma for a position based in the United States. Employers on this board attest they are hiring domestically.
Software Engineer, Backend
Location
San Francisco
Employment Type
Full time
Department
Engineering
Overview
Application
About the role
You'll build and scale the backend systems that power millions users creating content every day on Gamma. This role is about solving real distributed systems challenges at scale while maintaining the performance and reliability users expect from a modern AI-powered product. You'll work across the full stack, shipping features that directly impact how people create and share their ideas.
While this role is backend focused, you'll work across the entire product with our frontend, product, and design teams. Our full TypeScript stack is built on modern technologies including React, Node.js, PostgreSQL, Redis, and cutting-edge AI models.
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
Scale backend systems to hundreds of millions of users while maintaining high performance and availability
Build and optimize APIs that power real-time collaborative editing and AI content generation
Design and implement distributed systems that handle massive scale with reliability
Ship features across the full stack, working closely with frontend engineers to deliver polished experiences
Architect solutions for complex technical challenges in areas like data consistency, caching, and query optimization
Collaborate with product and design to turn ideas into production-ready features
What you'll bring
3+ years building production backend systems with strong fundamentals in distributed systems, databases, and API design
Deep proficiency in TypeScript/Node.js or similar backend languages, with eagerness to work in our TypeScript stack
Experience scaling systems to handle millions of users and high throughput workloads
Strong understanding of PostgreSQL, Redis, or similar database technologies
Passion for building APIs, scaling complex systems, and creating excellent web applications
Curiosity and attitude that matches your technical knowledge
Prior experience working with websockets, streaming, or scaling inference workloads (Nice to have)
Compensation range:
The base salary for this full-time position, which spans multiple internal levels depending on qualifications, ranges between $180K - $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.
Apply for this Job
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Listed by Gamma for a position based in the United States. Employers on this board attest they are hiring domestically.
Site Reliability Engineer
Location
San Francisco
Employment Type
Full time
Department
Engineering
Overview
Application
About the role
Gamma's infrastructure needs to be rock-solid for millions of daily users while enabling our engineering teams to ship fast. You'll own the operational health of our full backend platform, building automation and tooling that improves reliability and partnering with engineering to design systems that are observable, resilient, and easy to operate. Your work directly impacts every Gamma user's experience.
This is a high-impact role where you'll balance reliability with velocity, knowing when to move fast and when to prioritize stability. You'll lead incident response, drive systemic improvements, and help shape how Gamma scales to serve its next 100 million users.
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 the reliability, availability, and performance of Gamma's production systems across our AWS infrastructure
Build observability infrastructure from the ground up: metrics, logging, tracing, and alerting that give the team genuine visibility into system health before users feel the impact
Design and ship automation that reduces toil, makes deployments safer, and gets us back on our feet faster when things go wrong
Lead incident response and blameless post-mortems, then follow through on the systemic fixes that keep the same issues from coming back
Partner with engineering teams on architecture reviews, SLO and SLI design, and reliability best practices that scale with the product
Manage and optimize our compute, networking, databases, and managed services
What you'll bring
5+ years in site reliability engineering, DevOps, or systems engineering with deep, hands-on AWS expertise
Strong programming skills in Python, Go, or TypeScript/Node.js, applied to building real tools and automation
Solid experience with infrastructure-as-code (Terraform, CloudFormation) and end-to-end observability solutions
Track record of making systems meaningfully more reliable through automation, smarter monitoring, and architectural improvements
Deep understanding of networking, distributed systems, containerization (Docker, Kubernetes), and database performance at scale
Sharp incident management instincts and the debugging skills to navigate complex production failures
Experience scaling SaaS products to millions of users, or background with Kafka, chaos engineering, or service mesh technologies (Nice to have)
AWS certifications, or experience with security and compliance frameworks like SOC 2 or ISO 27001 (Nice to have)
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.
Apply for this Job
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Listed by Gamma for a position based in the United States. Employers on this board attest they are hiring domestically.
Software Engineer, Data Systems
Location
San Francisco
Employment Type
Full time
Department
Engineering
Overview
Application
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.
Apply for this Job
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Listed by Gamma for a position based in the United States. Employers on this board attest they are hiring domestically.
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