Security Engineer

gamma.app

San Francisco (CA)

On-site

USD 180,000 - 310,000

Full time

14 days+

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Job summary

gamma.app is seeking a Security Engineer to protect its platform and data as it scales for millions of users. You’ll design security controls, embed security in engineering practices, and lead vulnerability management. Candidates should have 5+ years of software engineering experience, with substantial focus in security.

Ideal applicants will be skilled in AWS security, coding in Python or TypeScript, and familiar with web application security principles. Compensation ranges from $180K to $310K, commensurate with experience.

Qualifications

  • 5+ years of software engineering experience with 2–3 years in security engineering.
  • Experience securing AWS environments, including IAM and VPC.
  • Strong understanding of OWASP Top 10 and vulnerability management.

Responsibilities

  • Design and implement security controls across AWS infrastructure.
  • Conduct security reviews of architecture designs and code.
  • Lead vulnerability management and coordinate bug bounty responses.

Skills

AWS Security
Security Engineering
Python
TypeScript/Node.js
Go
Penetration Testing
Web Application Security

Tools

Terraform
CloudFormation

Job description

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.

Why this role matters now

AI is fundamentally changing the cybersecurity landscape. Frontier AI models are rapidly reducing the time, resources, and skill required to find and exploit software vulnerabilities. This works both ways: defenders who adopt AI tools can move just as fast. At Gamma, we believe security engineering must evolve to meet this moment. That means closing patch gaps faster, scanning our own code with the same frontier models an attacker would use, designing systems that hold even when an adversary has unlimited patience, and building incident response capabilities that can handle simultaneous, AI-accelerated threats.

About the role

You’ll protect Gamma’s platform, infrastructure, and data as we scale to serve hundreds of millions of users. That means building security tooling and automation, partnering with engineering teams to embed security into everything we ship, and helping shape how the company thinks about security as a practice. You’ll work across the organization to identify and mitigate risks without slowing down development velocity.

This role combines hands‑on security engineering with strategic influence. You’ll write code to solve security problems, conduct architecture reviews, lead vulnerability management, and drive initiatives for compliance frameworks like SOC 2 and ISO 27001. You’ll work closely with engineering, product, and compliance to make security foundational rather than reactive.

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
  • Design and implement security controls across Gamma’s AWS infrastructure and application layer
  • Build security tooling and automation to detect, prevent, and respond to threats at scale
  • Conduct security reviews of architecture designs, code, and infrastructure changes
  • Lead vulnerability management, coordinate bug bounty responses, and drive remediation priorities
  • Develop and maintain security monitoring, alerting, and incident response capabilities
  • Partner with engineering teams on secure coding practices and threat modeling
  • Deploy AI‑assisted vulnerability scanning across our codebase and infrastructure—scanning our own systems with frontier models before attackers do
  • Build automated triage workflows that use AI to deduplicate findings, estimate exposure, and draft remediation tickets
  • Drive adoption of memory‑safe languages and secure‑by‑design practices for new code, informed by current CISA and NCSC guidance
What you'll bring
  • 5+ years of software engineering experience with at least 2–3 years focused on security engineering or application security
  • Strong hands‑on experience securing AWS environments, including IAM, VPC, security groups, CloudTrail, and GuardDuty
  • Proficiency in at least one backend language (Python, TypeScript/Node.js, or Go preferred) with experience building security tools
  • Deep understanding of web application security including OWASP Top 10, common vulnerability classes, and authentication/authorization patterns, with experience implementing security controls in CI/CD pipelines and infrastructure‑as‑code (Terraform, CloudFormation)
  • Clear communicator who works well embedded with product engineering teams
  • Background in penetration testing, offensive security, and SIEM/log analysis
Nice to have
  • Experience at a high‑growth SaaS startup navigating rapid scaling and compliance
  • Familiarity with AI/ML security tooling, including using frontier models for code scanning, automated pentesting, or threat detection
  • Experience building zero‑trust architecture or identity‑aware access controls (FIDO2, short‑lived tokens, hardware‑bound credentials)
  • Knowledge of supply chain security frameworks like SLSA, OpenSSF Scorecard, or SBOM tooling
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 don’t meet every requirement, we encourage you to apply anyway!

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