Job Description

We've been working at the forefront of generative AI to automate the hard parts of designing and sharing beautiful presentations, websites, social media posts, and more. We're based in San Francisco - most of us are in office ~3 days a week We're AI pioneers - we're early players in the space and we're constantly redefining what it means to build with and for AI About the role We're looking for an experienced trust and safety engineer to join our team. Over the past year, we've grown from a private beta serving hundreds of active users to a hot AI tool growing faster everyday with millions of users hitting our servers from around the world at all hours of the day. Gamma.app never sleeps! This position is an onsite role in San Francisco with a hybrid flexible work culture. You'll be expected to come in to our Potrero Hill office 3 days per week with a schedule that works best for you. We're looking for candidates from diverse backgrounds who are interested in: Building product features, platforms, and tooling to protect Gamma's platform from phishing, objectionable content, spam, account takeovers, and other fraud and abuse Ensuring these systems scale to millions of users while maintaining high performance and availability Moving fast and shipping to production daily Working fully across our React Express NodeJS Postgres stack, mostly written in Typescript Contributing to the vision and roadmaps for long-term Trust & Safety and articulating Gamma's overall approach and philosophy on Trust Engineering Above all, we're looking for someone with a passion for keeping Gamma safe and secure, writing code, collaborating with various engineering teams and product managers, and solving new problems as Gamma grows. We care as much about your attitude and curiosity as your technical knowledge, and less about how long your resume is. What you'll do: Identify the largest gaps in our existing infrastructure for protection against fraud and abuse Propose, validate, and socialize potential trust and safety improvements Implement improvements while partnering with other engineers and product managers Ship to production daily across our React Express NodeJS Postgres stack Develop and maintain systems to detect and prevent malicious activity Help build a scalable infrastructure that can support our rapid growth Debug thorny and complex security issues without much to go on Read and suggest improvements to our trust and safety architecture Our ideal candidate has: 5+ years experience as a software engineer, preferably with a focus on abuse/spam/fraud detection and prevention A degree in computer science or related field Strong proficiency in at least one programming language Experience developing & implementing trust and safety features such as rate limiting, content detection, anomaly detection, and fraud detection Experience writing and maintaining highly-available web APIs Experience with event streaming systems like Redis Pubsub or Apache Kafka Experience working in large complex production scale codebases Passion for security and protecting users from bad actors Experience with AI prompting and large language models (we use AI prompts to scan content currently) Experience programming with Typescript Experience with Prisma and Apollo GraphQL Experience with Terraform and AWS Services The base annual salary range for this role is $200k-$265k . Competitive compensation package including equity Comprehensive medical, vision, and dental insurance for you and your benefits Unlimited PTO and flexible hours — we encourage everyone to take time off as needed! 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 about this role but you don't meet every requirement, we encourage you to apply anyway! We're always excited about meeting great people and we care about more than the bullet points on your resume. While this role is backend focused, you'll inevitably be working across the entire product. Fortunately, we're building a full Typescript stack centered around some of the most modern and popular technologies: Language Models: Claude 3.5 Sonnet, Gemini 1.5, GPT-4o, Image Models: Flux, Imagen, Ideogram and many more. 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! #J-18808-Ljbffr gamma.app

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