Senior Software Engineer

We build the infrastructure that keeps some of the world's most important digital platforms true to what they stand for. When a platform needs to write moderation policies, route content to reviewers, run AI agents against abuse, file regulatory reports, or measure how their safety programs are performing, they use our software. Our customers are among the largest internet platforms in the world, and the decisions made in our product directly determine what stays up, what comes down, and how users are treated. We're a small engineering team. You'll ship features that go live to enterprise customers within days, not quarters, and you'll hear directly from the people using what you built. Why This Role You'd be building infrastructure that some of the largest online communities in the world depend on to function. The problems aren't hypothetical: state-sponsored disinformation, child-safety reporting, coordinated abuse at scale. The software you build is used daily by the reviewers, investigators, and Trust & Safety leads making the calls that define what a platform stands for. This is an early-stage company with a mature product and real enterprise customers. You'll have outsized influence on architecture, product direction, and engineering culture. What You'd Actually Work On This isn't a generic full-stack role. Here's what's on the roadmap right now and what you'd be contributing to: AI agents that review content against customer policies, callable from within our durable workflow engine. We're moving from hardcoded LLM prompts to a configurable agent spec that customers can edit and deploy themselves. A durable workflow engine for durable execution. Engineers build new nodes that customers wire together to automate moderation pipelines, regulatory reporting, enforcement actions, and more. Review queue tooling: the core UI where moderators and investigators spend their day. You'd work on features like QA decision overrides, attribute-level labeling, forms, and skills-based routing. Analytics and metrics dashboards that help Trust & Safety leads understand how their programs are performing, built with a React frontend backed by a Django/GraphQL API. Two-way user communications: building integrations (e.g., Salesforce, Zendesk) so moderators can contact users and see conversation history without leaving the platform. Reliability at scale. Our customers process high volumes of content through review queues, workflows, and AI agents. You'd help define SLIs, improve pipeline throughput, and own oncall for systems where downtime means moderation stops. What We're Looking For 5+ years building production software, with experience across the stack: Django or similar backend frameworks, React or similar on the frontend, relational databases, and message/event systems. You've identified a customer problem yourself, not just been handed a ticket, and built an end-to-end solution for it. We don't operate with a traditional PM-led design approach — engineers participate in customer demos, hear feedback firsthand, and shape what gets built next. Experience with high-throughput, data-intensive systems. Our platform ingests large volumes of entity data, events, and media from customer platforms. You should be comfortable reasoning about pipeline throughput, latency, and the tradeoffs that come with scale. You have a real point of view on how AI tooling has changed the way you write code. We use it extensively and expect engineers to be fluent and opinionated, not just familiar. End-to-end ownership. Even as AI code gen changes how frontend code gets written, you need to understand how the backend is designed to build something usable from start to finish. You'd own features from data model through API through UI. Clear written communication. We're a distributed team with a concentration in NYC, and we work closely with customer-facing teams. You need write clearly in PRs, Slack, and customer-facing documentation. Nice to Have Experience in Trust & Safety or abuse prevention. Understanding how attackers exploit platforms gives you a head start. Experience at a startup or early-stage company where you wore multiple hats and shipped fast with limited resources. Familiarity with workflow/automation systems, policy engines, or case management tools. Experience working directly with enterprise customers or in a customer-facing engineering role. We're based in NYC and would relocate the right person for this role. We believe in working together in person and hold at least two all-company events per year. We offer health, vision & dental benefits, a 401(k) plan with employer matching, fully paid commuter benefits, and a fully stocked office with paid lunch and dinner. #J-18808-Ljbffr