Software Engineer – Full Stack

ABOUT THE ROLE We're hiring a Full Stack Software Engineer to work across our advertiser platform, attribution, and analytics systems. You'll own technical projects end to end — from scoping and design through implementation, deployment, and production maintenance. This role sits at the intersection of engineering and go-to-market, so the right person is excited to translate customer and business needs into robust product and technical solutions. We're an early-stage team in the AI advertising infrastructure / adtech space, building the next generation of contextual ad delivery inside AI conversations. We value thoughtful, pragmatic, high-ownership engineers who thrive in a zero-to-one environment. We don't expect a perfect match on paper — if this role excites you, we strongly encourage you to apply. WHAT YOU'LL DO - Own technical projects end to end: scoping, design, implementation, testing, deployment, and ongoing production maintenance. - Build reliable backend systems and design/consume production APIs (REST, gRPC) with attention to scalability and fault tolerance. - Deploy, operate, and troubleshoot cloud services on AWS in production. - Monitor production services, drive observability improvements, lead incident response, and troubleshoot performance issues. - Work with data infrastructure — schema design, query optimization, and analytics/attribution pipelines. - Collaborate closely with GTM stakeholders to turn customer needs into product and technical solutions. WHAT WE'RE LOOKING FOR Required - Proven experience owning technical projects end to end in production environments. - Hands-on experience building reliable backend systems and designing/consuming production APIs (REST, gRPC). - Strong practical AWS experience — deploying, operating, and troubleshooting cloud services in production. - Experience operating production services: monitoring, observability, incident response, and performance troubleshooting. - Proficiency in Python (Django and/or FastAPI), REST API design, and async patterns. - Data expertise: PostgreSQL, query optimization, schema design. - Legal authorization to work in the United States without visa sponsorship (now or in the future). Nice to Have - Experience with analytics, attribution, adtech, or event-driven/data pipelines and instrumentation for measurement and reporting. - Experience with ClickHouse or other columnar OLAP databases at scale. - Familiarity with containerized deployments (Docker, Kubernetes) and cloud infrastructure (AWS preferred). - Background in real-time data systems, event streaming (Kafka, Redis Streams), or high-throughput API design. - Experience at an early-stage startup building product from zero to one, or at a major tech company shipping production code. - Bachelor's degree in Computer Science, Engineering, or equivalent practical experience. COMPENSATION & BENEFITS - Salary: $120,000 – $150,000 per year - Early-stage equity opportunity LOCATION This is a full-time, on-site role based in San Francisco, CA. Candidates must be willing and able to work from the San Francisco office. Visa sponsorship is not available.