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
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Own technical projects end to end: scoping, design, implementation, testing, deployment, and ongoing production maintenance.
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Build reliable backend systems and design/consume production APIs (REST, gRPC) with attention to scalability and fault tolerance.
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Deploy, operate, and troubleshoot cloud services on AWS in production.
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Monitor production services, drive observability improvements, lead incident response, and troubleshoot performance issues.
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Work with data infrastructure — schema design, query optimization, and analytics/attribution pipelines.
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Collaborate closely with GTM stakeholders to turn customer needs into product and technical solutions.
What We're Looking For
Required
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Proven experience owning technical projects end to end in production environments.
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Hands-on experience building reliable backend systems and designing/consuming production APIs (REST, gRPC).
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Strong practical AWS experience — deploying, operating, and troubleshooting cloud services in production.
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Experience operating production services: monitoring, observability, incident response, and performance troubleshooting.
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Proficiency in Python (Django and/or FastAPI), REST API design, and async patterns.
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Data expertise: PostgreSQL, query optimization, schema design.
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Legal authorization to work in the United States without visa sponsorship (now or in the future).
Nice to Have
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Experience with analytics, attribution, adtech, or event-driven/data pipelines and instrumentation for measurement and reporting.
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Experience with ClickHouse or other columnar OLAP databases at scale.
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Familiarity with containerized deployments (Docker, Kubernetes) and cloud infrastructure (AWS preferred).
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Background in real-time data systems, event streaming (Kafka, Redis Streams), or high-throughput API design.
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Experience at an early-stage startup building product from zero to one, or at a major tech company shipping production code.
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Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
Compensation & Benefits
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Salary: $120,000 – $150,000 per year
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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.
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