Software Engineer, Detection

What We're Building

We're building the AI-native social engineering defense platform. This means we're designing scalable systems that monitor billions of domains, social media accounts, apps, dark web forums, etc., and leverage AI agents to identify and neutralize digital threats.

What We're Looking For

• Hands-on experience building production backend services or full-stack features (or equivalent).
• Proven record of shipping end-to-end: design → implementation → testing → monitoring → oncall.
• Strong mastery of at least one backend language (Python, Go, Java, or Node) and comfort with web APIs, async processing, and service frameworks.
• Solid system design skills: experience architecting scalable, fault-tolerant systems (sharding, caching, queueing, idempotency, backpressure).
• Experience building and operating large data pipelines (batch or streaming), working with warehouses or OLAP systems for analytics, and designing efficient schemas for scale.
• Deep practical experience with backend concerns: databases (SQL + NoSQL), caching, message queues, rate limiting, retries, and cost/latency tradeoffs.
• Strong observability, debugging and incident response skills: structured logging, tracing, dashboards, SLOs/alerts, and the ability to triage and fix production issues.
• Product ownership and excellent cross-functional communication — you’ll collaborate with Operations, Customer Success, Sales, to deliver measurable outcomes.

As Part Of Our NY Team, You’ll Work on a wide range of asks that protect billions of people from digital impersonation

• Have complete end to end ownership - from directly collecting customer requirements to continuously iterating on shipped releases.
• Mentor junior engineers, make key product decisions, and foster a high-performing team culture.

What We Offer

• A mission-driven culture with low ego, high ownership, deep customer obsession, and exceptional talent density.
• Free lunch and dinner in the office.
• Flexible PTO.
• Quarterly team offsites.