Doppel is addressing the threat of mass-manufactured social engineering, including scams and deepfakes, by building an AI-native social engineering defense platform to make the internet a safer place.
Requirements
- Experience building self-hosted Elasticsearch infrastructure on Kubernetes
- Experience building a robust DBT transformation layer for modeling and querying large-scale event data
- Experience with scalable systems that monitor billions of domains, social media accounts, apps, dark web forums, etc.
- Experience leveraging AI agents to identify and neutralize digital threats
- Experience with data platform infrastructure and engineering organization scaling
Responsibilities
- 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
- Build out the infrastructure required to rapidly scale up the data platform and engineering organization
- Built self-hosted Elasticsearch infrastructure on Kubernetes, enabling real-time search across millions of alerts and associated metadata.
- Built out a robust DBT transformation layer, enabling customers, engineers, and analysts to reliably model and query large-scale event data, improving time-to-insight and reducing data inconsistencies.
Other
- In-office min 3x/week in NYC
- Mentor junior engineers
- Make key product decisions
- Foster a high-performing team culture
