- ATS integrations and recruiting analytics: Build and maintain integrations with leading Applicant Tracking Systems so customers can use our product alongside their existing ATS. Help scale systems managing multiple terabytes of relational data and develop Talent Compass, our reporting and analytics product used by all paying customers. You’ll make recruiting data accessible and actionable, helping teams understand funnel performance, identify bottlenecks, track hiring goals, and forecast hiring needs.
- Scheduling: Build tools that make coordinating interviews easier for candidates and hiring teams. This includes calendar and video conferencing integrations, candidate availability and self-scheduling, and scheduling logic that accounts for time zones, interviewer workload, interview focus areas, and preferences. You’ll also improve workflow templates, alerts, rescheduling automations, and analytics to reduce manual work and create a seamless interview experience.
- AI sourcing: Develop customer-facing features for our AI Sourcing Agent, which helps recruiters discover and engage relevant candidates across a pool of more than 800 million profiles. You’ll build experiences that translate hiring needs into tailored searches, incorporate relevant context, and help recruiters act on results. Your focus will be on the product features and systems that bring these AI capabilities to customers, model training is outside the role’s scope.
Depending on the project, you might improve a backend service, extend an integration, optimize a database query, or build a new reporting experience in the frontend. You’ll contribute across these domains as customer needs and priorities evolve.
Our systems span Go, Python, JavaScript, and TypeScript, with technologies including React, GraphQL, REST APIs, Redshift, and Aurora PostgreSQL. You don’t need experience with every part of our stack. We value strong engineering fundamentals, curiosity, and the ability to work effectively across languages and systems.