Teams at Sourcegraph

Staff-level ML and agent systems engineer responsible for production model lifecycles, multi-step agentic systems, evaluations, retrieval and context engineering, and model cost and latency optimization. The role owns technical direction for Code Understanding products, improves model and agent quality, establishes evaluation and monitoring standards, mentors engineers, collaborates with customers, and delivers reliable AI-powered developer experiences at enterprise scale.

Manage a portfolio of 20–30 enterprise and commercial accounts, driving product adoption, monitoring health and usage data, identifying renewal and expansion opportunities, and leading customer trainings, demos, business reviews, and QBRs. Partner with account executives and field engineers, communicate customer feedback internally, and help developers realize measurable value from Sourcegraph’s technical SaaS products.

Join the security team to run security operations, monitoring, incident response, application and infrastructure security reviews, bug bounty management, and compliance (SOC 2, ISO 27001, GDPR). Participate in on-call rotations, triage alerts, remediate vulnerabilities (libraries, images, containers), threat model systems, and integrate defensive tooling to protect SaaS and on-prem deployments.