Teams at Empirical Security

Owns the end-to-end development of cybersecurity vulnerability and exploit prediction models, including problem framing, feature engineering, training, evaluation, deployment, calibration, monitoring, and drift detection. The role addresses extreme class imbalance, hierarchical modeling, cold-start customers, and uncertainty quantification. It also requires explaining model outputs to security executives, publishing methodologies and benchmarks, and partnering with engineering to deploy reliable production systems.

Own the technical side of enterprise sales: run demos, scope and execute proofs of value, write technical RFP/security responses, translate model outputs for practitioners, and liaise between customers and data science/product teams.

Own and grow a named enterprise account roster, run consultative, data-driven sales cycles with CISOs and security teams, coordinate technical proofs of value with internal teams, forecast in HubSpot, and represent the company at industry events to close and expand large security-software deals.