Jobs at Empirical Security

Build scalable web applications, APIs, data pipelines, and data integrations for a cybersecurity platform. Responsibilities include architecting software for high-volume data environments, designing algorithms and data structures, optimizing storage and performance, maintaining coding standards, supporting analytics data systems, and collaborating across technical and non-technical teams throughout the product lifecycle.

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.

Own a territory of mid-market commercial accounts and run high-velocity full-cycle B2B software sales into security and IT leaders. Prospect, demo Empirical against prospects' CVE lists, close deals measured in weeks, forecast accurately in HubSpot, and feed product/marketing insights back to the team.

Lead and scale RevOps for an enterprise B2B sales organization: own GTM tech stack, forecasting, territories, quotas, comp design, reporting, pipeline instrumentation, and RevOps roadmap while partnering with finance, marketing, and product.

The role involves deploying data science solutions in cybersecurity, collaborating with customers and teams to operationalize models and enhance security insights.

Empirical is seeking individuals interested in contributing to their team, even if they don't meet all qualifications. They're focused on inclusivity and diverse applications.