Jobs at Swimlane

Conduct outbound prospecting through phone, email, LinkedIn, and other channels; research target companies and decision-makers; identify customer needs; qualify prospects; schedule meetings for sales representatives; follow up with event and webinar leads; track activities in Salesforce and Outreach; collaborate with Sales and Marketing; and pursue individual and team targets through ongoing training and coaching.

Lead the architecture and development of production-grade multi-agent systems and AI-powered security chatbots. Build applied LLM workflows for alert triage, summarization, and automation; create evaluation harnesses; monitor and improve production behavior; establish standards for retrieval, context engineering, tool design, and safety; and embed security controls such as privacy, access controls, and prompt-injection defenses. Collaborate across data science, engineering, product, and platform teams to move AI capabilities from prototype to production.

Build and maintain security automation solutions, reusable components, playbooks, apps, and dashboards for Swimlane Turbine and its Marketplace. Translate SOC and MSSP workflows into configurable enterprise content, normalize security data using Python and JavaScript, integrate SIEM, EDR/XDR, identity, threat intelligence, ticketing, and cloud security tools, and incorporate controlled AI-assisted workflows. Own testing, documentation, versioning, release quality, and cross-functional collaboration.

Design, develop, test, and scale enterprise SaaS security automation systems enhanced by GenAI. Integrate LLMs, embeddings, vector databases, RAG pipelines, and AI-driven workflows for incident triage, natural-language interfaces, auto-remediation, and summarization. Build APIs and third-party integrations, convert AI/ML proofs of concept into production systems, improve MLOps and observability, establish engineering practices, mentor teams, and collaborate globally.