David Alessi

Staff Product Manager @Snyk

Boston, MA, US

Lead AI strategy and roadmap for Snyk Code’s application security products, partnering with Engineering, Data Science, and GTM leaders to deliver AI-powered vulnerability detection and remediation that fits naturally into developer workflows- Defined and shipped Agent Fix’s first internal benchmark (public release pending) to compare Snyk’s AI remediation against commercial models on security vulnerability patching. Establishing shared metrics for quality, coverage, and business impact- Helped ship the Snyk MCP server enterprise IDE/ADE integrations (Cursor and Windsurf) and deployment capability. Enabling in-flow AI-powered security fixes as code is generated and driving adoption of secure-at-inception development workflows- Built a Python-based evaluation harness running code equivalence tests to identify the best model combinations (including LLM jurys) for code integrity validation during Agent Fix’s fix generation- Prototyped agentic security vulnerability remediation in Python without requiring a full developer sandbox, de-risking a key architectural bet and informing long-term product strategy for scalable, low-friction remediation- Serve as the AI product expert and thought partner for senior leaders, customers, and industry stakeholders, translating AI/ML trends and SAST market dynamics into Snyk Code’s AI vision, product strategy, and differentiated offerings.

Notre Dame high school

High School

Boston University

Bachelor of Science (BS), Business administration and information systems