Design and run automated, scalable QA systems for LLMs: create regression test suites, detect and track LLM failure modes, validate training/test data quality, build monitoring and dashboards, evaluate structured extraction against versioned ground-truth datasets, and collaborate with ML engineers and product teams to maintain model quality in an AWS-based infrastructure.

Own the full sales cycle for mid-market manufacturing accounts, using MEDDIC and Challenger methodologies to sell an AI-native SaaS platform. Generate pipeline through outbound and inbound, collaborate with Sales Engineering, Product, Marketing, and BDRs, tailor demos and proposals, navigate multi-stakeholder deals, forecast accurately, and meet quarterly revenue targets while building customer relationships through face-to-face engagement.

Own product lifecycle end-to-end: discovery, roadmap, backlog, user stories, launches, and iteration. Partner with Engineering, Design, Data, and GTM teams, gather customer insights, use data to prioritize, and deliver product outcomes. Senior PMs lead domains (e.g., federal/defense) and strategy.