Senior Product Manager

Own the core data model for growth: what an account, tenant, user, workload identity, agent, license, SKU, feature and event mean across the portfolio- Name an owner for each and set a process for changing them. Bring engineering and product teams to a single definition for each core metric, and keep those definitions true as the products evolve. Instrument the funnels teams test against, at the right grain for identity products. Build the data foundation that customer-facing intelligence products depend on, and partner with product teams on the first ones: the signup, usage and posture signals behind insights, benchmarks and recommendations. Build and ship agents on that foundation: natural language access, anomaly detection, and automated reporting- Prove each one answers correctly before it ships. Drive adoption of what you build. Move teams onto the data and definitions you own, and retire the duplicates and one-off reports they replace. Bachelor's Degree AND 5+ years experience in product/service/program management or software development Bachelor's Degree AND 8+ years experience in product/service/program management or software development OR equivalent experience. 2+ years experience taking a product, feature, or experience to market (e.g., design, addressing product market fit, and launch, internal tool/framework). 4+ years experience improving product metrics for a product, feature, or experience in a market (e.g., growing customer base, expanding customer usage, avoiding customer churn). 4+ years experience disrupting a market for a product, feature, or experience (e.g., competitive disruption, taking the place of an established competing product). 3+ years experience building and shipping products end to end, from customer discovery and product definition through launch and iteration. 2+ years experience building agentic or LLM-powered products, including defining evaluations and improving output quality. 3+ years experience building data products and working hands-on with SQL and/or KQL, data models, schemas or metric definitions.