Senior Product Operations Manager managing product lifecycle for Saviynt’s AI-powered identity platform. Leading product operations, KPI frameworks, and AI governance in a hybrid environment.
Responsibilities
Standardize the Lifecycle: Define and evolve the end-to-end product lifecycle (from discovery to sunset) across product verticals to ensure consistency without sacrificing agility.
Launch Orchestration: Lead the "Launch Readiness" framework, ensuring Product, Engineering, Marketing, and Support are aligned for every major launch.
Own the Product KPI framework. You will define what success looks like (NPS, Adoption, Retention, Cycle Time) and ensure data integrity across all dashboards.
Build and manage the systems that aggregate customer feedback from Sales, Support, and User Research into a prioritized Voice of the Customer engine for PMs.
Bridge the gap between "Product Building" and "Product Selling". Ensure Sales and SE teams have the documentation, training, and roadmap clarity they need to win.
Facilitate the quarterly and annual planning process (OKRs/Road mapping), ensuring vertical goals roll up to Saviynt’s corporate strategy.
Identify and implement AI-driven efficiencies within the product lifecycle.
Partner with other functions to establish guidelines for the responsible use of Generative AI within the product organization, ensuring data privacy and output accuracy.
Requirements
overall 15 years of Industry experience, 5–10 Years in Product Ops, Program Management.
Proven track record in Product Operations, SaaS Product Management, or Business Operations within a high-growth B2B enterprise software environment.
Experience managing operations for a multi-product platform (knowledge of IAM, Identity Security, or Governance is a major plus).
Mastery of SQL, BI tools (Tableau), and Product Analytics (Pendo/Amplitude). You don't just pull data; you tell stories with it.
Expert-level knowledge of Jira/Confluence and CRM systems (Salesforce).
You see the "big picture" and understand the impact of change.
You understand the pain points of a PM and build solutions that help them, not just "add more process."
Deep understanding of how to leverage LLMs and predictive models to automate repetitive operational tasks
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