Senior Product Operations Manager
Saviynt
Product, Operations
Bengaluru, Karnataka, India
Posted on Feb 18, 2026
Saviynt's AI-powered identity platform manages and governs human and non-human access to all of
an organization's applications, data, and business processes. Customers trust Saviynt to safeguard
their digital assets, drive operational efficiency, and reduce compliance costs. Built for the AI age,
Saviynt is today helping organizations safely accelerate their deployment and usage of AI. Saviynt is
recognized as the leader in identity security, with solutions that protect and empower the world’s
leading brands, Fortune 500 companies and government institutions. For more information, please
visit www.saviynt.com.
WHAT YOU WILL BE DOING
- 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.
- Metric Definition: Own the Product KPI framework. You will define what success looks like (NPS, Adoption, Retention, Cycle Time) and ensure data integrity across all dashboards.
- The Feedback Loop: 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.
- GTM Alignment: 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.
- Strategic Planning: Facilitate the quarterly and annual planning process (OKRs/Road mapping), ensuring vertical goals roll up to Saviynt’s corporate strategy.
- Operational AI Integration: Identify and implement AI-driven efficiencies within the product lifecycle
- AI Governance: Partner with other functions to establish guidelines for the responsible use of Generative AI within the product organization, ensuring data privacy and output accuracy.
1. Process Strategy & Governance
2. Data & Insights
3. Enablement & Strategy
4. AI Strategy & Implementation
WHAT YOU BRING
- Experience: overall 15 years of Industry experience, 5–10 Years in Product Ops, Program Management.
- 5–10 Years Experience: Proven track record in Product Operations, SaaS Product Management, or Business Operations within a high-growth B2B enterprise software environment.
- Complexity Management: Experience managing operations for a multi-product platform (knowledge of IAM, Identity Security, or Governance is a major plus).
- Data Fluency: Mastery of SQL, BI tools (Tableau), and Product Analytics (Pendo/Amplitude). You don't just pull data; you tell stories with it.
- Tool Mastery: Expert-level knowledge of Jira/Confluence and CRM systems (Salesforce).
- Systems Thinking: You see the "big picture" and understand the impact of change
- Operational Empathy: You understand the pain points of a PM and build solutions that help them, not just "add more process."
- Applied AI Literacy: Deep understanding of how to leverage LLMs and predictive models to automate repetitive operational tasks
