Senior Product Manager

Location: Bengaluru

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.

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We are looking for a technically sharp and AI-curious Product Manager to join our Non Human Identity Product team. In this role, you will sit at the intersection of product strategy and hands-on innovation — translating complex identity security challenges into elegant, data-driven product experiences. You will be expected to not just define what to build, but actively prototype solutions using modern AI tools, collaborate tightly with engineering, and own outcomes end to end.

This is a high-impact role for someone who loves rolling up their sleeves, has a strong engineering foundation, and is genuinely excited about the possibilities of AI-accelerated product development.

WHAT YOU WILL DO You are the entrepreneur of your product. You own the outcome — not just the backlog. That means setting direction, removing obstacles, making hard calls, and being accountable for whether the product succeeds in the market.

Own the Product Outcome

• Drive the roadmap for Non-Human Identity (NHI) Posture and Management — from initial discovery through GA — with clear success metrics tied to business impact.

• Define what winning looks like for each product area: revenue targets, adoption milestones, retention benchmarks, and competitive positioning.

• Make prioritisation decisions with conviction, balancing short-term customer commitments against long-term strategic bets.

• Own the financial success of your product — work closely with GTM, sales, and leadership to understand revenue contribution, pipeline influence, and expansion opportunities driven by product capabilities.

Find and Validate Product-Market Fit

• Treat every new product as a hypothesis: design lightweight experiments, define clear PMF signals, and iterate rapidly until the market responds.

• Own the 0→1 journey for new Non-Human Identity capabilities — from problem validation through early adopter traction to repeatable growth.

• Identify the right customer segment, articulate a crisp value proposition, and ensure positioning is sharp enough to win in a competitive identity security market.

• Know when to pivot and when to push — use data and direct customer signal to make that call early.

Obsess Over Customer Success

• Treat customer outcomes as the ultimate measure of product quality — not features shipped or deadlines met.

• Engage directly and continuously with customers: be present at onboarding, sit in on support escalations, and run regular discovery conversations to stay close to real-world pain.

• Set a high bar for every launch: ensure customers don't just adopt the product but actively succeed with it and expand usage over time.

• Champion the voice of the customer internally — bring their reality into every roadmap discussion, sprint review, and executive update.

Build with AI — Technically and at Speed

• Rapidly prototype concepts using AI platforms (Claude, OpenAI, Cursor, etc.) to validate ideas before committing engineering resources.

• Architect and execute proof-of-concept builds that demonstrate new product directions to stakeholders and customers with working software, not slides.

• Stay current with the evolving AI tooling landscape and champion adoption of tools that accelerate the team's velocity.

Data & Analytics

• Instrument products from day one — define the metrics, own the dashboards, and use data to drive every major prioritisation decision.

• Build a continuous improvement loop: measure feature adoption, identify friction, form a hypothesis, test, and iterate.

• Partner with data engineering to ensure the right telemetry is in place…