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Senior Product Manager

Saviynt -
Bengaluru, Karnataka

Apply Now

Job details

Full-time

Qualifications

Go
Law
PaaS
Information security
Java
Master's degree
RBAC
JavaScript
Product management
B2B
Software development
APIs
SaaS
AI
Communication skills
Python
Identity & access management

Full job description

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.

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 before, not after, launch.

Lead Across the Business

Align engineering, design, sales, and customer success around a shared definition of success — and hold the team accountable to it.

• Drive sprint planning, dependency management, and cross-functional decision-making with clarity and speed. • Communicate roadmap decisions and product strategy to executive stakeholders in the language of business outcomes.

What you Bring

10 years of product management experience, with at least 4 years in a B2B SaaS environment.

Hands-on experience building with AI tools (Claude, OpenAI APIs, Cursor, or similar) — and fluency in structured, spec-driven AI development: you write clear specs, use AI to accelerate implementation, and review and own the output. Not just vibe coding.

Strong software development background — you’ve written production-quality code in one or more of Go (Golang), Java, Python, or JavaScript, and can reason deeply about system architecture, APIs, and data models.

Solid grasp of identity and access management concepts (SSO, RBAC, directory services, identity governance, Non-Human Identity) — experience with identity security or Zero Trust architecture is strongly preferred.

Track record of leading cross-functional teams and delivering complex features on time.

Exposure to LLM fine-tuning, prompt engineering, or AI agent workflows.

Excellent written and verbal communication skills — you can simplify the complex.

Nice to Have

• Prior experience at an early-to-mid stage startup where you wore multiple hats. • Hands-on experience building LLM-based applications using frameworks such as LangChain, LlamaIndex, or RAG (Retrieval-Augmented Generation) patterns.

If required for this role, you will:

Complete security & privacy literacy and awareness training during onboarding and annually thereafter
Review (initially and annually thereafter), understand, and adhere to Information Security/Privacy Policies and Procedures such as (but not limited to):

> Data Classification, Retention & Handling Policy

> Incident Response Policy/Procedures

> Business Continuity/Disaster Recovery Policy/Procedures

> Mobile Device Policy

> Account Management Policy

> Access Control Policy

> Personnel Security Policy

> Privacy Policy

Saviynt is an amazing place to work. We are a high-growth, Platform as a Service company focused on Identity Authority to power and protect the world at work. You will experience tremendous growth and learning opportunities through challenging yet rewarding work which directly impacts our customers, all within a welcoming and positive work environment. If you're resilient and enjoy working in a dynamic environment you belong with us!

Saviynt is an equal opportunity employer and we welcome everyone to our team. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Apply Now

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