We are looking for a Senior Product Manager who brings genuine depth in Voice AI or BFSI, and the execution muscle to turn complex enterprise problems into products that actually get used. In this role, you won’t just be shipping features. You will be leading a product charter within one of the most consequential applications of AI in Indian financial services.

As a senior member of a lean, fast-moving team, you will own your charter end-to-end, from discovery through delivery and adoption. You will work directly with enterprise customers, founders, and engineering to define what our AI platform does next, and be accountable for the outcomes, not just the output.

Location: Mumbai / Bengaluru

What You’ll Do

1. Domain Depth: BFSI or Voice AI

• Know your domain: You bring meaningful depth in at least one of two worlds. Either the BFSI industry (how banks, NBFCs, fintechs, and insurance companies actually operate, where their workflows break down, and what compliance and operations teams really care about) or Voice AI products (how conversational AI systems are built, deployed, and fail at scale; the difference between a bot that handles volume and one that handles nuance). Either gives you a head start that matters.

• Translate domain into product: You can take a messy enterprise requirement, buried in regulatory language, competing stakeholder asks, and legacy process assumptions, and distill it into a clean product opportunity with a clear north star. Your domain knowledge makes you faster at this, not more rigid.

• Bridge the gap: Wherever your depth starts, you close the other side quickly. You understand that Voice AI only creates real value in BFSI when you understand both, and you’re genuinely curious about whichever world is newer to you.

2. Charter Ownership & Cross-Functional Execution

• Own a product area: Lead a focused charter, whether that’s a specific use case vertical (collections, servicing, onboarding), a platform capability (analytics, integrations, configurability), or an enterprise workflow. You set the vision, own the roadmap, and are accountable for outcomes, not just delivery.

• Enterprise discovery: Run structured discovery with CXOs, operations heads, and compliance teams. Navigate competing stakeholder inputs without losing the thread, and surface insights that become product decisions, not slide decks.

• Ship and drive adoption: Manage delivery across engineering, QA, and customer success. Features that go live but don’t get used aren’t shipped. You’re not done until they’re embedded in customer workflows and generating measurable value.

• Go-to-market partnership: Work closely with sales and solutions teams during pre-sales, pilots, and expansion. Your product knowledge should be a competitive asset in enterprise conversations, not something that stays inside the building.

3. Product Instinct & Domain Judgment

As AI compresses the time to build, the ability to deeply know the customer, and separate what they actually need from what they ask for, becomes the rarest and most valuable PM skill.

• Anticipate, don’t just respond: The best product decisions at GreyLabs won’t come from feature requests. They’ll come from someone who understands the customer deeply enough to see around corners. Whether that instinct is built from years inside BFSI or years shipping voice AI products, you should be able to walk into a room and identify the real problem before anyone has named it.

• Opinionated prioritisation: You have a clear point of view on what matters and what doesn’t. You can push back on a customer request that would create technical debt without strategic value, say no to a feature that solves one account’s edge case, and explain why in terms the account team and the customer will respect.

• Quality as a habit: You hold a high bar for what “done” means. A feature that’s live but not adopted, or a workflow that works in the demo but breaks in production, is not done. You define success criteria before you start, and you follow through until they’re met.

4. Ambiguity & Growth

• Voice AI in Indian BFSI is not a mature category. The use cases, the regulation, and the customer expectations are still being written. You should be energised by that, comfortable holding a strong opinion while remaining genuinely open to being wrong, and disciplined about evolving your thinking as the market does.

What We’re Looking For

• 6+ years of product management experience: with a track record of owning a product area end-to-end in a B2B SaaS or enterprise environment. You’ve led charters, not just contributed to them.

• Deep domain expertise in BFSI or Voice AI: A genuine track record in at least one: meaningful experience building for or within financial services (banking, NBFC, fintech, insurance) or substantial experience owning and shipping voice or conversational AI products. Both are learnable. Just not both from scratch, at the same time, in a fast-moving startup.

• Enterprise execution: You’ve managed complex, multi-stakeholder enterprise rollouts where success means adoption and workflow change, not just deployment. You understand what it actually takes to get a bank to change how it operates.

• AI curiosity with some proof: You’ve worked on, shipped, or meaningfully engaged with an AI product, professionally or otherwise. You understand the fundamental difference between AI-driven and rule-based products, and have opinions about it.

• Clear, direct communicator: You write and speak with precision. A Chief Collections Officer in the morning, a backend engineer in the afternoon. You adapt fluently between both.

Why Join Us?

GreyLabs AI builds enterprise-grade Voice AI systems for India’s BFSI ecosystem. Our technology powers high-volume, regulated use cases across collections, sales, servicing, compliance, and customer engagement.

We work with 40+ leading banks, NBFCs, fintechs, and insurance companies, solving complex, real-world problems where performance, reliability, auditability, and data security are non-negotiable. Our systems operate at scale, handling millions of interactions across diverse languages, accents, and customer contexts.

As a Series A-funded company, we are scaling rapidly - deepening our product capabilities, expanding our enterprise footprint, and building long-term technology moats in AI-first workflows.

At GreyLabs, ownership is real. We value clarity of thinking, bias for action, intellectual honesty, and high craft standards. Teams operate with autonomy, move fast, and are trusted to take ideas from concept to production.

If you’re excited about building meaningful technology in a high-impact, high-accountability environment, you’ll feel at home here.