Senior Product Manager

Role Name: Senior Product Manager - Voice AI

At Kapture CX, we are looking for a Technical Product Manager - AI Delivery in our Machine Learning team.

Who are we?

Kapture CX is a leading SaaS platform that helps enterprises automate and elevate customer experience through intelligent, AI-powered solutions. We partner with enterprises across industries to bring scalable automation and insight-driven efficiencies to their CX operations. Over a thousand clients across 18 countries have used Kapture's products to enhance their customer experience, including Unilever, Reliance, Coca-Cola, Bigbasket, Meesho, Airtel Payments Bank and Cathay Pacific. Kapture delivers industry-specific solutions powered by AI, tailored workflows, and seamless automation.

Kapture CX is headquartered in Bangalore and we have offices in Mumbai and Delhi/NCR in India, in addition to offices in the USA, UAE, Singapore, Philippines and Indonesia.

What is this role all about?

We are building a next-generation Voice AI platform that is already live with customers and solving real, large-scale conversational use cases. Having validated core capabilities and platform stability, we are now entering the next phase of evolution — scaling the product, deepening intelligence, and building industry-first voice experiences.

We are looking for a Senior Product Manager who will own the end-to-end product roadmap, drive innovation across conversational intelligence, and partner closely with engineering, ML, and delivery teams to take the platform from strong foundation to category-defining leadership.

This is a hands-on role for someone excited about shaping a 01 product that already has real-world traction, not a greenfield experiment.

Sounds interesting?

Here's a more detailed description of what you will do in this role:

Product Vision & Roadmap

• Own and evolve the long-term roadmap for the Voice AI platform
• Identify opportunities to move from feature-complete to experience-led and intelligence-led differentiation
• Balance near-term customer needs with long-term platform bets

Conversational & Voice Intelligence

• Drive product decisions around conversation flow, turn-taking, barge-in handling, latency, and naturalness
• Partner with ML teams to translate advances in LLMs, speech models, and multimodal systems into usable product capabilities
• Define what "human-like voice interaction" means at scale

Platform & Ecosystem Thinking

• Build the product as a platform — APIs, integrations, extensibility, and enterprise-readiness
• Ensure the product scales across industries, use cases, and volumes
• Work closely with delivery and presales teams to convert learnings into reusable product capabilities

Execution & Cross-Functional Leadership

• Drive alignment across engineering, ML, design, QA, and delivery
• Make trade-offs with clarity and data
• Own PRDs, success metrics, and release outcomes end-to-end

Customer & Market Insight

• Stay close to customers, implementations, and live deployments
• Translate real production feedback into roadmap priorities
• Track competitive landscape and ensure the product stays ahead
• Track and report progress across ongoing engagements and escalate risks proactively.
• Document product feedback and insights from delivery to help prioritize future enhancements.

This is a Bengaluru based role. We work five days a week from the office, as we believe in-person interactions fuel innovation and agility.

What does success look like in this role?

Success means making Voice AI feel as natural and human as possible, while pragmatically navigating technological and enterprise constraints. It reflects measurable improvements in conversation quality, reliability, and real-world usability at scale.

What would make you a good fit for this role?

Here are the basic requirements:

• 6–10+ years of product management experience, preferably in AI, voice, conversational systems, or platforms
• Proven experience owning a 01 or early-stage platform that has gone live and scaled
• Strong systems thinking — able to reason about architecture, workflows, and real-time systems
• Comfortable working with ML, speech, and backend engineering teams
• Bias for execution with a strong product intuition
• Ability to communicate confidently with internal teams and external stakeholders

You will have an advantage if you:

• Exposure to AI/ML-driven use cases, automation tools, or CRM platforms.
• Experience in client implementation or delivery roles within enterprise SaaS.

Why should you be interested?

Here's what you will gain from this role:

• Ownership of a live, enterprise-grade multilingual Voice AI platform
• Hands-on experience building and scaling real-time AI products
• Opportunity to drive industry-first innovation with high visibility and impact

Does this sound like you?

Click the Apply button to let us know