Job Description

Role Name

: Technical Product Manager - AI Delivery

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 looking for a Delivery Product Manager to drive successful implementation and rollout of our Voice AI platform across customer projects. This role sits at the intersection of product configuration, conversational design, and real-world delivery, ensuring that the voicebot works reliably in production and meets customer expectations.
You will deeply understand the Voice AI platform, configure and fine-tune voicebots for different use cases, and act as the single thread connecting project teams, engineering, and ML. This is a hands-on role for someone who enjoys solving real problems, not just defining requirements.

Sounds interesting?

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

Voicebot Configuration & Prompting

Configure voicebots using the platform's tools, workflows, and integrations Own prompt design, guardrails, fallback logic, and conversation behavior Continuously tune prompts based on real call behavior and outcomes

Issue Diagnosis & Problem Solving

Read logs, traces, and call transcripts to quickly identify failure points Distinguish between prompt issues, platform limitations, STT/TTS errors, and integration gaps Propose and implement fixes or workarounds to unblock go-lives

Delivery & Execution Ownership

Work closely with project managers to ensure timely and predictable deliveries Translate business requirements into practical platform configurations Ensure solutions are stable, testable, and production-ready

Cross-Functional Collaboration

Build strong working relationships with engineering, ML, QA, and product teams Clearly articulate issues, root causes, and required fixes to tech teams Act as a trusted problem-solver for both internal teams and customers

Pragmatic Innovation

Identify intelligent workarounds when technology limitations arise Balance "ideal product behavior" with "what works in production today" Feed recurring gaps and learnings back into the core product roadmap


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?

Voicebots go live faster, with fewer surprises in production Issues are diagnosed quickly, with clear root causes and fixes Prompts and configurations continuously improve conversation quality Delivery teams trust you as a problem-solver, and tech teams value your clarity Customer confidence increases with every deployment

What would make you a good fit for this role?

Here are the basic requirements:4-8+ years of experience in product, delivery, or solution ownership roles in AI, voice, or platform products Strong hands-on experience with prompt writing, guardrails, and conversational flows Comfortable reading logs, debugging issues, and reasoning about system behaviour Solid understanding of voicebot / conversational AI concepts (STT, TTS, latency, turn-taking, fallbacks) Ability to work closely with both project teams and engineering teams High ownership, strong execution mindset, and comfort operating in imperfect systems

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 This Role Matters

You directly influence how Voice AI performs in the real world You turn platform capability into customer outcomes You help bridge the gap between evolving AI technology and enterprise expectations

Why should you be interested?

Here's what you will gain from this role:Hands-on exposure to delivering real-world AI solutions for enterprise customers, from design to go-live The opportunity to work closely with product, engineering, and client teams, influencing both delivery outcomes and product evolution A front-row seat to how AI products are implemented, scaled, and refined in a fast-growing SaaS environment

Does this sound like you?

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