AI Product Manager

Join our AI automation product team to own and scale AI-driven automation across merchant-facing digital support channels including email, voice, WhatsApp, and in-app chatbot experiences.

What you'll do

• Improve merchant support outcomes by building AI agents that classify, deflect, resolve, and escalate merchant queries with high accuracy and low operational risk.
• Take over active delivery, improve production quality, and define the next phase of AI-led merchant self-service.
• Increase automation coverage across merchant support channels and improve merchant support turnaround time. Improve health metrics for the agents already live
• Expand autonomous resolution safely across more categories
• Build a detailed roadmap for additional channels with measurable quality gates
• Work in tight collaboration with AI engineering, CRM product and engineering, Customer Experience and Operations QA, InfoSec, Data Engineering and external vendors
• Identify and build AI-native workflows using agents, MCP integrations, and LLM-powered tools to shorten cycle times and unlock new product capabilities.
• Analyze product and transaction data to guide decisions, monitor adoption, and identify issues.

What we're looking for

• 1–4 years of product management or related technical experience.
• Engineering degree from a top-tier institution (IITs, NITs, BITS, or equivalent).
• MBA from a premier B-school (IIMs, ISB, FMS, or equivalent) is a plus.
• Experience owning B2B, SaaS, fintech, support automation, CRM, or AI products
• Strong technical foundation — comfortable with APIs, system architectures, and technical discussions.
• Experience with conversational AI, chatbots, email automation, or voice bots is highly preferred

AI tooling & Other skills

• Hands-on with AI in daily workflows — building with it, not just familiar.
• Practical understanding of LLMs, AI agents, prompt workflows, classification systems, and deterministic tool-based automation
• Experience with agentic workflows, prompt engineering, code-generation tools, and AI-assisted product development.
• Use AI for writing specs, analyzing data, prototyping, and automating tasks.
• Curious about the latest AI developments — agents, skills, MCP, multi-modal modelswith a bias for experimentation.
• Excellent communication skills, with the ability to influence and collaborate effectively across teams and levels of the organization.
• Passion for innovation and a customer-centric mindset, with a relentless focus on delivering value to users and driving business growth
• Ability to thrive in ambiguity and lead through change, with a willingness to roll up sleeves and tackle challenges head-on.