Senior PM: Agentic AI Platform

Location: Bengaluru

Job Overview

We’re hiring a  Senior Product Manager  with  4+ years of PM experience  to own and scale our  Agentic AI + AI Journey products :
AI Agents for Conversations :
Agents that converse with customers across channels and perform actions like  order management  (order status, cancellations, returns, refunds, address changes, COD confirmation, product discovery, etc.)
AI Agents for Journeys :
Agents that analyze customer behavior and intent, choose the right strategy, and send relevant content at the right time on the right channel—driving conversion, retention, and revenue.
A critical expectation: you will make the platform  deeply self-serving , reducing dependence on CSM/support for setup and optimization, and driving product-led adoption.

Key Product Ownership Areas
1) Agentic AI for commerce conversations (multi-channel)
Define agent experiences across Whats App, Email, Instagram, and other channels: tone, context, fallbacks, and handover to human helpdesk.
Build agent capabilities for pre-sales + post-sales use cases.
Ship tool/action execution within conversations (e.g., order lookups, cancellations, returns, refunds, address updates) with strong guardrails and auditability.
Design human-in-the-loop workflows: escalation rules, agent-assist for human agents, quality review loops.

2) AI Agents for journeys (strategy + timing)
Build “AI Journey Agents” that:
Analyze customer signals (purchase behavior, engagement, intent, product affinity),
Choose strategy (convert, upsell, winback, reduce returns, etc.),
Trigger personalization and timing across channels.
Create reusable strategy packs / templates for common e-commerce problems (abandon cart, browse, replenishment, churn risk, COD confirmation, post-purchase nudges).

3) Self-serve platform & product-led adoption (core)
You will own the end-to-end self-serve experience so merchants can discover → configure → launch → optimize with minimal external help:
Guided onboarding: step-by-step setup, checklists, recommended defaults, progressive activation.
Templates & presets: agent templates, journey recipes, industry playbooks, sample content.
In-product education: contextual guidance, examples, “what to do next” recommendations.
Preview/testing tools: sandboxes, simulations, validation, safe rollouts, QA tooling.
Self-serve diagnostics: explainability for outcomes (why agent escalated, why message failed, which action failed).
Optimization loops: insights → recommendations → one-click improvements (timing, audience, content, channel mix).

How You’ll Leverage AI as a Product Manager
We expect you to actively leverage AI to increase speed and quality of execution:
Synthesize discovery: calls/feedback → themes → PRD hypotheses and priorities
Rapidly prototype flows: prompts, tool/action specs, edge cases, conversation scripts
Analytics acceleration: interpret funnels/cohorts/anomalies (with data validation)
Build internal PM accelerators: PRD assistants, QA checklists, release notes, support insight summaries
(You own judgment and correctness; AI is a tool, not the decision-maker.)

Requirements
Must-have
4+ years  of Product Management experience (B2B SaaS preferred)
Proven execution: shipped products end-to-end with cross-functional leadership
Strong product sense: problem framing, prioritization, UX thinking, and metrics orientation
Strong analytical ability: funnels, cohorts, experimentation mindset
Working understanding of AI/LLM products (prompting, tool calling, evaluation, guardrails)
Good to have
E-commerce experience (Shopify/OMS/support flows), conversational UX, messaging platforms
Experience building  self-serve onboarding / PLG  or reducing operational dependency via product design

About Company
Vision : BIK helps e-commerce companies in India to generate more revenue. We work with big e-commerce players in India like Livspace, Firebolt, Tata Brands, Forum mall. We have two products BIK and Manifest AI. Our vision is to be the market leaders in the marketing automation category across the world.
Scale :
We process more than a billion events across these brands on an yearly basis which is increasing rapidly MOM.
Fuel :
Monetizing the product from early days we have a solid business model and our revenue numbers are growing at a healthy pace. Apart from this we are funded by top investors in the world like Sequoia capital and Ycombinator.
People :
We have a culture which gives you a lot of challenges to solve and at the same time get high rewards.