Job Summary

Title: AI-Native Product Manager - Logistics Delivery

Department: Product

Location: Bengaluru, KA

Experience: 3 to 5 YOE

Role Overview

We help e-commerce brands ship millions of orders through many delivery partners. Behind every order are a few straightforward questions. Which delivery partners can reach this customerWhich one is the best choice for this orderWhen will it actually arriveAnd what happens when something goes wrong

You'll own the products that answer those questions, along with the AI agents we're building on top of them.

We're looking for an AI-native PM. You'll own AI products, and you'll also use AI for most of your own work. You'll use AI coding tools like Claude Code or Cursor to analyze data, build simulations, prototype agent workflows, investigate issues, and turn your repeated tasks into reusable tools.

Something that takes a traditional PM a week with an analyst and an engineer should take you an afternoon.

What you will do

- 1. Delivery coverage
- How brands set up which delivery partners can serve which locations.
- Making setup faster for new brands and reducing configuration errors and support tickets.

Outcome: Brands go live faster, and fewer orders fail because no suitable delivery partner was available.

- 2. Delivery partner selection and recommendations

- The rules and rankings that decide which delivery partner handles each order.
- Balancing cost, speed, delivery success, returns and partner capacity for each brand.

Outcome: Lower cost per delivered order, higher delivery success, and brands that can see why each partner was chosen.

- 3. Simulation

- Running what-if simulations before anything changes in production, like what happens to cost and delivery time if we move 15% of orders from one partner to another
- Turning the results into clear recommendations that brands can act on.

Outcome: Every major change is backed by a simulation before it goes live.

- 4. Delivery date promise

- How accurate the delivery date shown to shoppers is, how often we miss it,



and how that affects the brands sales and customer experience.

Outcome: Shoppers see delivery dates they can trust, and brands see fewer complaints about late orders.

- 5. AI agents

- Defining and shipping AI agents that recommend strategies, explain performance changes, and answer customer questions on their own.
- Owning the evaluation: when the agent is right, when it's wrong, and how we know which.

Outcome: Agents that resolve a measurable share of questions end to end, with answers people can trust and act on.

- 6. Data analysis and customer issue resolution

- Digging into large datasets to answer questions like what happened to a partner's share of orders last week or why delivery success dropped in a region
- Owning customer escalations from the moment they're reported until they're closed, and turning the patterns you see into product fixes.

Outcome: Faster answers for customers, and fewer of the same issues coming back.

How you'll work

- You build things yourself. Use AI coding tools to write SQL, Python scripts and simulations, and build working prototypes without waiting for engineering bandwidth.
- You automate what you repeat If you investigate the same type of issue twice, the third time it should be a reusable script, tool or agent workflow.
- You turn your knowledge into something AI can use Write the guides, knowledge bases and prompts that our AI agents and internal teams rely on.
- You test AI properly Define evaluations, test against real cases, find the failure modes, and know when an agent is confidently wrong.
- You prototype before you write the spec. Show engineering a working prototype instead of a 10-page document whenever you can.
- You own outcomes end-to-end. Write clear PRDs, then stay involved through build, testing, rollout and adoption. Track your products metrics every week and act when they drift.
- You work across teams.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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