Skip to content

Open nowPosted yesterday

Warehouse Automation Manager, Engineering

Amazon / AWS22,352 open roles

Where
Bengaluru, Karnataka, IND
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowWarehouse Automation Manager, EngineeringAmazon / AWS · Bengaluru, Karnataka, IND
  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Amazon / AWS's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market. Amazon / AWS postings stay open a median of 11 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted yesterday

Amazon / AWS median: 11 days open

The posting

Are you passionate about designing automation solutions that improve how millions of packages move through a fulfillment network? Amazon is looking for a Warehouse Automation Manager to drive innovation and product development for material handling equipment (MHE) across our operations. In this role, you will own the automation roadmap — from early-stage concept engineering and prototype design through vendor development and full-scale rollout. You will research emerging technologies, evaluate cost-effective alternatives, and collaborate with Safety, Maintenance, Process Engineering, and Finance teams to deliver solutions that increase productivity and capacity. If you thrive on turning ideas into real-world systems that operate at scale, we want to hear from you.

Key job responsibilities - Design and standardize automation prototypes for conveyors, lifts, and other MHE, managing the full lifecycle from concept engineering through implementation and performance qualification. - Build and own the automation roadmap by researching new technologies, benchmarking industry best practices, and evaluating alternative solutions that balance quality, cost, and operational impact. - Collaborate with cross-functional stakeholders — including Safety, Maintenance, Process Engineering, and Finance — to develop material flow layouts and engineering specifications for new and existing facilities. - Lead vendor qualification, development, and management activities including preparation of Requests for Information (RFI), Requests for Quotation (RFQ), and scopes of work, while driving techno-commercial discussions with procurement and project teams. - Leverage generative artificial intelligence (GenAI) tools and data-driven analysis to identify process improvements, optimize designs, and accelerate solution development cycles.

A day in the life You will start your week reviewing progress in business review forums, aligning priorities against the automation roadmap, and adjusting plans based on operational feedback. Much of your time is spent independently — prototyping concepts, analyzing power requirements, and refining engineering specifications — then shifting into collaborative sessions with partner teams to pressure-test designs and resolve technical trade-offs. You will stay connected to the professional community and market trends, bringing fresh ideas back to the team to keep solutions affordable and forward-looking.

About the team Our team is on a mission to strengthen Amazon's automation charter by creating innovative MHE solutions that scale operations across fulfillment buildings. We work at the intersection of mechanical engineering, controls, and product development, turning ideas into systems that move real packages every day. Senior leaders provide strategic vision while team members take ownership of execution, building expertise through self-directed learning and engagement with the broader engineering community. This is a team where your work directly translates into measurable productivity and capacity gains.

- Bachelor's degree - Experience of automated equipment including packaging machinery, sortation and conveyor systems - Experience with Kaizen and Continuous Improvement Process

- Experience in a fast-paced, automated, industrial, logistics, production or manufacturing environment - Experience in preventative maintenance systems

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Amazon / AWS's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.
  3. We apply on Amazon / AWS's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.
  4. Every reply, sorted

    Amazon / AWS's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.
  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

By hand5–10
With CV Rocket100
applications a day

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.