Automation Conusltant

Posted 3 Days Ago
Be an Early Applicant
Pune, Mahārāshtra, IND
In-Office
100K-2M Annually
Expert/Leader
Artificial Intelligence • HR Tech • Professional Services • Software
The Role
Lead cross-functional engineering teams to define technical roadmaps and deliver scalable software and ML-driven solutions that improve manufacturing and operational efficiency. Drive engineering best practices, mentor teams, manage project planning and risks, collaborate with product and business stakeholders, and promote continuous improvement and technology adoption.
Summary Generated by Built In

This role is for one of the Weekday's clients

Salary range: Rs 100000 - Rs 2000000 (ie INR 1-20 LPA)

Experience: 10+ yrs

Location: Pune

Job Type: full-time

We are seeking an experienced Engineering Manager to lead the development and delivery of innovative technology solutions that drive operational excellence and business growth. This role is ideal for a strategic leader with a strong engineering background, product mindset, and experience leveraging Machine Learning to solve complex business challenges. You will lead cross-functional engineering teams, collaborate with product and business stakeholders, and drive the execution of scalable digital solutions that enhance manufacturing and operational efficiency.

As an Engineering Manager, you will be responsible for defining technical roadmaps, managing engineering execution, mentoring high-performing teams, and ensuring the successful delivery of technology initiatives. The ideal candidate combines technical expertise with leadership skills and has a strong understanding of product development, engineering best practices, and data-driven decision-making in industrial or manufacturing environments.


RequirementsKey Responsibilities
  • Lead and mentor engineering teams, fostering a culture of innovation, collaboration, and continuous improvement.
  • Define technical strategy and engineering roadmaps aligned with business and product objectives.
  • Collaborate closely with product managers, business stakeholders, and cross-functional teams to translate business requirements into scalable technical solutions.
  • Drive the design, development, deployment, and maintenance of high-quality software and engineering solutions.
  • Identify opportunities to leverage Machine Learning and data-driven technologies to improve operational efficiency, product performance, and business outcomes.
  • Establish engineering best practices, coding standards, quality processes, and delivery methodologies across teams.
  • Oversee project planning, resource allocation, risk management, and timely execution of engineering initiatives.
  • Monitor project progress, resolve technical challenges, and ensure delivery within scope, budget, and timelines.
  • Promote continuous improvement through performance monitoring, process optimization, and technology adoption.
  • Work closely with operations and business teams to support digital transformation and enhance manufacturing processes where applicable.
  • Stay updated on emerging technologies, industry trends, and engineering innovations to drive continuous advancement.
What Makes You a Great Fit
  • Proven experience as an Engineering Manager leading high-performing engineering teams and delivering complex technology solutions.
  • Strong understanding of Machine Learning concepts and their practical application to business or operational challenges.
  • Experience collaborating with Product Managers to define product strategies, prioritize features, and deliver customer-focused solutions.
  • Strong leadership, mentoring, and people management skills with the ability to build and motivate high-performing teams.
  • Excellent project management, problem-solving, and decision-making capabilities.
  • Experience delivering scalable software solutions using modern engineering practices and Agile methodologies.
  • Ability to balance technical excellence with business priorities and product goals.
  • Strong communication and stakeholder management skills, with the ability to collaborate effectively across engineering, product, and business teams.
  • Exposure to manufacturing engineering, manufacturing operations, or industrial technology environments is an added advantage.
  • Self-driven, strategic, and passionate about building innovative engineering solutions that create measurable business impact.

Skills Required

  • 10+ years of experience
  • Proven experience as an Engineering Manager leading high-performing teams
  • Strong understanding and practical application of Machine Learning to solve business problems
  • Experience delivering scalable software solutions using modern engineering practices and Agile methodologies
  • Experience collaborating with Product Managers to define product strategy and prioritize features
  • Strong leadership, mentoring, and people management skills
  • Excellent project management, problem-solving, and decision-making capabilities
  • Strong communication and stakeholder management skills
  • Exposure to manufacturing engineering, operations, or industrial technology environments
  • Self-driven, strategic mindset focused on measurable business impact
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
Year Founded: 2021

What We Do

Weekday is an AI-powered recruitment platform that helps startups hire top-tier engineering and product talent. By leveraging a massive database of white-collar professionals and advanced outreach tools, the company streamlines the hiring process through automated sourcing, AI-driven resume screening, and white-glove contingency services. Their mission is to modernize recruitment by enabling companies to discover and engage passive candidates efficiently, ensuring high-quality hires for critical roles.

Similar Jobs

CrowdStrike Logo CrowdStrike

Site Reliability Engineer

Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Hybrid
Pune, Mahārāshtra, IND
10000 Employees

Ericsson Logo Ericsson

Cloud System Expert

Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
In-Office
Pune, Mahārāshtra, IND
88000 Employees

Mondelēz International Logo Mondelēz International

Analyst, Service Operations (Delivery)

Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Remote or Hybrid
India
90000 Employees

TransUnion Logo TransUnion

Architect

Big Data • Fintech • Information Technology • Business Intelligence • Financial Services • Cybersecurity • Big Data Analytics
Hybrid
Pune, Mahārāshtra, IND
13000 Employees

Similar Companies Hiring

Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
42 Employees
Kepler  Thumbnail
Fintech • Software
New York, New York
6 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account