Live opening · Posted 1 day ago

HR Manager

Human Loops · Nagpur, Maharashtra, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 1 day ago
CompanyHuman Loops
LocationNagpur, Maharashtra, India (On-site)
Salary500K INR/yr - 600K INR/yr
Work modeNo
SourceLinkedin
ListedPosted 1 day ago

About the role

Description supplied by the original job listing.

Founding HR Manager - Data Factory
Company: Human Loops
Location: Nagpur, Maharashtra
Employment Type: Full-time | Work from Office
Experience: 5 to 8 years (preferred)
About Human Loops
Human Loops is building a next-generation AI data operations ecosystem, bringing together human
intelligence, technology and scalable processes to support AI development.
Our Data Factory operates at the intersection of people, technology and operations, where quality,
productivity and workforce efficiency are critical to delivering exceptional outcomes.
We are looking for a hands-on HR Manager who can build strong people processes, manage a growing
workforce and create a high-performance, people-first culture.
About The Role
This is not a traditional HR role.
Most of our workforce is blue collar: frontline, shift-based staff working on the Data Factory floor. A
smaller part is white collar, across team leads, quality, operations and support roles. You will need to be
just as comfortable on the floor with frontline staff as you are in a meeting with leadership.
As our HR Manager, you will be responsible for managing the complete employee lifecycle while
supporting the operational needs of a fast-paced, workforce-intensive Data Factory.
You will work closely with the leadership and operations teams to ensure we have the right people,
processes and culture to scale efficiently.
We are looking for someone who enjoys being on the ground, solving problems, building systems and
Balancing Employee Experience With Business Requirements.
Key Responsibilities
Workforce Planning & Talent Acquisition
Partner with operations leaders to understand manpower requirements and hiring forecasts.
Drive high-volume recruitment for data operations, annotation, quality assurance and team
leadership roles.
Build efficient hiring, onboarding and workforce deployment processes.
Track recruitment metrics, including time-to-hire, hiring costs and employee retention.
HR Operations & Employee Lifecycle
Manage end-to-end employee lifecycle processes, from onboarding to exit.
Oversee attendance, leave management, shift rosters, payroll inputs and employee records.
Establish HR policies, SOPs and processes suited to a growing operational workforce.
Ensure accurate HR documentation and HRMS data management.
Coordinate with relevant stakeholders on statutory compliance and labour law requirements.
Employee Relations & Engagement
Act as the primary point of contact for employee concerns and workplace grievances.
Build a positive, disciplined and inclusive work environment.
Manage employee relations, conflict resolution, disciplinary processes and workplace conduct.
Drive engagement and retention initiatives, particularly for frontline and shift-based employees.
Develop strong relationships with team leaders and employees across the Data Factory.
Compliance & HR Governance
Ensure compliance with applicable labour laws, statutory requirements and company policies.
Maintain employee records, registers and compliance documentation.
Coordinate payroll-related statutory processes and support internal or external audits.
Implement processes around workplace safety, POSH, confidentiality and employee data
protection.
HR Analytics & Process Improvement
Track key people metrics such as headcount, attrition, absenteeism, hiring efficiency and
employee productivity.
Create regular HR dashboards and management reports.
Identify opportunities to automate and streamline HR operations.
Build scalable people processes as the organization grows.
What We're Looking For
5 to 8 years of progressive HR experience in factories, manufacturing plants
Must have handled HR for a factory, plant or production floor before, including large blue-collar,
shift-based and contract workforces.
Strong experience in HR operations, employee relations, recruitment and statutory compliance.
Experience managing large teams or high-volume operational workforces.
Good understanding of shift-based operations, attendance management and workforce
planning.
Ability to work closely with operations leaders and handle employee issues independently.
Strong communication, problem-solving and stakeholder management skills.
Comfortable working in a fast-paced, evolving startup environment.
Proficiency in Excel, HRMS platforms and HR reporting.
Preferred: Experience setting up HR processes for a new factory, delivery centre, BPO or data operations
facility.
What Makes This Opportunity Different?
At Human Loops, you won't simply be maintaining existing HR processes. You'll have the opportunity to
help build the people infrastructure of a growing AI-focused organization.
You'll work closely with leadership, influence workforce strategy, introduce scalable systems and play a
meaningful role in shaping the employee experience as the Data Factory grows.
If you're an HR professional who enjoys building, taking ownership and making a visible impact, we'd
love to hear from you.
How to Apply
Skip the cover letter. Along with your CV, send us a short note (200 to 300 words) answering one of
These
Tell us about the biggest hiring ramp-up you've handled? How many people did you hire and
in how much time?
How many were blue collar and how many white collars? Where did you find them?
Tell us about the toughest floor-level HR issue you've dealt with in a factory or shift-based
operation. What was the situation and how many workers were involved?
What's biggest problem with Labours in Nagpur?
We read every answer. The best ones tell us what you actually did, not what HR should do in theory.
Email your CV and note to shruti@thehumanloops.com with the subject line “Founding HR Manager,
Data Factory”
Skills: recruitment,payroll,communication,management,excel

Work arrangement
No

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