Join the HiredNext Team

Responsibilities

 Lead and mentor a team of business support and automation professionals,

ensuring efficient task distribution and timely delivery.

 Act as the primary liaison for internal stakeholders and external vendors,

coordinating development progress and managing expectations.

 Oversee operational support for business and test automation initiatives,

fostering collaboration between teams.

 Provide leadership and direction for test automation efforts, monitoring

progress and impact on quality.

 Explore and promote AI-driven solutions to enhance the support model,

reducing manual effort and improving efficiency.

 Lead Agile ceremonies and act as a Scrum of Scrums Lead when needed,

ensuring cross-team coordination and alignment.

 Identify process improvement opportunities, enhancing efficiency and delivery

outcomes.

 Manage and communicate project updates, risks, and mitigation plans to

stakeholders.

 Foster a collaborative, high-performing team culture, encouraging

accountability and innovation.

Qualifications

 Minimum 12 years of experience in IT, Technology, or Business Support

environments.

 Engineering Graduate (B.E / B.Tech or equivalent) with a strong academic

background.

 Proven leadership experience managing diverse teams, with a track record of

success.

 Excellent stakeholder management and communication skills, able to build

strong relationships.

 Experience coordinating with external vendors and development partners,

ensuring timely deliveries.

 Good understanding of Agile methodologies and the Scrum framework, with a

focus on continuous improvement.

 Ability to drive AI-led efficiency initiatives, with an interest in AI technologies

and their applications.

 Strong organizational skills, able to manage multiple priorities and drive cross-

functional delivery.

 Prior experience with test automation teams or projects is preferred, along

with exposure to AI tools will be added advantage

 Certifications in Agile, Scrum Master, or SAFe will be added advantage.

 Demonstrating a commitment to best practices.

Responsibilities

 Should have good exposure to warranty claim process and Finance & legal

terms related to warranty

 Candidate will be handling the warranty L2 support and also involve and

change management for warranty process.

 Address escalated technical issues for warranty management system and

perform root cause analysis.

 Coordinate with internal teams to resolve complex problems.

 Monitor and report on ticket inflow and outflow, resolution times, and user

management for audits.

 Develop dashboards with defined KPIs to track performance and identify

areas for improvement.

 Conduct regular reviews and implement automated processes using AI

solutions.

 Update the knowledge base and documentation regularly to ensure accuracy

and relevance.

 Explore AI-powered solutions for automated ticket assignment and routing,

self-service options, and virtual assistants to enhance customer satisfaction

and reduce support center load.

 Develop scripts to add automation and streamline support processes.

 Handle change requests and ensure smooth implementation.

Qualifications

 B.Tech or BE degree 

 3-6 years of experience in Warranty claim support for automotive industry and

analysis.

 Strong problem-solving and analytical skills.

 Excellent communication and collaboration abilities.

 Experience with AI and automation technologies is preferred.

 Proficiency in scripting languages for automation.

 Knowledge of ITIL practices and principles.

 Ability to work independently and manage multiple tasks.

 Strong organizational and time management skills.

 A passion for continuous improvement and customer satisfaction.

Required Knowledge:

 Quick comprehension of the topic “Warranty” as well as contextual

relationships

 Process understanding regarding warranty and goodwill as foundation for

identification of bugs within process that need to be resolved

 General understanding of object structure/ logic within Salesforce

 Basic SQL knowledge

 Basic Knowledge about Service Now 

 Knowledge regarding Salesforce indicator (not mandatory)

 Knowledge of Jira

 Familiar with user stories within context of software development

Analytical & Root Cause Skills

L2 should not just approve/reject — they must analyze patterns.

Root Cause Analysis (RCA) methodology

Failure pattern identification

Data analysis (Excel, BI tools preferred)

 Soft Skills

 Open mindedness

 Easy in connecting with other people

 Direct communication in case of any unclarities

 Attention to Details 

 Prioritization Skills

 Patience

Responsibilities

 Should have good exposure to warranty claim process and Finance & legal

terms related to warranty

 Candidate will be handling the warranty L2 support and also involve and

change management for warranty process.

 Address escalated technical issues for warranty management system and

perform root cause analysis.

 Coordinate with internal teams to resolve complex problems.

 Monitor and report on ticket inflow and outflow, resolution times, and user

management for audits.

 Develop dashboards with defined KPIs to track performance and identify

areas for improvement.

 Conduct regular reviews and implement automated processes using AI

solutions.

 Update the knowledge base and documentation regularly to ensure accuracy

and relevance.

 Explore AI-powered solutions for automated ticket assignment and routing,

self-service options, and virtual assistants to enhance customer satisfaction

and reduce support center load.

 Develop scripts to add automation and streamline support processes.

 Handle change requests and ensure smooth implementation.

Qualifications

 B.Tech or BE degree 

 3-6 years of experience in Warranty claim support for automotive industry and

analysis.

 Strong problem-solving and analytical skills.

 Excellent communication and collaboration abilities.

 Experience with AI and automation technologies is preferred.

 Proficiency in scripting languages for automation.

 Knowledge of ITIL practices and principles.

 Ability to work independently and manage multiple tasks.

 Strong organizational and time management skills.

 A passion for continuous improvement and customer satisfaction.

Required Knowledge:

 Quick comprehension of the topic “Warranty & Goodwill” as well as contextual

relationships

 Process understanding regarding warranty and goodwill as foundation for

identification of bugs within process that need to be resolved

 General understanding of object structure/ logic within Salesforce

 Basic SQL knowledge

 Basic Knowledge about Service Now 

 Knowledge regarding Salesforce indicator (not mandatory)

 Knowledge of jira

 Familiar with user stories within context of software development

Analytical & Root Cause Skills

L2 should not just approve/reject — they must analyze patterns.

Root Cause Analysis (RCA) methodology

Failure pattern identification

Data analysis (Excel, BI tools preferred)

 Soft Skills

 Open mindedness

 Easy in connecting with other people

 Direct communication in case of any unclarities

 Attention to Details 

 Prioritization Skills

 Patience

Responsibilities

 Candidate should have good exposure in warranty domain, and handling

warranty support, claims related query, Finance verifications etc.

 Should also have exposure to finance terms.

 Address escalated technical issues and perform root cause analysis.

 Coordinate with internal teams to resolve complex problems.

 Monitor and report on ticket inflow and outflow, resolution times, and user

management for audits.

 Develop dashboards with defined KPIs to track performance and identify

areas for improvement.

 Conduct regular reviews and implement automated processes using AI

solutions.

 Update the knowledge base and documentation regularly to ensure accuracy

and relevance.

 Explore AI-powered solutions for automated ticket assignment and routing,

self-service options, and virtual assistants to enhance customer satisfaction

and reduce support center load.

 Develop scripts to add automation and streamline support processes.

 Handle change requests and ensure smooth implementation.

Qualifications

 B.Tech or BE degree 

 3-6 years of experience in Warranty claim support for automotive industry and

analysis.

 Strong problem-solving and analytical skills.

 Excellent communication and collaboration abilities.

 Experience with AI and automation technologies is preferred.

 Proficiency in scripting languages for automation.

 Knowledge of ITIL practices and principles.

 Ability to work independently and manage multiple tasks.

 Strong organizational and time management skills.

 A passion for continuous improvement and customer satisfaction.

Required Knowledge:

 Quick comprehension of the topic “Finance” as well as contextual

relationships

 General understanding of object structure/ logic within Salesforce

 Basic Knowledge about Service Now

 Familiar with user stories within context of software development

 General understanding of warranty process (link to WP Warranty & Goodwill)

Analytical & Root Cause Skills

 L2 should not just approve/reject — they must analyze patterns.

 Root Cause Analysis (RCA) methodology

 Failure pattern identification

 Data analysis (Excel, BI tools preferred)

Responsibilities

 Candidate should have good exposure in warranty domain, and handling

warranty support, claims related query, Finance verifications etc.

 Should also have exposure to finance terms.

 Address escalated technical issues and perform root cause analysis.

 Coordinate with internal teams to resolve complex problems.

 Monitor and report on ticket inflow and outflow, resolution times, and user

management for audits.

 Develop dashboards with defined KPIs to track performance and identify

areas for improvement.

 Conduct regular reviews and implement automated processes using AI

solutions.

 Update the knowledge base and documentation regularly to ensure accuracy

and relevance.

 Explore AI-powered solutions for automated ticket assignment and routing,

self-service options, and virtual assistants to enhance customer satisfaction

and reduce support center load.

 Develop scripts to add automation and streamline support processes.

 Handle change requests and ensure smooth implementation.

Qualifications

 B.Tech or BE degree 

 3-6 years of experience in Warranty claim support for automotive industry and

analysis.

 Strong problem-solving and analytical skills.

 Excellent communication and collaboration abilities.

 Experience with AI and automation technologies is preferred.

 Proficiency in scripting languages for automation.

 Knowledge of ITIL practices and principles.

 Ability to work independently and manage multiple tasks.

 Strong organizational and time management skills.

 A passion for continuous improvement and customer satisfaction.

Required Knowledge:

 Quick comprehension of the topic “Finance” as well as contextual

relationships

 General understanding of object structure/ logic within Salesforce

 Basic Knowledge about Service Now

 Familiar with user stories within context of software development

 General understanding of warranty process (link to WP Warranty & Goodwill)

Analytical & Root Cause Skills

 L2 should not just approve/reject — they must analyze patterns.

 Root Cause Analysis (RCA) methodology

 Failure pattern identification

 Data analysis (Excel, BI tools preferred)

Soft Skills

 Open mindedness

 Easy in connecting with other people

 Direct communication in case of any unclarities

 Attention to Details 

 Prioritization Skills

 Patience

 Open mindedness

 Easy in connecting with other people

 Direct communication in case of any unclarities

 Attention to Details 

 Prioritization Skills

 Patience

Purpose of the Role

Drive university relations, early talent strategy, and employer branding initiatives to build strong talent pipelines, academic partnerships, and a compelling employer brand for future workforce needs.

Key Responsibilities

University Relations & Early Talent Strategy

• Define and execute university relations and early talent strategy aligned with business priorities
• Build and manage strategic academic partnerships for hiring, innovation, and capability building
• Lead end-to-end campus hiring and early career programs (internships, apprenticeships, trainee onboarding, and performance management)
• Represent the organization in academia–industry collaborations and forums

Employer Branding

• Define and drive employer branding and EVP strategy to position the organization as an employer of choice
• Collaborate with HR, business, and communications teams to translate culture and employee experience into a compelling brand narrative
• Manage employer branding across digital platforms (social media, careers site, campaigns, leadership & employee storytelling)
• Track and enhance brand perception, engagement, and hiring conversion through data-driven initiatives

Key Skills

• Knowledge of HR recruitment systems (e.g., Oracle or similar platforms)
• Strong communication and interpersonal skills with creative storytelling ability
• Stakeholder management and cross-functional collaboration

Education & Experience

• Bachelor’s/Master’s degree in HR, Business Administration, Psychology, or related field
• 8–10 years of experience in campus hiring, talent acquisition, or employer branding
• Proven track record in executing campus engagement programs and EVP-driven branding strategies
• Experience working with cross-functional teams and exposure to digital/social branding platforms (LinkedIn, Glassdoor, career sites, etc.)

 Description

• Strong executive communication and storytelling skills with the ability to simplify complex technical topics.
• Solid understanding of enterprise IT infrastructure environments (cloud, compute, collaboration, workplace services, or networks).
• Strategic thinking combined with strong execution and program governance capability.
• High level of discretion, stakeholder maturity, and ability to operate in a global matrix environment.
• Analytical mindset with ability to synthesize data into actionable insights.

Responsibilities

• Partner closely with the leader to drive strategic priorities across global IT infrastructure domains including cloud, workplace, data center, networks, and collaboration.
• Prepare executive briefings, decision papers, and structured insights to support leadership forums, steering committees, and global reviews.
• Establish governance cadence across programs by tracking milestones, risks, and dependencies across regions and teams.
• Act as a central point of coordination between infrastructure leadership, enterprise IT stakeholders, and business functions.
• Translate complex technical initiatives into clear business narratives for senior leadership communication.
• Support organizational planning, leadership offsites, and transformation initiatives within Global IT Infrastructure.
• Enable operational excellence by managing leadership dashboards, metrics tracking, and follow-through on strategic actions.
• Facilitate preparation for executive engagements, global townhalls, and leadership communications.
• Bring structured thinking to problem solving, anticipating leadership needs and proactively driving outcomes.

Qualifications

• Bachelor’s degree in Engineering or Technology; MBA or equivalent business qualification preferred.
• 8–12 years of experience across IT strategy, program management, consulting, or senior leadership support roles.
• Prior exposure to infrastructure or enterprise technology environments is strongly preferred.
• Experience working with global stakeholders and senior leadership teams will be an advantage

Key Tasks, Responsibilities & Project Areas:

• Partner with operational teams to apply AI where it adds the most value.

• If Software:

• Embed AI into development workflows — code review, bug prediction, backlog prioritization, and CI/CD enhancements.

• If Procurement:

• Deploy AI for supplier risk prediction, cost forecasting, supplier scoring, and contract optimization.

• Translate challenges into actionable AI projects with clear ROI.

• Run rapid pilot projects to validate AI concepts before scaling across multiple sites.

• Bridge technical teams and operations stakeholders, ensuring AI models are both technically sound and operationally effective.

• Pilot, refine, and scale AI solutions across global operations.

• Champion AI adoption and train teams to use tools effectively.

• Develop predictive solutions to anticipate bottlenecks and integration conflicts.

Key Skills:

• Deep understanding of Software Engineering or Procurement processes.

• Ability to reframe operational pain points into actionable AI projects.

• Skilled in balancing technical ambition with business practicality.

Education Qualification & Experience:

• Degree in Computer Science, Data Science, Industrial Engineering, or equivalent.

• Strong experience in Machine Learning, Data Engineering, and AI implementation.

• Hands-on expertise with AI/ML frameworks (TensorFlow, PyTorch) and industrial data platforms.

• Proven track record of building production-ready AI systems.

• Preferably 10+ years of total experience (as of 31st December 2025).

Personal Attributes:

• Hands-on problem solver, comfortable working on-site and iterating solutions.

• Excellent communication skills to engage both technical and non-technical stakeholders.

• Strong collaborator across diverse cultural and functional teams.

• Continuous learner with a passion for innovation.

Key Tasks, Responsibilities & Project areas:

• Work with 360 degree of stakeholders from reporting teams to peers to managers & with partners to build a compelling ecosystem for aftersales connecting process, product & digitalization.

• Partner with stakeholders to identify what can be simplified, develop a modernization plan, and lead teams in executing it while building their knowledge and capabilities.

• Develop and maintain an end-to-end understanding of the aftersales systems architecture to innovate and drive changes that simplify integrations, workflows, and data flows.

• Collaborate with aftersales markets across service contracts, warranty, diagnostics, and parts to align practices and improve outcomes.

• Work closely with IT and Data teams to create synergies across platforms, integrations, and master data, establishing a cohesive aftersales ecosystem.

• Bring relevant, latest technology trends to aftersales and maintain an overview of the cloud and data ecosystem that underpins the infrastructure.

• Apply GenAI to ticketing systems; assess and learn existing models and algorithms that support aftersales and implement improvements to increase efficiency while adhering to responsible AI practices.

• Collaborate with global teams at MBT and DTNA to drive synergy, simplification, and appropriate globalization, while ensuring necessary regional autonomy.

Key Skills:

• Aftersales process mastery: Deep, end-to-end understanding of aftersales operations with the ability to design, standardize, and continuously improve processes to enhance customer outcomes and efficiency.
• Enterprise IT fluency: Strong command of cloud platforms, infrastructure, enterprise applications, and data architecture; adept at integrating systems and leveraging data to inform decisions and drive automation.
• Applied GenAI excellence: Skilful in designing and deploying GenAI solutions within the native enterprise environment to augment knowledge, streamline workflows, and improve service KPIs—grounded in responsible AI practices.
• Strategic storytelling and communication: Exceptional ability to articulate complex concepts clearly, craft compelling narratives, and influence stakeholders to align strategy and execution.
• People leadership and team cultivation: Proven capacity to connect, inspire, and develop teams; lead by example, foster psychological safety and ownership, and build a culture of collaboration and continuous improvement.

Location: Vapi – Factory

Industry: Garment Manufacturing / Apparel Export

Experience Required: 12 – 18+ Years

Reporting To: Directors / Head Office

Job Summary

We are seeking an experienced and result-driven Production Head / Plant Head to lead and manage the overall production operations at our garment manufacturing facility in Vapi. The role requires strong expertise in production planning, large-scale manufacturing management, team leadership, and process optimisation.

The ideal candidate will be responsible for ensuring on-time shipment, high production efficiency, quality compliance, cost control, and optimal utilisation of factory capacity while managing large production teams and coordinating closely with merchandising, quality, and management teams.

Key Responsibilities

Production Planning & Execution

• Lead end-to-end garment production operations and ensure 100% on-time shipment with strict quality compliance.

• Plan and break down monthly production targets into weekly and daily production plans.

• Monitor production efficiency, line output, and productivity across all departments.

• Ensure optimal capacity utilisation of factory resources and machinery.

• Manage multiple production orders simultaneously (100+ active orders).

• Reduce style changeover time (QCO) and improve overall production flow.

• Ensure production capability to handle 2.5+ lakh garments per month.

Cost & Efficiency Management

• Control and monitor production costs and operational expenses.

• Implement process improvements and automation initiatives for productivity enhancement.

• Conduct production risk analysis and corrective action planning to avoid shipment delays.

• Improve line balancing, workflow efficiency, and floor management.

• Ensure proper preventive maintenance of machinery and equipment.

• Monitor housekeeping and operational discipline on the production floor.

Team Leadership & Factory Management

• Lead and manage large production teams, supervisors, and line managers.

• Recruit, train, and develop production and QC teams.

• Maintain strong coordination between production, IE, quality, maintenance, and merchandising teams.

• Conduct weekly production review meetings with management and HO teams.

• Ensure transparent communication with Directors, Merchandisers, Contractors, and Buyers.

Quality & Compliance

• Ensure quality standards are maintained throughout the production process.

• Monitor PPM levels and implement strong QA systems.

• Maintain ISO documentation, compliance standards, and audit readiness.

• Coordinate and support during buyer audits and QC inspections.

Buyer & Contractor Management

• Handle buyer visits, factory audits, and production reviews independently.

• Coordinate with contractors and external production units when required.

• Ensure proper production planning and control for outsourced work.

Required Skills & Competencies

• Strong expertise in garment manufacturing processes (Woven / Denim preferred)

• Production planning and factory capacity management

• Line balancing and productivity improvement

• Large team leadership and manpower management

• Contractor and vendor coordination

• Strong ERP and production reporting knowledge

• Understanding of European market requirements (added advantage)

• Excellent communication, negotiation, and decision-making skills

Preferred Candidate Profile

• Experience managing factories with 600+ machines

• Ability to handle 100+ styles/orders simultaneously

• Experience managing large-scale production volumes (2.5+ lakh garments per month)

• Strong exposure to modern garment manufacturing technology and machinery

• Strong floor presence and hands-on production leadership

• Ability to work under pressure and meet tight shipment deadlines