Job Description
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Role Overview
We are looking for experienced professionals with 2–3 years of experience in Operations and Management roles who are eager to grow in a fast-paced startup environment.
Selected candidates will undergo a 3–4 month structured On-the-Job Training (OJT) program to gain in-depth exposure to our business operations, processes, performance management, and operational frameworks before independently managing responsibilities.
Key Responsibilities
- Support and manage day-to-day business and operational activities.
- Monitor productivity, quality, and operational performance metrics.
- Prepare MIS reports and analyze business data.
- Track KPIs and provide regular performance updates.
- Assist in process improvement, SOP creation, and workflow documentation.
- Coordinate with internal teams to ensure smooth business operations.
- Support onboarding, training, task allocation, and operational follow-ups.
- Identify operational gaps and recommend improvement initiatives.
- Work on business projects and provide data-driven insights.
- Take ownership of assigned tasks and ensure timely completion.
Eligibility Criteria
- Full-time MBA is mandatory.
- MBA specialization in Operations, Finance, Analytics, Business Management, or related fields.
- 2–3 years of experience in Operations and Management roles is mandatory.
- Freshers are not eligible for this position.
- Strong analytical and problem-solving skills.
- Excellent communication and interpersonal skills.
- Good knowledge of MS Excel, PowerPoint, and reporting tools.
- Ability to work in a fast-paced environment and manage multiple priorities.
- Comfortable working in NOAM/EMEA shift timings.
Work Details
Work Mode: Permanent Work From Home
Shift: NOAM/EMEA
CTC: As per industry standards
Ideal Candidate: Analytical Thinker | Problem Solver | Quick Learner | Self-Starter | Strong Communicator | Team Player
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Gigmos
View Company ProfileGigmos (operating under gigmos.com, legally Gigmo Solutions Pvt. Ltd.) is a premier, enterprise-grade on-demand customer support platform, decentralized gig economy pioneer, and contact center AI orchestration powerhouse engineered to act as the definitive, high-velocity omnichannel support, technical troubleshooting, and elastic workforce scaling layer for global software houses and enterprises. Founded by corporate technology veterans Puneet Narang and Mukund Krishna, the platform completely eliminates the severe systemic friction of traditional customer support models—where scaling enterprises encounter crippling operational overhead, rigid fixed staffing costs, and variable ticket queues that destroy customer satisfaction metrics—by deploying a sophisticated, on-demand customer experience (CX) matrix. Moving far beyond traditional, passive business process outsourcing (BPO) centers or unvetted freelance bulletin networks, Gigmos natively unifies a global network of vetted, highly technical gig experts, an automated multi-stage candidate assessment and ID verification loop, and intelligent AI-powered conversational bots operating in perfect synergy with human agents into a single high-availability hybrid fulfillment platform. Trusted to deliver enterprise-tier tech support workloads for major international software ecosystems (including dedicated diagnostic pipelines for Microsoft O365, Exchange Online, and SharePoint architectures), the infrastructure guarantees massive cost containment via an efficient pay-per-support billing setup. Entirely bootstrapped and operating with independent financial resilience since its commercial launch, the firm scales an agile, highly distributed workforce spanning technical hubs across North America and India. Under the hood, its technology core utilizes advanced machine learning-driven quality monitoring, context-aware ticket-routing algorithms, and secure, remote workstation infrastructure built to preserve strict enterprise data integrity without compromising agent onboarding velocity. What sets Gigmos apart is its uncompromising dedication to replacing fragile, high-overhead contact center operations with absolute workforce elasticity, automated QA predictability, and client resolution velocity; by bridging the gap between performance-intensive conversational computing and live human intelligence, the enterprise remains a definitive cornerstone of modern algorithmic CX management and global customer service transformation.
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