Example Company
Software engineer
- Location
- San Francisco
- Type
- Full time
- Compensation
- $150k-$200k
- Posted
- 2 days ago
Join a team building useful software. Work closely with engineering and design to turn new ideas into products.
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Customer Support Manager
- Location
- Bengaluru
- Type
- Full time
- Posted
- 1D AGO
About the role
Role Preview :
Role – Customer Support Operations
Locations: Bangalore
Employment Type: Full-time
Department: Customer Support
Position Overview:
We are seeking an experienced, analytical, and execution-focused Customer Support Operations incumbent to lead and scale our customer service operations. In this role, you will be responsible for driving operational excellence, managing large-scale service delivery across healthcare verticals (Tele-consults, AHC, Medicine, Claims, Labs, etc.), maintaining stringent SLA/FCR benchmarks, driving AI-led customer support automation (Chatbot & Voicebot), and elevating overall customer satisfaction (CSAT/NPS).
You will lead cross-functional teams, manage vendor/partner ecosystems, and optimize day-to-day operations to ensure high-quality, tech-enabled service across all omnichannel support touchpoints.
Key Responsibilities:
1. Operations Management & Service Delivery -
Lead day-to-day customer support operations to ensure seamless handling of customer inquiries, escalations, and grievances across phone, chat, email, and ticketing channels.
Drive key operational metrics including First Contact Resolution (FCR), AHT, AWT, CSAT/NPS, and SLA compliance across all service lines.
Monitor service-level performance and analyze underlying root causes for Non-FCR (NFCR) cases to implement permanent process fixes.
2. Team Leadership & People Management -
Lead, mentor, and build high-performing teams of assistant managers, team leads, and support specialists across shifts.
Drive operational efficiency, workload management, continuous training, and career progression frameworks for the team.
Foster a customer-first culture focused on empathy, quality resolution, and rapid escalation turnaround.
3. Process Optimization, QA & Automation -
Partner with Product, Engineering, and Analytics teams to identify process bottlenecks, automate repetitive customer workflows, and retrain NLU models based on emerging query patterns.
Leverage customer support tools, ticketing systems, and AI/bot capabilities to drive self-serve resolutions and reduce overall call volumes.
Implement robust Quality Assurance (QA) and audit frameworks to ensure high compliance with medical standards, conversational AI quality, and operational SLAs.
4. Vendor & Partner Ecosystem Management -
Manage third-party call center vendors (BPOs) and partner networks to maintain capacity planning, workforce management (WFM), and quality standards.
Conduct weekly and monthly business reviews (WBR/MBR) with internal stakeholders and external partners.
5. Stakeholder Collaboration & Escalation Management -
Act as the primary point of escalation for critical operational issues across corporate clients, retail users, and service providers (Hospitals, Labs, Pharmacies).
Collaborate closely with Account Management, Corporate Sales, Medical Operations, and Claims teams to resolve complex customer issues.
6. AI Chatbot & Voicebot Strategy & Optimization -
Drive AI Automation & Self-Service: Oversee and scale the operational performance of MediBuddy’s Conversational AI platforms, including Chatbots (e.g., MIA) and Voicebots.
Improve Bot Containment: Analyze interaction logs, drop-off points, and intent failures to maximize automated query containment (aiming for 30%+ containment) and minimize unnecessary live-agent transfers.
Voicebot Operations: Operationalize natural language AI Voicebots for automated inbound status tracking (Medicine delivery, Lab booking confirmation, AHC reminders) and outbound customer follow-ups.
Bot-to-Human Escalation & Agent Assist: Design seamless fallback and transfer protocols from AI bots to live support executives, and deploy GenAI / Agent-Assist tools to provide agents with automated chat summaries and suggested responses.
Qualification:
Education
Education: Bachelor’s degree in Business Administration, Operations, Healthcare Management, or related fields (MBA preferred).
Experience: 8-12 years of core operational experience in Customer Support / Customer Operations, with at least 3-5 years in a managerial leadership role.
Industry & Automation Background: Prior experience in HealthTech, FinTech, E-commerce, Hyperlocal Services, or large-scale BPO setups managing high-volume operations with exposure to AI Chatbot, Voicebot, or IVR automation frameworks.
Data-Driven Approach: Strong proficiency in data analysis (Excel/Google Sheets, SQL, BI dashboards) to track trends, calculate weightages, and build operational reports.
Tool Proficiency: Hands-on experience with modern CRM platforms (Salesforce, Freshdesk, Zendesk, Genesys, Ameyo) and conversational AI/bot engine workflows (Yellow.ai, Gupshup, or custom LLM platforms).
Communication & Leadership: Exceptional written and verbal communication skills; proven track record of managing multi-tiered teams (50+ headcount).
Location-Specific Mandates
Indore Opening (1 Position): Should be open to travel to Bangalore Head office as per regular business reviews
Bangalore Opening (1 Position): Should be open to travel to Indore branch office for regular business reviews and team handling
What We Offer
● Opportunity to lead critical, tech-driven operations at India's leading digital healthcare company.
● High-impact leadership role with autonomy to drive key operational and AI automation decisions.
● Competitive compensation package and health/wellness benefits.
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