
Technical Support Manager - Hadoop Observability & Open Data Platform
acceldata
Posted 2026-05-27
BPO & Shared Services
Job Description
Ovii's Interpretation of the Role
Acceldata seeks a Technical Support Manager to lead a global, 24/7 support team focused on Hadoop‑based data platforms. The role blends people leadership, AI‑augmented troubleshooting, and cross‑functional collaboration to drive customer satisfaction and product adoption.
Role Snapshot
- Technical Support Manager
- Leads support engineers
- AI‑driven support workflows
- Global 24/7 operations
- Customer‑first mindset
Must-Have Requirements
- Technical support management
- Service management
- Ticketing systems
- AI‑driven support workflow experience
- Strong analytical/problem‑solving
- Effective communication
- technical support management
- service management
- people leadership
- Bachelor's or Master's degree in Computer Science or related discipline
Nice-to-Have Signals
- Kubernetes
- Spark
- SQL
Work Setup
- Location: Bengaluru, India
- Work mode: ONSITE
- Timezone: Night shift 11:00 PM – 7:00 AM IST
- Employment type: Full-Time
- Shift: Night shift (11 PM – 7 AM IST)
Not Specified in JD
- Salary range
- Visa sponsorship
- Remote eligibility
What You'll Likely Work On
- Lead and develop a globally distributed support team operating 24/7/365.
- Integrate AI‑assisted insights into case reviews, coaching, and knowledge authoring.
- Own end‑to‑end incident handling, ensuring high‑quality, accurate resolutions.
- Collaborate with Product, Engineering, Sales, and Professional Services to influence roadmap and tooling.
- Drive operational excellence through KPI monitoring, AI‑enabled process improvements, and responsible AI governance.
- Manage talent lifecycle: hiring, onboarding, performance evaluation, and career pathing.
Good Fit If You Have
- Proven track record in large SaaS support environments.
- Experience leading teams that adopt AI tools for triage and case management.
- Strong stakeholder management and cross‑functional collaboration skills.
Skills
- Technical support management
- Service management
- Ticketing systems
- AI‑driven support tools
- Data platform & Hadoop
- Kubernetes (preferred)
- Spark (preferred)
- SQL (preferred)