Manager, Knowledge Management & Conversational AI

BETSOL; Bengaluru; On-site; INR 16,740,000 - 22,320,000; Full time

Benefits offered by this job

Health insurance

401K

Volunteer programs

Scholarship opportunities

Fitness center

Cafe

Recreational facilities

Job summary

BETSOL is seeking a Manager, Knowledge Management & Conversational AI who will report to the Director, Application Development & Quality Assurance to lead the strategy, optimization, governance, and performance of our digital self-service and virtual assistant platforms.

This role will be responsible for improving self-service adoption, chatbot effectiveness, support deflection, knowledge management practices, content quality, and customer experience across support channels.

Qualifications

• 8+ years of experience in Knowledge Management, Customer Experience, or related fields.
• Experience managing enterprise knowledge bases or self-service platforms.
• Strong analytical and problem-solving capabilities.
• Excellent written and verbal English communication skills.

Responsibilities

• Own the performance and continuous improvement of enterprise chatbot and virtual assistant platforms.
• Analyze conversation trends, user behavior, abandonment patterns, and support drivers.
• Improve chatbot containment and deflection rates.
• Identify opportunities to automate common support scenarios.
• Drive conversational design improvements and user journey optimization.
• Evaluate emerging AI capabilities to improve self-service effectiveness.
• Develop chatbot governance standards, operating procedures, and success metrics.
• Partner with Technical Support, Partner Support, Operations, Product, Engineering, and Business teams.
• Define and track KPIs: Deflection, Containment, Search Success, User Satisfaction, Self-Service Adoption.

Job description

Manager, Knowledge Management & Conversational AI

• Full-time
• Compensation: INR 1,500,000 - INR 2,000,000 - monthly

BETSOL is a cloud-first digital transformation and data management company offering products and IT services to enterprises in over 40 countries. BETSOL team holds several engineering patents, is recognized with industry awards, and BETSOL maintains a net promoter score that is 2x the industry average.

BETSOL’s open source backup and recovery product line, Zmanda (Zmanda.com), delivers up to 50% savings in total cost of ownership (TCO) and best-in-class performance.

BETSOL Global IT Services (BETSOL.com) builds and supports end-to-end enterprise solutions, reducing time-to-market for its customers.

BETSOL offices are set against the vibrant backdrops of Broomfield, Colorado and Bangalore, India.

We take pride in being an employee-centric organization, offering comprehensive health insurance, competitive salaries, 401K, volunteer programs, and scholarship opportunities. Office amenities include a fitness center, cafe, and recreational facilities.

Learn more at betsol.com

Position Summary

We are seeking a Manager, Knowledge Management & Conversational AI who will report to the Director, Application Development & Quality Assurance to lead the strategy, optimization, governance, and performance of our digital self-service and virtual assistant platforms.

This role will be responsible for improving self-service adoption, chatbot effectiveness, support deflection, knowledge management practices, content quality, and customer experience across support channels. The successful candidate will serve as the business owner for conversational AI and knowledge management initiatives while partnering closely with technical teams responsible for platform administration and integrations.

The ideal candidate combines expertise in knowledge management, digital customer experience, chatbot optimization, analytics, content strategy, and stakeholder management. This individual will drive continuous improvement initiatives that reduce support effort, improve user satisfaction, and maximize return on investment from self-service technologies.

Key Responsibilities

Own the performance and continuous improvement of enterprise chatbot and virtual assistant platforms.

Analyse conversation trends, user behaviour, abandonment patterns, and support drivers.

Improve chatbot containment and support deflection rates.

Identify opportunities to automate common support scenarios.

Drive conversational design improvements and user journey optimization.

Evaluate emerging AI and Copilot capabilities to improve self-service effectiveness.

Develop chatbot governance standards, operating procedures, and success metrics.

Knowledge Management

Own the enterprise knowledge management strategy for self-service and support experiences.

Develop and maintain content governance standards.

Lead knowledge article creation, review, retirement, and lifecycle management activities.

Ensure content remains accurate, relevant, searchable, and user-friendly.

Establish taxonomy, tagging, and knowledge architecture standards.

Partner with business teams to identify knowledge gaps and improvement opportunities.

Analytics & Performance Management

Define and track key performance indicators, including:

Deflection Rate

Containment Rate

Search Success Rate

User Satisfaction

Self-Service Adoption

Develop executive reporting and dashboards.

Present performance insights and recommendations to leadership.

Establish data-driven continuous improvement processes.

Stakeholder Management

Partner with Technical Support, Partner Support, Operations, Product, Engineering, and Business teams.

Facilitate regular content review and optimization sessions.

Work with vendors, consultants, and platform providers to improve platform performance.

Build strong relationships across global business functions.

Serve as the primary business contact for chatbot effectiveness and knowledge management initiatives.

Partner with technical teams on chatbot implementations, enhancements, and upgrades.

Support platform evaluations and future-state technology recommendations.

Participate in vendor management and roadmap discussions.

Ensure business requirements are translated into optimization initiatives.

Required Experience

8+ years of experience in one or more of the following:

Knowledge Management

Customer Experience

Customer Support Operations

Digital Self-Service

Conversational AI

Chatbot Management

Service Management

Experience managing enterprise knowledge bases or self-service platforms.

Strong analytical and problem-solving capabilities.

Excellent written and verbal English communication skills.

Experience building executive presentations, dashboards, and performance reports.

Proven ability to influence stakeholders across technical and non-technical teams.

Strong content creation, editing, and information architecture skills.

Preferred Skills

Experience with one or more of the following platforms:

Salesforce Service Cloud

ServiceNow

Intercom

Power Virtual Agents

Drift

Kore.ai

Amelia

LivePerson

Yellow.ai

Other conversational AI platforms

Knowledge of:

Conversational Design

Customer Support Operations

AI-assisted Content Management

Digital Customer Experience

Search Optimization

Contact Center Metrics

Critical Success Factors

The successful candidate will:

Improve chatbot deflection and containment performance.

Reduce support volume through better self-service experiences.

Increase knowledge article effectiveness and utilization.

Establish sustainable knowledge management governance.

Improve chatbot content quality and user experience.

Deliver measurable business outcomes through optimization initiatives.

Successfully support future platform migrations and technology evaluations.

Ideal Candidate Profile

We are looking for a candidate who has previously served in roles such as:

Knowledge Management Manager

Knowledge Program Manager

Conversational AI Manager

Chatbot Product Owner

Digital Self-Service Manager

Customer Experience Manager

Service Operations Manager

AI Enablement Manager

Bachelor's Degree in Business, Information Systems, Communications, Customer Experience, Technical Writing, or related field.

It is a full-time role requiring a min of 8 hours per day with 4 hours of overlap with US hours