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Unilog - Knowledge Manager - AI/ML Domain Job Opening In India, India – Now Hiring Unilog


Job description

<p><p><b>About Unilog :</b><br/><br/>Unilog is the only connected product content and eCommerce provider serving the Wholesale Distribution, Manufacturing, and Specialty Retail industries.

</p><p><br/></p><p>Our flagship CX1 Platform is at the center of some of the most successful digital transformations in North America.

CX1 Platforms syndicated product content, integrated eCommerce storefront, and automated PIM tool simplify our customers' path to success in the digital marketplace.<br/><br/>With more than 500 customers, Unilog is uniquely positioned as the leader in eCommerce and product content for Wholesale distribution, manufacturing, and specialty retail.

<br/><b><br/></b></p><p><b>Designation :</b> Knowledge Manager (AI ML)</p><p><br/><b>Location :</b> Bangalore/Mysore/Remote <br/><br/><b>Job Type :</b> Full-time<br/><br/><b>About the Role :</b><br/><br/>We are looking for an experienced Knowledge Manager with strong technical writing skills to create and manage our product knowledge base, FAQs, and AI-driven support content.

</p><p><br/></p><p>This role will directly contribute to the success of our AI agentic L1 support systems, enabling up to 60% case resolution through automation and self-service.

</p><p><br/></p><p>The ideal candidate will combine the structured communication skills of a technical writer with the strategic mindset of a knowledge leader.<br/><br/><b>Key Responsibilities :</b><br/><br/>- Knowledge Base & Documentation : Create, structure, and maintain product documentation, FAQs, and process guides in a clear, concise, and user-friendly manner.<br/><br/>- Technical Writing Excellence : Translate complex technical concepts into simple, customer-friendly explanations, ensuring accessibility for both technical and non-technical users.<br/><br/>- AI Agent Enablement : Fine-tune AI-driven responses and optimize Freshworks AI (Freddy AI) capabilities to improve automated L1 resolution rates.<br/><br/>- Content Governance : Define content standards, editorial style guides, and workflows to ensure accuracy, consistency, and version control.<br/><br/>- Customer Query Analysis : Analyze recurring support queries, identify content gaps, and refine knowledge assets for better case deflection.<br/><br/>- Collaboration : Work closely with product managers, engineers, and customer support teams to ensure documentation reflects the latest updates.<br/><br/>- Performance Tracking : Monitor knowledge base usage, AI agent success metrics, and customer self-service adoption.<br/><br/><b>Required Qualifications :</b><br/><br/>- 5 to 7 years of experience in knowledge management, technical writing, or product support documentation.<br/><br/>- Proven ability to write, edit, and organize technical content for diverse audiences.<br/><br/>- Strong working knowledge of Freshworks AI (Freddy AI, bots, automation) or similar AI-driven CX platforms.<br/><br/>- Familiarity with information architecture, content structuring, and taxonomy design.<br/><br/>- Analytical ability to derive insights from customer queries and translate them into clear, actionable documentation.<br/><br/>- Excellent written and verbal communication with meticulous attention to detail.<br/><br/><b>Preferred Qualifications :</b><br/><br/>- Experience in technical writing tools (Confluence, Notion, or similar).<br/><br/>- Exposure to agentic AI workflows and conversational AI content optimization.<br/><br/>- Familiarity with multilingual documentation and global content delivery.<br/><br/>- Background in SaaS, product-based, or technology-driven organizations.<br/><br/><b>Why Join Us ?</b> <br/><br/>- Be at the forefront of AI-powered customer experience and documentation strategy.<br/><br/>- Directly impact support efficiency, customer satisfaction, and self-service adoption.<br/><br/>- Work in a collaborative, innovative, and growth-focused environment.<br/><br/>- Competitive compensation, benefits, and a culture of continuous learning.<br/><br/><b>About our Benefits :</b><br/><br/>Unilog offers a competitive total rewards package including competitive salary, multiple medical, dental, and vision plans to meet all our employees needs, career development, advancement opportunities, annual merit, a generous time-off policy, and a flexible work environment.<br/><br/>Unilog is committed to building the best team and we are committed to fair hiring practices where we hire people for their potential and advocate for diversity, equity, and inclusion.

</p><p><br/></p><p>As such, we do not discriminate or make decisions based on your race, color, religion, creed, ancestry, sex, national origin, age, disability, familial status, marital status, military status, veteran status, sexual orientation, gender identity, or expression, or any other protected class.</p><br/></p> (ref:hirist.tech)

Required Skill Profession

Operations Specialties Managers


  • Job Details

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Unlock Your Unilog Knowledge Potential: Insight & Career Growth Guide


Real-time Unilog Knowledge Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Unilog Knowledge in India, India, highlighting market share and opportunities for professionals in Unilog Knowledge roles.

988 Jobs in India
988
82 Jobs in India
82
Download Unilog Knowledge Jobs Trends in India and India

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Unilog adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

What Is the Average Salary Range for Unilog Knowledge Manager AI/ML Domain Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in India. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Unilog Knowledge Manager AI/ML Domain?

Key qualifications for Unilog Knowledge Manager AI/ML Domain typically include Operations Specialties Managers and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Unilog Knowledge Manager AI/ML Domain Job Success

Unilog interview tips for Unilog   Knowledge Manager   AI/ML Domain

Here are some tips to help you prepare for and ace your Unilog Knowledge Manager AI/ML Domain job interview:

Before the Interview:

Research: Learn about the Unilog's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

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Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Be Yourself: Let your personality shine through while maintaining professionalism.

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Final Thought:

To prepare for your Unilog Knowledge Manager AI/ML Domain interview at Unilog, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Unilog's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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