4+ Knowledge base Jobs in India

ROLES AND RESPONSIBILITIES:

As the G1 Head of Technical Support, you will be the central force ensuring an exceptional post-go-live technical experience across the company suite. You’ll oversee L3 support operations across all products, manage customer escalations, drive cross-team resolution, and build processes for visibility, accountability, and continuous improvement. This is a cross-functional, high-impact leadership role, working across engineering, QA, DevOps, customer support, and product teams to ensure that every issue is tracked, resolved, and learned from—within SLA and with a customer-first mindset.

YOU WILL-

Incident & Ticket Management:

• Own end-to-end L3 technical support governance across company products (ERP, POS,OMS, etc.)
• Ensure customer issues are responded to and resolved within defined SLAs
• Drive prioritization, root cause resolution, and engineering coordination across product teams
• Personally manage and de-escalate high-severity issues with customers and internal teams

Process & Metrics Ownership:

• Define, track, and optimize support processes, SLAs, escalation workflows, and ticket lifecycle practices
• Build dashboards for SLA adherence, issue aging, bug trends, defect density, etc.
• Establish strong feedback loops to engineering/product based on recurring issues

RCA & Knowledge Management:

• Ensure timely Root Cause Analysis (RCAs) for all S1/S2 issues with actionable insights
• Lead trend analysis to preempt issues and recommend long-term fixes or product hardening
• Build and maintain a knowledge base to improve internal resolution efficiency

Customer Interaction:

• Engage with enterprise customers on complex or long-running tickets
• Serve as a trusted escalation point for strategic clients
• Collaborate with Customer Success and Implementation teams for seamless client experience

Collaboration & Leadership:

• Coordinate with Product Architects and Engineering Heads to ensure ticket resolution
• Build and mentor a lean L3 support team or tiger squads when required
• Drive a culture of accountability, learning, and proactiveness in technical support

IDEAL CANDIDATE:

• 11+ years of experience in technical support or L3 support leadership roles in SaaS or high- scale enterprise products
• Strong experience handling customer escalations, RCAs, and cross-team ticket resolution
• Solid technical background (understanding of APIs, microservices, database queries, logs, debugging)
• Expertise in support tooling: Freshdesk, Jira, ServiceNow, etc.
• Excellent communication skills—able to speak fluently with both customers and engineers
• Data-driven mindset for reporting, insights, and stakeholder updates
• Experience working in retail tech, ERP, or platform businesses is a big plus

PERKS, BENEFITS AND WORK CULTURE:

• Comprehensive health insurance coverage.
• Excellent rewards and recognition policy.
• Transparent compensation policy with no unnecessary deduction in CTC.
• Annual company off-site and a variety of events, celebrations throughout the year.
• Travelling opportunities between our offices across the country.
• Annual company walkathon & related sporting events.
• Quarterly Coffee with CEO.

MUST-HAVES:

• LLM, AI, Prompt Engineering LLM Integration & Prompt Engineering
• Context & Knowledge Base Design.
• Context & Knowledge Base Design.
• Experience running LLM evals

NOTICE PERIOD: Immediate – 30 Days

SKILLS: LLM, AI, PROMPT ENGINEERING

NICE TO HAVES:

Data Literacy & Modelling Awareness Familiarity with Databricks, AWS, and ChatGPT Environments

ROLE PROFICIENCY:

Role Scope / Deliverables:

• Scope of Role Serve as the link between business intelligence, data engineering, and AI application teams, ensuring the Large Language Model (LLM) interacts effectively with the modeled dataset.
• Define and curate the context and knowledge base that enables GPT to provide accurate, relevant, and compliant business insights.
• Collaborate with Data Analysts and System SMEs to identify, structure, and tag data elements that feed the LLM environment.
• Design, test, and refine prompt strategies and context frameworks that align GPT outputs with business objectives.
• Conduct evaluation and performance testing (evals) to validate LLM responses for accuracy, completeness, and relevance.
• Partner with IT and governance stakeholders to ensure secure, ethical, and controlled AI behavior within enterprise boundaries.

KEY DELIVERABLES:

• LLM Interaction Design Framework: Documentation of how GPT connects to the modeled dataset, including context injection, prompt templates, and retrieval logic.
• Knowledge Base Configuration: Curated and structured domain knowledge to enable precise and useful GPT responses (e.g., commercial definitions, data context, business rules).
• Evaluation Scripts & Test Results: Defined eval sets, scoring criteria, and output analysis to measure GPT accuracy and quality over time.
• Prompt Library & Usage Guidelines: Standardized prompts and design patterns to ensure consistent business interactions and outcomes.
• AI Performance Dashboard / Reporting: Visualizations or reports summarizing GPT response quality, usage trends, and continuous improvement metrics.
• Governance & Compliance Documentation: Inputs to data security, bias prevention, and responsible AI practices in collaboration with IT and compliance teams.

KEY SKILLS:

Technical & Analytical Skills:

• LLM Integration & Prompt Engineering – Understanding of how GPT models interact with structured and unstructured data to generate business-relevant insights.
• Context & Knowledge Base Design – Skilled in curating, structuring, and managing contextual data to optimize GPT accuracy and reliability.
• Evaluation & Testing Methods – Experience running LLM evals, defining scoring criteria, and assessing model quality across use cases.
• Data Literacy & Modeling Awareness – Familiar with relational and analytical data models to ensure alignment between data structures and AI responses.
• Familiarity with Databricks, AWS, and ChatGPT Environments – Capable of working in cloud-based analytics and AI environments for development, testing, and deployment.
• Scripting & Query Skills (e.g., SQL, Python) – Ability to extract, transform, and validate data for model training and evaluation workflows.
• Business & Collaboration Skills Cross-Functional Collaboration – Works effectively with business, data, and IT teams to align GPT capabilities with business objectives.
• Analytical Thinking & Problem Solving – Evaluates LLM outputs critically, identifies improvement opportunities, and translates findings into actionable refinements.
• Commercial Context Awareness – Understands how sales and marketing intelligence data should be represented and leveraged by GPT.
• Governance & Responsible AI Mindset – Applies enterprise AI standards for data security, privacy, and ethical use.
• Communication & Documentation – Clearly articulates AI logic, context structures, and testing results for both technical and non-technical audiences.

It is an all-in-one e-commerce logistics platform using modern software to provide

fast and affordable fulfillment. Brands of all sizes use our full-service solution to

store inventory at warehouses near their customers and ship orders with the company carrier

network to improve transit times and shipping costs. Our deep integration with sales

channels enables brands to earn prime-like badges to accelerate their sales.

We are looking forward to onboard a committed Technical Writer who is motivated enough

to combine his analytical, communication and managerial skills in order to administer our

support and customers in the best possible manner.

Managing a team of support agents, providing training, monitoring, and mentoring as needed.

Developing and implementing policies and procedures related to support operations.

Collaborating with other members of different departments to identify and resolve escalated

issues.

Ensuring that support agents have the necessary tools and resources to do their jobs effectively.

Maintaining and reporting on key performance indicators (KPIs) related to support operations.

Developing and delivering training programs to improve the skills of the support team.

Continuously review and analyze business processes to identify areas of improvement and

develop strategies to enhance support performance.

Identifying and implementing process improvements to increase efficiency and customer

satisfaction.

Identifying and documenting business processes

Writing documents like help articles, SOPs, and other materials that explain complex technical

concepts in an easy-to-understand way.

Work with the subject matter experts to gather information about the products or processes

that they are documenting.

Editing and revising documents that have already been written by other team members or

subject matter experts to ensure accuracy and consistency.

Work closely with other teams to gather information, review documentation, and ensure that

the documentation meets the needs of the audience.

Managing the entire documentation process, from planning and research to writing and

publishing.

Responsible for ensuring that documentation is up-to-date and easily accessible to end-users.

Very good verbal and written communication

Good knowledge of grammar and sentence formation

Engineering background shall be preferred

Any prior experience in a similar role or in any e-commerce fulfillment domain/ return related

operations would be a plus point

It is an amalgamation of enthusiastic and genius people working on a remarkable

concept, making headway in this industry. It would not only provide you a scope for

professional and personal growth but would also provide you a lot of avenues to experiment

with and expertise in your skills.