Customer Service Associate Fresher Job

Customer Service Associate

Delhi

Start date
Starts Immediately
CTC (ANNUAL)
₹ 3,60,000 ₹ 3,60,000 /year
Experience
0-1 years
0-1 years experience
Apply By
18 Nov' 24
Posted just now
Fresher Job

About the job

We are looking for full-time analysts who would closely work with the product & customer success teams at Fundamento to contribute to the development, audit, and testing of bot workflows for our bot Yara.

Key responsibilities:

1. Bot workflow development: Write workflows which are conversation scripts for the bot in Hindi & English. (To simplify the task, we will train you on how to use platforms like ChatGPT.)
2. Auditing and quality assurance: Conduct thorough audits of the workflows to ensure accuracy and functionality.
3. Testing and optimization: Assist in testing bot workflows across different platforms and devices to identify and resolve any issues or bugs. Continuously optimize workflows based on user feedback and performance metrics.
4. Documentation and reporting: Document any comments, improvements, or errors and report the same.

Skill(s) required

Effective Communication English Proficiency (Spoken) English Proficiency (Written)

Other requirements

1. Pursuing or recently completed a degree in any field.

2. Attention to detail.

3. Ability to work independently and collaboratively in a fast-paced environment.

4. Decent written and verbal communication skills.

5. Enthusiasm for learning.

Salary

Annual CTC: ₹ 3,60,000 /year

Perks

5 days a week

Number of openings

2

About Fundamento

Fundamento unlocks excellent agent performance with an AI-powered frontline stack that is purpose-built for companies looking to demonstrate unmatched business outcomes. Companies can ensure agents ace every customer conversation by using Fundamento as an agent copilot to handhold them through customer interactions with guided workflows and prompts and to automate manual and repetitive tasks. Using Fundamento, companies can gradually transition from to complete L1 and L2 customer support automation, where agents can focus on tackling complex challenges while near-human AI bots handle upstream customer interactions.
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