Account Executive Sales

Key Responsibilities:

1. Understanding the brand that is being represented, the TLC brand, the Program, the benefits, the scripts, the possible talking and opening lines and ensuring that the company guidelines on these are followed when a customer connect is made to enroll them into a membership program.

2. A soft approach to the sales process with conversational scripts and engagement on the call to sign up a customer. To protect the brand and ensure that a positive impact is left on the prospect after the interaction, whether he / she buys a membership or not.

3. Program Benefits must be conveyed in complete transparency leaving no scope of ambiguity or sounding / making false promises or over commitment.

4. Ensure that the prospect is not called for more than 3 times and also, he / she is not spammed on the calls. A prospect who does not want to be spoken to should be blocked from the system.

5. Ensure a database is provided by the company and only approved databases after proper DNC scrubbing are used.

6. It is mandatory to ensure that on every point of connect generating relevant leads are required, this is a part of our database expansion exercise, and must be followed.

7. Ensuing all relevant information is captured and converted into company intelligence like reasons for close etc and the prospects once spoken to are accordingly blocked from the system so that they are not called again.

8. Ensure any escalation or potential escalation is immediately reported to the Manager.

9. Ensure company time spent in the office is spent on productive customer acquisition work and aim for high enrolments, conversions, and no complaints as a performance matrix.

10. Ensuring confidentiality of all company information is maintained at all times.

Required Skills Set:

1. Minimum two years’ experience in a high-quality outbound voice process.

2. Good verbal and social communication skills in English with supporting local language. English will always be the first language for opening a customer conversation.

3. Proactive, confident, and self-motivated.

4. Performance oriented with a passion for sales and numbers.

You will be working hands-on on a complex and compound product that has the potential to be used by millions of sales and marketing people around the world. Your contribution to delivering an excellent product platform that:

• enables quick iteration
• supports product customization
• and handles scale

What do we expect you to have?

• 2+ years of experience in backend engineering
• An intent to learn and an urge to build a product by learning different technologies
• Interest in writing complex, scalable, and maintainable backend applications
• Tech stack requirements:

Must haves

• Experience in building application server in Java (Spring / Spring boot) / NodeJS / Golang / Python
• Experience in using SQL databases and designing schemas based on application need
• Experience with container services and runtimes (docker / docker-compose / k8s)
• Experience with cloud paas (AWS / GCP / Azure cloud)
• Experience and familiarity with microservices’ concepts
• Experience with bash scripting

Good to have (Preferred)

• Preferred experience with org wide message queue (rabbitmq / aws sqs)
• Preferred experience with task orchestration services (apache airflow / aws step function)
• Preferred experience with infra as code (or system configuration) tools (terraform / chef / ansible)
• Preferred experience with build essential tools (make / makefile)
• Preferred experience with monitoring and tracing systems for performance / system / application monitoring (grafana + loki + prometheus / aws cloudwatch)

What will you learn?

• Building highly available, complex, compound, performant systems of microservices platform that acts as an API layer
• Industry-standard state-of-the-art tools + methodologies + frameworks + infra for building a product.
• Fable is not a trivial CRUD app. It requires a lot of consideration and care for building the API layer as the product is highly customizable per user.
• How different functions (sales, marketing, product, engineering) in a high-velocity product company work in synergy to deliver an iterative product in real life.

Who would you be working with?

• You would be directly working with the co-founder & CTO who has built multiple companies before and has built large teams in large-scale companies like ThoughtSpot, Unacademy, etc.

Position details

• Fully remote.
• 5 days/week (all public and government holidays will be non-working days).
• No specific work hours (we will sync over zoom over the course of the day).

• Knowledge of CORE PHP & web framework including Laravel.
• Knowledge of front-end technologies including CSS3, JavaScript, and HTML5.
• Understanding of object-oriented PHP programming.
• Experience with API integration.
• Previous experience creating scalable applications.
• Proficient with code versioning tools including Git, Mercurial, CVS, and SVN.
• Familiarity with SQL/NoSQL databases.
• Building the infrastructure for serving the front-end app and assets.
• Working on full projects of App or website development, from scratch to finish.

Should be highly Technical and hands-on experience in Artificial Intelligence and Machine learning and Python. Managing the successful delivery of projects by efficient planning and coordination.

KEY RESPONSIBILITIES OF THE POSITION :

• Create Technical Design for AI, Machine Learning, Deep Learning, NLP, NLU, NLG projects and implement the same in production.
• Solid understanding and experience of deep learning architectures and algorithms
• Working experience with AWS, most importantly AWS SageMaker, Aurora or MongoDB, Analytics and reporting.
• Experience solving problems in the industry using deep learning methods such as recurrent neural networks (RNN, LSTM), convolutional neural nets, auto-encoders, etc.
• Should have experience of 2-3 production implementations of machine learning projects.
• Knowledge of open-source libraries such as Keras, Tensor Flow, Pytorch
• Work with business analysts/consultants and other necessary teams to create a strong solution
• Should have in-depth understanding and experience of Data Science and Machine Learning projects using Python, R, etc. Skills in Java/C are a plus
• Should developing solutions using python in AI/ML projects
• Should be able to train and build a team of technical developers
• Desired to have experience as leads in designing and developing applications/tools using Microsoft technologies - ASP.Net, C#, HTML5, MVC
• Desired to have knowledge on any of the cloud solutions such as Azure or AWS
• Desired to have knowledge on any of container technology such as Docker
• Should be able to build strong relationships with project stakeholders

Keywords:

• Python
• Artificial Intelligence
• Machine Learning
• AWS
• Django
• NLP