Relationship Manager

Job Title: Business Development Executive (BDE) – IT Sales

Location: Coimbatore, Tamil Nadu

Experience: 3 Years Total (Minimum 1 Year in IT Sales Required)

Employment Type: Full-Time

Job Summary:

We are looking for a motivated and results-driven Business Development Executive with experience in IT Sales to join our team in Coimbatore. The ideal candidate will have a strong understanding of ERP, Cloud Solutions, and SaaS-based products, with the ability to generate leads, build client relationships, and drive business growth.

Key Responsibilities:

• Identify and develop new business opportunities for ERP, Cloud, and SaaS solutions.
• Generate leads through cold calling, networking, social media, and other channels.
• Conduct product presentations and demonstrations to potential clients.
• Understand client requirements and propose suitable IT solutions.
• Collaborate with internal teams to ensure smooth project handover and client satisfaction.
• Meet and exceed monthly and quarterly sales targets.
• Maintain accurate records of sales activities in CRM tools.
• Stay updated on industry trends, competitors, and emerging technologies.

Required Skills & Qualifications:

• Education: Bachelor’s degree in Business, Marketing, IT, or related field.
• Experience: Minimum 3 years overall experience, including 1+ year in IT Sales.
• Strong understanding of ERP, Cloud Computing, and SaaS Sales.
• Excellent communication, negotiation, and presentation skills.
• Proven track record of achieving sales targets in IT solutions.
• Ability to work independently and as part of a team.
• Willingness to travel within the region as required.

Preferred Skills:

• Prior experience selling ERP or Cloud-based software solutions.
• Familiarity with CRM tools (e.g., HubSpot, Zoho CRM, Salesforce).
• Understanding of the local business landscape in Coimbatore and surrounding regions.

Compensation:

• Competitive salary with attractive incentive structure based on performance.

Link to apply - https://tally.so/r/wv0lEA

Key Responsibilities:

1. Software Development:

• Design, implement, and optimise clean, scalable, and reliable code across [backend/frontend/full-stack] systems.
• Contribute to the development of micro services, APIs, or UI components as per the project requirements.

1. System Architecture:

• Collaborate and design and enhance system architecture.
• Analyse and identify opportunities for performance improvements and scalability.

1. Code Reviews and Mentorship:

• Conduct thorough code reviews to ensure code quality, maintainability, and adherence to best practices.
• Mentor and support junior developers, fostering a culture of learning and growth.

1. Agile Collaboration:

• Work within an Agile/Scrum framework, participating in sprint planning, daily stand-ups, and retrospectives.
• Collaborate with Carbon Science, Designer, and other stakeholders to translate requirements into technical solutions.

1. Problem-Solving:

• Investigate, troubleshoot, and resolve complex issues in production and development environments.
• Contribute to incident management and root cause analysis to improve system reliability.

1. Continuous Improvement:

• Stay up-to-date with emerging technologies and industry trends.
• Propose and implement improvements to existing codebases, tools, and development processes.

Qualifications:

Must-Have:

• Experience: 2–5 years of professional software development experience in [specify languages/tools, e.g., Java, Python, JavaScript, etc.].
• Education: Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
• Technical Skills:
• Strong proficiency in [programming languages/frameworks/tools].
• Experience with cloud platforms like AWS, Azure, or GCP.
• Knowledge of version control tools (e.g., Git) and CI/CD pipelines.
• Understanding of data structures, algorithms, and system design principles.

Nice-to-Have:

• Experience with containerisation (e.g., Docker) and orchestration tools (e.g., Kubernetes).
• Knowledge of database technologies (SQL and NoSQL).

Soft Skills:

• Strong analytical and problem-solving skills.
• Excellent written and verbal communication skills.
• Ability to work in a fast-paced environment and manage multiple priorities effectively.

• Needs to generate qualified opportunities within target industry accounts wherein each opportunity should contain:
• Diagnosis of the prospect's business pains, where Unbxd solutions can fit in, understanding of prospects' buying cycle, procurement process, budgets etc. 
• Needs to identify accounts and do extensive prospect territory planning for the given region.
• Also conduct detailed prospect research within focused industry verticals. 
• Ability to develop a 'Why Unbxd, Why Now' proposition for each prospect interaction, identify and follow up on all marketing leads. 
• Support all the industry or solution specific marketing events in the region. 
• Ongoing record keeping and forecasting within Salesforce CRM & make use of prospecting support tools such as LinkedIn, eTailInsights etc.....

ABOUT EPISOURCE:

Episource has devoted more than a decade in building solutions for risk adjustment to measure healthcare outcomes. As one of the leading companies in healthcare, we have helped numerous clients optimize their medical records, data, analytics to enable better documentation of care for patients with chronic diseases.

The backbone of our consistent success has been our obsession with data and technology. At Episource, all of our strategic initiatives start with the question - how can data be “deployed”? Our analytics platforms and datalakes ingest huge quantities of data daily, to help our clients deliver services. We have also built our own machine learning and NLP platform to infuse added productivity and efficiency into our workflow. Combined, these build a foundation of tools and practices used by quantitative staff across the company.

What’s our poison you ask? We work with most of the popular frameworks and technologies like Spark, Airflow, Ansible, Terraform, Docker, ELK. For machine learning and NLP, we are big fans of keras, spacy, scikit-learn, pandas and numpy. AWS and serverless platforms help us stitch these together to stay ahead of the curve.

ABOUT THE ROLE:

We’re looking to hire someone to help scale Machine Learning and NLP efforts at Episource. You’ll work with the team that develops the models powering Episource’s product focused on NLP driven medical coding. Some of the problems include improving our ICD code recommendations, clinical named entity recognition, improving patient health, clinical suspecting and information extraction from clinical notes.

This is a role for highly technical data engineers who combine outstanding oral and written communication skills, and the ability to code up prototypes and productionalize using a large range of tools, algorithms, and languages. Most importantly they need to have the ability to autonomously plan and organize their work assignments based on high-level team goals.

You will be responsible for setting an agenda to develop and ship data-driven architectures that positively impact the business, working with partners across the company including operations and engineering. You will use research results to shape strategy for the company and help build a foundation of tools and practices used by quantitative staff across the company.

During the course of a typical day with our team, expect to work on one or more projects around the following;

1. Create and maintain optimal data pipeline architectures for ML

2. Develop a strong API ecosystem for ML pipelines

3. Building CI/CD pipelines for ML deployments using Github Actions, Travis, Terraform and Ansible

4. Responsible to design and develop distributed, high volume, high-velocity multi-threaded event processing systems

5. Knowledge of software engineering best practices across the development lifecycle, coding standards, code reviews, source management, build processes, testing, and operations  

6. Deploying data pipelines in production using Infrastructure-as-a-Code platforms

7. Designing scalable implementations of the models developed by our Data Science teams  

8. Big data and distributed ML with PySpark on AWS EMR, and more!

BASIC REQUIREMENTS 

1.  Bachelor’s degree or greater in Computer Science, IT or related fields
   
   

2.  Minimum of 5 years of experience in cloud, DevOps, MLOps & data projects
   
   

3. Strong experience with bash scripting, unix environments and building scalable/distributed systems
   
   

4. Experience with automation/configuration management using Ansible, Terraform, or equivalent
   
   

5. Very strong experience with AWS and Python
   
   

6. Experience building CI/CD systems
   
   

7. Experience with containerization technologies like Docker, Kubernetes, ECS, EKS or equivalent

8. Ability to build and manage application and performance monitoring processes

What you need to have: