Regional Sales Manager

Strong sales executive profile

Mandatory (Experience 1): Must have 7+ years of hands-on B2B sales experience, preferably selling SaaS products or platforms

Mandatory (Experience 2): Must have experience in doing end to end Hunting / New Business Acquisition, including prospecting, pitching, negotiation, and deal closure

Mandatory (Experience 3): Must have experience of managing the complete sales cycle independently — research, outreach, client meetings, solution pitching, proposal handling, and closing.

Mandatory (Experience 4): Strong communication, presentation, negotiation, and objection-handling skills with experience engaging with mid to senior-level stakeholders

Mandatory (Experience 5): Experience in pipeline building & CRM usage, maintaining accurate forecasts, sales funnel tracking, and performance reporting.

Mandatory (Company): B2B SaaS Product companies

Roles and Responsibilities:

As a Sales Executive, you will play a vital role in helping students achieve their goals by introducing them to our services and guiding them through the study-abroad process.

Client Acquisition:

• Identify and engage potential students interested in studying abroad, promoting its services to meet their educational needs.

Counselling and Consultation:

• Understand the academic goals and preferences of students.
• Explain suitable study packages, scholarship opportunities, and coaching options.

Sales and Enrollment:

• Promote and sell study-abroad packages to students and their families.
• Achieve monthly sales targets through effective engagement and follow ups.

Relationship Management:

• Build and maintain strong relationships with students and their families.
• Provide timely updates and assistance throughout the application process

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Market Insights:

• Keep up to date with the latest trends in study-abroad programs and scholarships.
• Provide feedback on market demands to improve offerings.

Reporting and Coordination:

• Prepare and submit daily/weekly reports on sales and student inquiries.
• Collaborate with the operations and marketing teams to enhance sales strategies.

Qualifications: 

• Education: Bachelor's degree 
• Minimum 1.5 year of experience in sales
• Skills: - Excellent verbal and written communication in English. - Proficient in using MS Office (Excel, Word, PowerPoint). - Strong interpersonal and negotiation skills.
• Attributes: - Highly motivated and eager to learn. - Positive attitude with a customer-centric approach. - Ability to work independently and collaboratively.

Benefits:

• Competitive salary package with incentives.
• Incentive on every sale, Quarterly and Yearly Incentives. 
• Hands-on training and mentorship to develop sales and counselling skills.
• Opportunity to work with a dynamic team in a rapidly growing industry.
• Career growth opportunities within the organization.

Description

Job Summary

We are seeking a visionary Senior AI Engineer with a minimum of 3+ years of experience to lead the development of an advanced AI system leveraging CrewAI and LangChain tools to build intelligent, collaborative multi-agent systems for the logistics domain. The role includes designing AI agents capable of handling complex tasks, optimizing workflows, and conducting A/B and beta testing to ensure robust, scalable performance under diverse conditions. This is an opportunity to shape cutting-edge AI systems and revolutionize logistics operations.

Responsibilities:

1. Design & Architecture:

 Architect and implement a multi-agent AI system using CrewAI for task collaboration, communication, and real-time logistics optimization.

 Integrate LangChain tools for natural language understanding, contextual reasoning, and knowledge retrieval.

 Ensure the system is designed to allow comprehensive testing, iteration, and improvement.

2. AI Agent Development:

 Develop autonomous agents capable of dynamic decision-making, task delegation, and seamless inter-agent communication.

 Use LangChain to enhance agent capabilities, such as reasoning over unstructured data and interfacing with external knowledge bases.

3. A/B Testing & Experimentation:

 Design and execute A/B tests to compare AI agent strategies, workflows, and decision-making models under varying scenarios.

 Develop and implement metrics for evaluating system performance (e.g., latency, accuracy, scalability).

 Use experimentation frameworks to test hypotheses and gather insights on system improvements.

4. Beta Testing & Real-World Simulation:

 Set up controlled beta testing environments that mimic real-world logistics operations.

 Simulate edge cases, bottlenecks, and high-load scenarios to ensure system robustness and scalability.

 Gather feedback from beta users and iterate on the system to address discovered issues.

5. Progress Demonstration:

 Develop dashboards and visualizations to showcase key performance indicators (KPIs) and test results.

 Implement tools to log and track agent interactions, decision outcomes, and error rates in real-time.

 Regularly present progress to stakeholders, highlighting improvements and areas for refinement.

6. Optimization & Scalability:

 Optimize multi-agent interactions and resource allocation for real-world logistics challenges.

 Ensure the system scales seamlessly for complex operations involving high volumes of agents and data.

7. Integration:

 Seamlessly integrate the multi-agent system with logistics platforms, such as Transportation Management Systems (TMS) and Warehouse Management Systems (WMS).

 Use LangChain tools to connect agents to APIs, external knowledge graphs, and live data streams.

8. Collaboration & Leadership:

 Lead a team of engineers in developing advanced AI solutions, mentoring them on testing frameworks and innovative technologies like CrewAI and LangChain.

 Collaborate with cross-functional teams to align AI development with business needs.

9. Research & Innovation:

 Stay updated on the latest advancements in multi-agent systems, LangChain, CrewAI, and testing frameworks.

 Introduce cutting-edge techniques to continuously improve the AI system’s performance.

Required Qualifications:

Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (Ph.D. preferred).

Experience:

• 3+ years in AI development, with experience in multi-agent systems, logistics, or related fields.

• Proven experience in conducting A/B testing and beta testing for AI systems.

• Hands-on experience with CrewAI and LangChain tools.

• Should have hands-on experience working with end-to-end chatbot development, specifically with Agentic and RAG-based chatbots. It is essential that the candidate has been involved in the entire lifecycle of chatbot creation, from design to deployment.

• Should have practical experience with LLM application deployment.

Technical Skills:

• Proficiency in Python and machine learning frameworks (e.g., TensorFlow, PyTorch).

• Strong understanding of A/B testing platforms and methodologies for AI systems.

• Expertise in building beta testing pipelines and real-world simulation environments.

• Familiarity with distributed systems, reinforcement learning, and natural language processing (NLP).

• Proficiency in using LangChain tools for chaining tasks, knowledge retrieval, and reasoning.

• Proficiency with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).

• Good to have experience in Cursor & MCP.

• Experience in setting up monitoring dashboards with tools like Grafana, Tableau, or similar.

Preferred Qualifications:

 Experience in logistics systems, such as route optimization, shipment tracking, and demand forecasting.

 Familiarity with graph theory, network optimization, and blockchain for agent security.

 Background in designing scalable systems tested under diverse operational conditions.

Soft Skills:

 Strong analytical and problem-solving abilities.

 Ability to communicate technical concepts effectively to stakeholders.

 Leadership skills for mentoring teams and guiding project execution.

Job Description:

As a WordPress and PHP Developer , you will play a pivotal role in designing, developing, and maintaining high-quality websites and web applications for Texila. You will collaborate with cross-functional teams to ensure projects are delivered on time and exceed expectations. Your expertise in WordPress and PHP will be crucial in implementing robust, scalable, and secure solutions.

PHP and WordPress Developer Responsibilities:

Collaborate with the UI/UX and internal teams to develop custom WordPress themes, plugins, and functionality that align with project requirements.

Write efficient, maintainable, and secure PHP code for both front-end and backend development.

Customize and extend existing WordPress themes and plugins to meet needs.

Integrate third-party APIs and services to enhance website functionality and user experience.

Optimize websites for speed, performance, and SEO, and ensure they are responsive across different devices.

Troubleshoot and resolve issues related to WordPress, PHP, and other web technologies.

Stay up-to-date with the latest industry trends, technologies, and best practices in WordPress and PHP development.

Participate in code reviews, provide constructive feedback, and maintain coding standards within the team.

Collaborate with other developers, designers, and stakeholders to deliver high-quality projects on time.

Requirements:

WordPress developers with strong hold PHP development experience.

Bachelor’s degree in computer science or a similar field.

Proven work experience (6+ YEARS) as a WordPress developer and PHP.

Knowledge of front-end technologies including CSS3, JavaScript, HTML5, and jQuery.

Knowledge of code versioning tools 

Experience working with debugging tools such as Chrome Inspector and Firebug.

Good understanding of website architecture and aesthetics.

Ability to manage projects and meet timelines 

Location: Coimbatore

• Proven track record of successful sales achievements and a deep understanding of sales principles and techniques.
• Exceptional communication skills with fluency in English, both written and spoken.
• Excellent interpersonal skills, allowing you to connect effectively with client.
• Self-motivated, driven, and results-oriented with the ability to thrive in a fast-paced, target-driven environment.
• Strong organizational skills, with a keen eye for detail and the ability to manage multiple tasks simultaneously.
• Technologically proficient, and able to adapt to various sales and customer relationship management software.

• Produce clean code and automated tests
• Align with enterprise architecture frameworks and standards
• Be the role-model for all engineers in the team in terms of technical competency
• Research, assess and adopt new technologies as required
• Be a guide and mentor to the team members and help in ramping up the overall skill-base of the team.
• Produce detailed estimates and optimized work plans for requirements and changes
• Ensure that features are delivered on time and that they meet the business needs
• Strive for quality of performance, usability, reliability, maintainability, and extensibility
• Identify opportunities for process and tool improvements
• Use analytical rigor to produce effective solutions to poorly defined problems
• Follow Build to Ship mantra in practice with full Dev Ops implementation
• 10+ years of core software development and product creation experience in CPaaS.
• Working knowledge in VoIP, communication API , J2EE, JMS/ Kafka, Web-Services, Hadoop, React, Node.js, GoLang.
• Working knowledge in Various CPaaS channels - SMS, voice, WhatsApp, RCS, Email.
• Working knowledge of DevOps, automation testing, test driven development, behavior driven development, server-less or micro-services
• Experience with AWS / Azure deployments
• Solid background in large scale software development.
• Full stack understanding of web/mobile/API/database development concepts and patterns
• Exposure to Microservices, Iaas, PaaS, service mesh, SaaS and cloud native application development.
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• Understanding of Agile Scrum and SDLC principles.
• Containerization and orchestrations:- Dockers, kuberenetes, openshift, consule etc.
• Knowledge on NFV (openstack, Vsphere, Vcloud etc)
• Experience in Data Analytics/AI/ML or Marketing Tech domain is an added advantage
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