Corporate Sales Manager

Required Qualifications

• Bachelor's degree in Engineering, Business Administration, Supply Chain Management, Information Technology, or a related discipline.
• 3–5 years of experience in Project Coordination, PMO, or Project Management support.
• Strong understanding of project lifecycle management and project governance.
• Experience coordinating cross-functional teams across multiple stakeholders.
• Excellent organizational, communication, and stakeholder management skills.
• Strong analytical and problem-solving abilities with attention to detail.
• Ability to manage multiple priorities in a fast-paced environment.

Preferred Experience

• Experience working in the Supply Chain, Logistics, Warehouse Management (WMS), Manufacturing, or Distribution domain.
• Exposure to supply chain transformation, warehouse automation, transportation management, inventory management, or ERP implementation projects.
• Experience supporting Agile, Waterfall, or Hybrid project methodologies.

Technical Skills

• Project Management Tools: Jira, Azure DevOps, Microsoft Project, Smartsheet, or similar.
• Microsoft Office Suite (Advanced Excel, PowerPoint, Word).
• Collaboration Tools: Microsoft Teams, Confluence, SharePoint.
• Reporting and dashboard preparation using Excel or Power BI is an added advantage.
• Familiarity with ERP platforms such as SAP, Oracle, Manhattan, Blue Yonder, or Kinaxis is preferred.

Preferred Certifications

• CAPM (Certified Associate in Project Management)
• PMP (Preferred but not mandatory)
• Scrum Fundamentals / Certified ScrumMaster (CSM) – Good to have

PRINCE2 Foundation – Good to have

• Knowledge of OO JavaScript
• 7.2. 10+ years hands-on experience with web development using
• HTML5, JavaScript (React, Preact.js, Redux, Redux, Vue.js,
• CSS3, SignalR, Socket.io)
• 7.3. Experience building responsive design layouts using a formal
• framework like Bootstrap and familiarity with best practices
• (web security concepts, ensuring browser & device
• compatibility, etc.)
• 7.4. Experience in creating secure pre-compiled script libraries.
• 7.5. Familiar with development and debugging tools for cross-
• browser issues
• 7.6. Experience integrating with RESTful APIs for server-side

Job Description

We are seeking a Moodle Developer with strong PHP expertise to develop, customize, and support our Learning Management System (LMS) for EdTech products. The role involves deep Moodle core development, plugin customization, and LMS integrations to deliver scalable and user-friendly online learning solutions.

Key Responsibilities

Develop and customize Moodle LMS using PHP

Create and enhance custom Moodle plugins, blocks, and reports

Customize Moodle themes, UI, and UX

Integrate Moodle with ERP, CRM, payment gateways, and third-party APIs

Manage Moodle upgrades, migrations, and security patches

Optimize LMS performance, database queries, and scalability

Implement user roles, permissions, assessments, and reports

Troubleshoot and resolve production issues

Collaborate with product, academic, and QA teams

Required Skills

Strong experience in PHP with Moodle LMS

Hands-on knowledge of MySQL / PostgreSQL

Proficiency in HTML, CSS, JavaScript, jQuery

Experience in Moodle plugin development & customization

Understanding of SCORM, quizzes, grading, and reporting

Experience with REST APIs, web services, and SSO

Familiarity with Linux server environments

Good to Have

Experience in EdTech platforms / online education

Knowledge of Moodle Mobile App customization

Exposure to AWS / Cloud infrastructure

Understanding of data security & privacy standards

Experience with Git / CI-CD pipelines

At Pipaltree, we’re building an AI-enabled platform that helps brands understand how they’re truly perceived — not through surveys or static dashboards, but through real conversations happening across the world.

We’re a small team solving deep technical and product challenges: orchestrating large-scale conversation data, applying reasoning and summarization models, and turning this into insights that businesses can trust.

Requirements:

• Deep understanding of distributed systems and asynchronous programming in Python
• Experience with building scalable applications using LLMs or traditional ML techniques
• Experience with Databases, Cache, and Micro services
• Experience with DevOps is a huge plus

Job Description:

As a Backend Developer, you will:

• Implement server-side logic to ensure high performance and responsiveness to requests from the front-end.
• Integrate machine learning models for fraud detection, enhancing the security and reliability of our applications.
• Manage database operations, ensuring the integrity, security, and efficiency of data storage and retrieval.
• Collaborate with cross-functional teams to develop and maintain scalable, robust, and secure applications.

Responsibilities:

• Development of all server-side logic, definition, and maintenance of the central database.
• Ensuring high performance and responsiveness to front-end requests.
• Integrating data storage solutions, including databases, key-value stores, blob stores, etc.
• Implementing security and data protection measures.
• Integrating machine learning models for advanced data processing and analysis.

Key Performance Indicators (KPI) For Role:

• Quality and efficiency of backend systems developed.
• Effectiveness in integrating and deploying machine learning models.
• Database performance and security measures.
• Positive feedback from team members and stakeholders.
• Adherence to coding standards and best practices in backend development.

Prior Experience Required:

• Minimum 3+ years of backend development experience.
• Proficient in Node.js or Python (especially Django and Flask frameworks), or/and Go.
• Strong database management skills with both SQL and NoSQL databases.
• Experience in integrating and deploying machine learning models for real-world applications, specifically for fraud detection is highly desirable.
• Familiarity with RESTful API development and microservices architecture.
• Good understanding of asynchronous programming and its workarounds.
• Experience with cloud services (AWS, Azure, GCP) and serverless architectures.

Location:

Hyderabad

Collaboration:

The role involves close collaboration with frontend developers, data scientists, and project managers to ensure the seamless integration of backend services with front-end applications and data analytics models.

Salary:

Competitive, based on experience and market standards.

Education:

• Bachelor's degree in Computer Science, Information Technology, or a related field.

Language Skills:

• Strong command of Business English, both verbal and written, is required.

Other Skills Required:

• Strong analytical and problem-solving skills.
• Proficient understanding of code versioning tools, such as Git.
• Ability to design and implement low-latency, high-availability, and performant applications.
• Knowledge of security compliance and integrated security protocols.
• Familiarity with continuous integration and continuous deployment (CI/CD) pipelines.
• Experience with containerization technologies (Docker, Kubernetes) is a plus.

Other Requirements:

• Proven ability to work in a fast-paced, agile development environment.
• Demonstrated ability to manage multiple projects simultaneously and meet deadlines.
• A portfolio showcasing successful backend projects.

·                    Design, develop, and implement AI/ML models and algorithms.

·                    Focus on building Proof of Concept (POC) applications to demonstrate the feasibility and value of AI solutions.

·                    Write clean, efficient, and well-documented code.

·                    Collaborate with data engineers to ensure data quality and availability for model training and evaluation.

·                    Work closely with senior team members to understand project requirements and contribute to technical solutions.

·                    Troubleshoot and debug AI/ML models and applications.

·                    Stay up-to-date with the latest advancements in AI/ML.

·                    Utilize machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) to develop and deploy models.

·                    Develop and deploy AI solutions on Google Cloud Platform (GCP).

·                    Implement data preprocessing and feature engineering techniques using libraries like Pandas and NumPy.

·                    Utilize Vertex AI for model training, deployment, and management.

·                    Integrate and leverage Google Gemini for specific AI functionalities.

Qualifications:

·                    Bachelor’s degree in computer science, Artificial Intelligence, or a related field.

·                    3+ years of experience in developing and implementing AI/ML models.

·                    Strong programming skills in Python.

·                    Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.

·                    Good understanding of machine learning concepts and techniques.

·                    Ability to work independently and as part of a team.

·                    Strong problem-solving skills.

·                    Good communication skills.

·                    Experience with Google Cloud Platform (GCP) is preferred.

·                    Familiarity with Vertex AI is a plus.

Job Requirement – Sr. SQL _PBI Developer

• Minimum 6+ years of expertise in SQL Database Development including SQL queries, data structures, stored procedures, index etc.
• Excellent written and verbal communication
• Advanced knowledge and experience in T-SQL coding: query writing, stored procedures, triggers and user-defined functions.
• Advanced knowledge and experience in development and maintenance of SSIS and SSAS (Tabular and Multidimensional)
• Advanced knowledge and experience in creating dashboards and reports using PowerBI
• Advanced knowledge and experience in DAX
• Experience in creating and publishing reports using SSRS
• Experience in writing MDX queries
• Manage SQL Server databases through multiple product lifecycle environments, from development to mission-critical production systems.
• Optimize and manage SQL server databases
• Independently analyse, solve, and correct issues in real time, providing problem resolution end-to-end.
• Refine and automate regular processes, track issues, and document changes
• Share domain and technical expertise, providing technical mentorship and cross-training to other peers and team members.
• Flexible, team player, “get-it-done” personality
• Ability to organize and plan work independently
• Ability to work in a rapidly changing environment
• Ability to multi-task and context-switch effectively between different activities and teams

Optional Skills (Good to have):

• Microsoft certification in Azure data engineering

• Get involved in the entire customer lifecycle from on-boarding through the duration of their subscription period 
• Provide product training to enable the customers to realize the potential of the company
• Identify product usage gaps and provide actionable solutions to the customers 
• Build value-based relationships with customers and create company champions 
• Conduct Strategic Business Reviews (EBRs and QBRs) to understand customer lifecycle milestones, communicate the value of our product, showcase ROI, 
• Drive desired customer outcomes through a consultative approach 
• Ensure customer retention by negotiating and closing renewals 
• Identify opportunities of upselling and cross-selling along with the Account Managers 
• Identify appropriate business use cases where the company can be deployed 
• Establish deployment goals and desired success outcomes and then develop a plan to carry them out successfully 
• Have a strong business sense to keep looking out for new use cases and solutions using a company to create a win-win situation with customers 
• Communicate and brain-storm with the product team on customer feedback and help refine product roadmap 
• Work with the marketing team to execute customer surveys, case studies, etc 
• Identify and Process Success milestones for the customers 
• Optimize existing processes within the company and actively enhance all Customer Success initiatives 
• Drive customer advocacy through reviews, testimonials, customer meetups; and create a center of excellence within the customer's organization 

Our ideal Customer Success Manager: 

• Has relevant 3 to 7 years of work experience (CSM - 3 to 5 yrs; Sr CSM - 4 to 6 yrs; Lead or Principal CSM - More than 7 yrs)  in a high-touch Customer Success / Strategic Consulting role in a B2B SaaS or Tech Product based company 
• Being an organization that believes in a flat hierarchy, we have only 1 people manager per region for the CS team and everyone else, including those with 15+ yrs of Customer Facing experience add value to the company and its customers in the capacity of an individual contributor 
• Should be open to aligning with the US / EU time zone (5 PM to 2:00 AM / 1 PM to 10 PM IST). Note - The company does provide free lunch + dinner, and a cab drop facility with an additional allowance for the ones working in the US time zone. 
• Showcases exemplary written and verbal communication skills to work along with Global Customers 
• Has worked directly with Large Enterprise Customers in the Americas or European region  
• Has an exceptional ability to communicate and foster positive business relationships
• Demonstrates a deep understanding of customers concerns and thoughts regarding the use of products
• Managed customers across different segments in the past and knows how to manage them differently
• Exhibits a true passion for customers and for Customer Success  

•  3+ years of experience in Machine Learning
• Bachelors/Masters in Computer Engineering/Science.
• Bachelors/Masters in Engineering/Mathematics/Statistics with sound knowledge of programming and computer concepts.
• 10 and 12th acedemics 70 % & above.

Skills :
 - Strong Python/ programming skills
 - Good conceptual understanding of Machine Learning/Deep Learning/Natural Language            Processing
 - Strong verbal and written communication skills.
 - Should be able to manage team, meet project deadlines and interface with clients.
 - Should be able to work across different domains and quickly ramp up the business                   processes & flows & translate business problems into the data solutions