Assistant Sales Manager

Growth Specialist Trainee - Open to MBA Graduates

Overview: 

Coschool’s AI-powered learning platform embeds into the school system — enabling schools to transform student learning, ease the burden on teachers, and turn parents into learning partners. Coschool — the trusted AI partner for schools. With our AI-driven solution, schools can boost teacher efficiency and elevate student learning outcomes.       

A structured 45-day program designed for energetic and motivated freshers who want to build a career in EdTech sales. You will learn the SchoolAI product, understand the principal-level demo flow, practice sales pitches, and gain real-time exposure to school leadership conversations before transitioning into a full-time Growth Specialist role driving school acquisitions, demos and product adoption. 

As a Growth Specialist Trainee: 

You Get: 

• An intensive 4-week growth bootcamp with "AI as your trainer" to fast-track your learning. 
• Mentorship and guidance to develop a strong foundation in product-led growth and user metrics.
•  A dynamic startup culture with room to experiment, learn, and grow fast.
•  A clear career pathway: 45 days Training → Probation → Regular Role with exciting long-term opportunities.
•  Opportunity to work on global product.
•  Team that leads and scale the SchoolAi Product.
•  Successful completion of training boot camp and transition to onrolls. 

Your Key Responsibilities:

•  Complete all about Coschool & SchoolAI product modules on time and clear product assessments.
• Demonstrate strong understanding of product workflows for Principals, Teachers, Students, and Parents.
• Perform AI-led and peer role plays with clarity in pitch, demo flow, and objection handling.
• Develop your own pitch style and demo flow using key product messages, and deliver mock demos with clarity, creativity and strong communication as per evaluation standards.Shadow real demos and school interactions during the 15-day onsite phase.
• Maintain 100% attendance, punctuality, and timely completion of all tasks.
• Show professionalism, positive attitude, and coach ability throughout the program.
• Achieve benchmark scores required to qualify for the full-time Growth Specialist role.
•  Progress to the 15-day onsite phase only upon successfully clearing the 30-day training and assessments. 

Your Key Skills Requirement:

• Strong communication skills — clarity in interactions and confident in presentation.
• Street-smart, adaptable, and self-driven with a hunger to learn and grow.
• Willingness to work on the ground, analyze data, and suggest growth tactics based on evidence.
• Basic comfort with spreadsheets (Excel/Google Sheets) and understanding of users.
• Exposure to case studies, or any internships is a plus.

What We Need: 

• Education:  Final-year MBA (Marketing) student or a recently graduated MBA postgraduate (Marketing specialization preferred).
• Location: People Combine Office, Hyderabad. 

Training Phase Criteria:

•  The training begins with a 30-day assessment-based learning phase.
• Only candidates who successfully clear the 30-day assessments will move to the second phase.
• The 15-day in-office training phase is for candidates who qualify in the first phase.
• Candidates who do not clear the 30-day evaluation will not progress to the onsite training phase. 

Role : Sr Data Scientist / Tech Lead – Data Science

Number of positions : 8

Responsibilities

• Lead a team of data scientists, machine learning engineers and big data specialists
• Be the main point of contact for the customers
• Lead data mining and collection procedures
• Ensure data quality and integrity
• Interpret and analyze data problems
• Conceive, plan and prioritize data projects
• Build analytic systems and predictive models
• Test performance of data-driven products
• Visualize data and create reports
• Experiment with new models and techniques
• Align data projects with organizational goals

Requirements (please read carefully)

• Very strong in statistics fundamentals. Not all data is Big Data. The candidate should be able to derive statistical insights from very few data points if required, using traditional statistical methods.
• Msc-Statistics/ Phd.Statistics
• Education – no bar, but preferably from a Statistics academic background (eg MSc-Stats, MSc-Econometrics etc), given the first point
• Strong expertise in Python (any other statistical languages/tools like R, SAS, SPSS etc are just optional, but Python is absolutely essential). If the person is very strong in Python, but has almost nil knowledge in the other statistical tools, he/she will still be considered a good candidate for this role.
• Proven experience as a Data Scientist or similar role, for about 7-8 years
• Solid understanding of machine learning and AI concepts, especially wrt choice of apt candidate algorithms for a use case, and model evaluation.
• Good expertise in writing SQL queries (should not be dependent upon anyone else for pulling in data, joining them, data wrangling etc)
• Knowledge of data management and visualization techniques --- more from a Data Science perspective.
• Should be able to grasp business problems, ask the right questions to better understand the problem breadthwise /depthwise, design apt solutions, and explain that to the business stakeholders.
• Again, the last point above is extremely important --- should be able to identify solutions that can be explained to stakeholders, and furthermore, be able to present them in simple, direct language.

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We are a rapidly expanding global technology partner, that is looking for a highly skilled Senior (Python) Data Engineer to join their exceptional Technology and Development team. The role is in Kolkata. If you are passionate about demonstrating your expertise and thrive on collaborating with a group of talented engineers, then this role was made for you!

At the heart of technology innovation, our client specializes in delivering cutting-edge solutions to clients across a wide array of sectors. With a strategic focus on finance, banking, and corporate verticals, they have earned a stellar reputation for their commitment to excellence in every project they undertake.

We are searching for a senior engineer to strengthen their global projects team. They seek an experienced Senior Data Engineer with a strong background in building Extract, Transform, Load (ETL) processes and a deep understanding of AWS serverless cloud environments.

As a vital member of the data engineering team, you will play a critical role in designing, developing, and maintaining data pipelines that facilitate data ingestion, transformation, and storage for our organization.

Your expertise will contribute to the foundation of our data infrastructure, enabling data-driven decision-making and analytics.

Key Responsibilities:

• ETL Pipeline Development: Design, develop, and maintain ETL processes using Python, AWS Glue, or other serverless technologies to ingest data from various sources (databases, APIs, files), transform it into a usable format, and load it into data warehouses or data lakes.
• AWS Serverless Expertise: Leverage AWS services such as AWS Lambda, AWS Step Functions, AWS Glue, AWS S3, and AWS Redshift to build serverless data pipelines that are scalable, reliable, and cost-effective.
• Data Modeling: Collaborate with data scientists and analysts to understand data requirements and design appropriate data models, ensuring data is structured optimally for analytical purposes.
• Data Quality Assurance: Implement data validation and quality checks within ETL pipelines to ensure data accuracy, completeness, and consistency.
• Performance Optimization: Continuously optimize ETL processes for efficiency, performance, and scalability, monitoring and troubleshooting any bottlenecks or issues that may arise.
• Documentation: Maintain comprehensive documentation of ETL processes, data lineage, and system architecture to ensure knowledge sharing and compliance with best practices.
• Security and Compliance: Implement data security measures, encryption, and compliance standards (e.g., GDPR, HIPAA) as required for sensitive data handling.
• Monitoring and Logging: Set up monitoring, alerting, and logging systems to proactively identify and resolve data pipeline issues.
• Collaboration: Work closely with cross-functional teams, including data scientists, data analysts, software engineers, and business stakeholders, to understand data requirements and deliver solutions.
• Continuous Learning: Stay current with industry trends, emerging technologies, and best practices in data engineering and cloud computing and apply them to enhance existing processes.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Proven experience as a Data Engineer with a focus on ETL pipeline development.
• Strong proficiency in Python programming.
• In-depth knowledge of AWS serverless technologies and services.
• Familiarity with data warehousing concepts and tools (e.g., Redshift, Snowflake).
• Experience with version control systems (e.g., Git).
• Strong SQL skills for data extraction and transformation.
• Excellent problem-solving and troubleshooting abilities.
• Ability to work independently and collaboratively in a team environment.
• Effective communication skills for articulating technical concepts to non-technical stakeholders.
• Certifications such as AWS Certified Data Analytics - Specialty or AWS Certified DevOps Engineer are a plus.

Preferred Experience:

• Knowledge of data orchestration and workflow management tools
• Familiarity with data visualization tools (e.g., Tableau, Power BI).
• Previous experience in industries with strict data compliance requirements (e.g., insurance, finance) is beneficial.

What You Can Expect:

- Innovation Abounds: Join a company that constantly pushes the boundaries of technology and encourages creative thinking. Your ideas and expertise will be valued and put to work in pioneering solutions.

- Collaborative Excellence: Be part of a team of engineers who are as passionate and skilled as you are. Together, you'll tackle challenging projects, learn from each other, and achieve remarkable results.

- Global Impact: Contribute to projects with a global reach and make a tangible difference. Your work will shape the future of technology in finance, banking, and corporate sectors.

They offer an exciting and professional environment with great career and growth opportunities. Their office is located in the heart of Salt Lake Sector V, offering a terrific workspace that's both accessible and inspiring. Their team members enjoy a professional work environment with regular team outings. Joining the team means becoming part of a vibrant and dynamic team where your skills will be valued, your creativity will be nurtured, and your contributions will make a difference. In this role, you can work alongside some of the brightest minds in the industry.

If you're ready to take your career to the next level and be part of a dynamic team that's driving innovation on a global scale, we want to hear from you.

Apply today for more information about this exciting opportunity.

Onsite Location: Kolkata, India (Salt Lake Sector V)

Intuitive is the fastest growing top-tier Cloud Solutions and Services company supporting Global Enterprise Customer across Americas, Europe and Middle East.

Intuitive is looking for highly talented hands-on Cloud Infrastructure Architects to help accelerate our growing Professional Services consulting Cloud & DevOps practice. This is an excellent opportunity to join Intuitive’ s global world class technology teams, working with some of the best and brightest engineers while also developing your skills and furthering your career working with some of the largest customers.

JD:

Lead the pre-sales (25%) to post-sales (75%) efforts building Public/Hybrid Cloud solutions working collaboratively with Intuitive and client technical and business stakeholders

Be a customer advocate with obsession for excellence delivering measurable success for Intuitive’s customers with secure, scalable, highly available cloud architecture that leverage AWS Cloud services

Experience in analyzing customer's business and technical requirements, assessing existing environment for Cloud enablement, advising on Cloud models, technologies, and risk management strategies

Apply creative thinking/approach to determine technical solutions that further business goals and align with corporate technology strategies

Extensive experience building Well Architected solutions in-line with AWS cloud adoption framework (DevOps/DevSecOps, Database/Data Warehouse/Data Lake, App Modernization/Containers, Security, Governance, Risk, Compliance, Cost Management and Operational Excellence)

Experience with application discovery prefera bly with tools like Cloudscape, to discover application configurations , databases, filesystems, and application dependencies

Experience with Well Architected Review, Cloud Readiness Assessments and defining migration patterns (MRA/MRP) for application migration e.g. Re-host, Re-platform, Re-architect etc

Experience in architecting and deploying AWS Landing Zone architecture with CI/CD pipeline

Experience on architecture, design of AWS cloud services to address scalability, performance, HA, security, availability, compliance, backup and DR, automation, alerting and monitoring and cost

Hands-on experience in migrating applications to AWS leveraging proven tools and processes including migration, implementation, cutover and rollback plans and execution

Hands-on experience in deploying various AWS services e.g. EC2, S3, VPC, RDS, Security Groups etc. using either manual or IaC, IaC is preferred

Hands-on Experience in writing cloud automation scripts/code such as Ansible, Terraform, CloudFormation Template (AWS CFT) etc.

Hands-on Experience with application build/release processes CI/CD pipelines

Deep understanding of Agile processes (planning/stand-ups/retros etc), and interact with cross-functional teams i.e. Development, Infrastructure, Security, Performance Engineering, and QA

Additional Requirements:

Work with Technology leadership to grow the Cloud & DevOps practice. Create cloud practice collateral

Work directly with sales teams to improve and help them drive the sales for Cloud & DevOps practice

Assist Sales and Marketing team in creating sales and marketing collateral

Write whitepapers and technology blogs to be published on social media and Intuitive website

Create case studies for projects successfully executed by Intuitive delivery team

Conduct sales enablement sessions to coach sales team on new offerings

Flexibility with work hours supporting customer’s requirement and collaboration with global delivery teams

Flexibility with Travel as required for Pre-sales/Post-sales, Design workshops, War-room Migration events and customer meetings

Strong passion for modern technology exploration and development

Excellent written, verbal communication skills, presentation, and collaboration skills - Team leadership skills

Experience with Multi-cloud (Azure, GCP, OCI) is a big plus

Experience with VMware Cloud Foundation as well as Advanced Windows and Linux Engineering is a big plus

Experience with On-prem Data Engineering (Database, Data Warehouse, Data Lake) is a big plus

i2V Systems builds products in the video surveillance domain. We are looking for Full Stack developers who are capable solving complex problems, and have a strong will to get things done.

Job Responsibilities:

• Work on designing and development of new software products.
• Work on Improving, optimising and maintaining existing software products.
• Helping deployment team deploy products you work on.

Skills required:

• Good knowledge in C#, Javascript.
• Hands-on development experience in of. NET and Angular framework.
• Good knowledge of basic data structures and algorithms.
• Experience in database design preferrable.
• Familiarity with database technologies such as MySQL and PostgreSQL.
• Ability to learn new technologies, frameworks and programming languages.

• Work with the client and internal web development team to design new products or enhancements.
• Take part in system development including analysis, coding, and testing in an agile product development team.
• To develop business requirements into cost-effective and elegant technical solutions.
• Perform peer design and code reviews with other software engineers.
• Help to evaluate requirements and solutions from a technical perspective and implement custom built solutions. 
• Perform estimates of user stories that are to be implemented to help with product engineering planning.
• Work with backend development members to co-create APIs for frontend consumption
• Mentor less experienced team members on proper standards/techniques to improve their development practices and efficiency.
• Write scripts to perform unit testing, functional testing and assist with user acceptance testing support.
• Optimize UI for efficiency and maintainability
• Perform non-production and production deployment processes as scheduled.
• Provide on-going support to the application.