What you’ll do:
➡️ Counsel students and parents on academic programs
➡️ Handle inbound inquiries and make outbound follow-ups
➡️ Understand learner needs and recommend suitable programs
➡️ Schedule demos, counselling sessions, and ensure timely responses
➡️ Build long-term relationships with prospective learners
What we’re looking for:
➡️ Experience in admissions counselling, EdTech, or higher education
➡️ Strong communication & consultative selling skills
➡️ Comfort with calls, follow-ups, and lead conversion
➡️ Student-first mindset with empathy and ownership

Similar jobs
The Opportunity:
Agami unlocks the power of data to create opportunities for consumers, businesses, and society. We gather, analyze, and process data in ways others can’t. For more than 5 years, we’ve helped consumers and clients prosper, and economies and communities flourish – and we’re not done. We believe the possibilities for you, and our world, are growing. We’re investing in new technologies, talented people, and innovation so we can help create a better tomorrow.
Expected Deliverables & Outcomes:
Provide leadership and management for the regional sales territory and sales development activities, in alignment with the strategic company direction. Responsible for retaining current customers as well as developing and attracting new customers. Responsible for learning and selling current products and new products, keeping abreast of new technologies, recommending/sharing changes and trends seen in the
field, and meeting sales goals in targeted markets.
Responsibilities:
1. Prospect and close sales leads to help generate revenue for the company.
2. Responsible for developing, implementing, and evaluating the sales strategy.
3. Should have strong management and coaching skills to support the learning and development of
the sales team.
4. Support the learning and development of the sales team
5. Coordinate with sales representatives to generate and meet with prospective leads
6. Track and report all sales activities
7. Develop and execute sales strategy through market analysis
Driving Results:
Sets positive, compelling goals and aggressive schedules for improvement. Translates the vision/mission of the organization into actionable, quantitative plans. Conveys a sense of urgency and drives issues to closure.
Managing Performance
Translates overarching business goals into specific objectives for each member of the team. Holds people accountable for agreed-upon results. Identifies and keeps others focused on the most important metrics that
drive the business, and uses CRM and reporting tools consistently to effectively manage the territory
Building Commitment
Motivates others to pursue common objectives with excitement about the future. Radiates enthusiasm for goals and infects others with a shared optimism and excitement. Conveys a genuine belief in succeeding despite the toughest obstacles. Building Relationships and Using Influence builds and sustains excellent relationships at all levels, both internally and externally. Uses relationship networks to strategically accomplish objectives. Communicates excitement about the business and motivates others to pursue common objectives.
Communication
Communicates passion, energy, intensity, and excitement. Is highly articulate and compellingly makes arguments and comes to the point. Energy/Endurance Has a high work capacity and shows passion,energy, endurance, and intensity. Maintains focus through days of long hours and multiple priorities
Minimum Qualifications:
● Bachelor’s degree in marketing or business administration
● Should have at least 3 to 5 years of experience selling multiple software products and services
into key accounts. Selling SAAS products /Cloud experience, Call Center, and CRM selling
Experience will be preferred.
● Excellent communication, interpersonal, and organizational skills
● Superb leadership ability
● Ready to travel
● Proven success rate at levels above quotas
● Experience in planning and implementing sales strategies.
● Should be a relationship builder at the C or VP level
● Should follow a consultative approach to sales
● Strong business vertical domain expertise needed/preferred in at least 2 verticals (BFSI, RETAIL,
EDUCATION, HEALTHCARE, BPO/ITES)
About the Role
We are looking for an experienced Calypso Developer with strong expertise in L2/L3 support and DevOps methodologies to join our engineering team.
In this role, you will bridge the gap between development and operations, ensuring the stability, performance, and continuous integration/delivery of our Calypso applications. You will handle complex technical issues, optimize system workflows, and automate deployment pipelines to support our global financial technology solutions.
Roles & Responsibilities
L2/L3 Support & Application Maintenance
- Provide high-quality L2 and L3 technical support for the Calypso platform, diagnosing and resolving complex production issues, system bottlenecks, and data discrepancies.
- Analyze application logs, thread dumps, and database queries to troubleshoot root causes of failures in a timely manner.
- Own and manage critical incident response, ensuring minimal downtime and adherence to strict SLAs.
- Collaborate closely with business analysts, clearing houses, and trading desks to resolve functional and technical queries related to Back-Office, Middle-Office, and market data interfaces.
- Implement, maintain, and optimize CI/CD pipelines for Calypso deployments using tools like Jenkins, GitLab CI, or TeamCity.
- Drive infrastructure automation and environment management using Ansible, Terraform, or similar tools.
- Containerize Calypso components where applicable (using Docker/Kubernetes) to streamline environment provisioning.
Preferred Candidate Profile
Experience
- 5 to 8 years of solid technical experience working with the Calypso Banking Framework.
Soft Skills
- Excellent analytical problem-solving skills.
- Strong communication skills to interact with global stakeholders.
- Ability to thrive under pressure in a production support environment.
Perks and Benefits
Competitive Compensation
- Market-leading salary with performance-linked annual bonuses.
Comprehensive Health & Wellness
- Premium medical, accident, and life insurance coverage for you and your immediate family.
Continuous Learning
- Access to professional certifications, internal tech academies, and structured leadership development programs to support your career progression.
Work-Life Balance
- Flexible working hours and hybrid work arrangements to keep your personal and professional life well-balanced.
State-of-the-Art Infrastructure
- Opportunity to work in a world-class office environment equipped with high-end tech infrastructure and vibrant collaboration spaces.
We are seeking an experienced Business Evangelist with technical sales experience to join our Enterprise Sales team. As
a Business Evangelist, you will be responsible for identifying and developing new business opportunities, and solution
showcase, managing existing accounts and building long-term relationships with prospects & customers.
Only Female candidates
Location - Chennai
Key Responsibilities:
1. Develop and implement sales strategies to achieve revenue targets and drive business growth.
2. Build and maintain strong relationships with key decision-makers and influencers within target accounts.
3. Identify and qualify new business opportunities through lead generation, and referrals.
4. Conduct high-level solution presentations and demonstrations to prospects and customers.
5. Provide accurate and timely sales forecasts, account plans, and reports.
6. Collaborate with marketing, engineering, and product management teams to ensure customer satisfaction and
success.
7. Attend industry events and conferences to stay up-to-date on market trends and competition.
Requirements:
1. Master’s degree in Business, Marketing, or a related field.
2. Minimum of 5 years of enterprise technical sales experience in SaaS, Software or Cyber Security organisations.
3. Proven track record of achieving sales targets and driving revenue growth.
4. Excellent communication and interpersonal skills.
5. Ability to build and maintain relationships with key decision-makers and influencers.
6. Ability to work independently and as part of a team in a fast-paced, dynamic environment.
Country : Usa
Work profie : calling to usa customer for providing them logistic & transportation solution.
Location : Thaltej, Ahmedabad
Salary budget : 23000 to 27000
Skills : Good communication in english language
Shift time : 5.30 pm to 2.30 am
Product : logistic
Education : ssc
Gender : male
Interview type : personal
Job Type: Full-time
Salary: ₹15,000.00 - ₹27,000.00 per month
Schedule:
- Night shift
Supplemental pay types:
- Commission pay
Education:
- Higher Secondary(12th Pass) (Preferred)
Experience:
- total work: 1 year (Preferred)
- Customer service: 1 year (Preferred)
Language:
- English (Preferred)
We at BitClass are looking for a Sr Product Manager to build the product management function at BitClass and be responsible for end to end product delivery.
We are looking for someone who has a few solid years of experience in product management across B2C companies.
Looking for people who are extremely good with thinking product specs, getting things live in quick time without compromising on the value. Looking for people with extremely strong logical reasoning, designing workflows.
This is as Entrepreneurial as a role can get at a startup and we are only looking for people who believe in what we are trying to do, are supremely vested in what we are building at BitClass and have a very very high sense of ownership.
What we offer in return is a chance to build something magical, generation defining, global product right from the very heart of Namma Bengaluru.
Can't wait to speak with you !
- Build pixel-perfect UIs across Android and iOS mobile platforms.
- Leverage native APIs for deep integrations with both platforms.
- Diagnose and fix bugs and performance bottlenecks for performance that feels native.
- Developing and releasing complex, data-driven apps using React Native as the primary application framework.
- Proficiency writing Modern JavaScript, including ES6+, and JSX.
- Maintain code and write automated tests to ensure the product is of the highest quality.
- Must be able to develop high-performance cross-platform apps using React-Native.
ML Engineer-Analyst/ Senior Analyst
Job purpose:
To design and develop machine learning and deep learning systems. Run machine learning tests andexperiments and implementing appropriate ML algorithms. Works cross-functionally with the Data Scientists, Software application developers and business groups for the development of innovative ML models. Use Agile experience to work collaboratively with other Managers/Owners in geographically distributed teams.
Accountabilities:
- Work with Data Scientists and Business Analysts to frame problems in a business context. Assist all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.
- Understand business objectives and developing models that help to achieve them, along with metrics to track their progress.
- Explore and visualize data to gain an understanding of it, then identify differences in data distribution that could affect performance when deploying the model in the real world.
- Define validation strategies, preprocess or feature engineering to be done on a given dataset and data augmentation pipelines.
- Analyze the errors of the model and design strategies to overcome them.
- Collaborate with data engineers to build data and model pipelines, manage the infrastructure and data pipelines needed to bring code to production and demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created.
Qualifications & Specifications
- Bachelor's degree in Engineering /Computer Science/ Math/ Statistics or equivalent. Master's degree in relevant specification will be first preference
- Experience of machine learning algorithms and libraries
- Understanding of data structures, data modeling and software architecture.
- Deep knowledge of math, probability, statistics and algorithms
- Experience with machine learning platforms such as Microsoft Azure, Google Cloud, IBM Watson, and Amazon
- Big data environment: Hadoop, Spark
- Programming languages: Python, R, PySpark
- Supervised & Unsupervised machine learning: linear regression, logistic regression, k-means
clustering, ensemble models, random forest, svm, gradient boosting
- Sampling data: bagging & boosting, bootstrapping
- Neural networks: ANN, CNN, RNN related topics
- Deep learning: Keras, Tensorflow
- Experience with AWS Sagemaker deployment and agile methodology
Strong knowledge of Computer Science fundamentals in object-oriented design, data structures, algorithm design, problem-solving, complexity analysis, databases.
3-5 years of experience with product development in Python & Angular/React JS.
Proficient understanding of web markup, including HTML5, CSS3
Experience in designing scalable architecture to support a data-intensive application on both front-end and backend
Experience in writing clean reusable react components which works well on different browsers and different devices
Excellent verbal and written skills. The ability to explain sophisticated architectures to engineers, product managers, and support & operation executives. You should also be able to write a proposal for your idea/solutions and take feedback from the team.
Previous work experience at a product-based company or startup would be a bonus.
Previous experience in analyzing & visualizing events/streaming data will be a plus.
Previous experience in creating dashboards is preferable too.
PERSONALY TRAITS WE REALLY ADMIRE
Great attitude to ask questions, learn and suggest process improvements.
Pays great attention to detail and helps identify edge cases.
Gives equal importance to planning, coding, code reviews, documentation, and testing.
Highly motivated and coming up with fresh ideas and perspective to help us move towards our goals faster.
Follows release cycles and absolute commitment to deadlines.
Our tech stack is Django framework (python), ReactJS, PostgreSQL, Redis, COSMOS DB, and Elasticsearch.










