
· Maintained a high profile in the professional and business communities.
· Skilled in cold calling, consultative selling and partnering with others.
· Preparing analysis reports for clients.
· Working on Email campaign.
· Coordinate efforts to improve the customer experience at the point of sale.
· Manage product sales growth and individual sales effectiveness by reviewing sales activity schedule.
· Maintain strong relationships with key contacts in existing clients and develop new clients.
· Liaise between the technical team and clients, as well as senior management and stakeholders.
· Managing a team &Motivating team members to achieve sales target.
· Negotiating contracts and making partnership with clients.
· Working on campaign management and lead nurturing.
· Develop incentive and marketing programs for customers
· Oversee high volume pipeline management

About Qtonix Software Pvt Ltd
About
Similar jobs
About CredFlow :
Imagine a business- always stressed with increasing outstanding dues in the market, pressure from vendors and other creditors to pay off debts, managing operations, sourcing material and the list is endless! Now imagine the plight of millions of such businesses globally.
At CredFlow, we are solving SMEs' most pressing problem of cash flow management. We are a full-stack cash flow management solution automating accounts receivables and building multiple stacks of financial solutions on top of that. We have seen pretty good traction in the past few months, achieved product-market fit and are scaling fast. We already have more than 30 Lakh businesses on the CredFlow network and more than $70 billion worth of invoices on the platform.
Above all, we have a gold mine waiting to be unlocked - the humongous amount of financial data flowing through our servers!
In 2021 we raised a 2.1 million $ seed round from marquee VC Funds. We have recently raised $7 million in Series A from marquee VC Funds.
Company Website Link: https://credflow.in/about%20us.html
Role Title: Business Development Executive – Inside Sales
Process: Revenue generation, cold calling, B2B sales, Product demo.
Work Days: 6 days per week
Job Location: Noida
Office Hours: Work from office (10 AM to 7 PM)
Key Responsibilities:
● Reach out to warm leads on call and schedule product demos.
● Understand customer needs and requirements.
● Share product quotation and close the sale
● Maintain relationships with the customers.
● Get customer referrals from existing paid users.
● Provide after-sale support.
● Share weekly and monthly Sales Forecasts of probable conversion.
● Share product feedback to the product management team.
Skills and Background:
● Excellent communication skills
● Prior sales experience is preferred.
● Good Logical and Analytical skills.
● Smart and Collaborative team
● Best in the market Incentive Structure.
● Early-Stage startup experience.
● Graduate/Postgraduate

Java with cloud
Core Java, SpringBoot, MicroServices |
- DB2 or any RDBMS database application development |
- Linux OS, shell scripting, Batch Processing |
- Troubleshooting Large Scale application |
- Experience in automation and unit test framework is a must |
- AWS Cloud experience desirable |
- Agile Development Experience |
- Complete Development Cycle ( Dev, QA, UAT, Staging) |
- Good Oral and Written Communication Skills |
comprehensive solutions; solve complex business problems and then directing the implementation of these solutions
through a team of developers. Work with the various teams to analyze and assess implementation methodology.
Identify & communicate the technical infrastructure requirements. Support existing business process automations and implement change requirements as part of a structured change control process
Responsibilities:
Leading and managing team of developers.
Integration of user-facing elements developed by a front-end developer with server-side logic.
Building reusable code and libraries for future use
Optimization of the application for maximum speed and scalability
Implementation of security and data protection
Design and implementation of data storage solutions
Skills and Qualifications:
Overall 6-8 years of experience in multi-tiered application development and leadership
Strong Programming fundamentals. (Must have - Java)
Good Knowledge in cloud technologies like AWS, Azure, etc.
Hands on experience on Spring technology including Springboot, SpringMVC, Spring Security and others.
Good understanding on experience on microservice development using Springboot REST web services using
Spring Rest or Jersey SQL NoSQL DB
Hands on with Unit testing Dynamic and proactive with ability to work as part of a multi-disciplinary team
Good communications skills fluent in English
Ability to communicate effectively across different disciplines
Primary Skills (Good toHave)
Java, Spring Boot, Spring MVC, Restful Web Services, Micro Services
Education: B.Tech/B.E, BCA, MCA, MCS, etc. in Computers
Job Responsibilities -
- Creating engaging content and implementing strategic syndication across all our key social channels (SoMe and newsletter)
- Daily interaction with our Spice Village community on social media platforms in both English and German(using Google Translate)
- Monitoring of performance indicators such as impressions, clicks, views etc and creating reports for these KPIs
- Developing newsletter campaigns using MailChimp in both English and German
- Identifying user growth partnerships and being proactive for these partnerships
- Working with multiple internal stakeholders to develop beautiful brand-led content that’s appropriate for all social media platforms
- Complete a monthly competitor analysis
- Create Facebook ads and google ads based on the campaigns
- Implement unique Facebook ad strategies and experiment using A/B testing
- Monitor paid campaign performance using commonly used KPIs
- Create a better social media experience for our followers rather than just focusing on promotions
- Track customer journey for customers coming through Social Media (Organic and Paid)
-
Minimum 3 years experience in High Growth Company or Agency
-
A proven marketer who understands and has worked in a high functioning, high revenue eCommerce brand or Agency
-
Deep understanding of A/B testing, experimentation and eCommerce analysis
-
An expert in analyzing data and creating reports
-
An expert in Facebook Ads and Google Ads



Octro Inc. is looking for a Data Scientist who will support the product, leadership and marketing teams with insights gained from analyzing multiple sources of data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action.
They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights.
They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Responsibilities :
- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
- Mine and analyze data from multiple databases to drive optimization and improvement of product development, marketing techniques and business strategies.
- Assess the effectiveness and accuracy of new data sources and data gathering techniques.
- Develop custom data models and algorithms to apply to data sets.
- Use predictive modelling to increase and optimize user experiences, revenue generation, ad targeting and other business outcomes.
- Develop various A/B testing frameworks and test model qualities.
- Coordinate with different functional teams to implement models and monitor outcomes.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
Qualifications :
- Strong problem solving skills with an emphasis on product development and improvement.
- Advanced knowledge of SQL and its use in data gathering/cleaning.
- Experience using statistical computer languages (R, Python, etc.) to manipulate data and draw insights from large data sets.
- Experience working with and creating data architectures.
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
- Excellent written and verbal communication skills for coordinating across teams.




DataWeave provides Retailers and Brands with “Competitive Intelligence as a Service” that enables them to take key decisions that impact their revenue. Powered by AI, we provide easily consumable and actionable competitive intelligence by aggregating and analyzing billions of publicly available data points on the Web to help businesses develop data-driven strategies and make smarter decisions.
Data Science@DataWeave
We the Data Science team at DataWeave (called Semantics internally) build the core machine learning backend and structured domain knowledge needed to deliver insights through our data products. Our underpinnings are: innovation, business awareness, long term thinking, and pushing the envelope. We are a fast paced labs within the org applying the latest research in Computer Vision, Natural Language Processing, and Deep Learning to hard problems in different domains.
How we work?
It's hard to tell what we love more, problems or solutions! Every day, we choose to address some of the hardest data problems that there are. We are in the business of making sense of messy public data on the web. At serious scale!
What do we offer?
- Some of the most challenging research problems in NLP and Computer Vision. Huge text and image datasets that you can play with!
- Ability to see the impact of your work and the value you're adding to our customers almost immediately.
- Opportunity to work on different problems and explore a wide variety of tools to figure out what really excites you.
- A culture of openness. Fun work environment. A flat hierarchy. Organization wide visibility. Flexible working hours.
- Learning opportunities with courses and tech conferences. Mentorship from seniors in the team.
- Last but not the least, competitive salary packages and fast paced growth opportunities.
Who are we looking for?
The ideal candidate is a strong software developer or a researcher with experience building and shipping production grade data science applications at scale. Such a candidate has keen interest in liaising with the business and product teams to understand a business problem, and translate that into a data science problem. You are also expected to develop capabilities that open up new business productization opportunities.
We are looking for someone with 6+ years of relevant experience working on problems in NLP or Computer Vision with a Master's degree (PhD preferred).
Key problem areas
- Preprocessing and feature extraction noisy and unstructured data -- both text as well as images.
- Keyphrase extraction, sequence labeling, entity relationship mining from texts in different domains.
- Document clustering, attribute tagging, data normalization, classification, summarization, sentiment analysis.
- Image based clustering and classification, segmentation, object detection, extracting text from images, generative models, recommender systems.
- Ensemble approaches for all the above problems using multiple text and image based techniques.
Relevant set of skills
- Have a strong grasp of concepts in computer science, probability and statistics, linear algebra, calculus, optimization, algorithms and complexity.
- Background in one or more of information retrieval, data mining, statistical techniques, natural language processing, and computer vision.
- Excellent coding skills on multiple programming languages with experience building production grade systems. Prior experience with Python is a bonus.
- Experience building and shipping machine learning models that solve real world engineering problems. Prior experience with deep learning is a bonus.
- Experience building robust clustering and classification models on unstructured data (text, images, etc). Experience working with Retail domain data is a bonus.
- Ability to process noisy and unstructured data to enrich it and extract meaningful relationships.
- Experience working with a variety of tools and libraries for machine learning and visualization, including numpy, matplotlib, scikit-learn, Keras, PyTorch, Tensorflow.
- Use the command line like a pro. Be proficient in Git and other essential software development tools.
- Working knowledge of large-scale computational models such as MapReduce and Spark is a bonus.
- Be a self-starter—someone who thrives in fast paced environments with minimal ‘management’.
- It's a huge bonus if you have some personal projects (including open source contributions) that you work on during your spare time. Show off some of your projects you have hosted on GitHub.
Role and responsibilities
- Understand the business problems we are solving. Build data science capability that align with our product strategy.
- Conduct research. Do experiments. Quickly build throw away prototypes to solve problems pertaining to the Retail domain.
- Build robust clustering and classification models in an iterative manner that can be used in production.
- Constantly think scale, think automation. Measure everything. Optimize proactively.
- Take end to end ownership of the projects you are working on. Work with minimal supervision.
- Help scale our delivery, customer success, and data quality teams with constant algorithmic improvements and automation.
- Take initiatives to build new capabilities. Develop business awareness. Explore productization opportunities.
- Be a tech thought leader. Add passion and vibrance to the team. Push the envelope. Be a mentor to junior members of the team.
- Stay on top of latest research in deep learning, NLP, Computer Vision, and other relevant areas.

