Our client is the industry-leading provider of AI Assisted Conversational messaging
solutions. They help Professionals and Institutes such as Doctor, Lawyers and Hospitals and
Education Institutes drive consumer experience over text messaging channels like SMS/
Whatsapp in their Enquiry management and Customer support processes. As a forward-
thinking global company, it continues to innovate and develop cutting-edge technologies like
Conversational AI, Chatbots, and Omnichannel solutions that redefine how businesses
digitally communicate with their customers. They integrate with Top CRMs like Salesforce,
Zoho, Hubspot among others to drive engagement in key moments, and have acquired 5000
customers across SMB’s and Mid-market (from small Professional Doctors and lawyers to
large global staffing companies and large insurance companies).
As the Director of Sales, you will play a pivotal role in driving business growth by engaging,
winning, and retaining customers for their messaging solutions. Their approach emphasizes
consultative selling, supported by cutting-edge sales tools across the entire funnel. Key
responsibilities include building and leading a sales team in India, achieving ambitious sales
targets, managing a pipeline of prospects, and forecasting performance with precision.
Key Responsibilities:
● Sales Team Leadership: Build and lead a high-performing sales team, ensuring the
achievement of a sales targets
● Pipeline Management: Develop and manage a robust pipeline of prospects to
consistently deliver positive results.
● Forecasting Accuracy: Provide accurate monthly and quarterly performance
forecasts, maintaining a 10-20% margin of error from actual bookings.
● Collaboration with Customer Success and Development Teams: Work closely
with customer success and development teams to meet customer requirements
effectively.
● Market Insights and Playbooks: Collaborate with the US-based VP Marketing to
identify market opportunities, work with large/medium customers and partners, and
create relevant sales playbooks and collaterals.
● Customer Engagement: Understand customer sales and marketing processes,
provide consultancy on best messaging programs, and evangelize company’s
solutions.
● Ensure the team is able to generate their own leads to meet assigned quotas.
What we need:
● Minimum 12+ years hands-on prior work experience with SaaS sales
● Prefer at least 6-8 years successfully running a sales organization (team)
● Willingness to work in US shift timing- 7pm- 4am IST.
● Love crushing goals and quotas
● Ability to live, eat and breathe data and insights. You should also be able to look at
Customer’s dashboard and make sense of what’s happening - which campaigns are
performing, who are their most responsive sales guys etc.
● Agile, Nimble, and energetic - These are the hallmarks of a magician. Nimble but
long-term planning, quick and agile execution which can be measured on a day-to-
day basis.
● Breathes Customers - Extremely customer centric and willingness to go that extra
mile to win a customer and more importantly woo them. This is their Core Value and
they want the DoS to exhibit it aplenty.
● Self-starter, motivated individual - who can work alone and create an impact
● Strong team player - Ability to work with cross geographical teams and in different
time zones.
Company Benefits:
● Attractive Salary: Enjoy a generous fixed compensation that recognizes your
expertise and leadership.
● Performance-based Incentives: Your contributions and achievements will be
rewarded through performance-based incentives, reflecting the value you bring to the
organization.
● Bonus Compensation: Standout performance may lead to additional bonuses
through the reward process, recognizing your exceptional contributions.
● Comprehensive Insurance Coverage: Group medical insurance for you, your
spouse, and two children, along with personal accidental insurance.
● Shift Allowance: Additional compensation is offered for specific shifts, ensuring that
you are fairly rewarded for your commitment and dedication.
● Employee Wellness: Well-being of employees is at the forefront. Work in an
environment that promotes a healthy work-life balance, allowing you to excel in both
your professional and personal life.
● Experience of a lifetime:
○ The freedom and flexibility to handle your role in a way that’s right for you
○ Gain exposure to a dynamic and growing global business environment
○ Exposure to innovative and cutting-edge technology and tools
○ Scope to showcase one’s analytical capabilities and make high impact
contributions to Business teams
Shubham Vishwakarma
Full Stack Developer - Averlon
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Amazon Web Services (AWS)
PythonJob Type : Contract
Location : Bangalore
Experience : 5+yrs
The role focuses on cloud security engineering with a strong emphasis on GCP, while also covering AWS and Azure.
Required Skills:
- 5+ years of experience in software and/or cloud platform engineering, particularly focused on GCP environment.
- Knowledge of the Shared Responsibility Model; keen understanding of the security risks inherent in hosting cloud-based applications and data.
- Experience developing across the security assurance lifecycle (including prevent, detect, respond, and remediate controls)?Experience in configuring Public Cloud native security tooling and capabilities with a focus on Google Cloud Organizational policies/constraints, VPC SC, IAM policies and GCP APIs.
- Experience with Cloud Security Posture Management (CSPM) 3rd Party tools such as Wiz, Prisma, Check Point CloudGuard, etc.
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- Deep understanding of DevOps processes and workflows.
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Software Test Engineer (Manual & Automation)
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Responsibilities:
1. Develop and execute test cases, scripts, plans, and procedures (manual and automated) to ensure the quality of software products
2. Identify, record, document thoroughly, and track bugs
3. Perform thorough regression testing when bugs are resolved
4. Collaborate with cross-functional teams to ensure quality throughout the software development life cycle
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CC++With over 40 years of innovation, Quantum's end-to-end platform is uniquely equipped to orchestrate protect, and enrich data across its lifecycle, providing enhanced intelligence and actionable insights. Leading organizations in cloud services, entertainment, government, research, education, transportation, and enterprise IT trust Quantum to bring their data to life, because data makes life better, safer, and smarter. Quantum is listed on Nasdaq (QMCO) and the Russell 2000® Index. For more information visit www.quantum.com.
As a Software Engineer, you will collaborate with engineers and product managers on the development and maintenance of Quantum’s DXi-Series of disk-based backup appliance software. Quantum’s DXi series protects our customers data on premises, in the cloud, or in a hybrid environment.
You Are A Part Of:
DXi is a uniquely powerful solution within the Quantum portfolio, allowing customers to meet and exceed their backup needs with one of the fastest products on the market. You’ll work on a product that allows customers to reduce costs, maximize production, scale with ease, and positively impact the environment by reducing power and cooling requirements.
Job Responsibilities:
Responsibilities include, but are not limited to:
• Write code primarily for Linux systems, with programming languages including Python, C, C++, and Perl.
• Design and build differentiating feature sets that continue to expand product capabilities, both on premises and in the cloud.
• Work with development, test, service, and support engineers to develop tactical solutions for customer issues.
• May design and develop automated test suites.
• May maintain lab equipment.
Required Skills and/or Experience:
• Bachelor’s degree in Computer Science, Information Technology, or related field of study required.
• 5-10 years related industry experience required.
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• 3-5 years’ experience working in a Linux environment is required.
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Skill sets
Having Hands on experience in designing and development of e-commerce applications using hybris 5.X framework.
Possess Extensive Experience working with Spring frameworks including Spring Core, Spring MVC, Spring Security and Spring Integration.
Experience developing hybris web-based, e- commerce applications in a project-based environment.
Expertise in Core Java, web technologies like J2EE, JPA, JDBC, JSP, Hibernate, Servlets, JMS, Web Services(SOAP, WSDL, REST, JAX-WS, JAX- RS), JavaScript, Java Beans, Log4j, CSS, JUnit, Batch Programming, Unix shell scripting and Oracle.
Experience in or equivalent experience in tools and softwares like Eclipse, RedHat Developer, Weblogic, JBoss, Websphere App Server, Apache tomcat, HP Quality Center, SQL DB Access tool
Should be well acquainted with J2EE design patterns like GOF, Composite, Decorator, Facade, MVC, Singleton pattern, etc.
Extensive experience with Spring modules like IoC, Web, MVC, ORM, AOP, Spring Annotation
Knowhow on tools
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Knowhow on methodologies
- Agile
- Scrum
- Experience in B2B or B2C e-commerce applications
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- Possess In-depth experience in Full Life Cycle Implementations, Re- implementation and Post Implementation Support of Hybris application.
- Possess experience with hybris data & Product modelling, Flexible search using hybris APIs
- Have the experience in developing responsive GUI components using HTML, CSS, JavaScript,
JSTL and AJAX.
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across disparate systems
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Data Science
R ProgrammingPython
Machine Learning (ML)- Extract and present valuable information from data
- Understand business requirements and generate insights
- Build mathematical models, validate and work with them
- Explain complex topics tailored to the audience
- Validate and follow up on results
- Work with large and complex data sets
- Establish priorities with clear goals and responsibilities to achieve a high level of performance.
- Work in an agile and iterative manner on solving problems
- Evaluate different options proactively and the ability to solve problems in an innovative way. Develop new solutions or combine existing methods to create new approaches.
- Good understanding of Digital & analytics
- Strong communication skills, orally and in writing
Job Overview:
As a Data Scientist, you will work in collaboration with our business and engineering people, on creating value from data. Often the work requires solving complex problems by turning vast amounts of data into business insights through advanced analytics, modeling, and machine learning. You have a strong foundation in analytics, mathematical modeling, computer science, and math - coupled with a strong business sense. You proactively fetch information from various sources and analyze it for better understanding of how the business performs. Furthermore, you model and build AI tools that automate certain processes within the company. The solutions produced will be implemented to impact business results.
Primary Responsibilities:
- Develop an understanding of business obstacles, create solutions based on advanced analytics and draw implications for model development
- Combine, explore, and draw insights from data. Often large and complex data assets from different parts of the business.
- Design and build explorative, predictive- or prescriptive models, utilizing optimization, simulation, and machine learning techniques
- Prototype and pilot new solutions and be a part of the aim of ‘productizing’ those valuable solutions that can have an impact at a global scale
- Guides and coaches other chapter colleagues to help solve data/technical problems at an operational level, and in methodologies to help improve development processes
- Identifies and interprets trends and patterns in complex data sets to enable the business to make data-driven decisions
Designation – Tech Architect
|
Brief Summary of the Role: |
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Oversee IT assignments that are aimed at improving the business, and ensuring that projects run smoothly |
|
Review business structures in order to ensure the proper flow and functionality of projects |
|
Provide technical assistance to resources |
|
Detailed Roles & Responsibilities |
|
1. To define an ongoing architectural strategy for the business |
|
2. To define an architectural road map for the business that supports the product road map |
|
3. To identify organization's needs and breaking large system requirements down into manageable parts for proper execution |
|
4. To produce a detailed technical design document to match the solution design specifications |
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5. To explain the structure to the designers and developers, and helping them to build it |
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6. To develop and carry out acceptance testing procedures to make sure systems are working properly |
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7. To ensure system meets quality standards |
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8. To advise senior project managers about how to plan their future IT needs. |
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9. To manage multiple development designs and projects to meet project and customer required time lines. |
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10. To maintain an awareness of what competitors in the market are performing and using it to inform the technical road map |
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11. To provide architectural oversight to the team, acting as the ultimate design authority on significant technical decisions |
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12. To provide a focal point for all technical issues and initiatives on the project |
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13. To ensure that all components of the technical architecture are properly implemented. |
Skills – Salesforce
Qualification – BE/ BSC/ BTECH
Experience – 12- 15 Years
Data Science
Deep LearningPythonJob Description
We are looking for a data scientist that will help us to discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products.
Responsibilities
- Selecting features, building and optimizing classifiers using machine learning techniques
- Data mining using state-of-the-art methods
- Extending company’s data with third party sources of information when needed
- Enhancing data collection procedures to include information that is relevant for building analytic systems
- Processing, cleansing, and verifying the integrity of data used for analysis
- Doing ad-hoc analysis and presenting results in a clear manner
- Creating automated anomaly detection systems and constant tracking of its performance
Skills and Qualifications
- Excellent understanding of machine learning techniques and algorithms, such as Linear regression, SVM, Decision Forests, LSTM, CNN etc.
- Experience with Deep Learning preferred.
- Experience with common data science toolkits, such as R, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable
- Great communication skills
- Proficiency in using query languages such as SQL, Hive, Pig
- Good applied statistics skills, such as statistical testing, regression, etc.
- Good scripting and programming skills
- Data-oriented personality
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon