Sales Executive

Strong sales executive profile

Mandatory (Experience 1): Must have 7+ years of hands-on B2B sales experience, preferably selling SaaS products or platforms

Mandatory (Experience 2): Must have experience in doing end to end Hunting / New Business Acquisition, including prospecting, pitching, negotiation, and deal closure

Mandatory (Experience 3): Must have experience of managing the complete sales cycle independently — research, outreach, client meetings, solution pitching, proposal handling, and closing.

Mandatory (Experience 4): Strong communication, presentation, negotiation, and objection-handling skills with experience engaging with mid to senior-level stakeholders

Mandatory (Experience 5): Experience in pipeline building & CRM usage, maintaining accurate forecasts, sales funnel tracking, and performance reporting.

Mandatory (Company): B2B SaaS Product companies

Inside Sales – USA & Middle East (Outcome Driven Role)

Part-time | Lead Generation + Cold Calling + Demo Booking

Incentives: Per Demo + Sales Closure Bonus

We’re hiring an Inside Sales Specialist who can generate qualified leads, run cold outreach, and book product demos for our AI preconstruction platform (USA & Middle East only). This is a pure outcome-driven role — your earnings grow with every demo completed and every sale closed.

What You’ll Do

• Run daily cold calls, email outreach, LinkedIn touches
• Build a steady pipeline of qualified prospects
• Book demos for the founder/sales team
• Follow up until the meeting happens
• Keep CRM updated with notes & outcomes

What We’re Looking For

• Strong communication in English
• Experience in B2B SaaS or construction tech (bonus)
• High ownership, hunger for results, ability to work independently
• Comfortable with outbound calling across US & Middle East time zones

Compensation

• Incentive per booked + completed demo [1K -3K INR]
• Bonus on each sales closure [5K -10K INR]

If you’re driven by clear targets and outcome-based earnings, this role is built for you.

Job Title: AWS-Azure Data Engineer with Snowflake

Location: Bangalore, India

Experience: 4+ years

Budget: 15 to 20 LPA

Notice Period: Immediate joiners or less than 15 days

Job Description:

We are seeking an experienced AWS-Azure Data Engineer with expertise in Snowflake to join our team in Bangalore. As a Data Engineer, you will be responsible for designing, implementing, and maintaining data infrastructure and systems using AWS, Azure, and Snowflake. Your primary focus will be on developing scalable and efficient data pipelines, optimizing data storage and processing, and ensuring the availability and reliability of data for analysis and reporting.

Responsibilities:

1. Design, develop, and maintain data pipelines on AWS and Azure to ingest, process, and transform data from various sources.
2. Optimize data storage and processing using cloud-native services and technologies such as AWS S3, AWS Glue, Azure Data Lake Storage, Azure Data Factory, etc.
3. Implement and manage data warehouse solutions using Snowflake, including schema design, query optimization, and performance tuning.
4. Collaborate with cross-functional teams to understand data requirements and translate them into scalable and efficient technical solutions.
5. Ensure data quality and integrity by implementing data validation, cleansing, and transformation processes.
6. Develop and maintain ETL processes for data integration and migration between different data sources and platforms.
7. Implement and enforce data governance and security practices, including access control, encryption, and compliance with regulations.
8. Collaborate with data scientists and analysts to support their data needs and enable advanced analytics and machine learning initiatives.
9. Monitor and troubleshoot data pipelines and systems to identify and resolve performance issues or data inconsistencies.
10. Stay updated with the latest advancements in cloud technologies, data engineering best practices, and emerging trends in the industry.

Requirements:

1. Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
2. Minimum of 4 years of experience as a Data Engineer, with a focus on AWS, Azure, and Snowflake.
3. Strong proficiency in data modelling, ETL development, and data integration.
4. Expertise in cloud platforms such as AWS and Azure, including hands-on experience with data storage and processing services.
5. In-depth knowledge of Snowflake, including schema design, SQL optimization, and performance tuning.
6. Experience with scripting languages such as Python or Java for data manipulation and automation tasks.
7. Familiarity with data governance principles and security best practices.
8. Strong problem-solving skills and ability to work independently in a fast-paced environment.
9. Excellent communication and interpersonal skills to collaborate effectively with cross-functional teams and stakeholders.
10. Immediate joiner or notice period less than 15 days preferred.

If you possess the required skills and are passionate about leveraging AWS, Azure, and Snowflake to build scalable data solutions, we invite you to apply. Please submit your resume and a cover letter highlighting your relevant experience and achievements in the AWS, Azure, and Snowflake domains.

Behavioural Scientist

Cubera is a data company revolutionizing big data analytics and Adtech through data share value principles wherein the users entrust their data to us. We refine the art of understanding, processing, extracting, and evaluating the data that is entrusted to us. We are a gateway for brands to increase their lead efficiency as the world moves towards web3.

What You'll Do:

• Work with Data Scientists to evolve patterns of Human behavioural traits and participate in Profile Building.
• Contribute to the Visual, Textual, Audio and other forms of Inquiry to determine the behavioural traits and develop various personas.
• Apply Human psychological theories to practice
• Help Develop psychographic inquiry based system to understand the users.
• To Develop Marketing Psychology patterns to gage buyer behaviour by banking on
• cognitive biases.
• To Develop CPM or HEM approaches appropriately to assist the marketing, sales and
• data science team.
• Impeccable grasp of the English language, including idioms and current trends in slang and expressions

What are we looking for (Competencies) :

• Should be a graduate in Psychology, Journalism/ Mass communication
• Should be aware about new age technologies
• Should know about New age user economy
• Impeccable grasp of the English language, including idioms and current trends in slang and expressions
• Should be able to clearly express views and articulate
• Clear understanding of psychographic tests
• Should have done survey frameworks

Benefits:

• Competitive Salary Packages and benefits
• Collaborative, lively and an upbeat work environment with young professionals

Job Category: Data Science

Job Type: Full Time

Job Location: Bangalore/Chennai

Primary/Essential Duties and Key Responsibilities:

• Proactively manage a portfolio of  customers once the implementation phase is completed
• Develop and build strong relationships with key customer stakeholders 
• Understand customers’ needs and priorities to optimize the use of the platform
• Identify new opportunities: up-sell, cross-sell, additional training
• Effectively communicate application features and product information for new releases and facilitate their adoption
• Be the voice of the customer and provide internal feedback on how we can better serve our customers
• Collaborate closely with various cross-functional teams (Product Management, R&D, Marketing and Sales) to drive better results
• Resolve billing and Support inquiries in a timely and productive manner
• Coordinate small customer projects

Required Qualifications: 

• Well-organized and excellent time management abilities
• Proven ability to collaborate and build strong relationships with customers especially at the Executive level
• Exceptional oral and written communication skills and attention to detail
• Minimum 4-5 years experience 

Travel Requirements:

We are hiring for Inside Sales Positions in Simplilearn.

Must to have skills:

• Excellent Oral communication Skill (English).

• Experience in Inside Sales / Telesales (candidates from edtech companies preferred).

   

Educational Qaulification: Graduation is a must.

Employee Value Proposition:

• Great growth and learning opportunity.

• Wonderful work environment.

• Internal Job Posting

• Free courses for employees

We are looking for applicants with a strong background in Analytics and Data mining (Web, Social and Big data), Machine Learning and Pattern Recognition, Natural Language Processing and Computational Linguistics, Statistical Modelling and Inferencing, Information Retrieval, Large Scale Distributed Systems and Cloud Computing, Econometrics and Quantitative Marketing, Applied Game Theory and Mechanism Design, Operations Research and Optimization, Human Computer Interaction and Information Visualization. Applicants with a background in other quantitative areas are also encouraged to apply.

We are looking for someone who can create and implement AI solutions. If you have built a product like IBM WATSON in the past and not just used WATSON to build applications, this could be the perfect role for you.

All successful candidates are expected to dive deep into problem areas of Zycus’ interest and invent technology solutions to not only advance the current products, but also to generate new product options that can strategically advantage the organization.

Skills:

• Experience in predictive modelling and predictive software development
• Skilled in Java, C++, Perl/Python (or similar scripting language)
• Experience in using R, Matlab, or any other statistical software
• Experience in mentoring junior team members, and guiding them on machine learning and data modelling applications
• Strong communication and data presentation skills

• Classification (svm, decision tree, random forest, neural network)
• Regression (linear, polynomial, logistic, etc)
• Classical Optimization(gradient descent, newton raphson, etc)
• Graph theory (network analytics)
• Heuristic optimisation (genetic algorithm, swarm theory)
• Deep learning (lstm, convolutional nn, recurrent nn)

Must Have:

• Experience: 3-9 years
• The ideal candidate must have proven expertise in Artificial Intelligence (including deep learning algorithms), Machine Learning and/or NLP
• The candidate must also have expertise in programming traditional machine learning algorithms, algorithm design & usage
• Preferred experience with large data sets & distributed computing in Hadoop ecosystem
• Fluency with databases