Benefits:

• Professional development reimbursement

• Paid leaves for new parents

• Health insurance for employees and dependents

• COVID-19 insurance for employees and dependents

• Employee stock options, flexible work hours, and paid time off

Benefits:

• Professional development reimbursement

• Paid leaves for new parents

• Health insurance for employees and dependents

• COVID-19 insurance for employees and dependents

• Employee stock options, flexible work hours, and paid time off

Benefits:

• Professional development reimbursement

• Paid leaves for new parents

• Health insurance for employees and dependents

• COVID-19 insurance for employees and dependents

• Employee stock options, flexible work hours, and paid time off

Benefits:

• Professional development reimbursement

• Paid leaves for new parents

• Health insurance for employees and dependents

• COVID-19 insurance for employees and dependents

• Employee stock options, flexible work hours, and paid time off

Benefits:

• Professional development reimbursement

• Paid leaves for new parents

• Health insurance for employees and dependents

• COVID-19 insurance for employees and dependents

• Employee stock options, flexible work hours, and paid time off

Benefits:

• Professional development reimbursement

• Paid leaves for new parents

• Health insurance for employees and dependents

• COVID-19 insurance for employees and dependents

• Employee stock options, flexible work hours, and paid time off

Education Requirements:

• MBA

Experience Requirements:

• 8 to 12 years

Other Requirements:

• Strategic and analytical mindset

• Strong problem-solving skills

• Effective leadership, organizational, and communication skills

• Experience of working on AI SaaS products

Responsibilities:

• accelerate the growth of sales

• Own all plans and strategies for developing business and achieving the company’s business goals

• Collaborating with the leadership team to set revenue goals and company strategy and implementing a sales plan to drive revenue growth and attending key events to grow business

• Assists in the development of the sales plan

• Land and expand – build process and funnel for manual top-down reach out, onboarding, activation, and expansion

Education Requirements:

• BE/MBA /PG (Statistics)

Experience Requirements:

• 2-6 years

Other Requirements:

• 2-6 years hands on experience in Core Python with any framework (Flask/Django) building end to end applications development

• Experience in Mongo (or any Nosql)

• Experience in client coordination

• Experience in Nodejs

• Experience in Web technologies-HTML, CSS, Javascript

• Database-SQL Server/My SQL/ No SQL database

• Good understanding of Algorithms, data structures

Experience Requirements:

• Results-driven, self-sufficient, and self-motivated individual with a strong commitment to sales excellence

• Preferably from Cybersecurity/ Privacy industry

• Strong consultative selling skills and disciplined sales process

• Proven track record of achievement against sales quota targets

• Demonstrate ability to connect with executives to engage, negotiate, and win new relationships in the market

Other Requirements:

• Strong collaboration skills to engage both external partners and internal teams

• Excellent written and oral communication skills

• Team player with a positive attitude and good customer service skills

• High levels of self-motivation, adaptability, ease of handling multiple responsibilities, and ability to work on own with minimal supervision

Responsibilities:

• Business Planning: Create and execute business and account plans, focusing on solution-based selling to target enterprises to meet sales goals

• End-to-End Sales Process: Manage all aspects of the sales cycle, from prospecting to close to upsell

• Consultative Selling: Engage prospects in a consultative sales process around Mage Data as part of their core security infrastructure and operations

• Big Deals: Own and drive strategic sales opportunities at complex enterprise accounts, building on existing wins and sales pipeline

• Pipeline Building: Work with marketing, strategic alliances, local resellers, and your network to identify the best leads and prospects and develop and qualify your sales pipeline

Experience Requirements:

• 2-5 Years

Other Requirements:

• Effective communication and interpersonal skills

• Willing to travel for assignments

Responsibilities:

• Deep technical expertise and hand on experience in Java, Web Development, Spring Boot, Hibernate, Microservices

• Experience with RDBMS, Rest API.

• Good knowledge of client/server architecture

• Good understanding of multi-threaded application development, design patterns

• Exposure to Jenkins”, “Exposure to Product Development Life Cycle”,

Experience Requirements:

• 15-20yrs

Other Requirements:

• Expertise in AML compliance and anti-fraud solutions

• Worked as Sr. Business Analyst/ SME for Compliance Solutions

• Experience of Industry standards/ multi geographies/countries for the compliance

• Worked in top AML Solutions providers

• Experience of Product Management, drafting roadmaps

• Strong communication, presentation, and demonstration skills

Responsibilities:

• Expertise in AML compliance and anti-fraud solutions.

• Worked as Sr. Business Analyst/ SME for Compliance Solutions.

• Experience of Industry standards/ multi geographies/countries for the compliance.

• Worked in top AML Solutions providers.

• Experience of Product Management, drafting roadmaps.

Benefits:

• Opportunity to work on cutting-edge data and AI projects

• Collaborative and innovative work environment

• Competitive salary and benefits package

• Professional growth and development opportunities

Education Requirements:

• Bachelor’s degree in Business Administration, Management, or a related field

Experience Requirements:

• 10+ years; hands-on

• 7+ years of experience managing IT or data platform projects, with at least 2 years focused on cloud-based data platforms like Databricks, AWS, Azure, or GCP

• 4+ years experience in data engineering, data architecture, data platforms & analytics

• At least 3+ years experience with Databricks, PySpark, Python, and SQL

Other Requirements:

• Building microservices using Java/Spring boot/OAuth,OIDC2/REST/SOAP

• Enterprise Integration (Apache Camel), Spring Integrator, Mule/TIBCO/IIB

• Working experience in messaging technology – Kafka/IBM MQueue

• Cloud environment (preferably Azure or AWS)

• Containerization (Docker) & deployment (Kubernetes)

• DevOps (Jenkins/Gitlabs/Azure DevOps etc.)

• Exposure to DBMS technology such as SQL. MongoDB (NoSQL) would be a plus

• Strong in Engineering practices (ex: TDD/BDD, Unit Testing, SONARQube, CI-CD etc., )

• (Nice to have) Strong Knowledge using Transformation Tools, like XSLT

• Consulting / customer facing experience, working with external clients across a variety of industry markets

• Comfortable writing code in both Python and SQL

• Proficiency in SQL and experience with data warehousing solutions

• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one

• Strong understanding of data modeling, ETL processes, and data architecture principles

• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals

• Familiarity with CI/CD for production deployments – GitHub, Azure DevOps, Azure Pipelines

• Working knowledge of MLOps methodologies

• Design and deployment of performant end-to-end data architectures

• Experience with technical project delivery – managing scope and timeline

• Experience working with clients and managing conflicts

• Good to have Databricks Certifications

• Strong communication and collaboration skills

• Ability to travel up to 30% when needed

• Familiarity with Databricks, Spark, or similar big data frameworks

• Understanding of data engineering, machine learning workflows, and cloud infrastructure

• Proven track record in managing multiple projects simultaneously, adhering to deadlines and budgets

• Strong understanding of Agile, Scrum, and Waterfall methodologies

• Experience working with data governance, analytics, or AI/ML projects

• Familiarity with Databricks features such as Delta Lake, MLflow, and Unity Catalog

• Understanding of data integration tools like Apache Airflow, Informatica, or Talend

Responsibilities:

• Design, develop, deliver and maintain shared engineering platforms, products and solutions

• Contribute to design and standards that will enable the development team to produce highly functional, sustainable, scalable and high performing solutions meeting or exceeding customer expectations

• Collaborate with business teams, other technical leaders, software engineers, architects in order to identify the right architecture and design while developing software platforms, products and solutions

• Communicate software architecture & design ideas effectively to other software engineering staff members through code and textual and pictorial documentation as needed

• Assume Ownership and Accountability of the work delivered by the Team

Experience Requirements:

• 5-12 years of hands-on Analytics experience

Experience Requirements:

• 10-15 Years of work in Marketing, Sales, Product Management, and Client Success Teams in tandem to scope and shape GTM solutions