11+ SAP Mobile Jobs in India

• Excellent communication and problem-solving skills,
• Strong analytical skills Ability to turn business requirements into technical concepts and code,
• Minimum 3 - 6 years experience in software development in general with 3 years in complex web applications using SAP UI5,
• Software architecture knowledge of enterprise applications is a must
• Experience with Web - Technologies (SAP UI5, HTML5, CSS3, JS, REST - WS) is a must
• Experience with SAP Mobile Platform as well as SAP Web IDE is a plus
• Knowledge and experience with user experience and design concepts is a plus

About PGAGI:

At PGAGI, we believe in a future where AI and human intelligence coexist in harmony, creating a world that is smarter, faster, and better. We are not just building AI; we are shaping a future where AI is a fundamental and positive force for businesses, societies, and the planet.

Role Overview:

We are seeking a Sales Intern with 6+ Months of experience in B2B IT/Tech/AI/AI Solutions sales and pre-sales activities. This is a remote role with company-provided leads. The candidate will be responsible for driving enterprise AI software sales, conducting solution presentations, and collaborating with technical teams to craft client-focused proposals.

Key Responsibilities:

• Drive B2B enterprise pre sales for AI and solutions, managing the end-to-end sales and pre-sales cycle.

• Engage with potential clients (company-provided leads) to understand business pain points and propose

AI-driven software solutions.

• Lead pre-sales activities, including product demonstrations, solution presentations, technical discussions,

and proof-of-concept (POC) design.

• Collaborate with the AI and technical teams to design custom solutions and respond to RFPs/RFIs.

• Prepare business and technical proposals, pricing models, and solution roadmaps.

• Build and maintain strong relationships with C-level executives and key decision-makers in enterprise accounts.

• Track, manage, and report pipeline and pre-sales activities using CRM tools.

• Meet or exceed monthly and quarterly B2B sales targets.

Requirements:

• 6 Months of experience in B2B IT/Tech/AI/Solution sales and pre-sales.

• Proven track record in solution selling or enterprise-level software sales.

• Solid understanding of AI, Solution development , or cloud-based solutions and their business applications.

• Exceptional presentation, negotiation, and proposal writing skills.

• Experience with consultative and solution-oriented sales for mid to enterprise clients.

• Familiarity with CRM tools (HubSpot, Salesforce, etc.) and sales automation.

• Bachelor’s degree in IT, Business, Engineering, or a related field.

What We Offer:

• Competitive salary + attractive performance incentives.

• Fully remote, flexible work environment.

• Opportunity to work with cutting-edge AI products.

• Career growth with a fast-scaling AI consultancy.

• Exposure to global B2B enterprise clients .

Stipend:

Upto 30,000/- (30% Base and 70% Variable)

#ITsales #B2BSsales #softwaresales #salesexecutive #ITb2bsale #AIsolutions #ITindustrysales #Techsalesexecutive #techsalesrole #aisoftwaresales

Job Title: Lead – Endpoint Security & Tooling

Location: Gurgaon

Experience Required: 8+ years

Job Type: Full-time

Position Summary

The Lead – Endpoint Security & Tooling plays a pivotal role in overseeing and optimizing a diverse array of endpoint security tools and technologies.

The Lead will spearhead the configuration, troubleshooting, and maintenance of security tools, develop and implement robust security policies, conduct in-depth threat intelligence analysis, design secure endpoint architectures, and assess and mitigate risks to endpoints.

Roles and Responsibilities

Expertise in Security Tools

• Lead the management and optimization of the Zscaler suite of applications, including Zscaler Internet Access (ZIA), Zscaler Private Access (ZPA), Browser Isolation, Firewall (Tunnel 2.0), Deception, and other endpoint security tools.
• Demonstrate proficiency in Microsoft Intune for advanced endpoint security management, encompassing policy configuration, device management, compliance enforcement, and performance optimization.
• Exhibit familiarity with Endpoint Detection and Response (EDR) solutions, encompassing advanced threat detection, configuration management, policy enforcement, and performance monitoring.
• Display proficiency in Application Control solutions for managing and controlling application execution on endpoints, including policy management and application behavior monitoring.

Endpoint Security Tooling Management

• Oversee the configuration, troubleshooting, and maintenance of security tools to ensure optimal performance and effectiveness.
• Conduct regular assessments and audits of endpoint security configurations.
• Stay updated with new releases, versions, changes, and breaking changes in Microsoft Intune and other endpoint security tools.
• Assess the impact of new releases and changes on endpoints and security policies.

Security Policy Development

• Lead the development and implementation of comprehensive endpoint security policies, configurations, and best practices.
• Ensure strict compliance with industry standards and regulations.

Secure Architecture Design

• Apply expert security architecture principles to design and implement highly secure endpoint architectures.
• Implement sophisticated network segmentation, access controls, and secure configurations for endpoints.

Risk Assessment and Mitigation

• Conduct comprehensive risk assessments for endpoints to identify potential risks and vulnerabilities.
• Lead the implementation of robust risk mitigation strategies and controls to reduce risks to endpoints.

Communication and Collaboration

• Collaborate seamlessly with cross-functional teams, including IT, security, compliance, and business stakeholders.
• Communicate complex technical concepts related to endpoint security effectively to non-technical audiences.

Continuous Learning and Adaptability

• Stay at the forefront of the latest trends, threats, and technologies in endpoint security.
• Adapt swiftly to the evolving security landscape and emerging threats in endpoint security.

Problem-solving and Critical Thinking

• Apply advanced problem-solving skills and critical thinking to analyze and resolve complex security issues related to endpoints.
• Lead the troubleshooting of endpoint security incidents and drive the development of innovative solutions.

Skills and Qualifications

What will you need to succeed?

• Bachelor’s degree in Computer Science, Information Technology, or a related field (Master’s degree preferred).
• Proven leadership experience (7+ years) in endpoint security management, including extensive expertise in Microsoft Intune and other endpoint security tools.
• Advanced understanding of endpoint security principles, technologies, and best practices.
• Familiarity with network security concepts, firewalls, VPNs, and secure web gateways.
• Outstanding analytical, problem-solving, and communication skills.
• Ability to lead collaboratively in a team environment, manage multiple projects simultaneously, and drive results effectively.
• Advanced skills in threat intelligence analysis, incident response, security architecture design, risk assessment, communication, continuous learning, adaptability, problem-solving, and critical thinking.

Good to Have Certifications (Preferred):

• Certified Information Systems Security Professional (CISSP)
• Certified Ethical Hacker (CEH)
• Certified Endpoint Security Professional (CESP)

What You Will be Doing

• Writing articles for the Merkle Science blog about breaking cybercrime news, regulatory updates and recent investigations conducted by our intelligence team.
• Developing and sharing daily content for company social media channels.
• Drafting and distributing company announcements and service updates.
• Compiling content for quarterly reports using data and research from our intelligence team.
• Identifying and acquiring content syndication agreements with relevant online media channels.
• Monitoring content marketing performance using website, blog, social media and SEO analytics tools.
• Creating presentation materials for sales, education and thought leadership events and engagements.
• Suggesting improvements to content marketing activities.
• Proposing new topics for reports and articles.

What Your Background Might Look Like

• Native-level English (both written and spoken)
• More than five years of journalism or content marketing experience.
• Prior experience working at an enterprise technology company in a content marketing role or a fast-paced newsroom or marketing agency environment is desirable.
• Prior knowledge and experience/interest in one or more of the following domains is preferred: financial services, cybersecurity, regulatory technology, blockchain and cryptocurrency
• Experience working with or for international companies and individuals from a variety of cultural backgrounds

What Personal Traits You Will Need to Succeed in This Role?

• Great at writing - able to create compelling content with minimal direction based on thorough research and rigorous self-editing
• Self-starter - able to work remotely and independently while maintaining high energy and motivation
• Creative problem solver, results-driven and self-motivated
• Well organised with the ability to prioritise workload and use time effectively especially when juggling multiple deadlines
• Ability to handle changing requirements and unforeseen challenges rapidly and positively

Who We Are and What We Do

Merkle Science provides blockchain transaction monitoring and intelligence solutions for cryptoasset service providers, financial institutions and government agencies to detect, investigate and prevent money laundering, terrorist financing and other criminal activities. Merkle Science is headquartered in Singapore with offices in Bangalore and Tokyo and backed by Digital Currency Group, Kenetic, SGInnovate and LuneX.

Merkle Science is currently searching for an experienced Content Marketing professional to help boost the firm’s inbound marketing and thought leadership activities.

What You Will be Doing

• Writing articles for the Merkle Science blog about breaking cybercrime news, regulatory updates and recent investigations conducted by our intelligence team.
• Developing and sharing daily content for company social media channels.
• Drafting and distributing company announcements and service updates.
• Compiling content for quarterly reports using data and research from our intelligence team.
• Identifying and acquiring content syndication agreements with relevant online media channels.
• Monitoring content marketing performance using website, blog, social media and SEO analytics tools.
• Creating presentation materials for sales, education and thought leadership events and engagements.
• Suggesting improvements to content marketing activities.
• Proposing new topics for reports and articles.

What Your Background Might Look Like

• Native-level English (both written and spoken)
• More than five years of journalism or content marketing experience.
• Prior experience working at an enterprise technology company in a content marketing role or a fast-paced newsroom or marketing agency environment is desirable.
• Prior knowledge and experience/interest in one or more of the following domains is preferred: financial services, cybersecurity, regulatory technology, blockchain and cryptocurrency
• Experience working with or for international companies and individuals from a variety of cultural backgrounds

What Personal Traits You Will Need to Succeed in This Role?

• Great at writing - able to create compelling content with minimal direction based on thorough research and rigorous self-editing
• Self-starter - able to work remotely and independently while maintaining high energy and motivation
• Creative problem solver, results-driven and self-motivated
• Well organised with the ability to prioritise workload and use time effectively especially when juggling multiple deadlines
• Ability to handle changing requirements and unforeseen challenges rapidly and positively

Responsibilities:

• Identify relevant data sources - a combination of data sources to make it useful.
• Build the automation of the collection processes.
• Pre-processing of structured and unstructured data.
• Handle large amounts of information to create the input to analytical Models.
• Build predictive models and machine-learning algorithms Innovate Machine-Learning , Deep-Learning algorithms.
• Build Network graphs , NLP , Forecasting Models Building data pipelines for end-to-end solutions.
• Propose solutions and strategies to business challenges. Collaborate with product development teams and communicate with the Senior Leadership teams.
• Participate in Problem solving sessions

Requirements:

• Bachelor's degree in a highly quantitative field (e.g. Computer Science , Engineering , Physics , Math , Operations Research , etc) or equivalent experience.
• Extensive machine learning and algorithmic background with a deep level understanding of at least one of the following areas: supervised and unsupervised learning methods , reinforcement learning , deep learning , Bayesian inference , Network graphs , Natural Language Processing Analytical mind and business acumen
• Strong math skills (e.g. statistics , algebra)
• Problem-solving aptitude Excellent communication skills with ability to communicate technical information.
• Fluency with at least one data science/analytics programming language (e.g. Python , R , Julia).
• Start-up experience is a plus Ideally 5-8 years of advanced analytics experience in startups/marquee com

Required Skills:

Machine Learning, Deep Learning, Algorithms, Computer Science, Engineering, Operations Research, Math Skills, Communication Skills, SAAS Product, IT Services, Artificial Intelligence, ERP, Product Management, Automation, Analytical Models, Predictive Models, NLP, Forecasting Models, Product Development, Leadership, Problem Solving, Unsupervised Learning, Reinforcement Learning, Natural Language Processing, Algebra, Data Science, Programming Language, Python, Julia

About the Role

The following Job Specification is intended to reflect the nature, range and context of the work. It identifies the main requirements of the job but is not an exhaustive list of duties.

The Data Analyst role is a vital role as to be a sole point of contact responsible for closely working with various teams internally and closely working with the CTO.  This role typically requires the resource to analyse the vast number of datasets and provide a meaningful impact and the result of such data with combination of growth of the company to the management. The role handles large responsibilities of closely communicating with other departments, thus must be someone who really loves his role.

Job Description

• Interpret data, analyze results using statistical techniques and provide ongoing reports
• Develop and implement, data analytics and other strategies that optimize statistical efficiency and quality
• Strong experience at working on databases and good at analytical reasoning
• Acquire data from Finance, Technology, Marketing and Sales data sources and maintain data systems
• Identify, analyze, and interpret trends or patterns in complex data sets
• Should be able to highlight Incorrect data and record the pattern of Drawbacks relating to the cleansing of data modules
• Must be involved in reconciliation of data sets and components across verticals depending on the need
• Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
• Work with the management to prioritize business and information needs
• Locate and define new process improvement opportunities

Required Skills:

• Proven working experience as a data analyst or business data analyst
• Sound experience in MySQL, Postgres, Oracle databases and fluent in SQL scripts
• https://resources.workable.com/data-scientist-analysis-interview-questions">Technical expertiseregarding data models, database design development, data mining and segmentation techniques
• Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks)
• Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
• Strong https://resources.workable.com/analytical-skills-interview-questions">analytical skillswith the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Adept at queries, report writing and presenting findings
• BS in Mathematics, Economics, Computer Science, Information Management or Statistics