Cloud AI Sales Engineer Jobs in Mumbai

Senior Systems Engineer Pre-Sales Location: Mumbai Job Category: Systems Engineering Job Schedule: Full-Time Company Overview Join Fortinet, a global cybersecurity leader with over two decades of innovation. We are looking for a dynamic Senior Systems Engineer to act as the key technical partner to sales representatives in West India, supporting enterprise accounts across the full sales lifecycle. Key Responsibilities Pre-Sales Leadership: Qualify sales leads, lead pre-bid meetings, and respond to RFPs with technical solution proposals. Demonstration & POCs: Serve as the primary technical resource during sales calls and deliver Proof-of-Concepts (POCs) to demonstrate Fortinet solutions. Post-Sales Oversight: Act as the technical point of contact for assigned accounts, collaborating with SMEs and engineering to resolve complex issues. Channel & Partner Enablement: Train channel partners on Fortinet solutions and competitive differentiation while providing technical oversight. Consulting & Advisory: Develop complex system designs and presentations; contribute to case studies and white papers. Required Skills & Experience Security Expertise: Deep knowledge of SD-WAN, NG Firewall, SASE, WAF, ZTNA, and EDR/XDR. Operations Solutions: Experience with NOC/SOC solutions such as SIEM and SOAR. Cloud & Mobile: Familiarity with public/private cloud security and mobile core solutions (GiFW, CGN, SecGW). Hands-on Ability: Proven experience designing and implementing POCs using Fortinet products or competitive solutions. Communication: Strong consultative and presentation skills with a willingness to travel across India (~25%).

Manager Systems Engineering (Enterprise) Location: Mumbai Job Category: Systems Engineering Job Schedule: Full-Time Role Overview We are seeking a Seasoned Cybersecurity Leader to drive pre-sales strategy and technical vision across enterprise customers in India. This role requires deep cybersecurity expertise and the ability to engage directly with CXO-level stakeholders. You will lead a team of solution engineers and partner with sales leadership to influence the adoption of Fortinet s strategic cybersecurity solutions. Key Responsibilities Strategic Leadership: Lead enterprise pre-sales strategy for solutions including SD-WAN, SASE, ZTNA, SecOps, and Cloud Security. Technical Engagement: Drive customer engagements through workshops, whiteboarding, and POCs; translate complex challenges into tailored solutions. Stakeholder Management: Engage with CXOs and senior IT leadership to align security solutions with business objectives. Team Management: Build, mentor, and manage a team of top-tier pre-sales engineers, ensuring technical excellence and professional growth. Operations: Oversee RFP/RFI responses, solution design, and competitive positioning in collaboration with product and marketing teams. Market Intelligence: Monitor trends and the competitor landscape to enhance enterprise offerings. Required Skills & Qualifications Experience: 15+ years in cybersecurity pre-sales/solution consulting, with at least 3 years in a leadership role. Domain Expertise: Deep knowledge of Network Security, Cloud Security, Zero Trust, and OT (Operational Technology). Education: BS/MS in Computer Science or a related technical domain. Leadership: Proven ability to mentor and inspire technical teams while managing large strategic accounts. Certifications (Preferred): CISSP, CCSP, CCIE, or AWS/Azure Security credentials. Opportunity to shape cybersecurity strategy for top-tier enterprise accounts. A collaborative, leadership-focused role with high autonomy and accountability. Exposure to global teams and cutting-edge GenAI and security technologies. Qualification : BS/MS in Computer Science or a related technical domain

Position Title: Senior Vice President Data, AI & Cloud Location: Mumbai Department: Technology Role Overview We are seeking a visionary technology leader to serve as Senior Vice President Data, AI & Cloud, responsible for architecting and executing our enterprise-wide data, AI/ML, and cloud strategy. This is a transformative leadership role that combines deep technical expertise with strong business acumen to drive innovation, operational efficiency, and intelligent decision-making across the organization. You will lead platform modernization, enable large-scale AI/ML adoption, and optimize cloud infrastructure, all while building a culture where data and AI are embedded in everyday decision-making. The ideal candidate will be both a strategic thinker and a hands-on technologist capable of translating cutting-edge developments like generative AI and LLMs into practical enterprise applications. Key Responsibilities Strategic Leadership Define and implement a cohesive strategy across Data, AI/ML, and Cloud aligned with enterprise objectives. Drive AI democratization by embedding intelligence in core workflows and decision systems. Champion a data-driven, innovation-first culture across both business and technology teams. AI Advocacy & Adoption Act as the internal evangelist for AI leading awareness, education, and enablement initiatives. Partner with cross-functional teams (product, credit, operations, etc.) to co-create impactful AI solutions. Translate advanced AI technologies (LLMs, generative AI, agentic workflows) into scalable enterprise applications. AI/ML Delivery & Innovation Lead end-to-end development and deployment of AI/ML solutions across key areas: credit scoring, collections, fraud detection, automation, and customer insights. Promote the adoption of LLMs and generative AI to power personalization and intelligent decisioning systems. Institutionalize MLOps, Infrastructure-as-Code (IaC), and model observability practices. Data Platform & Governance Overhaul and modernize data architecture with real-time, scalable, cloud-native solutions. Establish and enforce robust data governance, data quality, privacy, and compliance practices (aligned with RBI and other regulatory norms). Cloud Infrastructure & Optimization Architect and maintain a secure, scalable, cost-optimized AWS environment. Implement best-in-class DevOps, Infrastructure-as-Code, and monitoring practices using tools like Terraform, Kubernetes, and Cloud-native observability suites. Team & Capability Building Build and lead high-performing teams across Data Engineering, ML Engineering, and Cloud Operations. Mentor and inspire talent to drive innovation and cross-functional collaboration. Technology Stack AI/ML: Python, TensorFlow, PyTorch, MLflow, LangChain, LLMs, Agentic Workflows Cloud (AWS): S3, EKS, ECR, Lambda, CloudWatch, CloudTrail, IAM, SageMaker, Bedrock Databases: RDBMS, Amazon Redshift, MongoDB DevOps & Infrastructure: Terraform, Kubernetes, CI/CD tools, ETL pipelines Desired Candidate Profile 12+ years of progressive experience in data engineering, AI/ML, and cloud infrastructure roles, with at least 5 years in a leadership capacity. Proven success in leading data platform modernization and delivering enterprise-scale AI solutions in regulated industries preferably financial services. Deep hands-on expertise with Python, ML frameworks (TensorFlow, PyTorch), MLOps tools (MLflow), and generative AI platforms (LangChain, LLMs). Strong understanding of financial data, credit models, risk analytics, and compliance requirements (including RBI regulations). Bachelor s or Master s degree in Computer Science, Data Science, Engineering, or a related field. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field

Engineering Manager Experience: 10+ Years Location: Mumbai Type: Full-Time About Fynd Fynd is India s largest omnichannel retail platform and a multi-platform technology company at the forefront of AI, ML, big data, and retail innovation. Serving over 2,300 brands, we offer a unified system that empowers businesses to streamline online and offline sales, manage inventory, enhance store operations, and elevate customer engagement. Role Overview We re looking for a dynamic Engineering Manager who can lead by example writing scalable, performant code while mentoring high-performing teams. Beyond traditional engineering leadership, we value individuals who embrace AI as a development accelerator, using tools like GitHub Copilot, Cursor, and ChatGPT to enhance productivity across coding, testing, and documentation. As an Engineering Manager at Fynd, you ll take ownership of end-to-end architecture, build web applications, and manage teams across backend and frontend technologies. You ll also play a key role in shaping our cloud-native infrastructure on AWS. Key Responsibilities Lead, mentor, and grow a team of backend and frontend engineers, encouraging innovation and ownership. Architect, design, and deliver scalable backend systems using Node.js and Python. Build responsive and secure frontend applications with React.js, ensuring seamless integration with backend services. Leverage AI tools (e.g., GitHub Copilot, GPT-4, Cursor) to accelerate development cycles scaffolding, testing, debugging, and documenting code. Manage cloud infrastructure on AWS including Lambda, EC2, S3, RDS, API Gateway, etc. Design and optimize databases with MongoDB and PostgreSQL, ensuring performance and reliability. Define and implement engineering best practices across CI/CD, code reviews, testing, security, and deployment. Collaborate cross-functionally with product managers, designers, and DevOps to ship impactful features. Proactively monitor system performance, troubleshoot production issues, and ensure high system availability. Stay on top of emerging technologies and trends to drive continuous improvement within the team and the organization. Requirements Bachelor s or Master s degree in Computer Science, Engineering, or a related field. 10+ years of hands-on software development experience, including 3+ years in engineering leadership. Expertise in Node.js, Python, and React.js. Strong experience in MongoDB, PostgreSQL, and scalable data modeling. Proven track record in cloud-native architecture and microservices, with hands-on AWS experience. Familiarity with DevOps practices, CI/CD pipelines, Docker, and Kubernetes. Excellent problem-solving skills and ability to make sound technical decisions. Strong communication, mentorship, and team-building skills. Experience in leading engineering teams in high-growth, fast-paced environments. Growth: We re growing fast across products, markets, and technologies. As a part of Fynd, you ll have opportunities to lead new initiatives, expand into leadership roles, and be part of a company that invests in your growth. Flex University & Learning Wallet: Access in-house courses to upskill or pursue external certifications with full reimbursement your learning is our priority. Culture: Team bonding, events, and celebrations are part of our rhythm weekly, quarterly, and annual. Wellness: Comprehensive Mediclaim for you, your spouse, kids, and parents. Access to licensed therapists to support mental health and work-life balance. Work Culture We work from our Mumbai office 5 days a week to foster collaboration and team synergy. If you re excited to build, lead, and innovate at the intersection of tech and AI we d love to meet you. Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field

Sr. Manager Business Collaboration Location: Mumbai Experience: 2 8 Years Company: Tata Communications Employment Type: Full-Time About Tata Communications At Tata Communications, we are redefining global connectivity through innovation and intelligence. From Cloud and Mobility to Internet of Things (IoT), Unified Collaboration, Security, Media, and Network Services, we are building the next generation of digital infrastructure to support the New World of Communications. Role Overview We are seeking a Senior Manager Business Collaboration to lead and grow our Unified Collaboration product portfolio. This role will be responsible for product strategy, lifecycle management, GTM planning, and driving profitable growth. You will define the product roadmap, manage cross-functional development, and ensure exceptional customer experiences through product enhancements and digital journeys. This is a tactical and strategic role with direct influence on mid-term business outcomes, driving revenue, profitability, and competitiveness in the Unified Collaboration space. Key Responsibilities Product Ownership: Define product requirements and manage development from concept to launch. Own the product roadmap, delivery, and enhancements. Customer Experience: Collaborate with IT and operations teams to streamline the digital customer journey and improve CSAT scores through process and system improvements. Go-to-Market Strategy: Develop and execute product plans including value proposition, pricing, positioning, promotions, packaging, and sales enablement. Performance Tracking: Monitor product P&L, revenue, profitability, and market competitiveness. Provide accurate forecasting and reporting of product performance. Sales Support: Equip sales teams with tools, training, and guidance to communicate product value. Define pricing guidelines and assist in special solutioning when needed. Market Intelligence: Analyze local market dynamics, customer needs, and competition to refine offerings and maintain a strong market position. Cross-functional Leadership: Collaborate with marketing, engineering, IT, operations, and finance to align strategy and execution. Optional People Management: May lead a small team or act as an individual contributor, depending on the scope. Minimum Qualifications & Experience Bachelor's degree in a relevant field (MBA preferred). 2 8 years of experience in product management, preferably in Unified Collaboration or Telecom domains. Desired Skill Sets Strong understanding of product strategy, planning, and execution. Experience in go-to-market strategy, pricing models, and product positioning. Commercial acumen with the ability to analyze P&L and market data. Strong knowledge of local markets and customer behavior. Solution-oriented mindset with an end-to-end product view. Excellent communication, presentation, and stakeholder management skills. Experience working across cross-functional teams including sales, marketing, engineering, and operations. Familiarity with digital platforms and creating seamless customer journeys is a plus. Be part of a leading global digital ecosystem enabler. Drive cutting-edge innovation in cloud, connectivity, and collaboration. Collaborate with visionary leaders and global teams. Accelerate your career with impactful, high-ownership roles. Qualification : Bachelor's degree in a relevant field (MBA preferred)

Engineer Information Technology (AIOps & Automation Engineer) Location: Mumbai Experience: 1 3 Years Company: Tata Communications Employment Type: Full-Time About Tata Communications Tata Communications is at the forefront of reimagining global connectivity through cutting-edge innovation. Our services power Cloud, IoT, AI, Collaboration, Security, and Network Solutions that redefine the digital experiences of businesses across industries. With a global footprint and a focus on driving intelligent transformation, we are building the New World of Communications. Job Profile: AIOps & Automation Engineer As an AIOps & Automation Engineer, you will play a critical role in transforming IT operations through automation, infrastructure scripting, and deployment of AI/ML-powered solutions. This is an individual contributor position with scope to lead small-scale operational projects and optimize system performance across platforms. Key Responsibilities Design, build, and manage infrastructure automation using Python, PowerShell, Bash, and Ansible. Deploy and maintain AIOps tools and platforms for proactive incident management and operational efficiency. Develop and manage CI/CD pipelines, supporting continuous integration and deployment. Implement and manage monitoring systems, such as Zabbix and other NMS tools. Maintain detailed infrastructure documentation including LLD/HLD. Assist in the design, security, and handover of infrastructure to operations teams. Independently resolve complex IT issues and contribute to operational improvements. Stay current with advancements in AI/ML, automation, and orchestration technologies. Technical Skill Requirements Proficiency in Python, PowerShell, and Bash scripting. Experience with Ansible, AWX, or similar automation tools. Familiarity with Zabbix or other network monitoring systems. Understanding of AI/ML concepts and practical exposure to related tools. Working knowledge of AIOps platforms and deployment practices. Hands-on with Linux, Windows Server, and basic Kubernetes. Experience in designing, documenting, and implementing IT infrastructure. Familiarity with CI/CD tools and pipeline methodologies. Certifications in relevant technologies are an added advantage. Qualifications B.Tech / B.E. or equivalent degree in Computer Science, IT, or a related field. 1 3 years of experience in IT Operations, with exposure to automation and AIOps. Strong analytical and problem-solving skills. Excellent documentation and communication abilities. What You ll Bring Passion for automation and digital transformation in IT infrastructure. Ability to independently manage tasks, take initiative, and troubleshoot complex issues. Flexibility to adapt and contribute in a fast-paced, evolving technical environment. A collaborative mindset with a focus on delivering reliable, scalable solutions. Be part of a future-forward tech ecosystem in one of India s most respected technology organizations. Work on next-generation automation and AIOps platforms shaping global IT operations. Collaborate with industry leaders and expand your skills in a learning-driven environment. Qualification : B.Tech / B.E. or equivalent degree in Computer Science, IT, or a related field

Deputy Vice President Data Science Location: Mumbai Function: Technology Digital and Data Sciences Employment Type: Full Time Experience: 9-10 years Key Responsibilities AI & Machine Learning: Design, develop, and deploy machine learning models for predictive analytics, natural language processing (NLP), computer vision, and recommendation systems. Lead end-to-end AI project lifecycles, including model validation, production deployment, and ongoing optimization using frameworks such as TensorFlow, PyTorch, and scikit-learn. Stay abreast of the latest advancements in Generative AI and foundational models, evaluating their applicability and integration within business solutions. Collaborate with cross-functional teams to identify AI use cases and deliver tangible business impact. Data Science & Analytics: Drive the entire analytics lifecycle, from data exploration and modeling to delivering actionable insights and developing data-driven products. Partner with data engineers and analysts to develop scalable, impactful solutions that support business objectives. Leadership & Strategy: Mentor and develop junior data science professionals, fostering a culture of continuous learning and innovation. Contribute to the organization s AI and cloud strategy by helping define the roadmap and setting long-term vision. Cloud Architecture & Engineering: Architect and design scalable, cloud-native AI and data platforms primarily on Google Cloud Platform (GCP), with knowledge of AWS and Azure as alternatives. Optimize data pipelines and machine learning workflows using cloud services such as Vertex AI, SageMaker, or Azure ML. Ensure the design and implementation of secure, cost-effective, and scalable architectures supported by robust CI/CD pipelines.

Deputy Vice President Data Science Location: Mumbai Function: Technology Digital and Data Sciences Employment Type: Full Time Role Overview We are seeking a seasoned and innovative Deputy Vice President Data Science to lead cutting-edge AI and data science initiatives. The ideal candidate will drive the development and deployment of machine learning models, architect cloud-native AI platforms, and guide strategic transformation through advanced analytics. This role requires strong leadership, deep technical expertise, and the ability to collaborate across business and technology teams to deliver measurable impact. Key Responsibilities AI & Machine Learning: Design, develop, and implement advanced machine learning models for predictive analytics, NLP, computer vision, and recommendation engines. Lead end-to-end AI project lifecycles, including model validation, productionization, and continuous optimization using frameworks like TensorFlow, PyTorch, and scikit-learn. Stay current with the latest developments in Generative AI, foundation models, and LLMs; evaluate and integrate them into solutions where applicable. Identify and prioritize AI use cases in collaboration with cross-functional teams to create business value. Data Science & Analytics: Lead the complete analytics lifecycle from data exploration and model building to insight generation and product deployment. Work closely with data engineers and analysts to develop scalable, high-impact solutions that influence business outcomes. Leadership & Strategy: Mentor and develop junior team members, promoting a culture of learning, experimentation, and excellence. Contribute to enterprise-wide AI and cloud strategies, including vision setting and roadmap development. Cloud Architecture & Engineering: Architect and implement cloud-native AI and data platforms on GCP (preferred), with working knowledge of AWS or Azure. Build and optimize scalable ML workflows and data pipelines using platforms like Vertex AI, SageMaker, or Azure ML. Ensure secure, scalable, and cost-effective infrastructure, supported by CI/CD pipelines and MLOps best practices. Required Skills & Qualifications Technical Proficiency: Strong coding skills in Python and SQL. Expert-level knowledge of ML frameworks: TensorFlow, PyTorch, Hugging Face, scikit-learn. Practical experience with Large Language Models (LLMs), vector databases, and Retrieval-Augmented Generation (RAG) techniques. Cloud & Engineering: Proficient in designing solutions on Google Cloud Platform (GCP); experience with AWS or Azure is a plus. Familiarity with data tools like BigQuery, Kafka, Snowflake. Strong knowledge of MLOps, including CI/CD pipelines, model monitoring, and A/B testing frameworks. Governance & Ethics: Solid understanding of data privacy, governance, and responsible AI principles.

Job Title: Enterprise Account Manager Location: Mumbai, India (Work from Office) Job Type: Full-Time Industry: Enterprise SaaS | Technology | CX Solutions About the Role We are seeking an experienced and highly motivated Enterprise Account Manager to manage and grow relationships with our high-value enterprise clients. This role is ideal for someone who is passionate about customer success, understands how to build C-level relationships, and can identify upselling and cross-selling opportunities to drive business growth. As a strategic partner to our enterprise customers, you will act as a trusted advisor, aligning their goals with our product solutions to deliver measurable impact. Key Responsibilities Own and manage a portfolio of enterprise customers, ensuring customer retention, growth, and satisfaction. Act as the primary point of contact for key stakeholders including C-suite executives. Collaborate cross-functionally with Sales, Marketing, Product, and Engineering to deliver client-focused solutions. Identify and execute opportunities for upselling, cross-selling, and account expansion. Develop and maintain account plans that align with the client s business goals and roadmap. Conduct regular QBRs (Quarterly Business Reviews) and business health checks. Lead contract renewals, negotiations, and ensure timely closures. Proactively address customer issues and escalations with a solution-oriented approach. Track and report key metrics such as retention, usage, CSAT, NPS, and revenue forecasts. Maintain accurate documentation and updates on CRM platforms. Requirements & Skills Master s Degree from a reputed institute. 8+ years of experience in Enterprise Account Management, Customer Success, or Strategic Sales. Demonstrated success in managing enterprise clients and delivering high-impact outcomes. Strong experience with SaaS, enterprise software, or customer experience platforms is highly preferred. Exceptional ability to communicate, present, and influence stakeholders at all organizational levels. Experience with CRM tools (e.g., Salesforce, HubSpot) and MS Office Suite, especially Excel. Proven ability to manage multiple accounts, meet deadlines, and prioritize in a dynamic environment. Excellent negotiation, interpersonal, and organizational skills. Comfortable working independently and collaboratively in a fast-paced, target-driven environment. Willingness to travel for client meetings and reviews as needed. Work with innovative enterprise AI solutions revolutionizing the customer experience space. Be part of a growth-stage company with exciting expansion across global markets. Collaborate with some of the sharpest minds in sales, product, and technology. A transparent, merit-based work culture that rewards performance and ownership. Opportunity for career advancement and leadership roles in client-facing strategy. Qualification : Masters Degree from a reputed institute.

Senior Client Partner Location: Mumbai, India Employment Type: Full-time, Permanent About Qure.AI Qure.AI is the world s fastest-growing medical AI company, with an impressive track record of 13 FDA and 62 CE mark clearances. We develop cutting-edge solutions to enhance patient outcomes across various care domains, including lung cancer, tuberculosis, and stroke. Our innovative technologies have positively impacted over 22 million patients in more than 90 countries worldwide. At Qure.ai, we are committed to fostering a diverse and inclusive workplace, and we proudly serve as an equal-opportunity employer. About the Job We are seeking a Senior Client Partner to lead large-scale, countrywide projects and manage key client relationships. This role involves driving revenue growth through upselling, cross-selling, and strategic account management. As part of the Customer Success & Operations team, you will be instrumental in ensuring smooth project execution and fostering long-term partnerships. In this position, you ll oversee client journeys with Qure.ai, driving product adoption, optimizing impact, and identifying opportunities for expansion and renewal. This is a high-impact role that combines client management, project execution, and strategic planning in a rapidly growing organization. Roles and Responsibilities Lead Large-Scale AI Projects: Drive the execution of large-scale, countrywide AI projects from start to finish, ensuring smooth implementation and client satisfaction. Collaborate with government bodies, healthcare institutions, on-ground teams, and global health organizations to drive product adoption and large-scale AI deployment. Client Relationship Management: Build and maintain strong relationships with key external stakeholders, including Ministry of Health, National Programs, program heads, IT teams, and clinical decision-makers. Ensure high retention and satisfaction, and serve as the primary point of contact for client management, post-deployment engagement, and feedback collection. Revenue Growth: Identify new opportunities within existing accounts, driving upselling, cross-selling, renewals, and expansions. Manage strategic account planning to maximize client lifetime value and ensure continuous revenue growth. Cross-Functional Collaboration: Work closely with engineering, product, and sales teams to support client needs, resolve project challenges, and deliver exceptional results. Provide valuable feedback to product teams to contribute to Qure.ai's product roadmap and continuous improvement. Best Practices and Process Optimization: Develop best practices for client management, project execution, and revenue tracking. Continuously optimize internal processes for improved efficiency, scalability, and long-term impact. Client Support: Effectively resolve client complaints by collaborating with Client IT and Program Teams, managing remote access requests, and ensuring timely resolution of issues in coordination with internal engineering teams. Marketing & Research Outcomes: Generate marketing and research outcomes that highlight the impact of Qure.ai s solutions and reinforce our value proposition in the healthcare AI space. Skills and Expertise Experience: 3-6 years in client-facing roles, with experience in managing large-scale, multi-stakeholder projects and driving revenue growth through upselling, cross-selling, and strategic account expansion. Project Management: Strong people management skills and the ability to lead projects in a fast-paced, evolving environment. Experience in account management, client success, project management, or healthcare is a plus. Communication Skills: Excellent verbal and written communication skills, with a demonstrated ability to engage with and influence senior-level stakeholders. Problem-Solving: Self-starter, quick learner, and a driven individual with strong problem-solving capabilities and empathy toward clients. Healthcare Knowledge (Optional): Knowledge and experience in the healthcare industry will be advantageous. Technical Skills: Proficient in Excel and PowerPoint for reporting and presentations. Other Considerations Travel Requirements: This role will involve significant travel, both domestic and international, to ensure successful project execution and client engagement. At Qure.ai, you will be part of a rapidly growing organization where you can work alongside the best minds in the healthcare and AI industries. We offer competitive compensation, a rewarding career path, and the chance to make a meaningful impact in global healthcare. As a Senior Client Partner, you will have the opportunity to grow with a young, innovative company and help shape the future of healthcare AI. Equal Opportunity Employer Qure.ai is committed to fostering a diverse and inclusive workplace. We encourage applicants from all backgrounds and experiences to apply.

BFSI Enterprise Director Location: Mumbai, India As part of our rapidly expanding Enterprise business, we are looking for a BFSI Leader to scale the business in the India region. You will lead a team of professionals and be responsible for multiplying consumption, new customer acquisition, and developing the ecosystem. You will inherit a team of seasoned campaigners, passionate about building a data ecosystem in the India region, technically knowledgeable, and have a desire to help customers and partners succeed. You will report to the Head of Enterprise business, India Region. The Impact You Will Have: Scale a team of motivated Enterprise Account Executives to increase growth in the BFSI domain. Inspire a culture of teamwork, leading with value, and achieving desired customer outcomes. Develop trust-based relationships with customers and partners to ensure long-term success. Encourage learning and ongoing understanding of technical product details and our future product roadmap. Lead our BFSI Enterprise growth plans, ensure forecast accuracy, and drive a predictable, high-growth business. What We Look For: Desire to build a collaborative, inspired team culture. Alignment with our core values: customer obsession, teamwork, ownership, and data-driven decision making. 15+ years of experience building a high-growth sales team serving BFSI customers. Experience in the Big Data, Cloud, or SaaS Sales industry. A history of exceeding sales quotas in similar high-growth Enterprise software companies. Understanding of value selling and structured methodologies (e.g., MEDDPICC, Challenger, Command of Message). Knowledge of developing the partner ecosystem to help grow strategic enterprise territories. Success in implementing strategies for usage and booking-based sales revenue models. Enterprise BFSI experience coupled with Cloud Data & AI experience is highly desirable. About Databricks: Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI. Databricks is headquartered in San Francisco, with offices around the globe, and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake, and MLflow. Benefits: At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.

Emerging Enterprise Hunter Account Executive Location: Mumbai, India The Impact You Will Have: Prospect for new customers. Assess your existing customers and develop a strategy to identify and engage all buying centers. Use a solution approach to selling and creating value for customers. Identify the most viable use cases in each account to maximize Databricks' impact. Orchestrate and work with teams to maximize the impact of the Databricks ecosystem on your territory. Build value with all engagements to promote successful negotiations and close. Promote the Databricks enterprise cloud data platform. Be customer-focused by delivering technical and business results using the Databricks Platform. Promote teamwork. What We Look For: You have previously worked in an early-stage company, and you know how to navigate and be successful in a fast-growing organization. 5+ years of sales experience in SaaS/PaaS or big data companies. Prior customer relationships with CIOs and important decision-makers. Ability to simply articulate intricate cloud technologies and big data. 3+ years of experience exceeding sales quotas. Success in closing new accounts while upselling existing accounts. Bachelor's Degree. Job Location: Mumbai About Databricks: Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake, and MLflow. Benefits: At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. Qualification : Bachelor's Degree.

SAP PP/QM Consultant Job Description Role and Responsibilities: SAP Expertise: With 6+ years of SAP PP-PI (Production Planning Process Industry) & Discrete Manufacturing experience, you will play a crucial role in implementing SAP solutions. End-to-End Implementation: Lead at least 3 full life cycle implementations of SAP PP-PI, Discrete Manufacturing, and REM (Repetitive Manufacturing). Configuration & Testing: Strong skills in configuring and testing SAP modules, specifically in Forecasting, Demand Management, Production Planning (MRP Live), Shop Floor Execution, and Capacity Planning. S4/HANA Implementation: Experience in S4HANA implementation and migration processes, ensuring smooth transitions to the latest platforms. Module Integration: Expertise in integrating SAP PP with QM (Quality Management), CO (Controlling), MM (Materials Management), and SD (Sales and Distribution) modules. Cloud Implementation: Experience in SAP RISE or Public Cloud implementation would be an advantage. Manufacturing Processes: In-depth knowledge of processes such as MTS (Make to Stock), MTO (Make to Order), and Repetitive Manufacturing in SAP. Process Management: Strong understanding of process management using PI Sheets, Process Control Systems Integration, Recipe Management, Active Ingredient Calculation, and Batch Management. Change Management: Good experience in Engineering Change Management and Order Change Management functionality within SAP. Enhancements & Functional Requirements: Hands-on experience in gathering functional requirements, creating smart forms, and conducting enhancement development. S/4HANA and Fiori: Knowledge of SAP Fiori and the S/4HANA Data Migration Tool to enhance the user experience and streamline data transitions. UAT & Documentation: Experience in User Acceptance Testing (UAT), preparing training materials, and maintaining project documentation. Required Experience: Experience: 6 to 12 years of relevant work experience in SAP PP/QM consulting. Industry Knowledge: Prior experience working in industries utilizing SAP solutions, with a focus on manufacturing and production processes. Location: Mumbai (onsite) About Castaliaz: Castaliaz has been at the forefront of SAP implementation for SMEs and large enterprises across India for over a decade. We are recognized as one of the Top 10 SAP implementation partners in India. With expertise in a wide range of SAP applications, including SAP Cloud, Rise with SAP, S/4HANA, Fiori, Ariba, and Digital Compliance (GST, E-Invoicing, E-Way Bill), we help clients navigate the entire lifecycle of SAP implementation and management. Our proven, time-tested implementation approach has earned the trust and loyalty of our clients nationwide. As an SAP Gold Partner, Castaliaz continues to be a leader in delivering top-tier SAP solutions.

Position: Enterprise Key Account Manager Location: Mumbai (Andheri Saki Naka) Industry: IT Relevant Experience: Minimum 7-10 Years (at least 3+ years in relevant experience) Employment Type: Full-time Work Environment: Hybrid (office and field sales) Travel Requirement: Estimated 60-80% of the time About Swan Solutions: Swan Solutions is a rapidly growing IT infrastructure services provider, generating over 500 Crore in revenue. Headquartered in Mumbai, Swan has been successfully serving the IT hardware and networking needs of BFSI, PSU, SMB, and corporate sectors for over 33 years. The company has forged partnerships with global technology leaders like HP, Cisco, Microsoft, Ice Warp, and Fluid AI. Our major clients include SBI, SBI MF, ICICI, and more. At Swan, we embrace innovation, celebrate creativity, and encourage a collaborative environment where every idea has the potential to drive change. We are a team that is accountable, vibrant, independent, and always willing to learn and grow together. Job Overview: We are looking for a dynamic and results-driven Enterprise Key Account Manager to join our team. This role will involve managing strategic sales initiatives, building strong relationships with enterprise clients, and driving the company s growth in the competitive IT solutions and services market. Key Responsibilities: Develop and implement comprehensive sales strategies to achieve monthly, quarterly, and annual revenue targets. Create and maintain sales forecasts, pipeline reports, and performance dashboards. Identify and pursue new business opportunities in the IT solutions and services sector. Build and maintain strong relationships with existing and potential enterprise clients. Collaborate with marketing, product, and delivery teams to align sales efforts with company objectives. Analyze market trends, competitive landscape, and customer needs to inform sales strategies. Manage and optimize the sales process, including lead generation, qualification, and conversion. Represent the company at industry conferences, networking events, and client meetings. Qualifications Required: Bachelor s degree in Business Administration, Marketing, Computer Science, or a related field. 7-10 years of progressive sales experience in IT solutions, services, or technology sectors. Proven track record of consistently meeting or exceeding sales targets. Strong understanding of enterprise IT solutions, cloud services, and digital transformation technologies. Excellent communication and interpersonal skills in English and Hindi. Proficiency in CRM tools (e.g., Salesforce, HubSpot) and sales management software. Preferred Qualifications: Experience in B2B technology sales in the Indian market. Knowledge of emerging technologies like AI, cloud computing, and cybersecurity. Industry certifications in sales management or IT solutions. Key Skills: Strategic sales planning Client relationship management Negotiation and closing techniques Data-driven decision-making Solution-selling approach Cross-functional collaboration Compensation & Benefits: Variable Pay Components: Performance Bonus ranging from 100% to 400% of Fixed CTC, based on team sales performance. Opportunity to work in a dynamic and rapidly growing organization. Be a part of an innovative and vibrant culture that fosters creativity and teamwork. Competitive compensation structure with performance-based bonuses. Work in a hybrid environment with ample opportunities for travel and client interaction. If you re passionate about IT sales and eager to grow with a leading organization, we d love to hear from you! Qualification : Bachelors degree in Business Administration, Marketing, Computer Science, or a related field.

Position: Senior Sales Executive (PSU IT Solutions) Location: Mumbai, Delhi Employment Type: Full-Time, Permanent Mode of Work: Initial period WFH/Field work from their location (Except Mumbai Location) About Swan Solutions: Swan Solutions is a rapidly growing IT infrastructure service provider with a turnover of 500 Crore, headquartered in Mumbai. Founded 33 years ago by Mr. Mohammed Sutarwala, Swan has built a reputation in the IT hardware and networking space, offering solutions to BFSI, PSU, SMBs, and corporate houses. Swan partners with leading global companies like HP, Cisco, Microsoft, Ice Warp, and Fluid AI. Our key clients include SBI, SBI MF, and ICICI. Culture at Swan: Swan s culture fosters innovation, accountability, and collaboration. We take on inspiring IT projects, encourage creativity, and celebrate the people who make ideas come to life. Our open-door culture ensures everyone has the opportunity to contribute to the transformation of ideas into actionable solutions. Members of the Swan team are described as accountable, vibrant, independent, and impactful. Key Responsibilities: Business Development Identify and target potential PSU customers across various sectors such as energy, telecommunications, banking, and infrastructure. Develop and execute strategic sales plans to penetrate PSU market segments. Build and maintain strong relationships with key decision-makers in PSU organizations. Sales Strategy Conduct in-depth market research on PSU IT spending and technological requirements. Develop tailored IT solution proposals addressing the specific needs of PSU organizations. Create comprehensive presentation decks and technical documentation. Prepare competitive bid responses and ensure technical compliance with RFPs. Sales Execution Manage the entire sales cycle, from lead generation to contract closure. Negotiate complex, high-value IT solutions and service contracts. Develop and maintain a robust sales pipeline. Meet or exceed quarterly and annual sales targets. Collaborate with pre-sales and technical teams to design customized solutions. Customer Engagement Provide a consultative selling approach to understand PSU customers' digital transformation challenges. Conduct technical presentations and demonstrations. Offer post-sales support and ensure customer satisfaction. Manage long-term customer relationships and identify upselling opportunities. Compliance and Documentation Ensure compliance with government procurement guidelines and tender processes. Maintain accurate sales records and customer interaction documentation. Prepare detailed sales reports and forecasts. Navigate complex PSU procurement procedures. Tender and RFP Management Proactively track PSU tender and RFP opportunities across various sectors. Maintain a comprehensive database of upcoming and active tenders. Develop expertise in tender classification and evaluation criteria. Ensure strict adherence to government procurement guidelines and statutory compliance norms. Tender Response Strategy Analyze RFP/tender requirements and develop precise, compliant, and competitive tender responses. Coordinate with internal teams to craft technical specifications, pricing strategies, and bid documents. Prepare comprehensive bid documents that meet all technical, commercial, and legal requirements. Stakeholder Engagement Build and maintain relationships with PSU procurement departments and tender evaluation committees. Conduct follow-up and clarification meetings, and manage post-tender communication and negotiation processes. Competitive Intelligence Monitor competitor tender responses and analyze winning bid strategies. Stay updated on emerging technologies relevant to PSU procurement. Develop insights into PSU technological transformation priorities. Qualifications: Education: Bachelor s degree in Engineering, Computer Science, or Business Administration. Experience: 4-6 years of experience, with at least 3 years in enterprise IT sales, preferably with exposure to the PSU sector. Proven track record of successful B2G (Business to Government) sales. Strong understanding of IT infrastructure, cloud solutions, cybersecurity, and digital transformation technologies. Excellent communication and negotiation skills in English and Hindi. Required Skills: Deep knowledge of PSU procurement processes. Strong networking and relationship-building capabilities. Strategic thinking and solution-selling approach. Ability to work in a target-driven environment. Proficient in CRM tools and sales management software. Excellent written and verbal communication skills. Attention to detail, especially with tender specifications. Strong analytical and problem-solving capabilities. Ability to work under strict deadlines. Proficiency in preparing persuasive technical documentation. Technical Competencies: Extensive knowledge of government e-procurement portals (GeM, CPPP). Tender evaluation processes and bid management software. Experience in preparing technical and commercial bid proposals. Technology Focus Areas: IT Infrastructure Solutions Cloud Computing Cybersecurity Digital Transformation Technologies Enterprise Software Solutions Network and Communication Systems Key Performance Indicators (KPIs): Number of tenders participated in. Tender win rate. Total contract value of won tenders. Compliance score in tender submissions. Revenue generated through tender routes. Compensation: Performance Bonus: 100-300% of base salary (based on the number and value of tenders won). Qualification : Bachelors degree in Engineering, Computer Science, or Business Administration.

Job Title: Software Engineer (AI/ML) Location: Mumbai Job Type: Permanent Education: Any Graduate / Post Graduate Experience: 2 to 3 years Openings: 3 What You Will Do: Design, develop, and deploy machine learning models and AI-driven solutions. Pre-process and analyze large datasets to derive actionable insights. Implement and optimize deep learning models, including Natural Language Processing (NLP) and computer vision. Develop and fine-tune algorithms for classification, prediction, and recommendation systems. Leverage cloud platforms (AWS, Azure, GCP) for model training and deployment. Optimize ML models for performance, scalability, and real-time inference. Collaborate with data engineers to build efficient data pipelines. Stay updated with the latest AI/ML advancements and integrate best practices into development. Work closely with cross-functional teams to understand business requirements and deliver AI solutions. Qualifications: Experience: 2-3 years in AI/ML development. Technical Skills: Strong programming skills in Python and experience with libraries like TensorFlow, PyTorch, and Scikit-Learn. Hands-on experience in deep learning, NLP, and computer vision. Expertise in handling large datasets and data pre-processing techniques. Experience in deploying ML models using cloud platforms (AWS SageMaker, Azure ML, GCP AI). Solid knowledge of machine learning algorithms, model evaluation, and hyperparameter tuning. Familiarity with database technologies (SQL, NoSQL) and big data frameworks (Spark, Hadoop). Experience in data pre-processing for structured and unstructured data (text, audio, video). Knowledge of document processing, Vision AI, Audio AI, and building AI-driven systems using Langchain and Rasa. Experience building AI chatbots and voicebots. Familiarity with DevOps and CI/CD for cloud platforms (AWS, Azure, GCP). Experience working in Agile SDLC with an iterative development mindset. Strong logical, analytical, and creative thinking, with a passion for problem-solving. Qualification : Any Graduate / Post Graduate

Job Title: Senior Software Engineer (AI/ML) Location: Mumbai Job Type: Permanent Education: Any Graduate / Post Graduate Experience: 4 to 6 years Openings: 2 What You Will Do: Design, develop, and deploy machine learning models and AI-driven solutions. Pre-process and analyze large datasets to extract meaningful insights. Implement and optimize deep learning and NLP models for various applications. Develop and fine-tune algorithms for classification, prediction, and recommendation systems. Leverage cloud platforms (AWS, Azure, GCP) for model training, deployment, and scalability. Optimize ML models for high performance, scalability, and real-time inference. Collaborate with data engineers to build efficient and reliable data pipelines. Stay updated with the latest advancements in AI/ML technologies and best practices. Work closely with cross-functional teams to understand business requirements and deliver AI solutions that address key business challenges. What Qualifications You Will Need: Experience: 4-6 years in AI/ML development, with a focus on building real-world AI systems. Technical Skills: Strong programming skills in Python, with hands-on experience in libraries like TensorFlow, PyTorch, and Scikit-Learn. Proficiency in deep learning, NLP, and computer vision. Expertise in working with large datasets and employing data pre-processing techniques. Experience in deploying machine learning models using cloud platforms (AWS SageMaker, Azure ML, GCP AI). Solid understanding of machine learning algorithms, model evaluation, and hyperparameter tuning. Familiarity with database technologies (SQL, NoSQL) and big data frameworks (Spark, Hadoop). Experience in data pre-processing for both structured and unstructured data (e.g., text, audio, video). Knowledge of document processing, Vision AI, and Audio AI technologies. Experience building AI agentic systems using Langchain and Rasa. Hands-on experience with developing AI chatbots and voicebots. Familiarity with DevOps practices and CI/CD pipelines (AWS, Azure, GCP). Experience working in Agile SDLC with an iterative development mindset. Strong logical, analytical, and creative problem-solving abilities. Qualification : Any Graduate / Post Graduate

Introduction A Technology Sales Engineer role (internally called a Brand Technical Specialist) within IBM Security means providing industry-leading solutions to help our clients navigate the challenges of cloud security, advanced threats, compliance and privacy, as well as mobile and remote security. This role ensures you re continuously growing personally and professionally staying ahead of industry trends and remaining the trusted advisor our clients depend on for success. IBM s excellent onboarding and industry-leading learning culture will equip you to create a lasting impact while advancing your career. In our collaborative and experiential sales environment, you'll work alongside bright minds and keen co-creators always willing to help and be helped as you apply passion to drive our clients' investment in IBM's products and services. Your Role and Responsibilities As a Brand Technical Specialist, you will: Security Strategy Crafting: Work with clients to craft security strategies for infrastructure, applications, and management tailored to their business needs. Enhanced Security Solutions: Detail and present IBM Security solutions that enhance existing technology stacks, helping clients to better manage their security. Effective Communication: Simplify and explain complex technical topics in an easily understandable manner to clients, ensuring clarity and alignment. Trust-Building for Cloud Deals: Build credibility and trust at all levels within client organizations to successfully close complex cloud technology deals, driving value for their business. Required Education Bachelor's Degree Required Technical and Professional Expertise Knowledge of Data Security technologies like Database Activity Monitoring (DAM) using IBM / Imperva / McAfee, deployed both on-premises and in the cloud. Experience guiding clients in adopting DAM solutions, including delivering Proof of Concepts (PoC), Proof of Technology (PoT), Request for Proposal (RFP) responses, and Enablement activities for partners and clients. Strong ability to deliver presentations and demos to clients and partners, explaining complex security solutions in an engaging and clear manner. Experience capturing and prioritizing complex requirements, resolving conflicts, and obtaining client buy-in on assumptions to fill gaps in critical requirements. Good to Have Experience Understanding of heterogeneous types of databases such as RDBMS (DB2, Oracle, MS SQL), RDS, DBaaS / PaaS, Big Data, Data Warehouse, SAP HANA, etc. Experience articulating technology options to clients, advising on strategic decision-making, and exploring innovative solutions to accelerate their digital transformation. At IBM, we foster a culture of growth, collaboration, and innovation. As a Brand Technical Specialist, you'll join a team of experts dedicated to helping clients tackle complex security challenges. You will be empowered with cutting-edge technology and supported by a network of mentors and coaches to ensure your continuous success and development. In this role, your contributions directly impact IBM s growth and help shape the future of security solutions for global businesses. Join us at IBM Security to drive meaningful change and secure the digital transformation journeys of the most innovative companies worldwide. This job description highlights the key responsibilities and qualifications required for the Technology Sales Engineer (Brand Technical Specialist) role, providing potential candidates a clear understanding of the position and its importance at IBM Security.

Inside Sales Representative/Officer About the Company: Sequretek is a global cybersecurity company, which offers end-to-end security in the areas of enterprise threat monitoring, incident response (Percept XDR), device security (Percept EDR), identity & access governance (Percept IGA) through their own AI driven Percept Cloud Security Platform (PCSP). Vision: To simplify security by consolidating the technology landscape Mission: We empower your growth (customer s growth) without fear as your (customer s) trusted partner by simplifying security Sequretek, started in 2013, has its offices across US and India with over 400 cybersecurity professionals. More than 25% of our employees are in R&D. We do business across the world with our partners. We have been growing with a CAGR of over 50% Y-O-Y and have close to 120 customers worldwide. Our products are covered by technology influencers like Gartner, ICSA Labs, NASSCOM, and have strategic partnerships with Intel, Ingram Micro and FIS. They give us market access in India and US. The company has received recognitions from several government bodies, startup entities as well as media houses over these past several years. Reporting to: Chief of Marketing and Head of Global Channels Open Positions: Inside Sales Representative Inside Sales Representative roles and responsibilities Communicating with prospective buyers in enterprises (B2B), through emails, LinkedIn and Twitter. Making outbound calls to prospective buyers in enterprises (B2B) CISO/CIO/CTO/IT Heads/Security Heads. Fixing physical (1-on-1) or virtual meetings for Sales team members with targeted customers. Calendaring the appointment through email/whatsapp and uploading the details on CRM on a daily basis. Ensuring that the meetings take place by reminding the customer / RSVP. Post the meeting, update the CRM (lead/no lead) after speaking with the salesperson. Send a Thank You email to the customer with the sales collateral and details of the salesperson. Attend daily cadence, and weekly reviews with Sales and Marketing leaders. Creating and maintaining customer database in the CRM with activity sheet for each account updated on a daily basis. RSVP Management for webinars and events run by Marketing team. Ensuring that the targets set for number of calls, meetings fixed, leads generated are met / exceeded. Inside Sales Representative/Officer requirements and qualifications Minimum of a Degree. Minimum of 2 years of experience in a similar role in B2B enterprises (preferably in IT/cybersecurity) for Indian markets. Proficiency in Email, MS Office and CRM software. Excellent verbal and written communication skills in English is Mandatory. Candidates with Hindi and other regional languages (Marathi, and South Indian) are preferable. Strong listening skills. Strong organizational and presentation skills. Strong tele-sales and cold calling skills. Ability to work well in a fast-paced environment. Excellent customer relationship skills.

Job Title: Azure Kubernetes Service (AKS) Engineer Experience: 6 to 9 years Location: Mumbai About Capgemini: Choosing Capgemini means joining a company where you can shape your career, collaborate with a global community, and contribute to innovative solutions. We empower our teams to unlock the value of technology, creating a more sustainable and inclusive world. Role Overview: We are looking for an experienced Azure Kubernetes Service (AKS) Engineer to design, deploy, and optimize Kubernetes-based solutions on Azure Cloud. The ideal candidate will have a strong background in containerization, cloud infrastructure, DevOps practices, and automation. Primary Responsibilities: Azure Kubernetes Service (AKS) & Containerization: Design, deploy, and manage Azure Kubernetes Service (AKS) clusters. Implement best practices for container orchestration and microservices architecture. Work with Docker to containerize applications efficiently. Cloud & Infrastructure as Code (IaC): Manage Azure cloud resources using Azure Resource Manager (ARM), Terraform, and Bicep. Optimize Azure environments for performance, security, and scalability. Automate infrastructure provisioning and deployment using CI/CD pipelines. DevOps & CI/CD: Implement CI/CD pipelines using Jenkins, GitLab CI, or Azure DevOps. Manage application releases and deployments with Helm charts. Improve system reliability, scalability, and performance through automation. Monitoring & Security: Configure and maintain monitoring and logging tools such as Prometheus, Grafana, and Azure Monitor. Implement networking, authentication, and security best practices in AKS and Azure environments. Troubleshoot and debug AKS, Kubernetes, and containerized applications. Secondary Skills: Experience with Helm for managing Kubernetes packages. Knowledge of Agile methodologies and DevOps best practices. Capgemini is a global leader in technology and business transformation, with over 340,000 professionals across 50+ countries. We deliver end-to-end solutions powered by AI, cloud, and data, helping clients accelerate digital and sustainable innovation. With a 55+ year legacy, we are trusted by global enterprises to drive meaningful impact. Join us and be a part of an inclusive, collaborative, and innovative team!