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Senior Backend Engineer Market Making Location: Bangalore Experience: Senior-level Education: Advanced degree in Computer Science, Mathematics, or a related field About FalconX FalconX is a pioneering team of operators, investors, and builders transforming institutional access to the crypto markets. Operating at the intersection of traditional finance and cutting-edge technology, FalconX simplifies the fragmented digital asset market. Our platform provides seamless access, liquidity, and trading tools for institutional clients, enabling strategies from start to scale. Team Overview The Quant Team at FalconX is divided into three verticals: Services: Focused on complex pricing, risk management methodologies, and execution for our OTC desks. Options Market Making (MM): Provides market-making for derivatives, either as a service or as business owners. D1 Team: Quantitative traders providing market-making services while managing discretionary risk for linear products. Role Overview As a Senior Backend Engineer on the Market Making team, you will develop and enhance backend systems that provide critical tools, insights, and infrastructure for pricing, risk management, and trading operations. You will work closely with traders, quants, product managers, and trade operations teams to deliver robust, scalable, and high-performance applications. Key Responsibilities Build and maintain backend infrastructure to support pricing and risk management methodologies for complex and new products. Develop fundamental models in support of the quant team s three verticals. Collaborate with cross-functional teams including design, product management, traders, and quants to deliver scalable and efficient solutions. Solve technically challenging problems of high scope and complexity. Contribute to innovative products in the crypto derivatives space, such as correlation exotics and missing data volatility pricing. Ensure high-quality, maintainable code with strong testing, monitoring, and documentation practices. Required Qualifications Advanced degree in Computer Science, Mathematics, or related field. Proficiency in Python, with experience in a low-level language (C/C++/Rust) preferred. Familiarity with distributed systems and scalable architectures. Understanding of derivative products and risk management frameworks. Strong grasp of data structures, algorithms, and design patterns. Excellent problem-solving skills, with a detail-oriented and collaborative mindset. Strong communication skills and ability to work in a fast-moving, agile environment. Comfortable contributing to early-stage product development in a startup setting. Bonus / Preferred Qualifications Experience with exotic products and derivatives. Risk management and portfolio management experience. Knowledge of numerical methods, optimization, and modeling techniques. Familiarity with frontend frameworks such as React. Help make crypto assets a successful asset class for institutional investors. Provide critical tools and infrastructure that shape trading strategies and pricing models. Collaborate with top talent in trading, quant research, and technology. Work on some of the most innovative products in the crypto derivatives space. Qualification : Advanced degree in Computer Science, Mathematics, or a related field

Job Title: Product Manager - Midas Location: Bangalore Department: Product Management Employment Type: Full-Time About FalconX At FalconX, we are a pioneering team of operators, investors, and builders committed to revolutionizing institutional access to the cryptocurrency markets. Operating at the intersection of traditional finance and cutting-edge technology, FalconX addresses the industry's foremost challenges. Navigating the digital asset market can be complex and fragmented, with limited products and services that support trading strategies, liquidity, and infrastructure found in conventional financial markets. As a comprehensive solution for digital asset strategies, FalconX enables seamless navigation through the evolving cryptocurrency landscape. The Role We are seeking a Technical Product Manager to focus on the technical and tactical aspects of our electronic trading platform, **Midas**. In this role, you will work closely with internal teams to build and maintain scalable, robust, and high-performance solutions for institutional customers. You will be responsible for managing the infrastructure, app layer, liquidity layer, and client-facing initiatives, ensuring the platform is optimized for reliability, speed, and scale. Key Responsibilities 1. Infrastructure Layer Management: Drive quarterly investments in **latency and reliability improvements** to enhance the core infrastructure of the platform. Ensure improvements in latency lead to measurable throughput gains, reduced slippage, and higher fill rates. Oversee technical enhancements and upgrades to maintain and scale the platform's infrastructure. 2. Application Layer Enhancements: Develop and enhance new order types and algorithms (e.g., Stop Loss, Partial Fills, Icebergs) to meet evolving market needs. Manage tech debt cleanup, including consolidating and updating configurations. Oversee **FIX infrastructure updates** to support new order types, scalability, and more dynamic spreading logic. Improve **API performance**, focusing on reducing outdated and slow API calls to match current scale. 3. Liquidity Layer: Transition away from primitive hedging models by increasing the sophistication of liquidity management. Develop APIs for liquidity providers (LPs) to enhance platform functionality and liquidity management. Build tools to track and report liquidity status and identify potential gaps in liquidity. 4. Client-Facing Initiatives: Collaborate with cross-functional teams to translate client needs into technical features and product requirements as the platform expands into new markets. Work closely with Sales and Revenue teams to ensure alignment of product development with client demands and technical capabilities. Support client onboarding and provide technical insights into the trading system to ensure a seamless user experience. 5. Day-to-Day Operations: Oversee proactive issue identification and resolution during Asia hours, ensuring system uptime and reliability. Track and report trading data and success metrics for product releases, ensuring timely and accurate performance metrics. Support revenue teams in technical conversations and assist in explaining technical challenges and solutions to clients and stakeholders. 6. Product Lifecycle Management: Own the product lifecycle from concept to execution, driving the Objectives and Key Results (OKRs) for Midas and other product initiatives. Write detailed Product Requirements Documents (PRDs) for technical improvements at the infrastructure and application layers. Create testing frameworks and test cases for product releases, ensuring high-quality standards are maintained. 7. Cross-Functional Collaboration: Collaborate with Engineering, Partnerships, Operations, and Compliance teams to capture all technical requirements for successful product launches. Ensure product features are delivered on time and meet the needs of internal stakeholders and customers. Qualifications Experience: 4-7 years of proven experience in technical product management with a focus on API development and management. Minimum 2 years of experience in brokerage, market-making, or institutional trading. Experience working with foreign exchange products or payment solutions is a must. Prior experience in digital assets or cryptocurrency markets is a bonus. Skills: Strong technical background with experience in managing complex trading systems and market infrastructure. Proficient in **API design and development**, with hands-on experience working with low-latency, high-performance systems. Ability to define and prioritize product requirements in collaboration with cross-functional teams. Excellent problem-solving skills, with the ability to navigate technical challenges in a fast-paced, evolving market. Strong knowledge of market-making and liquidity management in institutional environments. Excellent communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders. Education: Bachelor s or Master s degree in Computer Science, Engineering, or a related field (or equivalent practical experience). Innovative Environment: Work at the intersection of traditional finance and cutting-edge blockchain technology in a fast-paced, high-growth environment. Market Leadership: Play a crucial role in shaping the future of digital asset trading for institutional clients, helping to address key industry challenges. Collaborative Culture: Join a team of highly talented operators, engineers, and product managers working towards a unified mission of revolutionizing the crypto market. Career Growth: Gain exposure to a rapidly expanding industry and access to opportunities for learning and development. If you're passionate about digital assets, excited by technical challenges, and ready to have a direct impact on the future of institutional trading, we want to hear from you! Join us at FalconX to shape the future of the crypto market. Qualification : Bachelors or Ma...

Position: Spare Parts Executive Location: Bangalore Employment Type: Full Time Experience Required: 5 8 Years Industry: Manufacturing / Engineering / Supply Chain Job Overview We are seeking a proactive and detail-oriented Spare Parts Executive to manage end-to-end operations for spare parts quotations, procurement, import coordination, and order fulfillment. The ideal candidate should have a solid background in parts handling, vendor coordination, import documentation, and customer communication. You will be a key link between suppliers, service teams, and customers, ensuring that spare parts are delivered efficiently and in compliance with timelines and regulatory standards. Key Responsibilities Handle incoming RFQs from customers and service engineers; provide accurate and timely quotations for spare parts. Process customer orders with a strong focus on precision, delivery timelines, and specifications. Coordinate with suppliers to: Check pricing and stock availability Negotiate payment and delivery terms Place purchase orders as needed Manage all import-related activities: Prepare and review import documentation Ensure compliance with import regulations, duties, and tariffs Coordinate with customs brokers to resolve clearance issues Monitor inventory and reorder levels to proactively meet customer demand and avoid stockouts. Maintain accurate records of RFQs, orders, supplier interactions, and stock transactions. Verify supplier invoices against ordered and received goods; resolve quantity or quality discrepancies swiftly. Communicate order status, delays, or changes clearly and proactively to customers and service teams. Continuously identify and implement improvements to streamline procurement and fulfillment workflows. Required Skills & Qualifications 5 8 years of experience in spare parts management, procurement, supply chain, or order coordination preferably in manufacturing or engineering services. Strong working knowledge of import/export regulations, documentation, and customs clearance. Experience in supplier negotiations and handling vendor communications. Proficiency in Microsoft Excel, ERP systems, and basic inventory management tools. Excellent communication and coordination skills. High attention to detail and ability to multitask in a deadline-driven environment. Strong problem-solving and decision-making capabilities. Competitive salary and performance incentives Health insurance and other employee benefits Dynamic and collaborative work environment Growth opportunities within operations and supply chain management Apply now to join a team committed to operational excellence and customer satisfaction.

Salesforce Developer Department: Software Engineering Job Type: Full Time Location: Banglore KEY SKILLS: Strong understanding of Salesforce Declarative Programming and Administration develop code, custom objects, Visual Force pages, Apex, reports, workflows and assignment rule Knowledge of user interface development skills including HTML, DHTML, CSS, JavaScript, AJAX. Strong working knowledge of Salesforce Query Language (SQL/SOQL). Good experience building large-scale, data-driven web applications. Hands on experience on Java. In-depth Knowledge of databases and experience with SQL and relational schema design. Develop Apex (classes and triggers), Visualforce*, (based on specific requirements) to extend Salesforce in order to support business requirements. Custom User Interface development, including Visualforce* pages/Lightning pages, Aura Components** and Lightning Web Components.

Position: Business Technology Data Engineer Location: Bengaluru, India (Hybrid 3 days onsite) Company: Samsara Technologies India Pvt. Ltd. About Samsara Samsara (NYSE: IOT) is a leader in the Connected Operations Cloud, enabling businesses across industries like transportation, logistics, manufacturing, and field services to harness IoT data for safety, efficiency, and sustainability improvements. Samsara helps organizations digitize physical operations at scale, improving outcomes that impact global infrastructure. Role Overview Samsara is seeking a Business Technology Data Engineer to join its Data & Analytics team within the Business Technology division. In this role, you will design, build, and optimize end-to-end data pipelines and infrastructure for various business-critical systems across CRM, marketing, support, and product platforms. You'll collaborate with teams across the company to build reliable and scalable data solutions that power reporting, automation, and analytics. This hybrid role requires working 3 days per week from the Bengaluru office and 2 days remotely, with working hours aligned to India Standard Time (IST). Key Responsibilities Data Engineering & Platform Development Design and maintain ETL/ELT pipelines that integrate and transform data across business systems. Build scalable data infrastructure to support advanced analytics and real-time reporting needs. Write Python and SQL scripts for data ingestion, transformation, and validation. Data Integration & Enablement Work with diverse data sources: CRM, product telemetry, marketing automation, support ticketing, and order flow systems. Develop and support data lake and data warehouse solutions using Snowflake, Redshift, Databricks, or BigQuery. Ensure interoperability between applications and data layers. Performance & Quality Monitor and optimize pipeline performance, implement observability and alerting. Improve data quality, lineage, and governance across systems. Partner with internal stakeholders (e.g., Sales Ops, Marketing Ops, Analytics) to deliver reliable data products. Minimum Qualifications Bachelor s degree in Computer Science, Data Engineering, or related field. 5+ years of professional experience in data engineering. 3+ years experience building and maintaining end-to-end pipelines in a modern data stack. Strong in SQL and Python. Hands-on experience with: ETL tools: Fivetran, dbt Cloud: AWS (preferred), GCP, or Azure Databases: MySQL, PostgreSQL, Oracle, or similar Data Warehouses: Snowflake, Redshift, BigQuery, Databricks Preferred Qualifications Familiarity with API-based ingestion, serverless architecture (Lambda, API Gateway, SQS, etc.). Experience with monitoring tools (DataDog, CloudWatch, Splunk). Comfortable engaging stakeholders to translate business needs into data solutions. Proficiency in Docker, Kubernetes, or AWS Fargate is a plus. Qualification : Bachelors degree in Computer Science, Data Engineering, or related field

IT Program Manager Procurement Location: Bangalore, India (Night Shift: 9 PM 6 AM IST) About the Team Rubrik s Information Technology team drives business efficiency and scalability through a fully SaaS-based ecosystem. Supporting a fast-growing, cloud-first organization, the team is focused on delivering 100% uptime, secure operations, and seamless integration of critical systems like Salesforce, NetSuite, Workday, Snowflake, and more. About the Role As an IT Procurement Lead, you'll play a key role in Rubrik s vendor and procurement operations. You ll manage purchase orders, vendor relationships, contracts, forecasts, and collaborate across teams including Engineering, Sales, and Finance. Your ability to resolve procurement issues, maintain accuracy, and manage vendor communications will be essential in ensuring operational efficiency. Key Responsibilities Create and manage purchase orders and supplier forecasts. Draft and update contracts based on PO requirements for hardware/software. Generate and communicate POs and contracts to vendors and internal stakeholders. Validate pricing, quantities, and resolve blocked invoice or open order issues. Maintain vendor relationships, reconcile issues, and provide regular forecasts. Assist with budgeting, accruals, and monthly expense reporting. Use procurement tools like Coupa and financial platforms like NetSuite. Review and analyze procurement reports to ensure alignment with business needs. Experience You ll Need 5+ years of experience in procurement or related operations. Strong networking and stakeholder engagement skills. Excellent communication, grammar, and attention to detail. Proficiency in Coupa, NetSuite, Excel, PowerPoint, Google Sheets/Slides. Ability to handle night shift work hours (9 PM 6 AM IST). Join Us in Securing the World's Data Rubrik (NYSE: RBRK) delivers Zero Trust Data Security , protecting organizations from cyber threats, disruptions, and ensuring business continuity. Our AI-powered platform secures data across cloud, enterprise, and SaaS environments to uphold integrity, availability, and recoverability.

Job Title: Director / Sr Manager - Platforms Location: Bangalore, Karnataka, India Job Type: Full-Time (Hybrid Work Model) Experience Level: 10+ Years About Eightfold.ai: At Eightfold.ai, we are revolutionizing how organizations manage talent by leveraging the power of artificial intelligence. Our cutting-edge AI platform is transforming the way businesses hire, develop, and retain talent. By utilizing AI to understand individual skills and potential, we re solving the fundamental problem of matching people with the right opportunities. We are looking for a visionary engineering leader to drive the growth of our Core Infrastructure Team in India, shaping the foundation of our AI platform. About the Core Infrastructure Team: The Core Infrastructure Team at Eightfold is the backbone of the organization, responsible for the architecture, maintenance, and enhancement of critical infrastructure elements that support our entire technology stack. Our team builds and maintains systems for Search, Databases, Machine Learning Infrastructure, Data Warehouses, Developer Platforms, and Application Infrastructure. We ensure the scalability, security, and reliability of these services, which underpin every product that we offer to our users and customers. What You ll Own & Drive: As the Director / Sr Manager - Platforms, you will lead the technical direction for Eightfold's infrastructure, security, and analytics platforms, ensuring they meet the needs of our growing enterprise-scale business. Vision & Roadmap: Lead the strategy, roadmap, and execution of the Infrastructure, Security, and Analytics platforms. Team Building: Hire, mentor, and lead a high-performing engineering team, fostering a culture of innovation, excellence, and autonomy. Cross-Functional Collaboration: Partner with Product, Data, and DevOps teams to build secure, scalable systems that support business growth. Infrastructure Scaling: Ensure reliability, availability, and performance across both cloud (AWS, GCP) and on-prem environments. Security Leadership: Define and enforce security protocols, including threat modeling, vulnerability management, and compliance frameworks (SOC2, ISO27001, etc.). Operational Excellence: Champion modern engineering practices, including CI/CD, observability, and cost optimization. Analytics Platform Development: Lead the creation and scaling of an end-to-end Analytics Product stack including data warehouse, query engine, and dashboards. Ownership & Impact: Take ownership of the full product/technology lifecycle from vision, architecture, and deployment, ensuring long-term impact and success. What You Bring: Required Skills & Experience: 10+ Years of Engineering Experience: Significant experience in engineering with at least 3+ years in a leadership role leading teams at scale. Expertise in Cloud Infrastructure: Deep expertise in cloud-native infrastructure (AWS, GCP, etc.) and DevSecOps principles. Proven Success in Platform Scaling: A track record of building and scaling secure, reliable platforms at an enterprise level. Security Expertise: Leadership in security initiatives, including threat modeling, vulnerability management, and compliance. Excellent Communication: Strong communication skills, with the ability to influence and collaborate across engineering and business teams. Bonus Experience: Exposure to scaling analytics stacks (Snowflake, dbt, Airflow, Looker, etc.) is a plus. Leadership & Culture Building: Demonstrated success in building high-caliber teams and cultivating a thriving engineering culture. Impactful Leadership: Take on a high-leverage leadership role that shapes the foundation of Eightfold's AI platform and directly impacts the company s growth and success. Innovative Environment: Work with cutting-edge technologies and collaborate with brilliant minds to solve complex engineering challenges. Career Growth: As a leader at Eightfold, you will have the autonomy to drive strategic initiatives while building and scaling high-performing teams. Hybrid Work Model: Enjoy a flexible hybrid work model with the ability to work remotely while maintaining a strong in-office presence for team collaboration starting February 1, 2024. Comprehensive Benefits: Competitive salary, comprehensive family medical coverage, and eligibility for equity awards and discretionary bonuses or commissions. How to Apply: If you're a visionary engineering leader with a passion for building scalable, secure platforms and leading high-performing teams, we want to hear from you. Join Eightfold.ai and help us redefine how companies build, hire, and retain their workforce using AI-powered talent intelligence. Equal Opportunity Employer: Eightfold.ai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, or disability.

Data Scientist Lead - L1 Requisition ID: 64997 Location: Bengaluru, India Company: Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) Company Overview Wipro Limited is a leading technology services and consulting company focused on building innovative solutions that address clients most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. Job Description Role Purpose: The purpose of this role is to define, architect, and lead the delivery of machine learning and AI solutions. Key Responsibilities: Demand generation through support in Solution development Support Go-To-Market strategy. Collaborate with sales, pre-sales & consulting teams to assist in creating solutions and propositions for proactive demand generation. Contribute to the development of solutions, proof of concepts aligned to key offerings to enable solution-led sales. Collaborate with different colleges and institutes for recruitment, joint research initiatives, and provide data science courses. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions Develop Machine Learning / Deep Learning models for decision augmentation or for automation solutions. Collaborate with ML Engineers, Data Engineers, and IT to evaluate ML deployment options. Integrate model performance management tools into the current business infrastructure. Team Management Resourcing: Support recruitment process to onboard the right resources for the team. Talent Management: Support onboarding and training for team members to enhance capability & effectiveness. Manage team attrition. Performance Management: Conduct timely performance reviews and provide constructive feedback to direct reports. Be a role model to the team for the five habits. Ensure that the Performance Nxt process is followed for the entire team. Employee Satisfaction and Engagement: Lead and drive engagement initiatives for the team. Performance Parameters: No. Performance Parameter Measure 1. Demand generation Order booking 2. Revenue generation through delivery Timeliness, customer success stories, customer use cases 3. Capability Building & Team Management % trained on new skills, Team attrition % Mandatory Skills: AI Cognitive Experience: 5-8 Years About Wipro Wipro is building a modern digital transformation business with bold ambitions. Join a team that values reinvention of yourself, your career, and your skills. Wipro is a place that empowers you to design your own career reinvention, evolve, and grow. Applications from people with disabilities are explicitly welcome.

Business Intelligence Manager | Power BI | Data Analytics | SQL | Bangalore Location: Bangalore, India Department: Business Analytics & Insights Reports To: Director, Business Analytics & Insights Experience Required: 5+ years in Business Intelligence or Data Analytics Industry: SaaS / Revenue Lifecycle Management About Conga: At Conga, we empower businesses to drive transformational revenue growth by aligning their teams, processes, and technology. Our revenue lifecycle management platform simplifies the complexity of order configuration, fulfillment, and contract renewals through a unified data model and automation. Our culture is defined by the Conga Way a values-based framework that shapes our decision-making, teamwork, and innovation. Position Overview Business Intelligence Manager: We re seeking an experienced Business Intelligence (BI) Manager to join our team in Bangalore. In this critical role, you will lead the transformation of large and complex datasets into actionable insights using Power BI, drive data governance, and automate reporting processes to support strategic decision-making across the organization. Key Responsibilities: Power BI Expertise: Build and optimize advanced Power BI dashboards and reports using DAX and complex data modeling. Team Leadership: Manage and mentor BI developers and analysts, ensuring high-quality and scalable insights delivery. SQL & Data Warehousing: Leverage SQL (preferably with Snowflake) for data transformation and efficient report querying. Automation: Streamline reporting processes using Power Automate and related tools, improving efficiency and accuracy in executive and board-level reporting. Data Governance: Implement data quality, security, and governance standards to ensure reliable analytics. Documentation: Maintain clear and complete documentation of BI solutions, data flows, and reporting logic. Stakeholder Collaboration: Translate business requirements into technical specifications and collaborate with the enterprise data team to enhance existing models and analytics solutions. Qualifications: Minimum 5 years of experience in BI, analytics, or data reporting roles, with at least 2 years leading a team. Proficiency in Power BI, DAX, and SQL. Experience working with Snowflake or other cloud data platforms. Strong understanding of customer retention, renewals, or customer success metrics. Familiarity with Power Automate or similar automation tools is a plus. Demonstrated experience in data governance, data quality control, and standardization across reporting environments. Bachelor s or Master s degree in Engineering or a related technical field. A technical degree with an MBA is preferred. Excellent communication skills capable of presenting technical insights to both business and technical audiences. Join a forward-thinking SaaS company leading the charge in revenue lifecycle management. Work in an inclusive, values-driven environment with opportunities for career development and innovation. Be part of a culture where clarity, collaboration, and customer-centricity drive everything we do. Qualification : Bachelors or Masters degree in Engineering or a related technical field. A technical degree with an MBA is preferred.

Senior Manager Business Intelligence | Power BI | Data Strategy | SQL | Bangalore Location: Bangalore, India Reports To: Director, Business Analytics & Insights Experience: 8+ years in Business Intelligence / Analytics Leadership Industry: SaaS | Revenue Lifecycle Management | Data & Analytics About Conga: At Conga, we empower businesses to achieve transformational revenue growth by aligning teams, technology, and processes through our comprehensive Revenue Lifecycle Management solutions. We simplify complexity across contract management, order execution, fulfillment, and renewals using a unified data model built to adapt to dynamic business needs. Our culture is defined by the Conga Way a people-first framework developed with input from employees that guides everything we do from hiring to leadership to innovation. Role Overview Senior Manager, Business Intelligence: We are seeking a highly driven Senior Manager Business Intelligence to lead our Power BI development team, drive analytics strategy, and modernize how we deliver data insights across the organization. Based in Bangalore, this high-impact leadership role is responsible for building scalable reporting infrastructure, streamlining automation, and delivering clear, actionable insights for senior stakeholders and executive decision-makers. Why this role matters: This position plays a critical role in transforming business intelligence from manual reporting to dynamic, real-time dashboards using Power BI. Your contributions will shape how our business leaders consume data, identify opportunities, and make informed decisions faster and with more accuracy. Key Responsibilities: Leadership & Oversight: Manage and mentor a team of Power BI developers and data analysts, guiding prioritization, best practices, and technical problem-solving. Foster a culture of data-driven decision-making across the organization. BI Development & Data Modeling: Lead the development of interactive Power BI dashboards, leveraging advanced DAX functions and data models. Utilize SQL (preferably in Snowflake) to support backend data transformation and reporting. Stakeholder & Project Management: Collaborate with cross-functional teams, including IT and enterprise analytics, to define project scopes, business priorities, and reporting solutions. Translate ambiguous business requirements into clear, actionable technical specifications. Data Governance & Documentation: Implement and oversee data quality, security, and governance standards across all BI assets. Maintain comprehensive documentation for BI tools, data models, and business logic. Automation & Process Efficiency: Oversee automation of recurring deliverables including board reports, senior leadership dashboards, and key business performance metrics. Leverage Power Automate and other workflow tools to reduce manual effort and enhance reporting accuracy. Strategic Data Integration: Partner with enterprise data teams to improve data integration and ensure scalability and reusability of analytics assets. Qualifications: 8+ years of experience in Business Intelligence, Analytics, or Data Strategy, including team leadership. Strong hands-on experience with Power BI, DAX, and SQL (preferably with Snowflake or similar cloud platforms). Proven success in project management, requirement gathering, and stakeholder engagement across multiple business units. Bachelor s or Master s degree in Engineering, Computer Science, or related technical field. An MBA is strongly preferred. Experience in data governance, automation, and working in a SaaS or enterprise software environment is a plus. What Sets You Apart: Excellent communicator You bridge the gap between technical and non-technical stakeholders with ease. Strategic mindset You think beyond dashboards to the big picture of business impact. Problem solver You enjoy tackling complex data challenges and finding innovative solutions. Passionate leader You inspire teams, drive accountability, and bring a growth mindset to everything you do. Drive data transformation at a high-impact SaaS company. Be part of a people-first culture that values growth, innovation, and inclusivity. Work on mission-critical projects that support strategic decision-making for global leadership. Qualification : Bachelors or Masters degree in Engineering, Computer Science, or related technical field. An MBA is strongly preferred.

Your Impact As a Data Science Analyst at McKinsey, you will collaborate closely with the Insights & Analytics (IA) group and consulting teams to solve analytically complex client problems in the marketing domain. You will apply advanced analytical and modeling techniques, drawing insights through statistical techniques and predictive modeling to guide marketing efforts. Your primary responsibility will be client service, with an additional focus on knowledge development within the team. Key activities will include: Performing statistical analysis and modeling to support marketing-related client engagements. Developing and refining statistical models aimed at optimizing pricing strategies and promotional activities. Providing guidance to teams on analytics projects, particularly on technique and modeling-related issues. Supporting the development and maintenance of McKinsey s proprietary marketing techniques and contributing to other knowledge development initiatives. Coaching and mentoring new hires by sharing your business, technical, and functional expertise. Delivering high-quality, client-ready end products on time, with attention to detail and performing quality checks as required. Your Growth You will be a key part of McKinsey s Growth, Marketing & Sales (GM&S) team, based in either Gurgaon or Bengaluru, primarily supporting the Insights & Analytics (IA) group of GM&S. This team leverages McKinsey's decades of experience in marketing and sales to help leading companies improve pricing, promotions, assortments, and performance management. The GM&S Solutions team blends cutting-edge software, tailored services, and deep expertise to provide clients with a comprehensive view of their commercial and financial performance. By integrating various data sources into a central data warehouse, the team enables clients to make informed decisions using advanced analytics. McKinsey Solutions fosters innovation in areas such as design thinking, mobile, and social, helping to reshape the consulting model toward asset-based solutions. This is a growing area within McKinsey, with a vibrant ecosystem of alliances, strategic acquisitions, and the development of new products and services that redefine how McKinsey works with clients. As part of McKinsey Solutions, you ll be part of a team of more than 1,000 dedicated professionals, including over 800 analysts and data scientists, working on impactful, innovative solutions. Your Qualifications and Skills Mandatory: Master s degree in Statistics, Economics, Econometrics, Computer Science, Engineering, Mathematics, or an MBA with a strong quantitative background. 2+ years of relevant work experience in analytics, business intelligence, or advanced analytics with an analytics firm. Proficiency in statistical programming software such as Python, and comfortable working with large datasets. Familiarity with R and SQL is also preferred. Experience in handling large volumes of data, including data manipulation, data cleansing, and data matching using tools like R, SQL, and Excel VBA. Strong analytical and problem-solving skills, with the ability to break down complex issues, identify root causes, and recommend actionable solutions. Knowledge of forecasting, regression analysis, and segmentation methodologies. Experience with modeling techniques, including logistic regression, linear regression, cluster analysis, CHAID, and similar approaches. Industry experience in consumer goods, telecom, or retail is a plus. Ability to thrive in a dynamic and evolving environment where priorities change frequently, and methodologies are often challenged. Capacity to work efficiently under pressure and meet tight deadlines. Qualification : Masters degree in Statistics, Economics, Econometrics, Computer Science, Engineering, Mathematics, or an MBA with a strong quantitative background.

Job Title: Senior Revenue Operations Analyst Job Summary We are seeking an experienced Senior Revenue Operations Analyst to join our team. You will support the daily Order to Cash operations supporting the global revenue accounting operations and revenue close process. You will play an essential role in data integrity; ensuring all customer, opportunity, and subscription information is accurate and reportable. You will partner with other teams to create and promote a scalable order to cash process. This will be the first hire for the site! The Impact You Will Have Analyze signed contracts and completed orders for completeness, accuracy, and compliance with company bookings and revenue recognition guidelines. Partner with Sales, Deal Desk, Renewals, Collections, Legal, and Revenue teams to develop expertise in order-to-cash policies and procedures. Create and maintain detailed records in our ERP and billing platform to support billing, commissions, forecasting, and revenue recognition processes, adhering to internal service level agreements. Generate and maintain comprehensive documentation of policies and processes, and assist in identifying process improvement and automation opportunities. Execute month-end accounting and reporting activities, ensuring timely and accurate financial close processes. Document controls and procedures for both new and existing business models to maintain compliance and operational excellence. Manage special projects as assigned, delivering accurate and timely results. Provide audit support for both control and substantive testing, ensuring compliance with internal and external requirements. Collaborate on process and system implementation and enhancement projects, assisting with user acceptance testing (UAT) as needed. Proactively identify areas for process optimization, recommending and implementing best practices for efficiency and scalability. Ensure data integrity and accuracy within financial systems by performing regular reviews and audits. Partner with the finance transformation, IT, and engineering teams to streamline revenue operations processes. What We Look For Bachelor s degree in Finance, Accounting, Business Administration, or a related field preferred. Minimum of 6 years of revenue operational accounting experience. Strong accounting background with experience in revenue operational accounting and financial close processes. Strong understanding of usage-based billing models and associated financial processes. Proficiency with ERP systems and payment processing platforms; experience with a global ERP such as NetSuite and Salesforce is required. High level of analytical skills with the ability to interpret large datasets, generate reports, and perform complex reconciliations using spreadsheet software (e.g., Excel, Google Sheets). Effective communication and interpersonal skills for collaboration with cross-functional teams. 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. To learn more, follow Databricks on Twitter, LinkedIn, and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Qualification : Bachelors degree in Finance, Accounting, Business Administration, or a related field preferred.

Job Title: Usage Manager Job Summary We are seeking an experienced Usage Manager to join our team. You will support the daily Order to Cash operations by helping lead the global revenue accounting operations and revenue close process. You will play an essential role in data integrity; ensuring all customer usage information is accurately reportable. You will partner with other teams to create and promote a scalable order to cash process. This is an individual contributor position, and will be the first hire in India! The Impact You Will Have Lead and manage a team of Revenue Operations Analysts, including performance management, coaching, and development. Manage escalations related to order-to-cash processes, ensuring timely resolution and communication with stakeholders. Monthly metrics highlighting performance against agreed SLAs and KPIs. Maintain and/or create detailed SOPs for all processes. Prepare proposed usage adjustments and credits, when applicable. Analyze usage for signed contracts with assurance to accuracy and compliance with company revenue recognition guidelines. Partner with Sales, Deal Desk, Billing, Engineering, IT, Legal, and Revenue Teams to develop expertise in order-to-cash policies and procedures specific to usage. Create and maintain detailed records in our ERP and billing platform NetSuite/Metronome to support billing, commissions, forecasting, sales, and revenue recognition processes, adhering to internal service level agreements. Generate and maintain comprehensive documentation of policies and processes, and assist in identifying process improvement and automation opportunities. Execute month-end accounting and reporting activities, ensuring timely and accurate financial close processes. Document controls and procedures for both new and existing business models to maintain compliance and operational excellence. Manage special projects as assigned, delivering accurate and timely results. Change management or SOPs with any system enhancements. Provide audit support for both control and substantive testing, ensuring compliance with internal and external requirements. Collaborate on process and system implementation and enhancement projects, assisting with user acceptance testing (UAT) as needed. Proactively identify areas for process optimization, recommending and implementing best practices for efficiency and scalability. What We Look For Bachelor s degree in Finance, Accounting, Business Administration, or a related field preferred. Minimum of 8 years of revenue operational accounting experience, with demonstrated experience leading and managing teams. Strong understanding of usage-based billing models and associated financial processes. Proficiency with ERP systems and payment processing platforms; experience with a global ERP such as NetSuite and Salesforce is required. High level of analytical skills with the ability to interpret large datasets, generate reports, and perform complex reconciliations using spreadsheet software (e.g., Excel, Google Sheets). Ability to adapt to evolving business needs and drive change management. Must be adaptive to change. Proven ability to manage team performance, provide constructive feedback, and foster a positive and productive team environment. 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. To learn more, follow Databricks on Twitter, LinkedIn, and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Qualification : Bachelors degree in Finance, Accounting, Business Administration, or a related field preferred.

Summary / Role Purpose The Strategic Account Executive with around 15 years of experience will be responsible for sales and ensuring customer satisfaction. The candidate should be willing to collaborate with the complete ecosystem and be committed to supporting Ansys in achieving its business goals. This role involves executive-level partnership engagement to generate substantial revenue growth potential. Key Duties and Responsibilities Achieve business targets by ensuring order closures in alignment with quarterly business goals. Develop existing customer relationships and identify new business opportunities. Travel to customer sites (minimum 50% travel expected). Utilize MEDDIC, Challenger selling, and act as a trusted advisor to customer leadership. Accurately forecast annual, quarterly, and monthly revenue streams. Follow business ethics and adhere to Ansys' values and policies. Manage Enterprise Accounts with a focus on sustainable customer engagement, collaboration, and executive sponsorship. Understand the customer s ecosystem, business priorities, and challenges to align Ansys solutions with impactful business outcomes. Identify customer problems and create ROI-based proposals aligned with business outcomes. Establish a long-term account plan with executive buy-in from Ansys leadership. Plan for executive-level sponsorship and manage ongoing business relationships. Map customer relationships and understand key decision-makers and influencers. Establish relationships with customer executives who can serve as business champions. Collaborate with Global Account Teams, product specialists, business partners, and other Ansys functions. Organize seminars and training with presales engineers to enhance Ansys presence. Monitor customer satisfaction and address concerns. Facilitate multiyear deal contract negotiations for mutually beneficial agreements. Minimum Education/Certification Requirements Bachelor s degree in Engineering or a related field. An MBA is a plus. Preferred Qualifications and Skills Experience in Global, Enterprise, Captives, or OEM accounts. Minimum 10+ years of experience in Account Management, Enterprise, or Strategic Sales. Preferable sales experience in Engineering Simulation, CAD, PLM, or Manufacturing Solutions. Experience with IoT, Digital Twin, ML, AI, VR, or platform solutions is a plus. Our Commitments Amaze with innovative products and solutions. Make our customers incredibly successful. Act with integrity. Ensure employees thrive and shareholders prosper. Our Values Adaptability: Be open, welcome what s next. Courage: Be courageous, move forward passionately. Generosity: Be generous, share, listen, serve. Authenticity: Be you, make us stronger. Our Actions We commit to audacious goals. We work seamlessly as a team. We demonstrate mastery. We deliver outstanding results. Inclusion is at Our Core We believe diverse thinking leads to better outcomes. We are committed to creating and nurturing a workplace that welcomes people from all backgrounds, identities, and experiences. Welcome What s Next in Your Career at Ansys At Ansys, you will be part of a team of visionary leaders and innovative thinkers who strive to change the world with cutting-edge technology and solutions. We hold high standards and seek individuals who are ready to meet challenges head-on. Join us in pushing the limits of simulation technology to help customers bring innovative products to market faster and at a lower cost. At Ansys, it s about learning, discovery, and collaboration. We celebrate what s next as much as we celebrate accomplishments. We foster an environment built on respect, autonomy, and ethics, where individuals can grow and contribute to meaningful projects.

About the Job Join us as a Generative AI Engineer, where you ll design and develop cutting-edge AI-powered solutions that redefine creativity and innovation. Your work will push the boundaries of what s possible in content generation, from text and images to audio and beyond. In this job, you will: Research & Development: Stay up-to-date with the latest advancements in generative AI and deep learning. Contribute to the development of novel models, exploring innovative algorithms and methodologies. Model Architecture: Design custom generative models using neural network architectures like GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and others tailored for specific applications. Data Processing: Prepare and preprocess large-scale datasets for model training. Apply techniques like data augmentation, normalization, and transformation to improve performance. Training & Optimization: Train generative models using frameworks like TensorFlow and PyTorch, optimizing for efficiency, speed, and quality. Hyperparameter Tuning: Fine-tune models for optimal performance, balancing convergence speed, stability, and output diversity. Evaluation Metrics: Develop metrics to assess the quality, diversity, and novelty of generated content. Continuously iterate and improve models based on these metrics. Deployment: Work with software engineers to integrate generative models into production systems, ensuring scalability, reliability, and performance. Collaboration: Partner with data scientists, machine learning engineers, designers, and product managers to translate business requirements into generative AI solutions. Documentation: Document research, experiments, and codebase thoroughly for internal use and external stakeholders. Continuous Learning: Stay informed on emerging technologies, attend industry events, and contribute to ongoing innovation. Qualifications Bachelor s, Master s, or Ph.D. in Computer Science, Engineering, or related fields. Strong foundation in machine learning, deep learning, and neural networks. Proficiency in Python and relevant AI libraries (e.g., TensorFlow, PyTorch). Hands-on experience with generative models like GANs, VAEs, and their practical applications. Solid understanding of data preprocessing, feature extraction, and model evaluation. Experience training and optimizing neural networks on large-scale datasets. Familiarity with cloud computing and distributed systems (AWS, Azure, GCP) is a plus. Strong problem-solving skills and a creative mindset. Excellent communication and teamwork abilities. A portfolio of generative AI projects or publications is a strong advantage. About Gramener We create software that tells data stories. For example: We advised a global computer manufacturer to focus on order delivery time, increasing NPS by 18% and generating incremental revenue of >$50M. We helped a foundation predict mosquito release points, reducing the process time from 3 weeks to 2 hours in their mission to protect 100M lives from malaria over 5 years. We re good at what we do, which is why we re growing 40% year-over-year. We re looking for passionate innovators to help us scale further. First-hand experience with C-suite-focused business advisory in data & analytics. Opportunities to collaborate with data science experts, domain champions, and client teams, being part of transformative change. A chance to experiment, take risks, and solve meaningful problems. Supportive colleagues and a dynamic environment you ll love working in. Key Metrics for Success Solution quality and business value delivered to clients. Successful project deliveries. Customer satisfaction on engagements. Qualification : Bachelors, Masters, or Ph.D. in Computer Science, Engineering, or related fields.

Job Role: Front-End Specialist The Front-End Specialist will be responsible for validating customer orders submitted to the order desk, ensuring accurate network design, raising supplier purchase orders (POs), and maintaining the integrity of network inventory, systems, and databases. The role involves working closely with sales channels to verify customer requirements, raising workflow orders, and modeling various Vodafone fixed-line products in inventories to enable Transmission and IP configuration in the network, ultimately supporting successful provisioning activities. Key Accountabilities and Decision Ownership: Order Management: Create orders and build attributes in workflow tools within agreed SLAs and quality standards. Order Validation: Validate internal/external customer requests against checklists, generate order tracking references, and update customer information in the order tracking tool. Data Enrichment: Enrich digitally received orders in digital tools and record relevant customer order forms, site lists, and technical documents in the repository. Feasibility Checks: Confirm solution feasibility using feasibility tools and collaborate with the Feasibility team to ensure alignment with customer requirements. Customer Order Processing: Analyze customer requirements, check for technical documents and pricing, and raise customer orders in workflow tools. Exception Handling: Follow up on exceptions raised with the order originator and ensure timely resolution. Customer Communication: Send KCI (Keep Customer Informed) templates to originators with order-related information after validation. Supplier Management: Check financial margin and commercial viability of supplier quotes and raise POs in SAP against these quotes. Network Configuration: Create customer location, devices, and third-party network blocks. Configure VRFs in L3 NNIs, SDWAN bearers, and Internet Gateway in Cramer. Build end-to-end circuits in Transmission Inventory and generate Work Action Group tasks for SDH builds, cross-connects, and field engineer activities. Model end-to-end customer circuits from network site to customer location and create technical routing and service configurations. Generate circuit references in Cramer for IP builds in MSP, SDWAN, and Internet networks. Update circuit references in various inventories and close tasks in the workflow system. Issue Escalation: Raise process/product issues to the Front-End Manager. Ensure order accuracy and timely raising of customer orders in systems. Collaboration: Work closely with solution sales, feasibility planners, and order workflow managers to ensure first-time-right order placement. Technical and Professional Qualifications: Strong understanding of telecom fixed-line products, technologies, and systems. Good knowledge of SDH, IP, Routing & Switching concepts. Basic understanding of financial and non-financial metrics related to profit and loss performance. 3 years of operational experience in a telecom company. University degree or equivalent full-time qualification. Strong communication skills, customer focus, and the ability to handle workload peaks in a fast-paced sales environment. Qualification : University degree or equivalent full-time qualification.

About the job At Google, data drives all of our decision-making. Quantitative Analysts work all across the organization to help shape Google's business and technical strategies by processing, analyzing and interpreting huge data sets. Using analytical excellence and statistical methods, you mine through data to identify opportunities for Google and our clients to operate more efficiently, from enhancing advertising efficacy to network infrastructure optimization to studying user behavior. As an analyst, you do more than just crunch the numbers. You work with Engineers, Product Managers, Sales Associates and Marketing teams to adjust Google's practices according to your findings. Identifying the problem is only half the job; you also figure out the solution. Responsibilities Interact cross-functionally with a variety of leaders and teams, and work with Engineers and Product Managers to identify opportunities for design and to assess improvements for advertising measurement products. Collaborate with teams to define questions about advertising effectiveness, incrementality assessment, the impact of privacy, user behavior, brand building, bidding etc., and develop and implement quantitative methods to answer those questions. Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct analyses that include data gathering and requirements specification, exploratory data analysis (EDA), model development, and delivery of results to business partners and executives. Build and prototype analysis pipelines iteratively to provide insights at scale. Develop knowledge of Google data structures,metrics, advocating for changes where needed for product development. Minimum qualifications: Master's degree in Statistics or Economics, a related field, or equivalent practical experience. 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree. Experience with statistical data analysis such as linear models, multivariate analysis, causal inference, or sampling methods. Experience with statistical software (e.g., SQL, R, Python, MATLAB, pandas) and database languages along with Statistical Analysis, Modeling and Inference. Preferred qualifications: Experience translating analysis results into business recommendations. Experience understanding potential outcomes framework and with causal inference methods (e.g., split-testing, instrumental variables, difference-in-difference methods, fixed effects regression, panel data models, regression discontinuity, matching estimators). Experience selecting tools to solve data analysis issues. Experience articulating business questions and using data to find a solution. Knowledge of structural econometric methods. Qualification : Master's degree in Statistics or Economics, a related field, or equivalent practical experience.

About Us We are looking for driven individuals who want to innovate, achieve, grow, and lead. Join one of the world s largest providers of products and services to the global energy industry. We invest in our employees, offering opportunities for professional development and growth in a challenging and rewarding environment. Job Summary As an Opportunity to Cash (OTC) Specialist, you will support the OTC Global Business Services (GBS) value stream, focusing on end-to-end processes from sales to fulfillment and invoicing. You will gain hands-on experience in business development (Pricing & Contracts or Proposals & Quotes) or operations (Sales Order Management or Invoicing). This entry-level role offers exposure to various aspects of the OTC process, with opportunities for on-the-job training and continuous improvement. Key Responsibilities Support OTC processes, including receiving, processing sales, fulfillment, and invoicing for goods and services. Work in business development or operations, depending on the assigned function. Create, edit, manage, and validate internal and customer data with a focus on accuracy and timeliness. Communicate with internal teams and clients to ensure efficient data management. Participate actively in continuous improvement initiatives for OTC processes. Ensure compliance with all safety and environmental regulations. Qualifications Education: High school diploma or equivalent required; business degree preferred. Experience: Minimum of 3 months of office environment experience. Previous experience in the oil and gas industry, especially in business development, field operations, or field engineering, is a plus. Skills & Competencies Strong attention to detail and data accuracy. Effective communication and collaboration skills. Ability to manage and process large volumes of data within deadlines. Willingness to learn and contribute to continuous improvement efforts. Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Qualification : High school diploma or equivalent required; business degree preferred.

We are looking for a proactive Technology Enthusiast to join us as IT Service Manager for Bangalore. You will control the entire lifecycle of our mobile estate from device procurement through retirement and optimize costs and usage with global Enterprise Mobility Management (EMM). A passion for technology, excellent analytical skills, and the ability to thrive in a cross-cultural environment are key attributes we seek. If you are curious, driven, and eager to explore new possibilities, we'd love to talk to you about this exciting opportunity. About You experience, education, skills, and accomplishments Collaborate with cross-functional teams and 3rd party to address service issues, fostering effective communication and coordination to achieve resolution. Bachelor s degree in Computer Science, Engineering, Mathematics, etc or equivalent experience. Minimum 5 years of experience in Troubleshoot and resolve complex hardware, software, and network-related problems Oversee enterprise mobility suite from cost optimization to device lifecycle management with managed mobility service experience It would be great if you also had . . . Experience in building, managing, and maintaining a knowledge base containing policies, procedures, documentation, and knowledge base articles This role involves working closely with various departments (IT, T&E, Finance and 3rd Party Supplier) to optimize mobile device usage, manage mobile expenses, and ensure compliance with company policies. Proficiency in personal computer operating systems, security and office automation software, including Microsoft Windows 10, Teams, Outlook, Word, Excel, PowerPoint, LucidChart, Microsoft SCCM, and Microsoft Office 365. Provide support and solutions include request fulfilment, incident resolution, IT services and implementation, knowledge management and unified endpoint management. Accelerate employee onboarding and productivity through seamless mobile carrier management, adding service to an existing device, order new device. Support our UEM deployment with mobility management to provide policy and compliance management, and endpoint security to protect against threats and data breaches. Gain visibility to our enterprise mobility expenses, data and usage. Discover cross-category trends and configure custom reporting dashboards to efficiently manage and validate contracts, inventory, invoices, processing and payments to reduce costs and optimize resources. Elevate enterprise mobility suite through granular mobile expense management insights and configurable analytics dashboards. Accurately allocate mobile costs at a global scale and enable strategic decision-making to optimize our mobile estate. Track and report on resolution and performance metrics related to mobile device management and support Efficiently plan budgets and align our mobile estate with our organization's financial goals to optimize our enterprise mobility suite. Monitor and analyze team performance metrics related to Service Level Agreements (SLAs) and Key Performance Indicators (KPIs), identifying areas for improvement and implementing strategies to optimize service delivery. About the Team Global IT Workplace Services function with team members based across multiple geographies in across the Globe. The team comprises 50 Members and reports to the Director of Global IT Workplace Services. Hours of Work Fulltime 45 h/week Hybrid working model At Clarivate, we are committed to providing equal employment opportunities for all persons with respect to hiring, compensation, promotion, training, and other terms, conditions, and privileges of employment. We comply with applicable laws and regulations governing non-discrimination in all locations. Qualification : Bachelors degree in Computer Science, Engineering, Mathematics, etc or equivalent experience.

Job Summary: Google Cloud is seeking a Program Manager to join our Scaled Services team in Go-to-Market (GTM) Strategy and Operations. This role will focus on operational excellence, helping optimize seller and compensation operations, and enabling growth by improving processes that support the cloud seller experience. You will work with cross-functional teams to design, launch, and optimize operational processes across vendor teams and key business functions. Key Responsibilities: Lead high-priority escalations from intake to resolution, ensuring effective execution and closure. Analyze and optimize operational performance by identifying and articulating process improvement opportunities. Collaborate with Compliance, Finance, Payroll, and Regional Strategy teams to optimize timelines for case resolution and ensure smooth operations. Deliver process optimization that enhances efficiency and reduces friction in key business operations, including order management and compensation. Build relationships and influence cross-functional teams to drive continuous improvements across escalation paths and business processes. Translate business needs into technical requirements, working with Engineering and other internal teams to implement scalable solutions. Track and resolve issues related to data quality, account, billing, planning, quota, and attainment. Minimum Qualifications: Bachelor s degree or equivalent practical experience. 3+ years of experience in program or project management. Proven experience in translating business needs into technical requirements. Experience working with executive-level clients or stakeholders. Preferred Qualifications: Experience in managing vendor relationships and third-party collaboration. Experience with Salesforce or other CRM/ERP systems. Experience in process design and re-engineering, optimizing workflows and operational efficiency. Why Join Google Cloud? At Google Cloud, you'll be part of a team that accelerates digital transformation for organizations worldwide. This role offers a chance to work with cutting-edge technology and collaborate with various teams to enhance the seller experience while optimizing key operational processes. Qualification : Bachelor's degree or equivalent practical experience.