Ranking Models Jobs in Bengaluru

Position: Head of Strategy and Finance Location: Bengaluru Employment Type: Full-Time About Zolve Zolve is a cross-border neo-bank empowering global citizens, migrants, and nomads to access financial products and credit seamlessly across countries. By leveraging home-country credit scores, Zolve provides financial freedom to pursue ambitions without geographical constraints. Our offerings include checking accounts, credit cards, remittances, insurance, and loans. As we expand across geographies, product lines, and customer segments, we are seeking a dynamic Head of Strategy and Finance to shape the company s financial vision and strategic roadmap. Role Overview The Head of Strategic Finance will operate at the intersection of finance, strategy, and operations, ensuring **capital efficiency, profitability, and data-driven growth**. This leadership role partners closely with founders and the executive team to balance immediate execution with long-term strategic initiatives in a fast-growing, global fintech environment. Key Responsibilities Financial Planning & Analysis (FP&A) Lead **budgeting, forecasting, and scenario modeling** to provide actionable insights for business decisions. Monitor **unit economics, ROI, and profitability** in collaboration with product, growth, and business teams. Strategy & Business Leadership Lead strategic projects, including new product evaluations, **cross-border expansion, investments, and potential M&A opportunities**. Provide **data-driven recommendations** to guide operational and strategic initiatives. Investor Relations & Governance Manage relationships with investors and provide clear, **insightful board reporting**. Translate complex financial data into coherent narratives for stakeholders. Team Leadership & Development Build, mentor, and lead a **high-performing finance and strategy team**. Foster a culture of **analytical rigor, ownership, and collaboration** across functions. Compliance & Risk Management Ensure timely statutory, internal, and audit compliance across entities. Maintain operational agility while adhering to regulatory requirements. Qualifications Education: CA / CPA / MBA (preferably from a Tier-1 institute). Experience: **10 15 years post-qualification** in strategic finance, FP&A, or similar roles. Experience in **fintech, cross-border banking, or high-growth startups** is highly desirable. Proven expertise in **financial leadership, strategic planning, capital management, and investor relations**. Hands-on experience with **fundraising, M&A, or cross-border financial operations** is a strong advantage. Skills & Competencies: Strong **analytical, communication, and leadership skills**. Comfortable operating in a **fast-paced, cross-geography environment**. Ability to balance **long-term strategic vision with short-term execution demands**. Qualification : CA / CPA / MBA (preferably from a Tier-1 institute)

Lead Machine Learning Engineer Location: Bangalore | Employment Type: Full-time About the Role We are seeking a talented and driven Lead Machine Learning Engineer to join Avaamo s Product Engineering team. In this role, you will have the opportunity to shape and enhance the core features of our search technology stack, focusing on areas like search ranking models, query understanding, and natural language question answering. What You ll Do Innovate and expand the capabilities of our search stack, including ranking models, query parsing, and NLP-driven question answering. Gain a deep understanding of search usage patterns and user needs, identifying areas for improvement and growth. Design, prototype, and iterate on cutting-edge ML/NLP/Information Retrieval solutions to enhance our search functionality. Develop and optimize an experimentation framework to evaluate and track improvements to the search stack. Write clean, efficient, and maintainable code that is easy to test and scale. Mentor junior engineers, fostering a collaborative learning environment and sharing your expertise. What You Bring (Qualifications) A BS in Computer Science or a related field. 5+ years of hands-on experience in machine learning, NLP, or related fields. Strong analytical and data-driven mindset, with the ability to extract insights and build effective solutions. Experience in recommendation systems, natural language processing, LLMs, applied machine learning, or large-scale search/ranking systems. Key Skills & Qualities Collaborative, customer-focused, and team-oriented, with a willingness to contribute across multiple areas of the product. Proactive, positive, and self-driven, with the ability to take ownership of both small tasks and large features. Proven experience in designing and building complex search/ranking/recommendation systems. Strong proficiency in Python programming. About Avaamo Avaamo is a deep-learning software company that focuses on creating advanced conversational interfaces to solve high-impact problems in the enterprise space. We are at the forefront of AI technologies, working on neural networks, speech synthesis, and deep learning to transform how enterprises engage with conversational computing. Qualification : BS in Computer Science or a related field

Business Analyst Location: Bengaluru Employment Type: Full-Time About Zolve Welcome to the financial frontier of limitless possibilities welcome to Zolve. We're not just a fintech company we're reimagining global finance. As the world s first cross-border neo-bank, Zolve empowers global citizens, migrants, and nomads to access credit and financial services in their new country based on their home country credit profile. With products like checking accounts, credit cards, loans, remittances, and insurance, Zolve is eliminating borders in banking helping people be financially free and pursue their ambitions wherever they are. As we expand into new geographies and product lines, we re looking for a Business Analyst to help us drive data-backed decisions and create meaningful impact across our business. About the Role As a Business Analyst at Zolve, you ll act as a critical link between business stakeholders and technical teams. Your role will involve analyzing complex data, generating insights, and presenting actionable recommendations that support decision-making across the organization. You ll collaborate cross-functionally with product, growth, engineering, and leadership teams to shape the future of our cross-border financial solutions. Key Responsibilities Data Analysis & Insights Query, manipulate, and analyze large datasets using SQL and Python Identify trends, patterns, and anomalies to uncover business opportunities and risks Deliver actionable insights that influence product, growth, and strategy decisions Data Visualization & Storytelling Translate data into compelling narratives through dashboards, reports, and visualizations Build and maintain dashboards using tools like Tableau, Power BI, Metabase, etc. Stakeholder Collaboration Work closely with business, product, and engineering teams to gather requirements and define analytical solutions Communicate findings clearly and effectively to both technical and non-technical audiences Data Quality & Governance Ensure the accuracy, integrity, and consistency of data through validation and quality checks Partner with data engineering to improve data infrastructure and reporting capabilities Integration & Automation Build and maintain scripts to integrate data between internal systems and third-party platforms Support automation of recurring reporting and analytics processes Qualifications Education & Experience Bachelor's degree in a relevant field (Engineering, Mathematics, Economics, Business, etc.) 3+ years of experience as a Business Analyst, Data Analyst, or in a similar analytical role Technical Skills Strong proficiency in SQL and Python for data extraction and analysis Advanced Excel skills including pivot tables, lookups, and complex formulas Experience with data visualization tools such as Tableau, Power BI, or Metabase Preferred Qualifications Experience in data modeling and database design Exposure to statistical methods and predictive analytics Domain experience in fintech, e-commerce, or healthcare is a plus What You'll Love at Zolve Mission-driven work that makes a global impact Fast-paced, startup environment with real ownership and responsibility Collaborate with smart, ambitious, and kind teammates Opportunity to grow with a rapidly expanding fintech company Qualification : Bachelor's degree in a relevant field (Engineering, Mathematics, Economics, Business, etc)

Associate Director Finance Location: Bangalore Experience Required: 15 25 Years Qualification: Chartered Accountant (CA) Preferred Certifications: ACCA, CPA, CFA, CIMA Job Summary We are seeking a dynamic and experienced Associate Director Finance to lead our global financial operations. The ideal candidate will bring extensive financial leadership experience, particularly across international geographies, and a deep understanding of both Indian and global financial standards. This strategic role will support the company s growth trajectory by aligning financial management with business objectives while ensuring compliance, efficiency, and performance across all regions. Key Responsibilities Strategic Financial Leadership Develop and execute financial strategies to support global growth and business expansion. Partner with senior management to provide financial insights and recommendations for long-term profitability. Lead financial due diligence and integration in case of mergers, acquisitions, or market entries. Financial Planning & Analysis Drive budgeting, forecasting, and long-term financial planning across multiple geographies. Deliver accurate, timely consolidated financial reporting in compliance with international accounting standards. Monitor key financial metrics, analyze business trends, and identify cost optimization opportunities. Compliance & Risk Management Ensure compliance with tax laws, statutory regulations, and financial reporting requirements across jurisdictions. Liaise with external auditors, tax consultants, legal advisors, and regulatory bodies. Monitor and manage financial risk, currency exposure, and regulatory compliance. Treasury & Cash Flow Management Oversee global cash flow, liquidity management, and banking relationships. Optimize working capital, manage intercompany transactions, and implement transfer pricing strategies. Develop and execute funding strategies, investment policies, and capital allocation plans. Team Leadership & Process Improvement Lead and mentor finance teams across multiple locations to build a high-performance culture. Implement and enhance ERP systems (experience with ZOHO is a plus) and financial reporting tools. Establish scalable internal controls, automation, and process improvements for operational efficiency. Required Skills & Experience Chartered Accountant (CA) with 15 25 years of progressive financial leadership experience. Proven experience managing finance functions across geographies and multi-entity environments. Strong understanding of Indian and international accounting standards, tax regulations, and compliance requirements. Demonstrated success in strategic financial planning, cash flow optimization, and managing global teams. Proficiency in ERP systems (ZOHO preferred), financial modeling, and reporting tools. Excellent leadership, interpersonal, and stakeholder management skills. Preferred Qualifications (Added Advantage) ACCA, CPA, CFA, or CIMA certification. Experience in high-growth, multinational environments. Prior involvement in scaling finance functions for international expansion. Be part of a global organization with ambitious growth plans. Work closely with leadership in shaping financial strategy and operations. Lead transformative initiatives in a dynamic and innovation-driven environment. Competitive compensation and leadership development opportunities. Qualification : Chartered Accountant (CA)

Associate Credit Operations Job Type: Full-Time Category: Operations Location: Bangalore About Bright Bright is a consumer fintech company dedicated to helping Americans get out of debt using advanced data science and machine learning. Our mobile app integrates all the tools needed for managing and eliminating debt covering credit score building, automated debt paydown plans, financial and budget planning, and loan refinancing across credit cards, student loans, and car loans. With 300,000+ users, 6x growth in the last year, and over 100,000 ratings and reviews, Bright is one of the fastest-growing fintech platforms in the U.S. Supported by top venture capital firms like Sequoia, Falcon Edge, and Hummingbird, Bright has raised over $40 million in funding, including a recent $50M debt financing from Encina Lender Finance. Bright is ranked among the top 8 U.S. fintech companies and is poised to become a top-100 financial institution by leveraging data science and predictive modeling. We are proud to be building the first large-scale consumer tech company from India for global markets. About Our Founders Bright was founded in 2019 by industry veterans from McKinsey s Banking Practice and data scientists from InMobi: Petko Plachkov, Avi Patchava, Varun Modi, Avinash Ramakath, and Jayashree Merwade. Role Overview As an Associate Credit Operations professional, you will play a crucial role in assessing creditworthiness, supporting loan underwriting and approval, and ensuring smooth credit operations. You will work closely with cross-functional teams to monitor credit metrics, facilitate collections, and drive improvements in operational efficiency. Key Responsibilities Conduct thorough creditworthiness assessments following company policies and guidelines. Review customer profiles and credit applications against underwriting standards. Manage loan approval processes and support decision-making with sound judgment. Utilize collection systems to assist in managing delinquent accounts and dues recovery. Monitor and report on credit-related performance metrics regularly. Handle customer conflicts and disputes with a strong customer-centric approach. Investigate customer requests by gathering relevant data and exploring all information sources. Identify opportunities for process improvements to increase efficiency and effectiveness. Collaborate with teams to ensure compliance with credit policies and regulatory requirements. 1-2 years of experience in credit assessment, underwriting, or a related role. Strong understanding of credit product workflows and end-to-end process flows. Familiarity with credit risk assessment principles and banking domain knowledge. Knowledge of the U.S. credit environment and regulatory framework is a plus. Excellent verbal and written communication skills. High analytical and investigative capabilities. Ability to manage credit-related metrics and performance indicators. Strong negotiation, interpersonal skills, and ability to handle conflicts diplomatically. Join a fast-growing fintech startup backed by leading investors. Gain exposure to credit operations and risk management in a global context. Work alongside experienced professionals passionate about transforming consumer finance. Opportunity to grow within a dynamic, collaborative environment.

Position: Data Analyst 3 Location: Bengaluru Department: Growth & Strategy Employment Type: Full-Time Job Description: We are seeking an experienced Data Analyst to develop and maintain interactive dashboards, design data models, and extract actionable insights to support strategic business decisions. This role requires proficiency in Tableau and/or Qlik Sense and the ability to lead a team of analysts. Key Responsibilities: Develop, maintain, and enhance interactive dashboards and reports using Tableau and/or Qlik Sense. Design and implement efficient data models to underpin visualizations and analytical processes. Analyze data from multiple sources to identify trends, patterns, and actionable insights. Write scripts and utilize calculated fields to transform and manipulate data within visualization platforms. Migrate dashboards between platforms (e.g., Qlik Sense to Tableau) as needed. Adhere to best practices in data visualization, dashboard design, and data modeling. Communicate findings effectively to stakeholders and collaborate with cross-functional teams such as sales, marketing, and engineering. Mentor and lead a team of data analysts, fostering growth and knowledge sharing. Required Skills and Experience: Minimum 4 years of relevant experience in data analysis and visualization. Proficiency in Tableau and/or Qlik Sense, including scripting and calculated fields. Strong data modeling skills and experience with relational databases (e.g., SQL Server, Oracle). Excellent analytical and problem-solving abilities. Outstanding communication and presentation skills. Industry experience in Fintech, Payments, Finance, Banking, Digital Commerce, Healthcare, or related sectors is a plus. Who You Are: A problem-solver with a knack for uncovering insights from complex data sets. An excellent communicator, able to explain data-driven insights clearly and effectively. Hands-on and proactive, committed to staying updated with the latest tools and technologies. A respected team player and leader known for your analytical depth and influence.

Position: MIS Analyst Location: Bangalore Experience: 0 2 years Industry: Fintech / Financial Services About Muthoot FinCorp ONE Muthoot FinCorp ONE is the digital arm and strategic business unit of Muthoot FinCorp Ltd., a trusted name in financial services. We re building a robust digital ecosystem that offers customers access to a wide range of financial products across Lending, Saving & Investment, Protection, and Remittance. As a fintech startup with the backing of a legacy brand, we combine innovation with reliability. Our mission is to simplify financial access through a seamless, user-friendly platform and to be the most trusted digital financial services provider in the country. Startup agility with enterprise stability High-growth, high-ownership environment Mentorship from industry veterans Attractive compensation and benefits Work on real impact projects from day one Role Overview: As an MIS Analyst, you will play a key role in leveraging data to drive strategic decision-making. You ll be responsible for reporting, analysis, and generating business insights that influence product, marketing, operations, and revenue strategies. Key Responsibilities: Analyze business data to identify patterns, trends, and actionable insights Design, build, and manage internal dashboards and reporting tools to track key performance indicators (KPIs) Deliver weekly, monthly, and ad-hoc reports for senior leadership and business teams Collaborate with cross-functional teams to understand data needs and support strategic initiatives Work with large datasets to uncover insights related to user behavior, channel performance, customer journeys, etc. Conduct deep dives into key business questions using SQL, R, Excel, or Python Communicate findings clearly to both technical and non-technical stakeholders Create models and frameworks to predict business outcomes and identify opportunities Ensure data integrity and accuracy across reports and visualizations Support campaign analysis and performance tracking for digital marketing efforts Key Skills & Qualifications: Bachelor's in Engineering, Mathematics, Statistics, or related discipline OR MBA from a reputed institute 0 2 years of experience in MIS, Data Analysis, or Business Analytics Proficiency in SQL and data visualization tools like Tableau, Power BI, QlikView Experience with reporting tools (e.g., Business Objects, Excel) Working knowledge of statistics and tools like R, SAS, SPSS Familiarity with data pipelines and querying large datasets Strong analytical skills and attention to detail Excellent communication and presentation skills Prior experience or understanding of NBFCs, banking, or lending products is a plus Preferred Tools & Platforms: SQL / Hue / ETL frameworks Tableau / Power BI / QlikView R / Python Excel / Google Sheets Join us at Muthoot FinCorp ONE and make your mark on the digital financial landscape. Apply now and let s build the future together. Qualification : Bachelor's in Engineering, Mathematics, Statistics, or related discipline

Position: Senior/General Manager Corporate Development Location: Bangalore Department: Zetwerk Corporate About Zetwerk Zetwerk is the world s largest global manufacturing network for custom manufacturing, transforming digital designs into high-quality physical products. From simple steel pipes to complex aerospace components, we serve a broad range of industries from traditional sectors like Oil & Gas, Infrastructure, and Aerospace to modern ones such as Renewables, EVs, and Consumer Electronics. Through a network of 1,000+ manufacturing partners, Zetwerk offers advanced capabilities like CNC machining, 3D printing, plastic injection molding, and die casting supported by our proprietary Manufacturing Operating System (ZISO) that delivers real-time tracking, quality assurance, and end-to-end transparency. Why Join Zetwerk We are transforming the future of manufacturing with technology at our core. At Zetwerk, you ll work with ambitious, innovative teams and industry leaders, helping shape how the world builds. We offer you the platform to grow your career, make a tangible impact, and thrive in a collaborative, inclusive culture. Role Overview We are looking for a strategic and driven Senior/General Manager Corporate Development to join our high-performing team. You will lead initiatives that drive Zetwerk s long-term growth ranging from M&A evaluation to partnership development, international expansion, and IPO preparedness. This is a high-impact role with direct visibility to leadership and the opportunity to help shape Zetwerk s future. Key Responsibilities Mergers & Acquisitions (M&A): Identify and evaluate acquisition opportunities aligned with Zetwerk s strategic goals Conduct in-depth market research, financial modeling (DCF, comparables, ROI), and scenario analysis Lead due diligence across legal, financial, tax, and operational domains Create investment memos and board-level presentations Corporate Strategy & Development: Monitor industry trends and competitive landscapes to propose new strategic initiatives Assess expansion into adjacent markets (geographic or technological) Support post-deal integration, performance tracking, and synergy realization Collaborate with cross-functional teams and external stakeholders on deal structuring IPO & Strategic Finance Support: Drive IPO readiness initiatives including internal process improvement, governance, and documentation Assist with investor communications, benchmarking, and capital markets analysis Coordinate with finance, legal, and compliance teams to ensure audit and disclosure readiness Experience: 6 14 years in Corporate Development, M&A, Investment Banking, Private Equity, or related roles Education: MBA with CA/CFA/Engineering background preferred (flexible for exceptional candidates) Skills: Advanced financial modeling and valuation expertise Strong analytical, communication, and presentation skills Ability to lead multiple high-impact projects simultaneously Understanding of regulatory and compliance frameworks What Zetwerk Offers A high-growth environment with unparalleled learning and leadership opportunities A culture that values innovation, ownership, and collaboration Career advancement in a rapidly growing company redefining manufacturing Competitive compensation and performance-linked rewards A chance to be part of a once-in-a-lifetime journey building a world-class business Shape the future of global manufacturing with Zetwerk. Apply now and be part of the revolution. Qualification : MBA with CA, CFA, or Engineering preferred

Customer Success Engineer II Technical Support | Cloud & SaaS Location: Bangalore, India Job Type: Full-Time | Customer Success | Cloud Technology | Technical Support About Rubrik s Customer Support & Success Team Rubrik s Global Customer Support and Success Organization is committed to delivering an outstanding post-purchase experience. Our team of seasoned experts ensures smooth deployment, adoption, and continued usage of Rubrik s cloud data management and Zero Trust Data Security solutions. We handle complex technical support cases, guide customers through SaaS product adoption, and provide strategic consultation across a wide range of cloud platforms, data security tools, and enterprise IT ecosystems. Our engineers work closely with cross-functional teams, acting as trusted advisors and primary technical contacts, to maintain high standards of data protection, incident resolution, and customer success. About the Role We are looking for a highly skilled Customer Success Engineer II to join our fast-paced support team. In this role, you will provide enterprise-level technical support for Rubrik s data security solutions via phone, web, chat, and email. You will troubleshoot complex technical issues, support diverse cloud deployments, and deliver excellent service across hybrid infrastructure environments. Key Responsibilities Handle technical support tickets ranging from basic queries to advanced troubleshooting across cloud platforms and virtualized environments. Independently diagnose and resolve customer issues involving snapshots, replication, backup and recovery, data management, and infrastructure. Utilize cloud infrastructure knowledge to provide guidance and recommend best practices (AWS, Azure, GCP). Collaborate with internal teams such as Engineering and Escalations to resolve critical incidents. Deliver high-quality customer communication, ensuring transparency and issue resolution from start to finish. Author and contribute to technical documentation, including knowledge base articles, FAQs, and deployment guides. Continuously improve case resolution processes and provide insights into recurring issues. Analyze and report root causes; work with developers to file bugs and enhance product reliability. Share feedback and insights with product teams to drive platform improvements and enhance customer satisfaction. Support automation, DevOps, and microservices architecture as part of troubleshooting modern enterprise stacks. Required Skills & Experience 3+ years in a technical support, DevOps, or cloud infrastructure role supporting enterprise environments. Strong knowledge of VMware, Linux, Kubernetes, and cloud platforms like AWS, Azure, and Google Cloud Platform (GCP). Hands-on experience with Office 365 APIs, Microsoft SQL databases, scripting languages such as Python or Perl, and automation tools. Deep understanding of SaaS systems, cloud deployment models, and data protection principles. Demonstrated problem-solving skills with a passion for learning and adapting to new technologies. Ability to write clear technical documentation and communicate complex concepts to diverse audiences. Bachelor's degree in Computer Science, Information Technology, or related technical field. Preferred Qualifications Experience in supporting data backup and recovery, storage solutions, or cybersecurity tools. Exposure to Zero Trust Security models, data compliance standards, or incident management workflows. Strong collaboration skills with internal development, QA, and customer success teams. Previous experience contributing to internal knowledge systems or customer-facing documentation. At Rubrik, we are redefining data security and resilience. Our award-winning platform, Rubrik Security Cloud, powered by machine learning, protects enterprise, cloud, and SaaS environments from ransomware, cyber threats, and downtime. You ll work with passionate professionals who are dedicated to helping businesses secure their critical data and recover quickly in times of crisis.

Sr. Software Engineer, Search Relevance (Applied AI) Location: Bengaluru, India Company: Databricks Role Overview Join Databricks Applied AI team to develop and improve ML-powered search relevance systems. You will work on enhancing search ranking, query understanding, and building evaluation frameworks to enable scalable, seamless search experiences across millions of data assets on the platform. Key Responsibilities Develop and deploy ML/NLP-based relevance models integrated with Databricks products. Design automated pipelines for data preprocessing, query understanding, ranking, retrieval, and model evaluation. Collaborate with product managers and cross-functional teams to innovate in search and discovery features. Build robust frameworks for offline and online evaluation of search ranking improvements. BS or higher (MS/PhD preferred) in Computer Science or related fields. 6+ years of experience developing large-scale search relevance systems or impactful research. Experience applying Large Language Models (LLMs) to search relevance. Expertise in one or more of: query understanding, NLP, text mining, recommendations, personalization, discovery, conversational AI. Strong computer science fundamentals. Contributions to popular open-source projects a plus. Work with cutting-edge AI models and a world-class team to shape the future of AI-driven data products. Databricks powers data intelligence for thousands of organizations globally and fosters an environment of innovation and collaboration. Qualification : BS or higher (MS/PhD preferred) in Computer Science or related fields.

Staff Software Engineer, Machine Learning (Search) Location: Bengaluru, India Company: Databricks Role Overview Join Databricks Applied AI team as a Staff Engineer to lead advancements in Search Quality. This role focuses on improving search ranking, query understanding, and building scalable evaluation frameworks to enhance discovery across millions of data assets on the platform. Key Responsibilities Lead development and deployment of ML/NLP-based search relevance models integrated with Databricks products. Design and build automated ML pipelines for data preprocessing, query understanding/rewrite, ranking, retrieval, and evaluation. Collaborate with product managers and cross-functional teams to drive strategic search product innovations. Develop robust frameworks for offline and online evaluation of search ranking improvements. BS or higher (MS/PhD preferred) in Computer Science or related fields. 10+ years experience building search relevance systems at scale in production or research environments. Experience applying Large Language Models (LLMs) to search relevance problems. Expertise in query understanding, NLP, text mining, recommendations, personalization, discovery, or conversational AI. Strong computer science fundamentals. Contributions to popular open-source projects is a plus. Work at the forefront of AI-driven data products, collaborate with top AI/ML experts, and influence how thousands of organizations discover and interact with data. Databricks offers a cutting-edge platform and a collaborative, innovative culture. Qualification : BS or higher (MS/PhD preferred) in Computer Science or related fields.

Product Manager Location: Bengaluru, Karnataka, India Department: Product Engineering Experience: 5 8 Years Employment Type: Full-Time About the Role We re looking for a Product Manager who thrives on building enterprise-grade products from the ground up. In this role, you ll own the P&L for custom-built, high-impact self-service apps developed for Fortune 500 clients ranging from performance monitoring to advanced analytics. These products already show 3x 5x ROI within the first year, and you ll be central to scaling that success. You will lead cross-functional squads of engineers, data scientists, designers, and BAs through the 0-to-1 journey across more than 30+ products in development. This is your chance to work on deeply technical solutions while driving product vision, delivery, and value realization. What You ll Do Product Development & Delivery Own and drive the entire product lifecycle from discovery to go-to-market and continuous iteration. Collaborate with engineering and design teams to translate requirements into feature-rich, scalable applications. Manage timelines, scope, and quality to ensure timely and high-quality product delivery using Agile/Scrum methodologies. Strategic Product Ownership Collaborate closely with clients to co-create tailored solutions that address specific business challenges. Define product goals, success metrics, and prioritization frameworks that align with business outcomes. Participate in core platform strategy meetings to influence the architecture powering all client-facing products. Technical Collaboration Partner with technical architects to design system architecture that is scalable and cloud-optimized. Oversee DevOps and CI/CD pipelines, promoting seamless development-to-deployment workflows. Ensure efficient data pipeline development, warehousing, and transformation aligned with product needs. Quality, Testing, and Rollout Define and manage test strategy including unit testing, automation suites, and QA gates. Own production rollouts and ensure smooth post-launch monitoring and feedback loops. Key Requirements Technical Skills 5 8 years of experience in product management, particularly for custom or data-driven applications. Hands-on experience working with UI/UX teams, and comfort with technologies such as React, Python, APIs, HTML/CSS. Understanding of cloud environments (AWS, Azure, GCP) and cost-optimized architectures. Familiarity with ETL processes, data lakes/warehouses, and modern product analytics frameworks. Non-Technical Skills Exceptional problem-solving, communication, and stakeholder management skills. Ability to juggle multiple priorities in a fast-paced environment while keeping teams aligned and motivated. Experience working with project management tools such as JIRA, Confluence, or similar platforms. Preferred Qualifications Proven experience managing multiple cross-functional product teams. Demonstrated ability to build from scratch ideate, prototype, iterate, and launch. Exposure to product-led growth strategies or enterprise SaaS models. Work on cutting-edge enterprise solutions used by Fortune 500 companies. Be part of a fast-paced, high-ownership environment where your contributions directly impact business outcomes. Collaborate with top-tier tech, data, and design teams to build transformative tools. Shape the future of self-service analytics and intelligent apps.

Principal Data Scientist / Data Science Manager Ads Team Location: Bangalore, Karnataka | Department: Tech Shape the Future of AdTech at Meesho Join Meesho s high-impact Data Science team often compared to the Avengers for our ability to solve some of the toughest data problems in India s e-commerce landscape. We build intelligent, scalable systems that serve millions of users across diverse product categories. Our work in fraud detection, inventory optimization, and platform vernacularization continues to unlock new possibilities in digital commerce. Now, as part of our Ads team, we re seeking a visionary Principal Data Scientist / Data Science Manager to elevate our advertising technology through cutting-edge machine learning solutions. About the Role As a leader within our AdTech division, you ll design, implement, and scale innovative ML solutions for real-time bidding, ad ranking optimization, budget pacing, and performance measurement. Your work will drive business impact and help define the future of our monetization strategy. Key Responsibilities Design and develop advanced bidding and budget pacing algorithms to optimize ad spend and ROI Create experimental frameworks to measure ad effectiveness and attribution Collaborate cross-functionally to transform business needs into efficient AI/ML-based solutions Define and communicate the long-term data science roadmap with business and tech leadership Mentor junior data scientists and guide team-level strategy Lead research initiatives in ML, auction theory, and AdTech domains Required Qualifications B.Tech in Computer Science, Machine Learning, or related field with 6+ years of hands-on experience Strong expertise in auction theory, predictive modeling, causal inference, and reinforcement learning Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow Experience with big data tools and environments Proven ability to mentor teams and manage complex analytical projects Excellent written and verbal communication skills Preferred Qualifications M.Tech or Ph.D. in Computer Science or related discipline with ML specialization 3+ years of experience working in AdTech, real-time bidding systems, or programmatic advertising Track record of taking ML research to production Publications in top-tier AI conferences (e.g., NeurIPS, ICML, ICLR, KDD, CVPR, AAAI) About Meesho Meesho is India s top-rated e-commerce workplace and the first Indian horizontal e-commerce platform. We empower over 1.75 million sellers and serve customers across every serviceable pincode in India. Our platform enables small businesses and entrepreneurs to thrive online by offering zero commission, lowest shipping cost, and state-of-the-art logistics support. We combine local relevance with a strong technology backbone to deliver a uniquely inclusive shopping experience. Our Mission Democratizing Internet Commerce for Everyone We aim to enable 100 million small businesses to sell online. Our seller-first approach, innovation-first culture, and focus on the underserved population of Bharat drive everything we do. Our Culture & Benefits At Meesho, we ve built a people-first, high-performance culture backed by 11 guiding principles (our "Mantras"). Our employees benefit from a workplace that encourages reflection, continuous growth, and mobility. What We Offer: Competitive compensation including equity options and performance bonuses Comprehensive wellness support via our MeeCare Program medical, mental, and financial wellbeing Flexible benefits, including generous leave policies, parental support, and L&D assistance Support with relocation, telehealth, fitness, and recreational discounts Frequent engagement activities, performance recognition, and a fun, inclusive environment If you are ready to lead transformative projects in advertising and machine learning at scale, apply today and help us redefine commerce in India. Apply now and join Meesho s Data Science revolution. Qualification : B.Tech in Computer Science, Machine Learning, or related field with 6+ years of hands-on experience

Data Scientist with GenAI-2 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 Key Responsibilities: Research, design, develop, and modify computer vision and machine learning algorithms and models, leveraging technologies such as Caffe, Torch, or TensorFlow. Shape product strategy for highly contextualized applied ML/AI solutions by engaging with customers, solution teams, discovery workshops, and prototyping initiatives. Help build a high-impact ML/AI team by supporting recruitment, training, and development of team members. Serve as an evangelist by engaging in the broader ML/AI community through research, speaking/teaching, formal collaborations, and/or other channels. Design integrations of and tune machine learning and computer vision algorithms. Research and prototype techniques and algorithms for object detection and recognition. Use Convolutional Neural Networks (CNN) for performing image classification and object detection. Familiarity with Embedded Vision Processing systems. Work with open-source tools & platforms for statistical modeling, data extraction, and analysis. Construct, train, evaluate, and tune neural networks. Mandatory Skills: Proficiency in Java, C++, Python. Experience with Deep Learning frameworks such as Caffe, Torch, TensorFlow. Experience with image/video vision libraries like OpenCV, Clarifai, Google Cloud Vision. Expertise in Supervised & Unsupervised Learning. Development of feature learning, text mining, and prediction models (e.g., deep learning, collaborative filtering, SVM, random forest) on big data computation platforms (Hadoop, Spark, HIVE, Tableau). Familiarity with technologies such as Tableau, Hadoop, Spark, HBase, Kafka. Experience: 2-5 years of work or educational experience in Machine Learning or Artificial Intelligence. Experience in creating and applying Machine Learning algorithms to a variety of real-world problems with large datasets. Building scalable machine learning systems and data-driven products working with cross-functional teams. Experience with cloud services like AWS, Microsoft, IBM, and Google Cloud. Experience with Natural Language Processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems, or similar fields. Nice to Have: Contribution to research communities and/or efforts, including publishing papers at conferences such as NIPS, ICML, ACL, CVPR, etc. Education: BA/BS (advanced degree preferable) in Computer Science, Engineering, or related technical field or equivalent practical experience. 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. Qualification : BA/BS (advanced degree preferable) in Computer Science, Engineering, or related technical field or equivalent practical experience.

Principal Applied Scientist Location: Bangalore, Karnataka, India Employment Type: Full-Time Overview Join the Computational Advertising Team within the AI & Research organization at Microsoft. We are seeking a passionate Principal Applied Scientist with expertise in machine learning, deep learning, natural language processing, and optimization. The team works on some of the most exciting problems in machine learning, powering the search advertising ecosystem of Bing, which holds a 30% share of desktop search in the US and a significant presence worldwide. The Principal Applied Scientist will contribute to building large-scale machine learning systems that model user responses, ranking, and various other business applications. Your work will have direct business impact, collaborating with top-tier machine learning scientists and engineers to deliver innovative solutions. Key Responsibilities Design & Implement ML Algorithms: Develop, tune, and analyze complex algorithms for large datasets and real-time systems in the advertising ecosystem. Productionize Machine Learning Models: Focus on deploying machine learning models in large-scale production environments, ensuring high-quality and sustainable performance. Collaborate with Experts: Work closely with cross-functional teams of scientists and engineers to integrate advanced machine learning techniques into production systems. Research & Development: Contribute to ongoing research in machine learning, optimization, and information retrieval to advance the core technologies in search advertising. Mentorship & Thought Leadership: Share your expertise with the team, mentor junior scientists, and help shape the direction of research efforts within the team. Qualifications Required Qualifications: Bachelor's degree in Statistics, Econometrics, Computer Science, Electrical Engineering, or related field AND 6+ years of relevant experience (e.g., statistics, predictive analytics, research), OR Master's degree in a related field AND 4+ years of relevant experience, OR Doctorate in a related field AND 3+ years of relevant experience, OR Equivalent experience in machine learning, research, or applied statistics. Additional Requirements: Strong understanding of probability, statistics, machine learning, A/B testing, and optimizing ML models for accuracy. Experience with distributed computing systems (e.g., Hadoop, Spark) for large-scale training and prediction with ML models. Hands-on experience implementing machine learning algorithms from research papers to production systems. Expertise in TensorFlow or PyTorch and deep learning models. Preferred Qualifications: Solid understanding of natural language processing (NLP), information retrieval, and optimization techniques. Experience working with large-scale, real-time systems and databases. Strong track record of delivering machine learning systems to production and optimizing them at scale. Microsoft s mission is to empower every person and organization on the planet to achieve more. At Microsoft, you ll have the opportunity to work with the brightest minds, contribute to cutting-edge AI advancements, and make a significant impact in a growing $100 billion global market. Employee Benefits Industry-leading healthcare coverage Generous paid time off and family leave policies Access to continuous learning and professional development resources Employee discounts and savings programs Opportunities to collaborate with the world s leading AI experts Global networking and community engagement opportunities Microsoft is an equal opportunity employer. We are committed to fostering an inclusive environment where all individuals are treated with respect, regardless of race, gender, religion, disability, or any other characteristic protected by law. Qualification : Bachelor's degree in Statistics, Econometrics, Computer Science, Electrical Engineering, or related field AND 6+ years of relevant experience (e.g., statistics, predictive analytics, research), OR Master's degree in a related field AND 4+ years of relevant experience, OR Doctorate in a related field AND 3+ years of relevant experience, OR Equivalent experience in machine learning, research, or applied statistics.

Gen AI Engineer - L1 | Bengaluru, India About Wipro Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a global IT consulting and services company with over 230,000 employees across 65 countries. We offer innovative solutions in consulting, engineering, and operations to solve complex digital transformation challenges. Role Overview We are looking for an experienced Gen AI Engineer - L1 with deep expertise in Generative AI, LLMs, RAG pipelines, and Python-based machine learning frameworks. The role will focus on developing secure, scalable AI systems using modern tools and cloud platforms. Key Responsibilities Design, implement, and optimize generative AI models using LangChain, LLaMA, Hugging Face, etc. Develop RAG pipelines and integrate with LLMs for advanced AI solutions. Create, test, and optimize prompt templates across different base models. Implement guardrails for prompt security to prevent prompt injection, jailbreaks, and leaks. Build efficient backend applications using Python, Django, and related tools. Work with vector databases to enhance generative AI workflows. Collaborate on data grooming and model training across business units. Benchmark model performance and develop auto-prompting systems. Ensure adherence to minimum design standards in prompt engineering use cases. Mandatory Skills Gen AI, LLMs, RAG Pipelines LangChain, LLaMA, Hugging Face Python, TensorFlow, PyTorch, Django NLP, Machine Learning, Deep Learning Vector Database integration Preferred Skills Azure or AWS Cloud Platforms MLOps, Kubernetes GitHub, Bitbucket Experience with GPT-4 Domain exposure in Banking or Financial Services Join Wipro to be part of a company that thrives on innovation, reinvention, and digital excellence. Work on impactful GenAI projects, grow your career, and contribute to shaping the future of AI in real-world applications. We welcome applications from individuals with disabilities.

Data Engineer (Python/Dataiku/Spark/SAS DI) Location: Bangalore Type of Employment: Full-Time Experience Required: 3 to 5 years Job Overview: We are looking for a passionate Data Engineer with expertise in Python, Dataiku, Spark, or SAS DI to join our dynamic team. In this role, you will collaborate with clients to build data pipelines that support their Data and Analytics journey. As a member of our team, you will be responsible for driving data engineering initiatives, developing and implementing ETL solutions, and optimizing data workflows for efficiency and scalability. Key Responsibilities: Data Engineering Initiatives: Collaborate with clients to define and implement data engineering initiatives based on business needs. ETL Development: Design and develop data integration solutions using tools like Python, Dataiku, Spark, and SAS DI. Develop and maintain automated data pipelines for real-time and batch data ingestions. Performance Tuning: Conduct performance tuning and optimize queries and data models to enhance performance and scalability. Database Design: Design and implement database objects such as tables, views, schemas, and stored procedures. Ensure data quality and consistency across the data warehouse. Collaboration: Work closely with cross-functional teams to translate business requirements into technical solutions and communicate effectively with clients across multiple regions. Troubleshooting: Troubleshoot and resolve data-related issues while ensuring the quality and integrity of the data. Project & Technical Leadership: Act as the technical lead or single point of contact (SPOC) for the client and internal teams, ensuring smooth project delivery. Essential Skills: Data Engineering Tools: Experience with Python, Dataiku, Spark, and SAS DI. SQL Proficiency: Strong SQL experience for extracting data from various databases and performing data analysis. ETL Development: Expertise in designing and developing ETL processes to integrate data from diverse sources into a data mart layer. Data Modeling: Understanding of data modeling concepts, including relational and dimensional modeling. BI Knowledge: Basic understanding of Business Intelligence (BI) tools and analytics needs. Communication Skills: Excellent communication skills to understand business requirements and translate them into technical solutions. Desirable Skills: Data Analysis: Strong analytical skills to perform data analysis, especially for banking products data. BI Tools: Experience with MicroStrategy or Power BI for reporting and dashboarding. Qualifications: 3+ years of experience designing and developing scalable data integration solutions. Familiarity with data analytics and reporting needs. Technical certifications that align with your continuous learning aspirations. Qualities: Strong problem-solving skills with a systematic approach to resolving issues. Ability to influence and implement change confidently. Excellent team player who works effectively in cross-functional teams. Strong communication and presentation skills, capable of interacting with clients and presenting ideas persuasively. Fluent in English, both written and spoken, for effective communication. Opportunity to work with cutting-edge data engineering tools and technologies. Be a key player in building and optimizing data pipelines for clients data and analytics needs. Competitive salary, benefits, and a dynamic, innovative work culture.

Job Description You are a strategic thinker passionate about driving solutions in Analytics Solutions. You have found the right team. As an Analytics Solutions Associate in our Finance team, you will spend each day defining, refining and delivering set goals for our firm. You will be responsible for the design, implementation and execution of end-to-end processes supporting U.S. Regulatory Reporting including Consolidated, Capital, Standalone and CCAR/DFAST reporting, regulatory reporting training and exam management. Additionally, FRRA drives broader strategic initiatives across external reporting including accountability, error and issue management, manual adjustments, variance analysis, quality assurance and the target U.S. Regulatory Reporting platform. The FRRA Innovation team sits within FRRA and is responsible for leading the development and implementation of Business Intelligence, Data Analytics and Intelligent automation solutions, identifying and delivering process automation and technology innovation, supporting the reporting production close, and helping to define and design multi-year business infrastructure strategy. Job Responsibilities Implement process automation solutions across the business using Business Intelligence tools. Drive process discovery through partnerships with key stakeholders in the business. Follow established project lifecycle from end to end to deliver timely, efficient, and fit-for-purpose solutions. Engage partners such as FRRA process owners, Center of Excellence teams, and Control partners through established forums. Assist with various aspects of project management including development of project plans, task management, design, testing scenarios and analysis, implementation, and procedural / operating model documentation. Collaborate with system / data owners and business project teams to improve overall data quality and implement tactical solutions to automate repetitive, manual data clean-up and aggregation work. Develop expertise in existing and future strategic data source systems to streamline and improve information content, transparency, and delivery. Communicate summary of analysis and findings thoroughly and succinctly (summary of facts, data sources, analyses performed, conclusions, and recommendations) to various stakeholders, including executive leadership and participate/lead Innovation forums. Stay up-to-date with industry trends and best practices in process automation, analytics, and innovation. Required Qualifications, Capabilities, and Skills Minimum 3 years experience in design and delivery of analytics, reporting and process automation solutions. Advanced data transformation skills using Alteryx and/or Python. Experience with data visualization tools (e.g., Tableau, Power BI) and analytics platforms. Strong project management skills with the ability to manage multiple projects simultaneously. Good analytical and presentation skills. Willingness to learn and adopt new cutting edge technologies, toolsets and techniques. Excellent communication and interpersonal skills, with the ability to collaborate effectively with diverse teams. Preferred Qualifications, Capabilities, and Skills Bachelor's degree in Computer Science, Information Technology, Business Administration, or a related field. Finance experience a plus. Certifications in process automation or data analytics. Knowledge of SQL and/or RPA tools like UIPath. Experience with process review, discovery and reengineering. Understanding of workflow automation tools such as Pega or ServiceNow. Experience in a similar role within a fast-paced, innovative environment. About Us JPMorgan Chase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. Qualification : Bachelor's degree in Computer Science, Information Technology, Business Administration, or a related field. Finance experience a plus.

Your Impact As a Data Engineer at QuantumBlack, you will collaborate with stakeholders, data scientists, and internal teams to develop and implement impactful data products and solutions. Your key responsibilities will include building and maintaining technical platforms for advanced analytics, designing scalable and reproducible data pipelines for machine learning, and ensuring information security within data environments. You will assess clients' data quality, map data fields to hypotheses, and prepare data for use in analytics models. Additionally, you will contribute to R&D projects, internal asset development, and participate in cross-functional problem-solving sessions with a variety of stakeholders, including C-level executives, to create innovative analytics solutions. You will be based in Gurugram, joining a global data engineering community, and work within cross-functional and Agile project teams alongside project managers, data scientists, machine learning engineers, other data engineers, and industry experts. You will collaborate directly with our clients, ranging from data owners and users to C-level executives. You will be aligned with one of our industry-focused practices: Pharma & Medical Products (PMP) or Global Energy & Materials (GEM). In these practices, you ll work on solving the most critical challenges for our clients in these sectors. PMP focuses on advancing the development and delivery of life-saving medicines and medical treatments, while GEM supports industries like chemicals, steel, mining, and energy to achieve operational excellence. GEMx and PMPx, the assetization arm of these practices, focus on creating reusable digital and analytics assets to support client work. As part of this team, you will help shape impactful solutions for large organizations, developing capabilities for sustained impact. Your Growth In this role, you will contribute to the frameworks and libraries that our teams of Data Scientists and Engineers use to progress from data to meaningful impact. You will have the opportunity to guide global companies through data science solutions, helping them transform and enhance performance across industries including healthcare, automotive, energy, and elite sports. Real-World Impact: You ll gain unique learning and development opportunities globally. Fusing Tech & Leadership: Work with the latest technologies and methodologies, with access to top-tier learning programs. Multidisciplinary Teamwork: Collaborate with data scientists, engineers, project managers, UX designers, and more to enhance performance. Innovative Work Culture: Creativity, passion, and wellness are central to our modern work environment, which includes insightful talks, training sessions, and a focus on work-life balance. Striving for Diversity: We celebrate diversity, with colleagues from over 40 nationalities, appreciating the value that diverse perspectives bring to the workplace. You are a highly collaborative individual who prioritizes impact over agenda. You enjoy learning from colleagues, challenging ideas thoughtfully, and working together to improve processes and solve problems. You believe in iterative change, experimenting with new approaches, and advancing quickly through constant learning and improvement. While we value using the right tech for the right task, our team often leverages technologies such as Python, PySpark, SQL, Airflow, Databricks, Kedro (our open-source data pipelining framework), Dask/RAPIDS, Docker, Kubernetes, and cloud solutions like AWS, GCP, and Azure. Your Role as a Data Engineer Collaboration: Work with business stakeholders, data scientists, and internal teams to create extraordinary, domain-focused data products (reusable assets) and deliver them to clients. Domain Expertise: Develop deep understanding of client industries and use creative techniques to deliver meaningful impact. Technical Platforms: Build and maintain technical platforms for advanced analytics engagements, spanning both data science and data engineering work. Data Pipelines: Design and implement robust, modular, scalable, deployable, and reproducible data pipelines for machine learning. Data Management: Ensure the security of data environments and compliance with information security standards. Data Wrangling: Assess data quality, map data fields to hypotheses, and prepare data for analytics models. Contribute to R&D: Participate in internal asset development and contribute to R&D projects to drive innovation. Cross-functional Problem Solving: Collaborate with internal teams and clients, including data owners and C-level executives, to create impactful analytics solutions. Your Qualifications and Skills Bachelor s degree in computer science or related field; Master's degree is a plus. 2-5 years of relevant work experience. Proficiency in at least one programming language such as Python, Scala, or Java. Strong experience with distributed processing frameworks (e.g., Spark, Hadoop, EMR) and SQL. Experience in commercial client-facing projects, particularly in close-knit teams. Ability to work with structured, semi-structured, and unstructured data, and identify linkages across disparate data sets. Clear communication skills to explain complex solutions effectively. Understanding of information security principles to ensure compliant handling of client data. Experience with cloud platforms (AWS, Azure, Google Cloud, Databricks) is highly desirable. Experience with CI/CD processes using GitHub Actions, CircleCI, or similar, and end-to-end pipeline development including application deployment is a plus. Qualification : Bachelors degree in computer science or related field; Master's degree is a plus.

At Jupiter, we understand that money is more than just a subject it s a part of life that evokes emotions. Our mission is to help people improve their relationship with money. As a modern financial services platform, we leverage technology to offer seamless and user-friendly products across banking, loans, and investments. From savings accounts and credit cards to investments and payments, everything is made simple and accessible on Jupiter. We also help users cut through the jargon, offer smart insights based on their spending habits, and provide innovative features to help them make sense of their finances. Our Journey So Far Founded in 2019 by Jitendra Gupta, a visionary entrepreneur best known for Citrus Pay, Jupiter s journey began with a powerful idea: to revolutionize personal finance by providing a customer-centric experience. Our journey kicked off with a waitlist of 100,000 eager users, and in just 10 months, we reached 1 million users. Today, we proudly serve over 2.8 million happy users. Our Insights feature automatically tracks spending, even on external savings accounts. Our Edge CSB Bank RuPay credit card is loved for its transparent design and rewarding experience. Our No-Penalty SIP and Daily SIP at just Rs 10 have been instrumental in scaling our investments business, with over 100,000 users investing to fulfill their financial aspirations. With cutting-edge technology, data analytics, and a diverse team of creative thinkers and industry experts, we continue to build a more accessible, transparent, and inclusive financial ecosystem. Now, we are looking for like-minded individuals to join our growing team. Who We re Looking For We are seeking a Credit Card Acquisition/Sales Manager who has deep expertise in driving credit card sales through digital channels. This high-impact role is an individual contributor position responsible for meeting aggressive sales targets through digital partnerships, assisted digital sales, and direct outreach. The ideal candidate should have proven experience in driving high-volume credit card issuance and a thorough understanding of the credit approval and onboarding process. Roles and Responsibilities Sales Target Ownership: Own and deliver monthly/quarterly credit card sales targets through digital sales channels. High-Quality Acquisitions: Drive quality credit card acquisitions via: Digital Aggregator Partnerships: Collaborate with fintech companies, NBFCs, and aggregators to distribute credit cards. B2B & Corporate Alliances: Lead credit card issuance through employer partnerships and business tie-ups. Assisted Digital Sales Models: Engage potential customers with guided sales processes to improve conversions. Key Metrics Management: Meet and exceed key sales metrics such as new credit card issuance, lead-to-conversion rates, etc. Onboarding and Activation: Work closely with the credit, risk, and operations teams to ensure seamless onboarding and activation. Funnel Optimization: Analyze drop-offs in the digital sales funnel and implement strategies to improve conversion rates. Performance Tracking: Monitor performance data on a daily/weekly basis, identify gaps, and improve sales processes. Compliance Management: Ensure compliance with regulatory guidelines, credit risk policies, and fraud prevention measures. What s Needed for This Role Experience: 7-12 years of experience in credit card sales/acquisition, with a focus on digital sales channels. Sales Performance: Proven ability to hit and exceed aggressive sales targets in a high-volume, digital-first environment. Partnership and Alliances: Experience with digital partnerships, assisted digital sales models, and corporate alliances. Credit and Onboarding Knowledge: Strong understanding of underwriting criteria, digital KYC, and approval workflows. Sales Tools Proficiency: Hands-on experience with CRM systems, lead management tools, and digital sales tracking. Data-Driven Approach: Analytical mindset with a data-driven approach to improving sales efficiency and conversion rates. Independence and Drive: Ability to work independently and drive high-quality acquisitions without direct team management. Why You Should Work With Us Ownership Mentality: We value individuals who behave like owners taking full ownership of their projects and seeing them through to completion. Customer-Centric Problem-Solving: We thrive on tackling meaningful challenges by understanding pain points and creating intuitive, delightful customer experiences. Healthy Conflict & Commitment: We value individuals who engage in healthy conflict and commit fully to decisions once they re made. Relentless Excellence: We continuously set higher standards and are always seeking growth and improvement. If you re driven by continuous learning and want to be part of an environment that challenges you, Jupiter is the place to be.