Personalization Jobs in Bengaluru

Position: Customer Lifecycle Manager Location: Bengaluru Department: Marketing Job Type: Full-Time About Laundryheap: Laundryheap is a fast-growing tech start-up that is revolutionizing the laundry and dry cleaning industry. We offer fast, reliable service with a 24-hour turnaround, currently operating in 14 global markets. As we expand and grow our dynamic team, we continue to disrupt the industry and deliver exceptional service to our customers worldwide. Role Objective: We are looking for a Customer Lifecycle Manager to drive customer engagement, retention, and long-term value (LTV) in a fast-paced, global environment. This role is crucial in fostering repeat customers on the Laundryheap app and website, utilizing data-driven strategies to enhance customer engagement across various digital channels. The ideal candidate will have a deep understanding of user journeys, retention marketing, and the importance of lifecycle marketing in enhancing customer satisfaction and maximizing customer lifetime value. Your primary objective: How do we make customers place order after order on Laundryheap s app? This will involve leveraging all available resources, including data, tools, cross-functional teams, and marketing channels. Key Responsibilities: Lifecycle Campaign Design & Execution: Define, design, and deploy customer communication journeys aligned with key lifecycle stages, using customer intent signals and lifecycle triggers across multiple channels (SMS, WhatsApp, Email, Push, In-App messaging). The goal is to drive timely actions, leading to habit formation and sustained engagement. Campaign Management: Manage end-to-end campaign setup, including logic, segmentation, creative assets, QA, launch, monitoring, and ongoing optimization. Own campaign design and execution using CRM tools like Braze, defining trigger logic, target audiences, templates, and communication frequency. Performance Analysis & Optimization: Monitor and analyze campaign performance using key platform and channel-specific metrics (e.g., deliverability, conversion rate (CVR), repeat purchase rate, frequency, and LTV). Conduct A/B and multivariate tests to refine messaging, cadence, and channel mix. Localization & Global Collaboration: Ensure all campaigns are localized and relevant to different global markets, working with in-market teams to ensure accurate translations and local insights. Collaborate with Brand, Product, and Customer Research teams to meet campaign goals. Data-Driven Insights & Reporting: Translate customer data and lifecycle metrics into actionable insights for campaign improvement. Leverage data to craft targeted, insight-led campaigns that influence user behavior. Collaboration & Creativity: Work closely with designers and copywriters to create impactful templates that drive customer engagement and conversions. Coordinate with cross-functional teams to ensure a seamless customer experience. Must-Have Experience & Skills: Experience: 3 5 years of hands-on customer lifecycle management experience, preferably in E-commerce or on-demand web and app-based businesses. CRM & Tools Expertise: Proven experience working with CRM tools and content management systems like Customer.io, Braze, or similar platforms. Analytical Skills: Strong analytical skills with the ability to interpret customer data, identify behavioral patterns, and translate insights into actionable strategies. Technical Knowledge: Understanding of email deliverability, push notifications, in-app messaging, and SMS/WhatsApp performance optimization and best practices. Project Management & Organizational Skills: Excellent project management and organizational skills, with the ability to manage multiple initiatives across global markets in a fast-paced, performance-driven environment. Communication & Copywriting: Strong written communication skills with a customer-first mindset, capable of developing persuasive and engaging messaging. Growth Mindset: Comfortable working in a test-and-learn environment, always striving for optimization and efficiency to improve lifecycle outcomes. Be part of a dynamic and fast-growing team in a globally expanding company. Work on innovative projects that push the boundaries of customer engagement. Competitive compensation and benefits in a high-performance culture. Opportunities for personal and professional growth in an international business.

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.

Conversational AI Lead / Architect Location: Bangalore | Employment Type: Full-time About the Role We are looking for a skilled and experienced Conversational AI Lead/Architect to join our team at Avaamo. In this role, you will be responsible for designing, developing, and implementing cutting-edge Conversational AI solutions. As a subject matter expert, you'll work closely with IT managers, business teams, and customers to understand their requirements and deliver high-impact solutions that enhance the Avaamo platform. Responsibilities Lead the design, coding, and implementation of Avaamo s Conversational AI products, ensuring solutions meet both technical and business needs. Collaborate with IT managers and business stakeholders to gather requirements and translate them into actionable technical solutions. Drive the implementation of solutions using Conversational Design principles and best practices. Develop, deploy, and maintain customized extensions to the Avaamo platform tailored to specific customer requirements. Provide technical guidance and training sessions to partner and customer development teams, ensuring smooth onboarding and ongoing success. Evaluate reported defects and prioritize them for resolution, ensuring product quality and customer satisfaction. Travel to customer locations for on-site support, providing hands-on assistance and expertise as needed. Document best practices, implementation guidelines, and "how-to" guides to support customer and partner teams in leveraging Avaamo s products effectively. Requirements (Mandatory) 6+ years of strong programming experience in JavaScript, HTML, and CSS. Proven expertise in creating and consuming REST APIs and SOAP services. In-depth knowledge of web technologies and current industry trends. Solid understanding of security in web applications and services. At least 2 years of experience using Node.js, with a deep understanding of its architecture. Hands-on experience with Git and other version control systems. Experience deploying web applications on Linux servers in production environments. Familiarity with deployment processes and CI/CD tools. Exceptional communication skills, with the ability to work with both technical and non-technical teams. Minimum of 2 years of experience in client-facing roles, working closely with customers to deliver solutions. Good to Have Full-stack development experience, with expertise in UI/UX design or insights. Working knowledge of AI, ML, and NLP technologies. Experience with enterprise system integrations, such as MS Dynamics CRM, Salesforce, ServiceNow, and MS Active Directory. Experience implementing Single Sign-On (SSO) in web/mobile applications. Ability to quickly learn new technologies and manage small engineering teams. At Avaamo, we re redefining the future of Conversational AI. We specialize in creating advanced conversational interfaces that solve high-impact challenges for enterprises. Join our team and contribute to pioneering AI-driven technologies that are transforming how businesses engage with customers and employees.

Manager Adobe AEM Engineering Location: Bengaluru, India Department: Experience Engineering | Adobe AEM Type: Full-Time About the Role As a Manager Adobe AEM, you will lead the delivery of end-to-end digital experience platforms for global clients using Adobe Experience Manager and other Adobe Experience Cloud solutions. You will architect, implement, and optimize scalable enterprise content management solutions, while mentoring technical teams and working directly with clients to understand and translate business requirements into robust, scalable systems. Key Responsibilities Lead design, architecture, and implementation of large-scale AEM projects (Sites, Assets, AEM as a Cloud Service). Architect AEM components, templates, workflows, tagging, publishing, and metadata models. Define and implement cloud-native, SEO-optimized, accessible, secure, and performant digital platforms. Oversee quality processes, including CI/CD (e.g., Jenkins, Bamboo, Cloud Manager), code reviews, SonarQube, and automated testing. Manage infrastructure setup and configurations: Load Balancers, Apache, CDN, DR, and AEM environments. Collaborate across cross-functional teams including frontend (React, Angular, HTL), backend (Java), QA, and DevOps. Support content migration, integrations with eCommerce platforms (Hybris, Magento), and Digital Asset Management systems. Ensure adoption of best practices in performance, scalability, monitoring, and responsive design. Interface directly with clients for technical consulting, requirement gathering, and delivery oversight. Lead and mentor development teams (20+ members) across all project phases in Agile/Scrum environments. Required Skills & Experience 10+ years of experience in software engineering with at least 5+ in AEM development. Deep expertise in AEM architecture (including SaaS/Cloud Service, SDK), deployment (Maven), and migration planning. Proficient in Java 8/11, JCR, OSGi, Sling Models, HTL, JSP, and server-side integrations. Strong understanding of frontend development (ReactJS, Angular, Bootstrap, HTML5, CSS3, JS frameworks). Familiarity with Adobe I/O Runtime, Adobe Events, and cloud platforms (AWS, Azure, GCP). Experience with Adobe Experience Cloud tools: Target, Analytics, Campaign, Launch, Scene7. Proven success in leading full-stack delivery teams including frontend, backend, QA, and PM. Knowledge of SEO, accessibility (WCAG A, AA, AAA), performance monitoring (New Relic, AppDynamics), and analytics integration. Hands-on with monitoring and observability tools: Squid, Nagios, Zabbix, Ganglia, etc. Exposure to Agile methodologies and estimation/planning across digital project lifecycles. Bonus / Preferred Qualifications Experience integrating AEM with eCommerce (Magento, Hybris, ElasticPath). Working knowledge of microservices, containerization, and RESTful services. Adobe certifications (e.g., Adobe Certified Expert AEM Developer/Architect). Familiarity with Adobe I/O integrations and Adobe Dynamic Media. Benefits Gender-Neutral Policy 18 Paid Holidays per year Parental Leave and New Parent Transition Program Flexible Work Arrangements Employee Wellness Programs About Publicis Sapient Publicis Sapient is a premier digital transformation partner helping global enterprises redefine their future with technology. With over 20,000 professionals across 53 offices worldwide, we deliver bold digital solutions across strategy, customer experience, data, and engineering.

Job Title: Audience Platform Lead Insights & Analysis Location: Bangalore Employment Type: Full-Time About the Role We re seeking a strategic and technically skilled Audience Platform Lead to join our Insights & Analysis team. This role will focus on leveraging platforms like Adobe Analytics, Google Analytics, WebTrends, and various Customer Data Platforms (CDPs) to enable data-driven marketing and customer insights. As a subject matter expert in tag management, audience creation, and marketing technology integration, you will play a key role in shaping and implementing audience strategies across platforms. Key Responsibilities Lead the design, development, and implementation of solutions on Customer Data Platforms (CDPs) such as Adobe Experience Platform (AEP), Tealium, Segment, Lytics, ActionIQ, or C360. Drive data ingestion workflows via batch and real-time modes using ETL tools, APIs, and JavaScript. Build data models and define audience segments and customer journeys based on business requirements and architecture. Collaborate with internal teams and stakeholders to translate BRDs into actionable CDP use cases for marketing activation. Enable data extraction and outbound flows to reporting tools, other Adobe products, and third-party systems. Define and apply business rules and data transformations aligned with privacy and compliance standards. Guide and mentor other team members on platform capabilities, integration best practices, and scalable solutions. Ensure alignment with data privacy laws such as GDPR, CCPA, and others. Required Qualifications Proven experience in leading CDP-related development projects. Strong scripting experience with Python, Java, or Node.js. Hands-on experience with REST APIs, Open APIs, and tools like cURL. Proficiency in data analysis, data modeling, and data mapping. Experience working with unstructured data using formats such as JSON and Parquet. Preferred Qualifications: Familiarity with data privacy regulations including GDPR and CCPA. Experience in client-facing roles or stakeholder engagement. Working knowledge of reporting technologies and visualization tools. Experience with Big Data ETLs and cloud-based data platforms. Background in customer journey orchestration, audience activation, and segment development. Exposure to MLOps, data governance, or MarTech strategy is a plus. Work at the intersection of data, marketing, and technology. Lead cutting-edge customer data platform initiatives. Be part of a collaborative, innovative, and growth-driven environment. Make a measurable impact on customer engagement and digital transformation.

Role: Email Marketing & CRM Automation Specialist Experience Required: Minimum of 4+ years of relevant experience Location: Bangalore Notice Period: Open Preferably Immediate Joiners Employment Type: Full-Time About Aezion: Aezion is a leading technology solutions provider, specializing in custom software development, AI-driven solutions, and enterprise digital transformation. As a trusted digital engineering partner in the USA, we are committed to delivering outstanding value across all stages of the project lifecycle architecting, designing, developing, hosting, maintaining, and supporting. We are dedicated to exceeding client expectations and stand by our promise: "Get it right, or make it right." At Aezion, we view our work as more than a job; it s a ministry that reflects our core values. Our Culture: Aezion is driven by our Purpose Love others like Christ and guided by our values of Love, Dependability, Humility, Diversity, Speed, and Innovation. We believe that service defines us, and our dedicated team of 200+ employees work with passion to transform our clients into lifelong partners. Role Overview: We are looking for an Email Marketing & CRM Automation Specialist to join our team and take ownership of lead management and automation processes. You will be responsible for managing CRM software, creating automated workflows, and driving customer engagement through email campaigns. Your expertise in CRM systems, email marketing, and lead nurturing will be critical in optimizing lead conversion and ensuring effective customer communication. Key Responsibilities: CRM Management: Oversee CRM software to organize, store, and manage lead data effectively. Ensure data is up-to-date and accurate for marketing and sales teams. Email Automation & Workflows: Develop and optimize automated email workflows and sequences for lead nurturing, customer engagement, and sales funnel management. Lead Scoring & Segmentation: Implement lead scoring models to prioritize leads based on engagement and behavior, ensuring that the most promising prospects are addressed first. CRM Data Analysis: Track and analyze CRM data to monitor performance, identify trends, and suggest improvements to the marketing strategy. CRM Integration: Integrate CRM with other marketing tools and platforms to ensure smooth workflows and data sharing across systems. Lead Nurturing: Manage and optimize lead nurturing strategies in a B2B environment, ensuring consistent engagement and progression through the sales funnel. Required Skills and Experience: CRM Expertise: Proficiency in using CRM platforms such as HubSpot, Salesforce, or similar to manage lead data and drive marketing automation. Marketing Automation: Advanced skills in setting up, optimizing, and maintaining marketing automation workflows and email campaigns. Data Analysis & Segmentation: Strong experience in customer data analytics, segmentation, and reporting to ensure targeted and personalized marketing efforts. Lead Nurturing in B2B: Expertise in lead nurturing, particularly within a B2B environment, managing sales funnels, and maximizing lead conversion rates. CRM & Marketing Integration: Ability to integrate CRM systems with other marketing technologies and tools to create a seamless experience for both customers and internal teams. Email Marketing Tools: Proficiency in email marketing platforms and tools, with a focus on driving engagement and optimizing email performance. Preferred Qualifications: Experience with HubSpot CRM or other advanced marketing automation platforms. Proven track record in managing large-scale email marketing campaigns and nurturing leads in a B2B environment. Strong understanding of customer behavior, lead scoring, and email campaign optimization.

Company Overview At Intuit, we're empowering prosperity for people and communities worldwide. With products like TurboTax, Credit Karma, QuickBooks, and Mailchimp, we serve over 100 million customers globally. Our mission is simple: help everyone prosper financially. We never stop innovating, constantly finding new ways to support individuals and businesses on their financial journey. Job Title: Group Product Manager - GenAI for Marketing As part of Intuit's Go-To-Market Technology team, you ll be at the forefront of revolutionizing how we utilize Generative AI (GenAI) capabilities to transform marketing. As a Group Product Manager, you ll spearhead the development and execution of our product strategy, driving the integration of cutting-edge technologies to empower marketing teams across Intuit. This is your chance to be part of a dynamic, fast-paced environment and lead impactful innovation at scale. Responsibilities: Drive High-Performance Product Management Lead the product strategy and execution, setting ambitious goals and fostering a culture of excellence and results. Inspire your team and stakeholders with a clear vision, and regularly refine the product roadmap to accelerate use case maturity and deliver value. Collaborate Across Teams and Stakeholders Build a broad network within the organization, ensuring seamless communication and alignment across departments. Actively remove friction points, driving decision-making velocity and ensuring swift execution. Champion Innovation and Prioritization Lead the charge for boundaryless collaboration and prioritization of impactful use cases, solutions, and capabilities. Ensure that products are built to scale quickly and deliver measurable impact to marketing teams. Mentor and Coach Provide guidance, mentorship, and coaching within the product management organization. Establish and propagate best practices, actively enhancing how the team works to deliver world-class results. Qualifications: Proven Product Management Expertise Extensive experience in product management, with a track record of building innovative martech capabilities using cutting-edge technologies. Led enterprise-level transformations, especially with the adoption of AI to power marketing use cases in large organizations. Strategic Leadership & Communication Exceptional leadership skills with the ability to drive change in a matrixed environment. Proven ability to synthesize customer needs and business challenges, delivering marketing solutions that meet diverse organizational needs. Deep Martech and AI Knowledge In-depth experience with martech capabilities and how AI is reshaping the marketing landscape. Expertise in leveraging data to power highly personalized digital experiences, understanding how various platforms work together to support marketing efforts. Strong Technical Fluency Deep understanding of how AI, orchestration, and owned-channel activation work together to create marketing excellence. Knowledge of AI-driven marketing analytics and how to harness those insights to deliver game-changing results for customers. Visionary Product Development Demonstrated ability to craft and champion a compelling product vision, strategy, and roadmap. Proven success in managing technically complex, platform products at scale particularly in large organizations with diverse needs. Competitive Landscape Awareness Ability to evaluate and act upon emerging tools, platforms, and technologies, staying ahead of the competition and aligning strategies to meet evolving market demands. Knowledge of the vendor landscape in the martech space and the ability to influence vendor roadmaps to meet business objectives. Leadership & Mentorship 3+ years of people management experience, with a proven track record of mentoring and developing high-performing teams. Strong interpersonal and leadership skills, with the ability to persuade, motivate, and communicate a clear vision to all levels of the organization. Preferred Qualifications: Educational Background Relevant undergraduate degree required, with an advanced degree preferred. At Intuit, we re not just building products; we re building the future of financial empowerment for people around the world. As a Group Product Manager leading the charge on GenAI-powered marketing capabilities, you ll have the opportunity to drive transformational change on a global scale. You'll collaborate with some of the brightest minds in the industry, work with cutting-edge technology, and make a lasting impact on how marketing is done in the digital age. Qualification : A high degree of curiosity and bias towards experimentation to learn quickly

Role Overview: This is a technical, client-facing role responsible for providing consulting and technical advisory support for the implementation of Adobe Campaign solutions. The goal is to help clients maximize the value of their Adobe Campaign implementation and ensure high levels of satisfaction. The consultant will provide both strategic advice and hands-on technical support throughout the implementation process. Key Responsibilities: Implementation & Consulting: Work with clients to assess requirements and configure Adobe Campaign to meet their business needs, including setting up ETL and data flows. Design and implement customer-specific solutions, ensuring integration with existing infrastructures and mobile platforms. Provide proactive troubleshooting, problem diagnosis, and resolution. Create implementation plans, manage smaller projects, and report progress to Project Management. Deliver knowledge transfer and training to clients on the solutions implemented. Collaboration & Relationship Building: Work closely with both onshore consulting teams and Quality Assurance to ensure professional and high-quality delivery. Mentor junior team members and collaborate with other consultants to provide multi-product enablement and integration solutions. Technical Support: Provide ongoing support for client implementations, product installations, upgrades, and configurations. Stay up to date with Adobe Digital Marketing Solutions and provide creative, innovative solutions to client challenges. Required Qualifications: Technical Expertise: Strong knowledge of SQL (Oracle, SQL Server, PostgreSQL). Programming experience in JavaScript, Java, VB, C#, PHP. Familiarity with web technologies such as HTML, CSS, and HTML DOM manipulation. Skills & Experience: Good communication skills for customer interactions and documentation. Ability to work independently and manage smaller projects. Fast learner, self-starter with the ability to develop creative solutions in dynamic environments. Project management skills and the ability to mentor and teach junior team members are a plus. Additional Requirements: Experience in digital marketing solutions and consulting services. Experience leading teams and working with cross-functional groups is an advantage.

Associate Principal TA Program Manager Location: Bangalore About Tekion Tekion is transforming the automotive industry with the first cloud-native automotive platform, connecting OEMs, dealerships, technology partners, and consumers. Through ARC, AEC, and APC, we deliver seamless, AI-driven digital experiences for the automotive ecosystem. Tekion employs ~3,000 people across North America, Asia, and Europe and is committed to innovation, inclusion, and a high-performance culture. Role Overview As Associate Principal TA Program Manager, you will architect, execute, and evolve global talent acquisition programs that set Tekion apart as an employer of choice. You will design transformative candidate experiences, manage referral and diversity initiatives, lead campus hiring strategies, and leverage AI and automation to streamline TA operations. This is a high-impact, globally visible role where your work directly shapes Tekion s talent brand and hiring excellence. Key Responsibilities Candidate & Employee Experience Deliver a seamless, engaging experience for all candidates and employee referrals. Gather feedback to continuously improve the hiring journey. Maintain accurate candidate data through system-level validations. AI-Driven Talent Acquisition Lead adoption of AI-powered tools and automation to improve speed, personalization, and efficiency. Pilot and scale data-driven hiring solutions in collaboration with tech teams. Process Improvement & Issue Management Identify gaps in TA workflows and ensure smooth, efficient operations. Manage escalations, prioritize issues, and resolve TA-related challenges. Communication & Standardization Design and implement standardized communication templates for scheduling, offers, and feedback. Maintain TA guides, interview kits, and resources for consistency across regions. Strategic Programs & Initiatives Lead global TA programs including referral contests, ambassador programs, and training initiatives. Develop and execute diversity networking, leadership events, and inclusive hiring campaigns. Drive Talent Branding campaigns to strengthen Tekion s employer reputation. Campus Hiring & Early Talent Programs Build immersive, relationship-driven university recruiting programs. Collaborate with campus leads to attract top early-career talent. Execute high-impact 6-month internship programs for early leadership development. Playbook & Process Optimization Govern and continuously improve the TA Playbook with templates, guides, and workflows. Implement automation and bots to maximize efficiency and scalability. Recruiter Enablement & Training Design and deliver structured recruiter training on interviews, negotiation, and candidate engagement. Lead TA certification initiatives and maintain a continuous learning calendar. Reporting, Insights & Continuous Improvement Automate dashboards, scorecards, and KPI reports to provide real-time insights. Track Candidate NPS and use insights to enhance experience across the TA lifecycle. Qualifications Master s degree with 8+ years of measurable impact in TA program leadership in tech-driven organizations, or Bachelor s degree with 12+ years experience. Proven experience architecting and scaling global campus, referral, boomerang, and diversity TA programs. Strong expertise in process improvement, TA workflow optimization, and issue management. Hands-on experience with AI, automation, and modern ATS/HRIS tools (Greenhouse preferred). Track record in communication standardization, playbook creation, and recruiter enablement. Skilled in leveraging data and NPS insights to improve TA outcomes. Excellent stakeholder management, project leadership, and communication skills. Strong drive to innovate, lead change, and create remarkable candidate experiences. Competitive rewards & equity aligned with Radford standards A culture of empowerment, learning, and inclusivity High visibility and impact for your work on a global stage

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

Job Title: Sales Development Representative (SDR) Location: Bengaluru, India Company: LimeChat About LimeChat LimeChat is transforming conversational commerce by building AI agents that interact with customers at human-level quality especially on WhatsApp. We're a Y Combinator W21 company, backed by top investors and trusted by 300+ brands like HUL, ITC, Wow Skin Science, Snitch, and Piramal Health. We re now expanding into enterprise verticals like BFSI, Healthcare, and Retail, making this a pivotal time to join our growing team. If you re a fast-paced problem solver, self-starter, and driven by results you'll thrive here. What You ll Do As a Sales Development Representative (SDR), you ll be the first point of contact between LimeChat and potential clients. You ll identify prospects, personalize outreach, and initiate conversations that lead to sales meetings and opportunities. Key Responsibilities Build targeted prospect lists from tools like LinkedIn, Apollo, ZoomInfo, etc. Initiate outreach via cold calls, emails, LinkedIn, and other outbound channels. Craft compelling, personalized messaging tailored to industry and prospect pain points. Understand LimeChat s product offerings and how they solve specific business challenges. Set up discovery calls and product demos with Account Executives. Collaborate with the marketing and sales teams to optimize campaigns and outreach strategies. Track outreach activity and performance metrics; maintain detailed records in CRM. Stay informed on industry trends, competitor offerings, and product updates. Must-Have Skills 2+ years of outbound B2B sales development experience in a SaaS or product company. Proven success in cold outreach, especially across LinkedIn, email, and phone. Strong copywriting and personalization skills to engage decision-makers. Resilient, go-getter attitude with the ability to handle rejections. Excellent verbal and written communication skills. Ability to qualify leads and identify buying signals effectively. Bachelor's degree (minimum qualification). Nice to Have Experience selling or pitching to eCommerce, D2C, or retail verticals. Familiarity with CRM tools (e.g., HubSpot, Salesforce). Interest in or understanding of AI/chatbots/conversational commerce. Unlimited PTO / Sick Leave Take the time you need. Subsidized Fitness Membership Stay in top form. Free Lunch & Snacks Fuel your day. Pet-Friendly Office Bring your dog or cat to work. Annual Company Retreat Work hard, celebrate harder. Culture Quotes We Live By It s okay to fail. It s not okay to not try. Do the right thing when others are not looking. If you re ready to hustle hard, learn fast, and grow with one of the most exciting startups in conversational AI, we d love to meet you. Apply now and be part of LimeChat s growth journey! Qualification : Bachelor's degree

Job Title: Product Analyst - I Location: Bangalore, India Company: Glance An InMobi Group Company About Glance Founded in 2019, Glance is a consumer technology company powering disruptive digital platforms such as Glance, Roposo, and Nostra. Our flagship Glance Lock Screen is available on over 400 million smartphones globally, delivering personalized, context-aware content seamlessly. Roposo is revolutionizing live video experiences with immersive, creator-led content, while Nostra leads as the largest gaming platform in India and Southeast Asia, enabling users to discover, play, watch, learn, and compete. Headquartered in Singapore, Glance is an unconsolidated subsidiary of InMobi Group. At Glance, we encourage you to dream big and take ownership from day one. Collaborate with talented, ambitious teams on mission-critical projects that leverage bleeding-edge technology to redefine consumer experiences. We support your growth with daily meals, gym access, training sessions, modern tech tools, and a welcoming environment for your kids and pets. Role Overview As a Product Analyst - I, you will work closely with product managers, engineers, data scientists, and content teams to analyze, interpret, and provide actionable insights from data. Your work will directly influence product features, personalization strategies, and content optimization on India s largest visual content discovery platforms including Glance and Roposo. Key Responsibilities Collaborate with cross-functional teams and external partners to drive data-informed innovation. Work with product managers to define and analyze metrics, evaluate feature adoption, and measure product performance. Support personalization efforts by working with data science and engineering teams on live feed and tab features for Roposo and Glance apps. Partner with content teams to refine content strategies and monitor performance of shows and creators. Develop frameworks and processes to enable faster and more effective data analysis. Strong analytical mindset with a bias for action and attention to detail. Comfortable working with data tools to uncover insights and support product decisions. Energetic, quick learner who thrives in a fast-paced, cross-functional, and global environment. Ability to multitask and collaborate effectively with diverse stakeholders. Skilled in creating frameworks and processes for efficient data analysis. Required Qualifications Bachelor s or Master s degree in Computer Science, Statistics, Mathematics, or a related analytical field. 3 5+ years of experience in product analytics within consumer tech or digital product environments. Proficient in SQL/BigQuery, Excel, and dashboarding tools like Tableau, Superset, or Power BI. Knowledge of R or Python is a plus. Join Glance and play a key role in shaping data-driven decisions on some of India s largest and most innovative digital platforms. Apply now to grow your career in Bangalore! Qualification : Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or a related analytical field.

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.

Engineering Leader - Machine Learning Location: Bangalore, Karnataka, India Employment Type: Full-Time | Hybrid Work Model About Eightfold.ai At Eightfold.ai, we re revolutionizing the future of employment by leveraging artificial intelligence to connect individuals to the right career opportunities based on their skills, not just their network. Our AI-powered Talent Intelligence Platform is transforming how organizations plan, hire, develop, and retain a diverse workforce. With $410M+ in funding and a $2B+ valuation, we re growing rapidly, and if you're passionate about solving one of society's most critical challenges employment then Eightfold is the place for you. Led by visionary leaders like Ashutosh Garg (former Google Search and Personalization leader) and Varun Kacholia (former Facebook and Youtube leader), we are shaping the future of AI-powered talent management. About the AI Platform Team Our AI/ML team is the heart of Eightfold, pushing the boundaries of applied machine learning. We re working with massive datasets, solving complex problems, and building cutting-edge AI models that are reshaping how companies approach talent management. Join us if you re eager to work in a team where every day presents a new challenge and opportunity. What You ll Do As the Engineering Leader - Machine Learning, you ll be responsible for leading and mentoring a high-performing team of engineers, driving the success of AI-driven products at Eightfold. Your primary responsibilities will include: Team Leadership: Coach, mentor, and manage a talented team of engineers to foster a culture of innovation, collaboration, and high performance. ML Model Ownership: Lead the development and deployment of cutting-edge deep learning models across all Eightfold products, ensuring reliability, scalability, and high-quality performance. Platform Development: Help build high-performance, flexible infrastructure that supports a variety of deep learning techniques and modeling approaches. End-to-End ML Pipeline: Oversee the end-to-end process of building and deploying machine learning models, including creating robust data pipelines that can process unstructured data. ML Framework Implementation: Design and implement an intuitive ML development framework that ensures efficiency and ease of use for data scientists and engineers. Model Fairness: Work with our internal model fairness platform to ensure that we are providing equal opportunity for everyone through responsible ML practices. Cross-Team Collaboration: Work closely with product teams to apply deep learning techniques to solve complex business problems across various domains. What You Should Already Know To be successful in this role, you should have: Strong Foundation in ML & Deep Learning: Expertise in applying Natural Language Processing (NLP) and deep learning solutions to solve real-world problems. Experience with Language Models: Familiarity with advanced language models such as BERT, GPT-3, T5, and others. Academic Background: A BS, MS, or PhD in Computer Science, Data Science, Mathematics, or related fields. Proven ML Experience: Hands-on experience building and deploying machine learning models at scale, particularly in production environments. Programming Expertise: Strong knowledge of ML languages such as Python, C++, Java, R, Scala, and experience with scientific libraries like numpy, pandas, and frameworks like TensorFlow, PyTorch, scikit-learn, etc. Strong ML Theory Knowledge: In-depth understanding of ML theory and experience working with large-scale datasets, data ingestion, and processing systems. Experience with Distributed Systems: Familiarity with distributed systems, including REST APIs, microservices, and data processing frameworks. Metrics-Focused: A passion for building high-quality models that deliver results and metrics-driven outcomes. Nice to Have Real-Time Tech Problems: Experience with real-time processing or low-latency systems. Cloud Environments: Familiarity with cloud platforms like AWS, and experience using cloud-based ML tools. MLOps Tools & Pipelines: Experience with MLflow, Metaflow, or similar tools to streamline ML workflows and operations. Advanced Tech Stack: Familiarity with tools like Spark, MLlib, Databricks, Apache Airflow, etc. Impactful Work: Join a company dedicated to solving one of society's most pressing issues employment. Your work will have a direct impact on individuals' careers around the world. Innovation at Scale: Work with cutting-edge AI and ML technologies to shape the future of talent management. Competitive Compensation: Receive an attractive salary, equity, and comprehensive benefits package (including family medical, vision, and dental coverage). Collaborative Environment: Work in a culture that values transparency, ownership, and collaboration across teams. Hybrid Work Model: Enjoy a hybrid work environment, with flexibility for remote work and in-office collaboration at our Bangalore office. Growth Opportunities: Be part of a rapidly scaling company with vast opportunities for career development and leadership roles. Equal Opportunity Employer Eightfold.ai is an Equal Opportunity Employer. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, or disability. If you are an experienced and visionary leader in Machine Learning, eager to make a lasting impact while solving one of society's most important challenges, we would love to hear from you. Qualification : BS or MS or PhD degree in Computer Science, Data Science or Mathematics

Data Scientist - I | Meesho Careers Location: Bangalore, Karnataka | Department: Tech Join Meesho as a Data Scientist and Shape the Future of E-commerce At Meesho, our Data Scientists work on high-impact projects such as fraud detection, inventory optimization, and platform vernacularization, building intelligent systems that enhance the experience of millions of users across thousands of product categories. What You ll Do Design and develop advanced data models and run experiments to derive insights from complex datasets Enhance product usability and identify new growth opportunities through data Analyze reseller behavior to recommend relevant products and increase engagement Design and optimize discount programs to boost reseller sales Identify end-customer preferences to help resellers improve revenue Use analytics to identify supply chain bottlenecks and help suppliers meet SLA requirements Forecast seasonal demand and contribute to strategic planning by modeling key metrics Mentor junior data scientists and help foster a collaborative learning environment Bachelor's or Master s degree in Computer Science, Data Science, or related fields 1 2 years of professional experience as a Data Scientist in a fast-paced, preferably B2C environment Hands-on experience with machine learning, neural networks, and related techniques Proficiency in tools like SQL, Python, R Strong statistical foundation, with expertise in hypothesis testing and model validation Proven ability to conduct and analyze A/B testing Experience working closely with product and tech teams Bonus Points If You Have: Experience in personalization or similar ML problem spaces Familiarity with Big Data technologies such as Apache Spark, Hadoop, or Redshift About Meesho Meesho is India's top-rated e-commerce platform on Glassdoor, known for empowering millions of entrepreneurs across the country. We provide sellers with zero-commission benefits and the lowest shipping costs, serving every serviceable pincode in India. With over 1.75 million registered sellers, Meesho is helping small businesses grow using a unique business model and world-class tech infrastructure. From first-time internet users to seasoned entrepreneurs, our inclusive platform caters to a diverse customer base across India. Our Mission Democratizing Internet Commerce for Everyone Meesho (short for Meri Shop) is dedicated to enabling 100 million small businesses to succeed online, offering them an affordable, reliable, and easy-to-use platform that mirrors local market preferences. Our Culture and Total Rewards We cultivate a performance-driven, people-first culture that values learning, creativity, and excellence. Our "Mantras" guide our daily decisions, from hiring to growth discussions. Meesho Total Rewards includes: Market-leading compensation, including equity-based benefits Holistic wellness through our MeeCare Program: medical insurance, telehealth, wellness events, gym discounts, and more Work-life balance support: generous leave policies, parental benefits, and retirement plans Learning & development assistance and career mobility programs Fun workplace culture with events, personalized gifts, and team engagement activities Join Meesho to work on meaningful data problems, impact millions, and grow your career with a supportive and innovative team. Qualification : Bachelor's or Masters degree in Computer Science, Data Science, or related fields

Data Scientist II Join the Meesho Tech Team Location: Bangalore, Karnataka | Department: Technology Empower the Future of E-Commerce with Meesho We are looking for an experienced Data Scientist II to join our Avengers-like Data Science team at Meesho. As part of our mission to revolutionize e-commerce in India, we solve complex problems related to fraud detection, inventory optimization, and localized platform experiences that impact millions of users daily. As a mid-level Data Scientist, you ll partner with stakeholders across teams to create data-driven strategies, improve platform performance, and lead initiatives that enable better business outcomes for resellers and end users across Bharat. What You ll Do Design and build predictive models and machine learning solutions using large-scale data Conduct experiments and extract insights from high-volume structured and unstructured data Enhance product usability and surface new growth opportunities through advanced analytics Analyze reseller behavior to deliver personalized product recommendations Design effective discount programs to increase reseller sales performance Identify customer preferences to help resellers better serve their buyers and drive revenue Uncover supply chain inefficiencies and support SLA adherence through data insights Forecast seasonal and regional demand to optimize key business metrics Mentor junior data scientists and contribute to team knowledge-sharing What You ll Need Bachelor s or Master s degree in Computer Science, Data Science, or a related technical field 2 4 years of experience in a Data Scientist role, ideally within a fast-moving B2C tech environment Strong knowledge of Machine Learning algorithms, Neural Networks, and data modeling techniques Hands-on experience with SQL, Python, and R for data manipulation and analysis Strong understanding of statistics, linear algebra, and A/B testing methodologies Demonstrated ability to turn business problems into data science solutions Experience working with product and engineering teams to deliver scalable systems Preferred Qualifications Prior experience solving personalization or recommendation engine problems Familiarity with Big Data technologies like Apache Spark, Hadoop, or Amazon Redshift About Meesho Meesho is India's top-rated e-commerce workplace, revolutionizing online commerce for the next billion users. We empower over 1.75 million sellers through an inclusive, technology-driven platform that offers zero-commission selling, the lowest logistics costs, and access to a massive customer base across every serviceable pincode in India. Our Mission Democratizing Internet Commerce for Everyone Meesho (Meri Shop) aims to help 100 million small businesses succeed online. With relatable merchandise and localized user experiences, we re building a truly inclusive digital shopping ecosystem for underserved markets in India. Our Culture and Benefits Meesho fosters a high-performance and people-first culture. Our workplace philosophy is shaped by 11 guiding principles ("Mantras") and practices like Reflections, Listen or Die, and a robust Internal Mobility Program. Our Total Rewards Include: Competitive compensation packages including performance-based equity Comprehensive wellness through our MeeCare Program covering medical, mental, and financial well-being Flexible leave policies and parental support benefits to ensure work-life balance Relocation support, salary advances, and learning & development assistance Fun, collaborative culture with team engagement events, gifts, and recognition programs We are not just building a company; we re creating a movement. If you re driven by data and inspired to make a difference, come be a part of Meesho s journey to redefine e-commerce in India. Apply today and let's build the future of commerce, together. Qualification : Bachelors or Masters degree in Computer Science, Data Science, or a related technical field

Data Scientist III Advanced Analytics Role at Meesho Location: Bangalore, Karnataka | Department: Tech About the Data Science Team at Meesho Our Data Science team is the engine driving intelligent decision-making at Meesho. Known internally as the Avengers to our S.H.I.E.L.D, we tackle mission-critical challenges using cutting-edge data science to empower millions of users and small businesses across Bharat. From fraud detection and inventory optimization to platform vernacularization, we re shaping the future of e-commerce in India through data innovation. As a Data Scientist III, you'll be solving complex problems in a rapidly evolving market. You ll lead initiatives that translate data into strategic insights and scalable models, impacting business across various functions. About the Role If you thrive on solving high-impact data problems and love deriving actionable solutions from large datasets, you may be the next Data Scientist III at Meesho. Your primary responsibility will be to increase the utility of business data through experimentation, modeling, and strategic insights. This role involves significant collaboration with cross-functional teams, mentorship, and ownership of critical analytics workflows. What You ll Do Build and deploy machine learning models to extract insights from complex data Run experiments to test hypotheses and evaluate product performance Drive product usability improvements and uncover new growth opportunities Analyze reseller preferences and personalize product offerings Create effective discount strategies to support reseller success Enhance understanding of end-user behavior for improved targeting Uncover supply chain inefficiencies and improve SLA performance Predict seasonal and regional demand to guide planning decisions Mentor junior data scientists and contribute to team development What You ll Need Bachelor s or Master s degree in Computer Science, Data Science, or a related technical field 4 7 years of experience as a Data Scientist, ideally in a fast-paced B2C company Proficiency with Neural Networks, supervised/unsupervised learning, and ML frameworks Expertise in Python, SQL, and R for data analysis and model development Strong knowledge of statistics, linear algebra, and model validation techniques Experience in designing, running, and analyzing A/B tests Exceptional problem-solving and communication skills Experience working closely with product and engineering teams Bonus Points For: Work on personalization systems or recommendation algorithms Familiarity with Big Data technologies like Apache Spark, Hadoop, or Redshift About Meesho Meesho is India s leading social commerce platform, empowering over 1.75 million sellers to grow their businesses online. We offer a unique business model with zero commission fees and the lowest shipping costs, supported by a powerful tech ecosystem and pan-India logistics network. Our platform is built for first-time internet users and small business owners alike, democratizing e-commerce across every corner of the country. Our Mission Democratizing Internet Commerce for Everyone Meesho s goal is to enable 100 million small businesses to succeed online. With relatable, affordable merchandise and innovative seller support tools, we help entrepreneurs reach new customers and scale efficiently. Our Culture and Total Rewards At Meesho, we cultivate a high-performance, people-first culture supported by our 11 guiding Mantras. We prioritize continuous learning, collaboration, and transparency, and back it up with industry-leading employee experiences. Our Total Rewards Include: Market-leading compensation with both cash and equity components Access to MeeCare Program for physical, mental, financial, and social wellness Comprehensive medical coverage for employees and families Parental benefits, generous leave policies, and retirement plans Support for learning and career development through structured programs Employee engagement, flexible benefits, relocation assistance, and much more We re more than just a company we re a movement redefining online commerce in India. If you re a passionate data expert ready to lead high-impact initiatives, apply now and become a part of Meesho s incredible journey. Qualification : Bachelors or Masters degree in Computer Science, Data Science, or a related technical field

Job Overview Join our collaborative and creative group of AI scientists and machine learning engineers as a Senior AI Scientist! In this role, you'll be instrumental in designing, building, and deploying machine learning models in AI-native applications within our Virtual Expert Platform (VEP). You'll directly impact our customers across QuickBooks, TurboTax, Mailchimp, and Credit Karma, developing AI solutions that enhance customer success by blending AI and human expertise. You'll work on some of the most exciting challenges, from forecasting, capacity planning, optimization, and variance analytics, to recommendation systems and decision systems. The solutions you create will be a key part of multi-billion-dollar services like QuickBooks Live and TurboTax Live. Responsibilities Data Analysis & Modeling: Perform hands-on data analysis and build machine learning models using large datasets. Apply data mining, machine learning (both supervised and unsupervised) to improve algorithms related to relevance and personalization. Collaboration: Work closely with product managers, software engineers, and designers to design experiments and develop minimum viable products (MVPs) that leverage AI technologies. Feature Creation & Refinement: Develop features from raw data, continuously refining models to enhance performance. You'll be experimenting with different features and applying your intuition to make improvements. A/B Testing & Optimization: Run A/B tests, collect data, perform statistical analysis, and assess the impact of your optimizations. Communicate the results to both peers and leaders. Product & Service Innovation: Collaborate with business planners to propose innovative AI-driven products and services. Ensure that AI s power is fully integrated into new services. Infrastructure Collaboration: Work with infrastructure architects to streamline systems and improve data governance for agile and responsive data manipulation. Research & Thought Leadership: Introduce cutting-edge academic or industry research to Intuit leadership to solve complex problems and fuel new business opportunities. Mentorship & Community Building: Serve as an advisor and mentor, helping to grow and nurture a vibrant AI practice within the organization. Qualifications Education: MS or PhD in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field. Experience: 5+ years of experience building AI systems using data mining algorithms and statistical modeling techniques, including: Clustering, Classification, Regression, Decision Trees, Neural Networks, Support Vector Machines, Anomaly Detection, Recommender Systems, Sequential Pattern Discovery, Text Mining, and more. 2+ years of experience in a lead or management role within AI/Data Science. Technical Skills: Proficient in Python and familiar with version control systems like Git/GitHub. Experience with distributed computing and distributed databases (e.g., Hadoop, NoSQL, Hive, Pig). Strong understanding of mathematical concepts and the ability to apply them to create original solutions. Preferred: PhD in a related field. Proven experience working with large-scale machine learning techniques and datasets. Deep experience with Hadoop and related programming environments. Strong problem-solving skills and the ability to communicate complex ideas to both technical and non-technical stakeholders. Soft Skills: Excellent communication skills and experience influencing at an executive level. Strong interpersonal skills for collaborating with technical teams and making impactful presentations to diverse stakeholders. This is an exciting opportunity to be part of a highly innovative team at the forefront of AI and machine learning. You'll be solving complex, high-impact problems that directly influence customer experiences across multiple industries. The role offers the chance to lead cutting-edge AI projects while mentoring a talented team and driving the development of transformative AI-powered solutions. Qualification : MS or PhD in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field.

Job Title: Customer Success Services - Oracle SaaS/HCM/Cloud Analyst - Lead Career Level: IC3 Position Overview: As a member of Oracle s Support organization, you will be responsible for providing post-sales support and solutions to Oracle customers. Your focus will be on resolving complex, non-technical customer inquiries, as well as providing technical troubleshooting for Oracle's Electronic Support Services. Acting as a primary point of contact for customers, you will manage customer relationships and offer assistance to internal Oracle teams regarding customer situations and escalated issues. Key Responsibilities: Customer Support: Act as the primary contact for Oracle customers, assisting them with complex technical and functional queries related to Oracle Fusion HCM products, including Core HR, Absence, Benefits, Extracts, HDL Loader, Workflow, BI Publisher, and Oracle Integration Cloud. Incident Management: Track, diagnose, replicate, and resolve critical and complex cases, ensuring total resolution of service incidents. Customer Success: Advise customers on the complex use of Oracle products, providing tailored solutions and resolving critical issues. Situation Management: Take ownership of highly sensitive and critical customer issues, working directly with customers and consulting with management to drive resolution. Knowledge Sharing: Share your knowledge with teammates by delivering formal training sessions, creating and reviewing Knowledge Articles, and mentoring others to promote technical and professional development. Collaboration: Work closely with internal teams to address escalated customer issues and contribute to improving internal processes and solutions. Qualifications: Must-Have Skills: 6-10 years of experience in the implementation, support, or upgrade of Oracle SaaS HCM products, with at least one implementation experience in Core HR, Absence, Benefits, Extracts, HDL Loader, Workflow, BI Publisher, and Oracle Integration Cloud. Hands-on configuration experience with at least three or more tools: HCM Extracts HCM Data Loader (HDL) Payroll Batch Loader (PBL) Workflow BI Publisher Fast Formula Personalization PL/SQL Strong knowledge of Fusion Cloud architecture, setup manager, and activities. Experience with FBDI and OTBI report development. Knowledge of integrating external data sources into Oracle Fusion Applications. Familiarity with localizations and security setup is a plus. Nice-to-Have Skills: Experience with Oracle Core HR, Absence, Benefits, and Payroll in Release 12.1.3.x / 12.2.x. Experience working in L1/L2/L3 support environments. Ability to analyze and decipher software logs and trace files to troubleshoot issues. Hands-on experience with XML, Java, J2EE, Oracle ADF, SOA, and Web Services. Strong functional/product expertise, with the ability to relate Oracle s functionality to business processes. Additional Skills: Effective analytical and organizational skills. Strong verbal and written communication skills in English; multilingual skills are a plus. A proactive learning orientation, staying up-to-date with emerging business models, processes, and Oracle product solutions. Experience in Managed Services, including client relationship management, offshore delivery management, project/program management, and successful delivery of KPIs. Ability to work in rotational shifts, manage a large team, and ensure SLAs are met for both EBS and Cloud/SaaS customers. Education & Experience: B.S. (Computer Science), BE, or equivalent preferred. Other qualifications with adequate experience may also be considered. Qualification : B.S. (Computer Science), BE, or equivalent preferred.

Company Overview Intuit is a global financial technology platform that drives prosperity for individuals and communities worldwide. Serving approximately 100 million customers through renowned products like TurboTax, Credit Karma, QuickBooks, and Mailchimp, we are dedicated to creating innovative solutions that empower everyone to prosper. We are constantly evolving to ensure that we can make this vision a reality for people everywhere. Job Overview At Intuit, we are committed to creating the future of financial technology by empowering people through innovation. The Experience Design team plays a pivotal role in bringing this vision to life. Our designers are deeply involved at every stage of product development from gathering insights and brainstorming ideas to prototyping, experimentation, and launching polished, user-friendly designs. We are innovating with technologies like machine learning and conversational UI to make every interaction seamless and delightful. We are looking for a Senior Design Leader to join the Go To Market (GTM) Technology team. This team is responsible for delivering some of the most critical customer-facing experiences across Intuit s entire ecosystem, including tools for monetization and experimentation. As part of the GTM Tech team, you will lead the design of Monetization experiences that include both pre-purchase and post-purchase customer interactions, impacting the success of Intuit's products. You will be responsible for designing and implementing a Monetization design system and overseeing projects within the Intuit Enterprise Suite. Additionally, you will lead a small team of designers and collaborate with external agencies, ensuring high-quality and impactful design solutions. This is a highly strategic role that offers the opportunity to influence monetization design across Intuit s products and to work at the intersection of marketing technology, personalization, and AI-driven experimentation. Responsibilities Design Leadership & Strategy Lead the design of Monetization experiences, focusing on both pre-purchase and post-purchase customer interactions, as well as sales-driven actions. Develop and lead the Monetization design system and contribute to the design of the Intuit Enterprise Suite. Be a role model in applying user-centered design (UCD) methodologies and design principles to solve customer challenges. Own the inputs for design strategy, design processes, design systems, and information architecture. Cross-Functional Collaboration Lead cross-functional collaboration with product management, product development, and project management teams to ensure timely and high-quality delivery of design solutions. Serve as the voice of design, advocating for design vision and solutions to business, product, and technology stakeholders. Team Leadership & Mentorship Lead and mentor a team of 2-3 full-time designers, helping them grow their design craft and develop key hard and soft skills. Collaborate with third-party design agencies to ensure efficient design production and on-time delivery. Work at Scale & Innovation Lead and execute the design of complex, large-scale projects that involve high-level design systems and reusable component libraries. Drive innovation by applying cutting-edge interactive design, including Generative AI and personalization technologies. Qualifications Experience: 15-18 years of experience in interaction design, product design, service design, or related fields. At least 10 years of experience managing and leading UX/UI designers. Education: Bachelor s or Master s degree in Product Design, Human-Computer Interaction, Interaction Design, or a related field. Alternatively, a Certified Usability Analyst certification is also acceptable. Skills & Expertise: Proven experience in applying user-centered design methodologies such as user-centered analysis, information architecture, task-flow design, and usability testing. Deep knowledge of design principles and the ability to apply them to create intuitive, user-friendly designs. Experience working with design systems and reusable component libraries. Additional Attributes: Highly organized, self-directed, and able to manage multiple, complex projects efficiently. Ability to build positive, collaborative relationships across teams and functions. Strong communicator and presenter with the ability to advocate for design vision and ideas effectively. Experience working with cross-functional teams and external agencies to ensure high-quality and timely delivery of designs. This role offers an exciting opportunity to lead design efforts that directly shape the future of monetization experiences and customer engagement across Intuit s ecosystem. You will work with cutting-edge technologies like Generative AI and personalization to create innovative and impactful solutions for millions of users around the world. If you're a visionary design leader passionate about creating customer-centric, innovative solutions at scale, we d love to hear from you. Join us and be part of a dynamic team that values creativity, collaboration, and leadership. Apply Now and help us shape the future of financial technology! Qualification : Bachelors or Masters degree in Product Design, Human-Computer Interaction, Interaction Design, or a related field.