Data Science Manager Paid Media Jobs in Bengaluru

Lead Regional Field Marketing Location: Bengaluru Employment Type: Full-time About Us Exotel is the leading full-stack customer engagement platform in emerging markets, recently licensed as a virtual telecom operator to provide end-to-end VoIP telephony services. Founded in 2011, Exotel s cloud-based product suite drives 70 million conversations daily for over 6,000 businesses across India, Southeast Asia, the Middle East, and Africa. Our offerings include: Omnichannel Contact Centre Communication API Suite Conversational AI Platform Exotel has achieved a $50M ARR and successfully raised $100M in Series D funding, winning recognition such as The ET Startup Awards 2022 Comeback Kid. Role Overview We are looking for a Lead for Regional Field Marketing to manage global field marketing initiatives, develop integrated marketing plans, and drive demand and pipeline growth across multiple regions, market segments, and target audiences. You will collaborate closely with sales, product, and marketing teams to execute campaigns and ensure alignment between marketing and sales priorities. Key Responsibilities Lead global field marketing efforts, developing and executing integrated marketing plans to meet demand & pipeline goals. Drive brand awareness and thought leadership across CXO communities and industries. Manage programs such as industry events, webinars, digital marketing, ABM, and customer advocacy to grow pipeline momentum. Partner with sales leadership on territory planning and act as a bridge between sales and marketing. Collaborate with product marketing, content, digital, creative, customer advocacy, and paid media teams to optimize marketing mix across channels. Communicate key campaigns and assets internally and externally, establishing structured feedback loops for campaign GTM success. Conduct analysis, goal reviews, and adjustments quarterly and annually to stay on track for campaign and pipeline targets. Experience: 6 10 years in marketing, ideally with B2B SaaS companies. Proven Track Record: Experience in building, scaling, and optimizing integrated marketing campaigns, preferably globally. People Management: Experience in hiring, mentoring, and leading high-performing teams. Demand Generation Expertise: Ability to drive enterprise segment demand generation. Communication Skills: Strong ability to collaborate and overcommunicate with internal and external stakeholders. Analytical & Strategic Thinking: Use market intelligence and data to develop strategies. Cross-functional Leadership: Experience leading teams across digital marketing, ABM, partner marketing, and other functions. Partner Ecosystem Knowledge: Understanding best practices in partner marketing and co-marketing. Operational Excellence: Responsible for organizational alignment, planning, and budget management. Technical Skills: Deep understanding of campaign management and marketing automation tools. Market Knowledge: In-depth understanding of Indian markets, vendor and agency relationships. Lead high-impact marketing initiatives for a high-growth SaaS company. Collaborate with a global, cross-functional team and drive measurable results. Opportunity to shape marketing strategy, scale programs, and build high-performing teams. Work in a fast-paced, innovative environment with cutting-edge AI and communication solutions. This role is ideal for someone with strong SaaS marketing experience, a strategic mindset, and proven leadership skills to drive regional and global field marketing success.

Position: Lead Product Analyst Location: Bengaluru Department: Product Job Type: Full-time Industry: FinTech / Product Analytics About Tide At Tide, we re on a mission to help small and medium enterprises (SMEs) save time and money. We provide them with business accounts, banking services, and a comprehensive suite of connected administrative solutions from invoicing to accounting. Tide is revolutionizing the small business banking market, with over 1.6 million members globally across the UK, India, Germany, and France. We re committed to creating a seamless, data-driven experience for our members through innovative technology and quick, low-fee services. About the Role As a Lead Product Analyst, you ll play a crucial role in shaping and influencing the Acquiring Product strategy, including POS, T2P, and Digital initiatives. You ll leverage your expertise in data analytics to uncover insights that drive merchant growth, optimize pricing, and improve portfolio performance. You will be a hands-on expert who works closely with cross-functional teams in Product, Marketing, Commercial, and Data Science, ensuring data-driven decisions power the product roadmap. This is an exciting opportunity for someone who thrives in a high-impact, high-autonomy environment and can both lead and execute. You ll be responsible for driving multiple initiatives simultaneously, creating clarity from ambiguity, and providing actionable insights that influence strategic decisions. Key Responsibilities Product Strategy Influence: Shape the strategy for Acquiring Products by identifying product and marketing opportunities based on data insights. End-to-End Analytics Projects: Lead analytics projects from beginning to end including problem definition, hypothesis framing, stakeholder alignment, insight delivery, and storytelling. Deep-Dive Analyses: Conduct in-depth analyses of the merchant lifecycle, including acquisition, activation, engagement, retention, pricing sensitivity, and churn triggers to inform product and marketing strategies. KPI Definition & Monitoring: Define and monitor key performance indicators (KPIs) for new product launches and ongoing performance to ensure alignment with impact metrics. Collaboration with Cross-Functional Teams: Partner with Product, Marketing, and Finance teams to uncover growth opportunities, measure performance, and provide data-driven recommendations for product strategy. Advanced Data Analysis: Use SQL and Python to explore large datasets, conduct statistical analyses, build segmentations, and test hypotheses. Innovation & Scalability: Proactively identify new areas for analytics contribution. Introduce fresh ideas, scalable analytical frameworks, and approaches to enhance the overall impact of data insights. Mentorship & Advocacy: Coach other analysts and stakeholders, fostering a culture of data-driven decision-making and elevating the business s analytical maturity. Data Storytelling: Translate complex data into clear, actionable business stories and visualizations using tools like Looker or other BI tools. What We Are Looking For Experience 10+ years of analytics experience, preferably in a high-growth product or SaaS company. Proven track record in product analytics, particularly within the merchant acquiring or digital payments domain. Strong Analytical Skills Expertise in SQL for complex querying and Python for data analysis or prototyping. Strong understanding of merchant lifecycle analytics, including acquisition, activation, engagement, and retention metrics. Strategic & Commercial Mindset Deep understanding of how to use data to optimize pricing, target specific customer segments, and drive product performance. Ability to prioritize initiatives based on business impact and alignment with strategic goals. Influence & Leadership Proven ability to influence senior stakeholders and drive change without direct authority. Comfortable in high-autonomy, high-impact environments, taking the initiative and owning outcomes. Communication Skills Ability to convert complex data into clear, compelling narratives that resonate with both technical and non-technical stakeholders. Proficiency in using BI tools (Looker, Tableau, etc.) to visualize and communicate insights effectively. Self-Motivation A self-starter who can work independently, take initiative, and lead multiple projects simultaneously. What You ll Get In Return Competitive Salary: Competitive compensation and performance-based bonuses. Health Insurance: Self & family health insurance along with OPD benefits. Life & Accident Insurance: Comprehensive protection with term & life insurance. Mental Wellbeing: Access to Plumm, a mental wellbeing platform for therapy sessions and courses. Learning & Development: An annual budget for courses, books, and coaching to help you grow. Stock Options: Equity options that allow you to benefit from Tide s future success. Work From Home Setup: A contribution toward setting up your home office. Time Off: 15 days of privilege leave, 12 days of casual leave, 12 days of sick leave, and 3 paid days off for volunteering or L&D activities. At Tide, we re Member First, Data Driven, and One Team. Our Working Out of Office (WOO) policy allows you to work from anywhere in the world for up to 90 days a year. We embrace flexible working hours, trust our employees to manage their own schedules, and foster a collaborative, supportive team culture.

Associate Product Manager UX Job Type: Full-Time Category: Product Management Location: Bangalore About Bright Bright is a fast-growing consumer fintech company on a mission to help Americans eliminate debt and build brighter financial futures. Using advanced data science and machine learning, Bright offers a powerful mobile platform that automates debt management and financial planning. With features like automated debt paydown, credit score improvement, refinancing, and smart budgeting tools, Bright supports users across credit cards, student loans, and auto loans. Backed by top-tier investors including Sequoia, Falcon Edge, and Hummingbird, Bright has raised over $90M in equity and debt funding. With 300,000+ users and 100,000+ positive reviews, Bright is one of the top emerging fintechs in the U.S. We re building the first global-scale Consumer Tech company from India designed for impact in the U.S. and beyond. About the Role As an Associate Product Manager UX, you will collaborate with Design, Engineering, Business, and Product teams to enhance the user experience across our key products: Bright Debt Manager, Bright Smart Account, and Bright Credit Accounts. Your focus will be on crafting seamless, intuitive, and intelligent user journeys that drive engagement and retention. Key Responsibilities Develop deep user insights through research, data analysis, and interviews. Define user personas and map detailed user journeys across key product touchpoints. Create wireframes and UX flows for onboarding, in-app interactions, notifications, and payment experiences. Collaborate with designers and engineers to translate concepts into high-fidelity UI. Maintain documentation of UX decisions across multiple Bright products and user experiences. Benchmark Bright s UX against leading consumer and fintech platforms. Define and track UX quality metrics to inform business and product decisions. What You ll Bring 2 4 years of experience in B2C Product, UX Design, or User Research roles. Strong understanding of product design principles and user-centered thinking. Proven ability to empathize with users and uncover usability pain points. Solid wireframing and prototyping skills (Figma, Sketch, or similar tools). Ability to work closely with UI designers to bring concepts to life. Bonus: Familiarity with front-end technologies (HTML, CSS, JavaScript frameworks). Experience at a high-growth consumer startup is a plus. What You ll Get The opportunity to join a world-class team building a global fintech brand. A culture that values ownership, inclusion, and innovation. Competitive compensation, including salary and stock options. A high-growth environment where your work directly impacts real users. Join us in building the future of consumer finance smart, data-driven, and user-first.

Lead Fullstack Engineer Location: Bangalore Company: Capital One India About Capital One India At Capital One India, we thrive in a fast-paced, intellectually rigorous environment where we solve real-world business problems at scale. By combining advanced analytics, data science, and machine learning, we unlock powerful insights and build cutting-edge, patentable technology products that drive innovation and impact. Team Overview: Machine Learning Experiences (MLX) The MLX team is at the core of Capital One s AI/ML transformation. We re shaping the way the enterprise builds, deploys, and monitors ML models and features providing the tools and platforms that enable every business line to deliver AI-powered experiences. From platform onboarding to observability, MLX sets the foundation for responsible, scalable machine learning across Capital One. Role Overview We are seeking a Lead Fullstack Engineer to architect and develop scalable, cloud-native applications that power our ML platforms. You ll be responsible for leading technical initiatives, mentoring team members, and driving the development of full-stack systems with a primary focus on Python and Go, and a working proficiency in React. This is a hands-on leadership role requiring deep cloud expertise (AWS), backend scalability know-how, and familiarity with ML observability concepts. What You ll Do Lead cross-functional teams on full-stack development projects that support machine learning platforms and observability tools. Design and develop robust applications using Python, Go, and React, adhering to scalable and maintainable coding principles. Architect cloud-native solutions on AWS, leveraging services such as Lambda, ECS, S3, DynamoDB, SQS, and IAM. Implement and optimize CI/CD pipelines, containerization with Docker/Kubernetes, and other DevOps best practices. Work closely with ML engineers and data scientists to enhance observability and monitoring for ML models in production. Utilize open-source frameworks to accelerate development and maintain system performance. Collaborate with product managers to deliver user-centric, cloud-based solutions that drive real customer impact. Conduct code reviews, mentor engineers, and maintain high technical standards across the team. Contribute to backend optimization, API development, and integration with real-time data systems. Required Qualifications 7 10 years of experience in software development, with a strong background in backend and full-stack systems. Expertise in Python and Go; strong ability to build scalable, maintainable systems. Proficiency in React for frontend development (medium level). Hands-on experience with AWS services such as Lambda, ECS, S3, DynamoDB, IAM, and SQS. Experience with ML observability frameworks and tools. Knowledge of open-source development frameworks and cloud architecture patterns. Proficiency in CI/CD, containerization (Docker, Kubernetes), and modern DevOps practices. Strong problem-solving abilities and a track record of leading technical initiatives in agile environments. Preferred Qualifications Experience monitoring ML models in production and integrating observability tools. Knowledge of event-driven architecture and microservices. Familiarity with GraphQL, WebSockets, and real-time data communication. Understanding of data streaming architectures and processing pipelines. Why Join Capital One Be part of a team building enterprise-scale platforms that power ML for millions of customers. Work on impactful, cloud-native solutions in a collaborative and high-growth environment. Collaborate with world-class engineers, data scientists, and product leaders. Enjoy a culture that values experimentation, learning, and technical excellence.

Position: Marketing Manager / Deputy Manager Type: Full Time Experience: 8 10 Years Location: Bangalore Role Purpose To lead integrated marketing efforts that drive lead generation, customer engagement, and sales enablement across digital platforms, marketing automation systems, and sales operations. This position is crucial in aligning marketing initiatives with sales productivity, ultimately boosting market share and customer reach for the organization. Key Responsibilities Market Analysis & Product Communication Conduct competitive benchmarking, market research, and customer insight gathering for the concrete equipment sector. Develop technical marketing collateral and product content in collaboration with Product Management & Engineering teams. Create newsletters, mailers, and presentations aligned with brand guidelines to support sales efforts. Sales Operations Support Partner with Sales teams to improve CRM usage, lead tracking, and pipeline visibility. Enhance customer journey mapping and conversion processes with sales and product teams. Analyze sales data for trends, opportunities, and engagement gaps. Support the design and implementation of sales enablement tools and mobile sales apps. Digital Marketing & Lead Generation Run and optimize SEO, SEM, and paid media campaigns to increase inbound leads. Manage digital presence across social media, email, and landing pages. Drive performance from platforms like IndiaMART and apply corrective actions where needed. Marketing Automation & Tools Implement and manage platforms such as HubSpot, Zoho Marketing Plus, Salesforce Marketing Cloud, or Marketo. Automate campaigns, lead scoring, and segmentation to enhance efficiency. Track campaign performance and optimize for improved ROI. Events, Exhibitions & Campaigns Plan and execute industry event participation (e.g., EXCON, BAUMA, Concrete Show) in coordination with marketing leadership. Support product launches, roadshows, BTL activities, and customer meets. Oversee vendor coordination and logistics for successful event execution. After-Sales Marketing & Customer Engagement Partner with After-Sales and Parts teams to roll out service campaigns, loyalty programs, and feedback initiatives. Design post-sale campaigns and customer health check content to maintain engagement. Reporting & Analytics Maintain dashboards to track digital, lead conversion, and sales enablement KPIs. Ensure CRM data hygiene and provide actionable insights. Assist with marketing budgeting and monthly expense tracking. Desired Skills & Competencies Strong B2B marketing background, preferably in industrial or capital goods sectors. Proficiency in CRM platforms (Salesforce, Zoho CRM) and marketing automation tools (HubSpot, Marketo). Excellent content creation skills for technical and product marketing. Strong analytical mindset with data-driven decision-making. Effective collaboration with cross-functional teams. Experience with SEO tools, Google Analytics, and LinkedIn Campaign Manager. Educational Qualifications MBA/PGDM in Marketing, Sales, or Business Analytics from a reputed institute. Preferred Industry Background B2B Industrial, Capital Goods, Construction Equipment, or Automotive Components. Qualification : MBA/PGDM in Marketing, Sales, or Business Analytics from a reputed institute

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: Data Science Manager Location: Bengaluru, Karnataka, India Department: Data Science Experience: 6 to 8 years About the Role We are seeking a highly analytical and detail-oriented Data Science Manager with deep expertise in Marketing Mix Modeling (MMM) to join our Data Science team. You will lead the development, implementation, and interpretation of MMMs to quantify the impact of marketing channels on business outcomes. Collaborating closely with marketing, finance, and strategy teams, you will guide media investments, enhance ROI, and drive data-driven decision-making. Key Responsibilities Collaborate with Engagement Managers, Account Delivery Managers, and client stakeholders to gather business requirements and define project scope. Develop and execute detailed project plans aligned with objectives. Design data science solutions tailored to client goals. Assign tasks to delivery team members based on their skills and monitor progress. Lead project execution, tracking milestones, ensuring timely and quality delivery. Monitor delivery quality and scorecard metrics; develop action plans for improvement. Lead scrum meetings, client stand-ups, and weekly business reviews. Enforce best practices for quality assurance including peer reviews, coding standards, and documentation. Provide both technical and business guidance to the delivery team. Mentor and coach team members to build a high-performance culture. Foster an environment of trust and encourage innovation. Review and approve team deliverables before client submission. Required Skills Technical Skills Advanced knowledge of probability, statistics, and practical machine learning, including awareness of pitfalls and mitigation approaches. Intermediate proficiency in Python and SQL. Intermediate knowledge of project management methodologies and tools. Competency in MS Office (Excel, PowerPoint, Word). Non-Technical Skills Strong business acumen with the ability to assess financial impact of decisions on delivery and client solutions. Skilled in storytelling and presenting data-driven insights to mid-management clients. Ability to balance pragmatic solutions with time and business impact considerations. Excellent interpersonal skills, including conflict resolution, empathy, communication, listening, and negotiation. Demonstrated leadership and mentorship abilities. Self-driven with strong ownership and accountability. Educational Qualifications Undergraduate degree in Engineering, Statistics, Mathematics, Computer Science, or related technical fields. Candidates with non-technical degrees should demonstrate relevant experience and technical aptitude. Qualification : Undergraduate degree in Engineering, Statistics, Mathematics, Computer Science, or related technical fields.

Job Title: Senior Manager Data Science, Data Modelling & Analytics Location: Bengaluru Department: Insights & Analysis About the Role: As a Senior Manager, you will lead a team of data scientists and analysts, driving the development and deployment of advanced analytics solutions that enable data-driven decision-making. This role blends strategic leadership with hands-on technical expertise, playing a critical part in delivering impactful insights and analytics across the organization. Key Responsibilities: Hands-On Technical Contribution: Design, develop, and deploy advanced machine learning models and statistical analyses to address complex business challenges. Utilize Python, R, SQL, and other tools to manipulate data and build predictive models. Manage end-to-end data pipelines including collection, cleaning, transformation, and visualization. Collaborate with IT and data engineering teams to integrate analytics solutions into production environments. Provide thought leadership on analytics solutions and metrics aligned with business needs. Team Leadership & Development: Lead, mentor, and manage a team of data scientists and analysts, fostering collaboration and innovation. Guide career development, conduct performance evaluations, and promote skill enhancement. Encourage continuous learning and adoption of best practices in data science methodologies. Strategic Planning & Execution: Collaborate with senior leadership to define and execute data science strategy aligned with business goals. Identify and prioritize high-impact analytics projects that deliver business value. Ensure timely and quality delivery of analytics solutions balancing scope and resources. Client Engagement & Stakeholder Management: Act as primary point of contact for clients, translating business challenges into data science solutions. Lead client presentations, workshops, and discussions, effectively communicating complex analytical concepts. Build and maintain strong client relationships, managing expectations and deliverables. Deliver regular reports and dashboards to senior management and stakeholders. Bridge communication between technical teams and business units to align analytics initiatives with organizational objectives. Cross-Functional Collaboration: Work closely with Business Intelligence, Market Analytics, and Data Engineering teams to integrate analytics into business processes. Translate complex insights into actionable recommendations for non-technical stakeholders. Facilitate data-driven workshops and presentations across the organization. Collaborate with support functions to provide timely leadership updates on operational metrics. Governance & Compliance: Ensure compliance with data governance policies and data privacy regulations (e.g., GDPR, PDPA). Implement best practices for data quality, security, and ethical analytics use. Stay abreast of industry trends and regulatory changes affecting data analytics. Qualifications: Education: Bachelor s or Master s degree in Data Science, Computer Science, Statistics, Mathematics, or related field. Experience: 12+ years in advanced analytics, data science, data modelling, machine learning, or related fields. 5+ years in leadership roles managing analytics teams and projects. Experience in BFSI, Hi-Tech, Retail, or Healthcare industries preferred. Experience with media data is a plus. Technical Skills: Proficiency in Python, R, SQL. Experience with data visualization tools like Tableau, Power BI. Familiarity with big data platforms (Hadoop, Spark) and cloud services (AWS, GCP, Azure). Strong knowledge of machine learning frameworks and libraries. Soft Skills: Excellent analytical and problem-solving skills. Strong communication and interpersonal abilities. Ability to influence and drive organizational change. Strategic thinker focused on business outcomes. Desirable Expertise: Advanced Analytics Techniques: Descriptive Analytics: Statistical analysis, data visualization. Predictive Analytics: Regression, time series forecasting, classification, market mix modelling. Prescriptive Analytics: Optimization, simulation modelling. Text Analytics: NLP, sentiment analysis. Machine Learning Techniques: Supervised Learning: Linear/logistic regression, decision trees, random forests, gradient boosting, SVMs. Unsupervised Learning: Clustering, PCA, anomaly detection. Reinforcement Learning: Q-learning, deep Q-networks. Generative AI & Large Language Models (Good to Have): Experience with GPT, Gemini, LLAMA, etc. for text generation, summarization, conversational agents. Hyperparameter tuning, prompt engineering, embeddings, fine-tuning. Additional Skills: Proficiency with Tableau or Power BI (advanced visualization). Strong data management, structuring, and harmonization skills.

Digital Marketing Executive Location: Bengaluru, India Experience: 3 - 5 Years Job Type: Full-time About VuNet VuNet pioneers Business Journey Observability using Big Data and Machine Learning to revolutionize digital experiences in financial services. Monitoring over 28 billion transactions monthly and impacting 300 million users, VuNet powers major banks across India and MEA. Role Overview: Digital Marketing Executive You will develop and manage online marketing campaigns to boost brand visibility, drive website traffic, and generate leads via SEO, social media, email marketing, and paid ads. Your work will significantly impact VuNet s growth and market presence. Key Responsibilities Execute email marketing campaigns and nurture sequences using HubSpot or similar tools Create and edit engaging marketing content for social media, newsletters, landing pages, and collateral Support multi-channel campaigns and optimize performance continuously Manage and update social media channels including LinkedIn, YouTube, and Twitter Analyze campaign performance and lead metrics to improve outcomes Basic knowledge of On-Page, Affiliate, and Technical SEO is a plus What You Bring 2-3 years experience in B2B marketing, preferably in tech or SaaS Hands-on experience with marketing automation tools like HubSpot, Zoho, or Mailchimp Strong written communication skills for content creation Comfortable with analytics tools and performance dashboards Collaborative mindset with excellent multitasking skills 100% health insurance covering you and dependents Mental wellness and 1:1 counseling support Culture fostering innovation, growth, and ownership Inclusive and transparent workplace environment Access to new Gen AI and integrated technology workspace Career development with training programs to enhance skills

Job Title: Business Analyst | 3-5 Years Experience | Product Management, Strategy Consulting | Bangalore, India Location: Bangalore, Karnataka, India About Goavega: Goavega is seeking a skilled Business Analyst/Product Manager with 2 to 3 years of hands-on experience in the Energy, Media, or Sports industry domains and a total of 4 to 7 years of professional experience. This role plays a key part in driving strategic consulting, business analytics, and product design execution to deliver innovative solutions that create real business value. Key Responsibilities: Strategic Planning and Vision: Define product vision, strategy, and roadmap aligned with business goals Conduct thorough market research and competitive analysis to identify growth opportunities and potential risks Collaboration and Execution: Partner with cross-functional teams including design, development, and client stakeholders to deliver impactful products Gather, document, and translate business requirements into clear technical specifications Work closely with development teams to ensure solutions meet business objectives and are delivered on time Performance Analysis and Improvement: Monitor and analyze product performance metrics to suggest improvements and enhancements Lead user acceptance testing (UAT) and ensure products meet business and customer needs Advisory and Decision Support: Prepare and present data-driven business cases to senior leaders and clients to support strategic decisions Assist in identifying new growth opportunities and defining strategic imperatives Thought Leadership and Expertise: Conduct quantitative and qualitative market and competitive research to inform product strategy Stay updated with industry trends and contribute to thought leadership and innovation initiatives Qualifications: Bachelor s degree in Engineering, Design, Computer Science, or a related field MBA or master s degree in design or product management is preferred 2+ years of experience in product management, business analysis, strategy consulting, or business analytics Strong analytical, problem-solving, and communication skills Ability to thrive in a fast-paced, dynamic work environment Preferred Skills: Knowledge of Automotive, Energy, CPG/FMCG, Mobility hubs, Media, and Sports industry landscapes Expertise in building strategies using data analytics and research methodologies Excellent ability to simplify and present complex information for diverse audiences Proactive learner with hypothesis-led problem-solving skills Familiarity with UX/UI design principles and statistical analysis methods Experience in business case development, requirement gathering, product roadmaps, and use case creation Programming knowledge in Python is a plus Open Positions: 1 Be part of a forward-thinking company driving innovation across multiple industry verticals Collaborate with cross-functional teams to create impactful, data-driven products Opportunity to grow professionally and make strategic contributions Qualification : Bachelors degree in Engineering, Design, Computer Science, or a related field

Performance Marketing Specialist Location: Bangalore Experience: 3-5 Years Company: KredX About KredX Founded in 2015, KredX has grown into a comprehensive financial solutions ecosystem, helping businesses of all sizes manage working capital efficiently. KredX is India s leading integrated supply chain finance solutions provider, uniquely holding both RBI s TReDS license and IFSCA s ITFS license. Our key platforms include: DTX (Domestic Trade Exchange): RBI-licensed platform enabling MSMEs to access early payments through invoice discounting. GTX (Global Trade Exchange): IFSCA-licensed platform offering seamless cross-border trade finance. CMS (Cash Management Solutions): AI-driven finance automation for streamlined enterprise financial operations. DTX (dtxindia.in) is powered by KredX, enabling MSMEs to get paid early with the lowest cost, supported by advanced finance automation technology for a secure and fast process. Role Overview We are seeking a Performance Marketing Specialist to lead and optimize paid marketing campaigns while contributing to the broader digital marketing strategy. This hands-on role requires expertise in platforms like Google Ads and Meta Ads, a strong analytical mindset, and a passion for driving measurable growth. Key Responsibilities Plan, execute, and optimize paid advertising campaigns across Google, Meta, and other digital platforms. Contribute to overall digital marketing strategies including campaign planning and channel mix decisions. Manage budgets effectively, tracking key performance indicators like CPC, CPA, and ROAS. Conduct A/B testing on creatives, copy, and targeting to maximize campaign effectiveness. Collaborate with content and design teams to create impactful marketing assets. Analyze campaign performance data and prepare actionable reports with insights and recommendations. Monitor brand presence across paid and organic social channels, coordinating with internal teams for cohesive messaging. Stay updated on the latest platform features, industry trends, and best practices to continuously improve campaigns. Requirements 3 to 5 years of experience in paid digital marketing. Proven track record managing performance campaigns with measurable ROI. Strong analytical skills and comfort with campaign data analysis. Proficiency in Google Ads, Meta Ads Manager, and Google Analytics. Strategic thinker with strong execution capabilities. Experience working in startups or fast-paced environments is a plus.

Marketing Reporting Analyst (Night Shift 8:30 PM to 5:30 AM IST) Location: Bangalore, India Office About the Team At Rubrik, our Marketing Team is growing rapidly and plays a pivotal role in driving the company s mission to secure the world s data. We push boundaries, challenge convention, and thrive on innovative thinking. With a culture rooted in opportunity and empowerment, we bring bold ideas to life and deliver measurable impact. Join us in shaping a fresh perspective in the world of data security. Let s be unstoppable, together. About the Role This is a night shift position, supporting our global marketing initiatives and ensuring timely reporting and insights for the U.S. team. What You ll Do Data Analysis & Reporting Analyze marketing performance across digital (organic & paid), traditional channels, and campaigns. Build and maintain dashboards and performance reports using tools like Tableau and Google Sheets/Excel. Performance Measurement Partner with the Sr. Manager of Marketing Analytics to implement the performance measurement roadmap. Track and report key metrics: lead generation, conversion rates, campaign spend, marketing ROI. Insights & Optimization Identify data trends and deliver actionable insights to improve marketing strategy. Support A/B testing, multi-touch attribution, and budget monitoring efforts. Handle ad hoc reporting requests from stakeholders. Data Integrity & Collaboration Ensure high data accuracy and resolve data quality issues proactively. Collaborate with IT and Data Engineering to maintain best practices for database management. Work cross-functionally with Marketing, Sales, Data Science, and IT to align reporting practices and deliver business insights. Contribute to the development of attribution models for marketing impact assessment. What You ll Bring 4 5 years of experience in an analytical role (marketing, finance, or related field). Bachelor's degree in Finance, Accounting, Marketing Analytics, or a related discipline. Expertise in Excel and Google Sheets advanced formulas, pivot tables, and data visualization. Experience with Tableau or Power BI. Solid grasp of financial concepts and their application in marketing analysis. Familiarity with Salesforce and marketing automation platforms (e.g., Marketo, HubSpot) is a plus. Working knowledge of SQL and relational databases. Strong attention to detail and ability to manage multiple priorities and deadlines. Excellent verbal and written communication skills able to translate complex data for non-technical audiences. A growth mindset and a proactive, solutions-oriented approach to challenges. Be part of a mission-driven company at the forefront of data security. Work alongside industry innovators and contribute to a fast-scaling marketing function. Enjoy a collaborative environment where your insights directly influence business outcomes. Access growth opportunities in a company recognized by Gartner and awarded the Red Dot Design Award. About Rubrik Rubrik (NYSE: RBRK) is redefining data security with Zero Trust Data Security . We help organizations across the globe stay resilient in the face of cyberattacks, insider threats, and disruptions. Rubrik Security Cloud, powered by machine learning, secures data across hybrid and cloud environments, ensuring data integrity, availability, and rapid recovery.

Lead Data Scientist Location: Bengaluru, India Employment Type: Full-time, Hybrid About Neuron7.ai Neuron7.ai is a rapidly growing AI-first SaaS company creating service intelligence products that are transforming industries such as high-tech devices, manufacturing, and medical devices. Backed by top Silicon Valley venture capitalists and an esteemed group of angel investors, we are recognized as a startup to watch. Our AI-driven platform helps enterprises make accurate service decisions at scale by delivering service predictions in seconds. By analyzing structured and unstructured data, alongside insights from leading experts, we empower service leaders to improve key metrics like first-call resolution, turnaround time, and service margins. At Neuron7.ai, you'll be part of a dynamic and innovative team that is redefining service intelligence. We value creativity, collaboration, and a commitment to pushing boundaries. Our goal is to lead the AI revolution in service decision-making, and we want you to be a part of that journey. About the Team As a Lead Data Scientist, you ll play a pivotal role in designing, developing, and deploying NLP-driven solutions for processing and analyzing large volumes of unstructured data. Your deep technical expertise will help launch AI products that directly impact users. You ll also mentor junior team members, ensuring technical excellence and fostering growth within the team. You'll collaborate closely with cross-functional teams and customers to solve complex challenges and create impactful AI solutions. What You ll Do: Lead NLP Development: Oversee the development and deployment of NLP-based solutions for processing and analyzing unstructured data at scale. Machine Learning Model Development: Design, train, and optimize machine learning models using popular libraries such as PyTorch, NLTK, and Scikit-learn. Cloud Deployment: Architect and deploy AI/ML products on cloud platforms such as Azure, GCP, or AWS. Collaboration: Work with data engineering teams to ensure seamless integration of AI models into production systems. Data Analytics: Perform advanced SQL analytics to extract actionable insights from structured datasets. Mentorship: Guide and mentor junior data scientists, fostering a culture of technical excellence within the team. Customer Engagement: Work closely with customers to understand their needs and translate those into technical solutions. Communicate complex technical concepts to non-technical stakeholders. Stay Current: Keep up-to-date with the latest advancements in NLP and machine learning to ensure best practices and cutting-edge solutions are applied. What We re Looking For: Experience: Minimum 10 years of experience in data science, specifically focused on NLP and unstructured data processing. Track Record: Proven experience in launching NLP-driven products to live users. Technical Expertise: Expertise in Python and libraries such as PyTorch, NLTK, and Scikit-learn. Hands-on experience with Transformer-based models (e.g., BERT, GPT). Cloud Proficiency: Strong experience with cloud platforms like Azure, GCP, or AWS for hosting and deploying AI/ML products. Data Engineering Knowledge: Familiarity with data engineering pipelines and best practices for scalable AI model deployment. SQL Proficiency: Proficient in SQL for data manipulation and advanced analytics. Problem-Solving: Excellent problem-solving skills with a strong ability to work with large-scale datasets. Leadership & Communication: Strong interpersonal and communication skills, with the ability to mentor team members and interact effectively with customers. Preferred Skills: MLOps Knowledge: Understanding of MLOps practices for model deployment, monitoring, and lifecycle management. Data Processing Tools: Familiarity with tools like Airflow, Spark, or similar frameworks for data processing. Customer-Facing Experience: Background in working with customer-facing applications and APIs to deliver AI-powered solutions. What We Do and Value: At Neuron7.ai, we prioritize integrity, innovation, and a customer-centric approach. Our mission is to enhance service decision-making using advanced AI technology, and we are committed to delivering excellence in all aspects of our work. Company Perks & Benefits: Competitive salary, equity, and spot bonuses Paid sick leave Latest MacBook Pro for your work Comprehensive health insurance Paid parental leave Hybrid work model with flexibility to work from our vibrant Bengaluru office Our Commitment to Diversity and Inclusion: Neuron7.ai is committed to fostering a diverse and inclusive workplace. We ensure equal employment opportunities without discrimination based on race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, marital status, or any other characteristic protected by law. If you re passionate about building innovative AI-driven solutions and want to be part of a forward-thinking team, we d love to hear from you!

Job Title: Backend Developer Intern (SDE) Cybersecurity | CloudSEK Location: Bengaluru, Karnataka, India About CloudSEK CloudSEK is a fast-growing AI-powered cybersecurity company that specializes in digital risk monitoring. Founded in 2015 and headquartered in Singapore, we are building the world s fastest and most reliable AI platform to identify and mitigate digital threats in real-time. We ve received multiple accolades, including: NASSCOM-DSCI Excellence Award for Security Product Company of the Year NetApp Excellerator s Best Growth Strategy Award Raised $7M Series A funding led by MassMutual Ventures At CloudSEK, we foster a culture that values curiosity, creativity, and collaboration. If you're passionate about cybersecurity and backend development, we want you on our team! What You'll Do (Internship Responsibilities) As a Backend Development Intern (SDE), you will: Work with experienced developers to design, build, and maintain scalable backend systems for our cybersecurity products Write clean and efficient code using modern programming languages like Node.js or Go Collaborate with cross-functional teams including front-end developers, data scientists, and product managers to deliver innovative features Participate in code reviews and contribute to maintaining high-quality coding standards Troubleshoot and fix bugs, performance bottlenecks, and security issues Document technical specifications and support materials Stay updated with emerging technologies in backend development and cybersecurity What We're Looking For (Intern Requirements) Pursuing or recently completed a degree in Computer Science, Software Engineering, or related field Solid understanding of backend development with skills in Node.js or Go Basic knowledge of APIs, databases (SQL), and web technologies Strong analytical and problem-solving abilities Excellent communication and teamwork skills Eagerness to learn, adapt, and grow in a dynamic environment Passion for cybersecurity and innovation Preferred Qualifications (Nice to Have) Exposure to cloud platforms like AWS, GCP, or Azure Experience with Docker, Kubernetes, or similar containerization tools Familiarity with CI/CD pipelines, Git, Jenkins, and DevOps workflows Understanding of NoSQL databases, caching, and distributed systems Hands-on experience working on real-world cybersecurity products Mentorship from a team of industry experts Flexible working hours and an open, vibrant office culture Free food, unlimited snacks, and drinks at our Bengaluru office Fun team events, games, and music we work hard and celebrate harder! Note: This is a paid internship opportunity. Duration and stipend will be discussed during the interview process. Join CloudSEK as a Backend Intern and work on cutting-edge technology that protects global digital assets. Apply now to be part of a team that s shaping the future of digital risk management. Qualification : Pursuing or recently completed a degree in Computer Science, Software Engineering, or related field

Job Title: Data Science Manager Location: Bengaluru, Karnataka, India Department: Data Science Experience: 6 8 Years Employment Type: Full-Time About CloudSEK CloudSEK is one of India s most trusted cybersecurity product companies, building world-class AI-driven platforms to detect and resolve digital threats in real-time. Our suite of products XVigil, BeVigil, and SVigil serve Fortune 500s and government bodies across the globe. Headquartered in Singapore and expanding rapidly across Asia, India, and the Americas, CloudSEK s mission is to create a safer digital ecosystem through contextual threat intelligence and proactive security. Role Overview: Data Science Manager (Marketing Mix Modeling) We are looking for a highly analytical Data Science Manager with specialized experience in Marketing Mix Modeling (MMM) to lead data-driven strategic initiatives. You will be responsible for delivering predictive models that evaluate the impact of marketing investments and optimizing ROI. The role involves direct engagement with cross-functional teams, including marketing, finance, and strategy, to influence key business decisions. Key Responsibilities Project Management & Delivery: Collaborate with Engagement Managers, Account Delivery Managers, and client stakeholders to define and refine business requirements. Develop detailed project plans that align with business goals and delivery timelines. Lead end-to-end execution of MMM projects, monitoring milestones, scope, and quality. Host internal scrum meetings and external Weekly Business Reviews (WBRs) with clients. Ensure all deliverables codes, dashboards, presentations meet quality standards and timelines. Report on delivery scorecard metrics and implement corrective action plans to improve performance. Data Science & Modeling: Design and develop Marketing Mix Models (MMM) to assess the effectiveness of marketing channels. Apply advanced techniques in predictive modeling, machine learning, and linear regression. Interpret model outputs to guide media planning, budget allocation, and strategic forecasting. Stay up-to-date with evolving methodologies and tools in data science and ML. Team Leadership & Coaching: Assign tasks based on team members strengths and monitor performance. Provide both business and technical mentorship, guiding team members through challenges. Build a high-performance, collaborative, and innovative delivery environment. Encourage experimentation and ownership within the team. Required Skills & Qualifications Technical Skills (Must-Have): Expertise in Marketing Mix Modeling (MMM) and predictive analytics. Advanced proficiency in machine learning, statistics, and data interpretation. Working knowledge of Python and SQL for data manipulation and model development. Intermediate experience with project management tools and methodologies (Agile/Scrum). Familiarity with MS Excel, PowerPoint, and data visualization tools. Soft Skills: Strong business acumen with the ability to translate insights into financial and strategic impact. Excellent communication skills for interacting with mid-level to senior stakeholders. Strong leadership and interpersonal skills: coaching, conflict resolution, and negotiation. Ability to balance perfection and pragmatism when delivering real-world solutions. Preferred Educational Background: Bachelor s degree in Engineering, Statistics, Mathematics, Computer Science, or a related technical field. Candidates with non-technical degrees must demonstrate strong technical aptitude through prior work experience. Impactful Work: Build models that influence multi-million-dollar marketing decisions. Collaborative Culture: Work alongside a high-energy, motivated, and diverse team. Growth Opportunities: Drive meaningful outcomes with room to experiment and lead. Work-Life Balance: Enjoy flexible working hours, a relaxed work environment, and plenty of snacks! Location: Work out of our energetic and innovation-driven Bengaluru office.

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

Product Design Manager Location: Bangalore, India Full Time Company: Meta Meta s Enterprise Products team is on a mission to create innovative experiences that empower employees and transform how we work. We are seeking a seasoned Product Design Manager in Bangalore to lead a talented design team focused on delivering best-in-class enterprise-level solutions that drive meaningful business outcomes. This role demands a proven leader with a strong track record of designing enterprise products, shaping strategy, and mentoring multidisciplinary teams. As part of the leadership team, you ll collaborate cross-functionally with product, engineering, UX research, content design, and data science to craft impactful, human-centered design solutions for Meta s internal products and systems. Key Responsibilities: Lead, mentor, and grow a high-performing team of product designers while fostering a culture of design excellence, collaboration, and inclusivity. Define team goals, align design resources to the highest priority projects, and ensure delivery of exceptional design work across enterprise products. Translate organizational goals into actionable product design opportunities and align team direction with cross-functional stakeholders. Maintain a high bar for visual and interaction design quality across the design lifecycle from discovery and strategy through delivery. Individually contribute to strategic initiatives involving complex, ambiguous problems and emergent product opportunities. Collaborate with product managers, engineers, UX researchers, and data scientists to ensure product solutions are grounded in user needs and business goals. Communicate clearly and effectively with senior leadership and executive stakeholders. Minimum Qualifications: 10+ years of experience in product design, with a focus on complex digital systems or enterprise tools. 5+ years of leadership experience managing and developing product design teams. Strong ability to drive product strategy and translate it into high-impact design work. Experience navigating large, matrixed organizations and working cross-functionally with technical and non-technical teams. Excellent communication and presentation skills, with experience influencing executive stakeholders. Preferred Qualifications: Experience working with distributed teams across multiple geographies. Background in designing for enterprise-level applications or internal business tools. About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. From Facebook and Instagram to WhatsApp and Messenger, we empower billions around the world. We re now moving beyond 2D screens into the future of digital experiences through AR, VR, and immersive technologies. Join us as we shape the next chapter of human connection. Equal Employment Opportunity: Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based on race, religion, color, national origin, sex (including pregnancy or related medical conditions), sexual orientation, gender identity or expression, age, veteran status, disability, or other legally protected characteristics.

Job Title: Senior Engineer - Kernel & Driver - Linux Job Summary The Senior Engineer for Kernel & Driver Development in Linux will be responsible for designing, developing, and maintaining embedded Linux systems and drivers. This role involves working on the kernel, device drivers, and board bring-up for various embedded platforms. The engineer will also work closely with cross-functional teams, analyze complex problems, and contribute to the continuous improvement of Linux-based systems. This position requires an individual with strong technical expertise in Linux, kernel development, and embedded systems. Key Responsibilities Kernel and Driver Development: Design, develop, and optimize embedded Linux kernel and device drivers, including board bring-up and device tree configuration. Customize, debug, and fix kernel and driver issues to enhance system performance and reliability. Collaboration and Support: Collaborate with internal teams and customers to resolve technical issues, provide solutions, and ensure system stability. Interact with project managers and team leads to ensure project milestones are met and quality standards are adhered to. System Integration and Testing: Perform system integration and testing to ensure compatibility and proper functioning of kernel and drivers across different platforms. Develop and execute test plans, debug kernel crashes, and perform root cause analysis. Continuous Improvement: Identify opportunities to optimize system performance and enhance the functionality of embedded Linux systems. Provide technical guidance and mentorship to junior engineers and contribute to best practices. Documentation and Reporting: Maintain accurate documentation for kernel configurations, driver designs, and bug fixes. Regularly update project progress, report risks, and participate in code reviews. Education and Experience Required Education: Bachelor's or Master's degree in Computer Science, Electronics, or a related field. Experience: 5+ years of experience in embedded Linux kernel and driver development, with strong expertise in debugging and system optimization. Technical Competencies Linux Kernel & Driver Development: Extensive experience with embedded Linux kernel, device tree, and driver development (customization, bug fixing, and optimization). In-depth knowledge of Linux kernel internals and system architecture. Platforms: Experience with ARM, x86/Intel Atom, or other embedded Linux platforms. Tools: Proficiency with tools such as Lauterbach, Makefile (build systems), Git, and Gerrit. Programming Languages: Strong proficiency in C programming language. Specialization Areas: Power Management Peripherals Media, Display, and Connectivity Data Protocols Security Performance Optimization Android (Optional) Carrier-grade Platforms Additional Competencies Problem-Solving: Ability to troubleshoot complex system issues and provide innovative solutions. Communication Skills: Strong written and verbal communication skills for technical documentation and customer interaction. Team Collaboration: Ability to work effectively with cross-functional teams, including hardware, software, and testing teams. Attention to Detail: Detail-oriented approach to design, debugging, and testing to ensure high-quality system performance. This position is ideal for an experienced engineer with a deep understanding of Linux kernel and driver development who is looking to contribute to cutting-edge embedded systems and gain exposure to new technologies in a fast-paced environment. Qualification : Bachelor's or Master's degree in Computer Science, Electronics, or a related field.

At Jupiter, we understand that money isn t just a subject it s a part of life that triggers a wide range of emotions. Our mission is to help people improve their relationship with money. As a financial services platform, we use technology to offer user-friendly products related to banking, loans, and investments. Whether it s a savings account, credit cards, investments, or payments, it s all on Jupiter. We simplify complex banking jargon, offer intelligent insights based on spending habits, and provide users with innovative tools to make sense of their finances. Our Journey So Far Founded in 2019 by Jitendra Gupta, best known for creating Citrus Pay, Jupiter was born from a simple idea: to create a modern, customer-first experience for managing money. In 2021, when we launched, we had a waitlist of 100,000 eager users, and within just 10 months, we grew to 1 million users. Today, we proudly serve 2.8 million+ happy customers. Our Insights feature automatically tracks and categorizes spending, even across external savings accounts. Our Edge CSB Bank RuPay credit card is loved for its transparent design and rewarding experience. And our No-Penalty SIP and Daily SIP at Rs 10 have made investing accessible to over 100,000 users. We embrace cutting-edge technology, data analytics, and a diverse, talented team that shares our vision of a more accessible, transparent, and inclusive financial ecosystem. Now, we re looking for passionate individuals to join us on this exciting journey. Who We're Looking For We re seeking a Performance Marketing Associate / Associate Manager to drive user acquisition and engagement through paid digital channels. If you re passionate about performance marketing, data-driven decisions, and campaign optimization, this is the role for you! Depending on experience, you will either lead execution or own the end-to-end campaign strategy. Roles and Responsibilities Campaign Strategy & Execution: Plan, set up, and optimize paid campaigns across Google Ads (Search, Display, YouTube), Meta, Programmatic, and other acquisition channels. Budget & Performance Management: Allocate and optimize marketing budgets to maximize ROI and improve Customer Acquisition Cost (CAC) efficiency. Data & Analytics: Monitor campaign performance using Google Analytics, Ads Manager, and internal tools, and generate insights to improve KPIs. Experimentation & Optimization: Conduct A/B tests on creatives, audiences, and bidding strategies to ensure continuous campaign improvement. Collaboration: Work closely with the Product, Brand, Content, and Design teams to align marketing efforts with business objectives. Reporting & Insights: Track performance metrics, identify trends, and recommend improvements to drive growth and efficiency. What s Needed for This Role Experience: 1-3+ years of performance marketing experience (either in-house or at an agency), depending on the role level. Technical Expertise: Hands-on experience running and optimizing campaigns across Google Ads, Meta Ads, Affiliates, and Programmatic channels. Analytical Skills: Strong analytical skills with experience in tools like Google Analytics, Facebook Ads Manager, and campaign tracking platforms. Data-Driven: Ability to analyze large datasets and translate them into actionable marketing insights. Optimization Expertise: Experience in A/B testing, audience segmentation, and conversion rate optimization (CRO). Bonus: Prior experience in FinTech, startups, or e-commerce growth marketing. Ownership Mindset: Proactive problem-solver who takes initiative and executes efficiently. Why You Should Work With Us Ownership Mentality: We value people who take ownership of their work and see projects through to completion. Meaningful Problem Solving: We love tackling complex problems and creating intuitive experiences that delight our customers. Healthy Conflict & Commitment: We encourage healthy conflict and value individuals who can commit to decisions with confidence. Relentless Excellence: We re always striving to set higher standards and are looking for individuals who want to grow and improve in a dynamic environment. Our Process We evaluate every candidate carefully to build a team of like-minded, passionate, and ambitious individuals. Here s a general overview of our hiring process: The Intro: Our recruitment team reviews all applications to find the best fit. We assess both skills and past work to ensure a great match. Two-Way Street: Interview with the hiring manager to understand your fit for the role and expectations. Assignments may be given. Culture Matters: We assess if you align with our company culture and if it s the right environment for you. The Offer: If we believe you re the right fit, we extend an offer to bring you on board!

About NetApp NetApp is the intelligent data infrastructure company, turning a world of disruption into opportunity for every customer. No matter the data type, workload, or environment, we help our customers identify and realize new business possibilities. And it all starts with our people. If this sounds like something you want to be part of, NetApp is the place for you. You can help bring new ideas to life, approaching each challenge with fresh eyes. We embrace diversity and openness because it's in our DNA. Of course, you won't be doing it alone. At NetApp, we're all about asking for help when we need it, collaborating with others, and partnering across the organization and beyond. "At NetApp, we fully embrace and advance a diverse, inclusive global workforce with a culture of belonging that leverages the backgrounds and perspectives of all employees, customers, partners, and communities to foster a higher-performing organization." George Kurian, CEO Job Summary As a Software Engineering Manager for the Solutions Integrations Engineering team at NetApp, you will lead a team focused on delivering solutions that meet customers' needs across engineered systems and cloud services. We work closely with ISVs and the startup ecosystem in the Virtualization, Cloud, AI/ML, and Gen AI domains to build solutions that matter for the customers. You will direct the activities of a software development team that designs, develops, tests, and owns the software lifecycle. You will impact the planning, execution, and delivery of parallel projects. Job Requirements Strong understanding of the software development lifecycle, quality assurance processes, and project management methodologies. Proven experience managing small to medium-sized software development teams. Demonstrated favorable results through providing leadership to the function. Ability to function independently in a fast-paced, dynamic environment with competing priorities. Experience with networking technologies, cloud technologies, and hybrid cloud solutions is a plus. Technical Skills: Understanding of the software development lifecycle. Strong proficiency in full-stack development MERN Stack, Python, Cloud, and modern ML frameworks. Knowledge of data storage, virtualization, and hypervisors such as VMware ESX and Linux KVM. Understanding of AI concepts, including server/storage architecture, batch/stream processing, data warehousing, data lakes, distributed filesystems, OLTP/OLAP databases, data pipelining tools, model training, inferencing, and RAG workflows. Experience with Unix-based operating system kernels and development environments (e.g., Linux or FreeBSD). Interface with customers and partners to resolve escalations. Education A minimum of 10+ years of experience as an individual contributor and 3 to 5 years as a technical manager. A Bachelor of Science degree in Electrical Engineering or Computer Science is required. A Master's or Ph.D. is preferred. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, and any protected classification. Statistics show women apply to jobs only when they're 100% qualified. But no one is 100% qualified. We encourage you to shift the trend and apply anyway! We look forward to hearing from you. We are all about helping customers turn challenges into business opportunities. It starts with bringing new thinking to age-old problems, like how to use data most effectively to run better and to innovate. We tailor our approach to the customer's unique needs with a combination of fresh thinking and proven approaches. We enable a healthy work-life balance. Our volunteer time-off program is best in class, offering employees 40 hours of paid time off each year to volunteer with their favorite organizations. We provide comprehensive benefits, including health care, life and accident plans, emotional support resources for you and your family, legal services, and financial savings programs to help you plan for your future. We support professional and personal growth through educational assistance and provide access to various discounts and perks to enhance your overall quality of life. If you want to help us build knowledge and solve big problems, let's talk. Submitting an Application To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application. Qualification : A Bachelor of Science Degree in Electrical Engineering or Computer Science, a Master Degree or a PhD or equivalent experience is required.