ADS Account Insights Scientist Jobs in Bengaluru

Position: Mechatronics & Big Data Scientist Developer Department: Research & Development Reporting To: General Manager Location: Bengaluru Key Responsibilities Machine Learning: Select features, build, and optimize classifiers using advanced machine learning techniques. Data Mining: Perform data mining using state-of-the-art methods to extract valuable insights from large datasets. Data Enhancement: Extend the company s datasets with third-party data sources when necessary to improve model accuracy and relevance. Data Collection & Processing: Improve data collection procedures to include all necessary information for building analytic systems. Data Cleansing & Integrity: Process, cleanse, and verify the integrity of data used for analysis to ensure reliable results. Ad-hoc Analysis: Perform ad-hoc analysis as needed, presenting the results in a clear, actionable manner. Anomaly Detection: Design and implement automated anomaly detection systems, tracking their performance over time to ensure accuracy. Behavioral Competencies Data-Driven: Strong inclination toward working with data and applying analytical thinking to solve complex problems. Detail-Oriented: Meticulous in data analysis and system development to ensure quality and precision in results. Skills and Expertise Machine Learning Algorithms Strong understanding of machine learning techniques and algorithms such as k-NN, Naive Bayes, SVM, Decision Forests, etc. Data Science Tools Experience with common data science toolkits like R, Weka, NumPy, and MatLab. Proficiency in at least one (preferably NumPy or R) is highly desirable. Data Visualization Skilled in data visualization tools such as D3.js, GGplot, or similar. Database Management Experience with query languages such as SQL, Hive, Pig, NiFi, or others depending on the company s stack. Familiarity with NoSQL databases like InfluxDB, MongoDB, Cassandra, HBase. Statistical Analysis Strong applied statistics skills, including distributions, statistical testing, and regression analysis. Programming Skills Good scripting and programming skills in languages like PHP, Slim, SQL, and Laravel. Big Data Technologies Knowledge of Hadoop, HDFS, NiFi, and other big data platforms and technologies. Qualifications Essential: MTech, MS, or equivalent in Mechatronics, Computer Science, or a related field. Experience: Minimum 2 years of hands-on experience in developing SDKs and working with Big Data platforms. Proven track record in machine learning, data mining, and data science projects. Qualification : MTech, MS, or equivalent in Mechatronics, Computer Science, or a related field

Position: Product Manager Growth Location: Bengaluru Employment Type: Full-Time About Zolve Zolve is the world s first **cross-border neo-bank**, enabling migrants and global citizens to access financial products such as credit, checking accounts, insurance, and loans based on their home-country credit score. By breaking geographical barriers, Zolve empowers users to navigate the world freely, offering seamless access to financial services across countries. As we continue to expand, we are looking for a strategic Growth Product Manager to drive initiatives that scale **user acquisition, engagement, and retention**. Role Overview The Growth Product Manager will lead **product-led growth** initiatives, leveraging data, experiments, and cross-functional collaboration to scale impactful features. This role requires a strategic thinker with hands-on execution skills, capable of **optimizing product funnels**, improving retention, and driving measurable growth. Key Responsibilities Growth Strategy & Execution Define and own the growth strategy across **acquisition, engagement, and retention**. Identify and prioritize high-leverage growth opportunities using analytics, user research, and market insights. Track industry shifts, competitor moves, and emerging technologies to infuse fresh ideas. Product Optimization Design and optimize **growth levers**, including onboarding funnels, referral programs, cross-sell/upsell flows, and engagement loops. Run **A/B and multivariate experiments**, deriving insights to boost conversion, reduce churn, and scale adoption. Elevate product thinking internally through PRD reviews, assumption challenges, and growth metric refinement. Metrics & Analytics Own critical **KPIs** such as **activation, retention, DAU/MAU, LTV, and ARPU**. Turn quantitative and qualitative insights into actionable strategies to improve product performance. Cross-Functional Leadership Collaborate with engineering, design, marketing, and executive teams to align growth initiatives with company objectives. Communicate effectively, presenting **data-driven business cases** and influencing stakeholders across levels. Qualifications Education: Bachelor s or Master s degree in Marketing, Business Administration, or related field. Certifications in Google Ads, Facebook Blueprint, or similar are a plus. Experience: **6 8 years of Product Management experience** with a strong growth focus, ideally in **fintech, consumer tech, or data-driven startups**. Proven track record of launching, scaling, and optimizing products with measurable growth outcomes. Hands-on experience with **A/B testing and analytics tools (SQL, Mixpanel, Amplitude, GA, etc.)**. Strong understanding of fintech business models, growth metrics, and regulatory dynamics. Skills & Competencies: Exceptional **problem-solving, prioritization, and execution skills**. Ability to influence and align cross-functional teams, from engineers to executives. Excellent communication skills, with the ability to craft and present compelling business cases. **Entrepreneurial mindset** with high ownership, bias for action, and comfort in fast-paced environments. Qualification : Bachelors or Masters degree in Marketing, Business Administration, or related field

Customer Experience Manager II (EST Shift Bangalore, India) Location: Bangalore, India Work Shift: EST (5:30 PM IST 2:30 AM IST) Job Type: Full-Time | Customer Support | Cloud Technology Job Overview We are looking for a highly motivated and experienced Customer Experience Manager II to join our dynamic Customer Support team. In this role, you will be responsible for managing strategic enterprise accounts, ensuring superior customer satisfaction, and driving proactive customer success strategies. You will serve as the primary point of contact (POC) for customer escalations, technical issues, and account health, while ensuring Rubrik delivers a world-class customer experience in the cloud data management space. Key Responsibilities Build strong relationships with key customer stakeholders and deliver a seamless support experience. Act as the escalation owner and trusted advisor for complex technical and service-related issues. Train customers on how to engage with Rubrik s support portal, submit tickets, and track issues effectively. Utilize Salesforce CRM to monitor account health and detect patterns that may lead to service disruptions. Proactively identify risks and initiate actions to drive customer retention and account stability. Collaborate with cross-functional teams including Engineering, Technical Support, and Sales Engineering. Create and deliver Root Cause Analysis (RCA) documentation and customer-facing status updates. Work closely with internal teams to ensure timely issue resolution and a proactive support approach. Lead project management activities during critical incidents and escalations. Deliver weekly performance and progress reports to internal stakeholders and customer teams. Qualifications and Skills Minimum 8 years of experience in customer experience management, technical support leadership, or enterprise account management roles. Proficiency with CRM platforms, especially Salesforce. Strong communication skills with the ability to deliver clear written documentation and customer updates. Hands-on technical knowledge in: Networking protocols Data storage systems Backup and disaster recovery solutions Cloud platforms (e.g., AWS S3, Microsoft Azure) Hypervisors (VMware, Hyper-V) Experience managing virtual cross-functional teams in a high-pressure environment. Proven ability to handle customer escalations and implement preventive measures. Familiarity with storage vendor ecosystems and best practices in enterprise IT environments. Bachelor s degree in Computer Science, IT, Business, or related field (Advanced degree is a plus). Willingness to travel for client engagements and team collaboration as needed. Preferred Competencies Background in cloud computing, SaaS support, or data protection technologies. Certifications in project management or cloud platforms (e.g., AWS, Azure). Ability to lead with a customer-first mindset and ensure customer loyalty through proactive engagement. Join Rubrik and be part of a company at the forefront of cloud data security, backup solutions, and customer-centric innovation. You ll work with leading technologies, support high-value enterprise clients, and help shape the future of data management in the cloud.

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.

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!

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

Data Engineer, Product Analytics Location: Bangalore, India Full Time Company: Meta Meta is looking for an experienced Data Engineer to join our Product Analytics team. In this role, you will work on some of the most extensive data sets in the world, crafting experiences for billions of people and millions of businesses. Your technical expertise and analytical mindset will help shape data solutions across Meta to drive user experience optimization, growth, and strategy. You'll work alongside software engineers, data scientists, and product managers to tackle the most interesting data challenges at a scale few companies can match. Key Responsibilities: Conceptualize and own the data architecture for multiple large-scale projects, balancing design and operational cost-benefit tradeoffs. Design and contribute to frameworks that improve logging data efficacy, working with data infrastructure teams to resolve issues. Collaborate with engineers, product managers, and data scientists to understand data needs and represent insights meaningfully. Define and manage Service Level Agreements (SLAs) for all data sets in allocated areas of ownership. Implement and maintain security models based on privacy requirements and ensure safeguards are followed to ensure data quality. Design, build, and launch sophisticated data models and visualizations that support multiple use cases across various products. Address complex data integration challenges using optimal ETL patterns, frameworks, and techniques from structured and unstructured data sources. Optimize existing processes, pipelines, dashboards, and systems to enhance the development of data artifacts. Influence product and cross-functional teams to identify data opportunities that will drive impact. Mentor junior team members by providing constructive feedback and receiving feedback to grow as a team. Minimum Qualifications: Bachelor s degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience. 4+ years of experience in roles focused on data engineering, data analysis, or similar positions, working with SQL, ETL, data modeling, and programming languages (e.g., Python, C++, Scala). Experience with SQL, ETL processes, and data modeling, along with at least one programming language (e.g., Python, C++, C#, Scala). Preferred Qualifications: Master's or Ph.D. degree in a STEM field (Science, Technology, Engineering, Mathematics). About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. Since launching Facebook in 2004, we have revolutionized how people connect. Our apps, including Messenger, Instagram, and WhatsApp, empower billions worldwide. Now, Meta is moving beyond 2D screens towards immersive experiences like augmented and virtual reality, building the next evolution in social technology. When you join Meta, you help shape the future of digital connection, taking us beyond screens, distance, and even the rules of physics. 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, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Qualification : Bachelors degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience.

Customer Success Manager About the Role: Customer Success Management Shopalyst offers a platform for brands to scale data-driven marketing with shoppable ads. With first-party purchase intent signals, we help brands leverage digital media with greater effectiveness and efficiency. You will be heading our customer success team who helps our customers adopt data-driven marketing at scale. Responsibilities Manage service delivery and customer satisfaction (KPI : Responsiveness and Quality of Response) Analyze data trends and client performance Build and Manage the operations team Provide input for product management and engineering teams Requirements Minimum of 10 years of relevant experience in Business Operations for a Digital Marketing agency, or media company. Experience in stakeholder and client management. Excellent communication, analytical and influencing skills. Ability to build and manage a team of associates Ability to work and succeed in a dynamic, quickly-changing environment. We understand that not all applicants will have skills that match the exact job description. We value diverse experiences in the relevant industry and encourage everyone who meets the required qualifications to apply. If you lack the desired experience, but do have theknowledge and confidence to leave a mark, go ahead and apply. Experience Minimum of 10 years of relevant experience Additional Notes At Shopalyst, we are creating a global workplace that enables everyone to find their true potential,purpose, and passion irrespective of their background, gender, race, sexual orientation, religion and ethnicity. We are committed to providing equal opportunity for all and believe that diversity in the workplace creates a more vibrant, richer work environment that advances the goals of our employees,communities and the business.

Senior/Customer Success Executive (Ads Management) About the Role: Senior/Customer Success Executive (Ads Management) As a Customer Success Executive (Ads Management), you will work towards enhancing the customer experience throughout their journey of our product usage. This will need you to deep dive into the customer business and the software and help the customers with various insights and the right moment and enhance their product usage experience at the same time work with the product team to define various features. Communicate effectively with both internal and external senior-level management to understand customer needs. This is a highly collaborative role, which requires excellent organization, clear communication and a passion for using data to drive successful partnerships. This role will be based out of Bengaluru, KA. Responsibilities Help our customers automate their digital ad activations using our Universal Ads Manager (across Social, Search, Video and Display) Leverage audience intelligence from our platform to help targeting precision in campaigns Leverage full funnel insights from our platform and help optimize campaigns Build lasting relationships with key customers and agency partners based on product advertising and service quality. Analysing and sharing reports to clients based on campaign performance. Requirements 3 6 years of experience in digital media planning and operations An understanding of campaign setup on popular platforms like Facebook, Google Ads and DV360 Strong data and analytical skills Experience in campaign management, analytics and ad serving technologies Experience in audience solutions like DMP/CDP We understand that not all applicants will have skills that match the exact job description. We value diverse experiences in the relevant industry and encourage everyone who meets the required qualifications to apply. If you lack the desired experience, but do have theknowledge and confidence to leave a mark, go ahead and apply. Experience 3 6 years of Relevant Experience Additional Notes At Shopalyst, we are creating a global workplace that enables everyone to find their true potential, purpose, and passion irrespective of their background, gender, race, sexual orientation, religion and ethnicity. We are committed to providing equal opportunity for all and believe that diversity in the workplace creates a more vibrant, richer work environment that advances the goals of our employees, communities and the business.

Senior Customer Success Executive Ad Automation About the Role: Senior Customer Success Executive - Ad Automation As the Customer Support Lead Ad Automation, you will be responsible for managing and leading the customer support team focused on resolving client issues related to using the Shopalyst Ad Automation platform that integrates with popular media platforms like Meta (Facebook), DV360, Google Ads etc. You will work closely with cross-functional teams, ensuring that customer issues are resolved promptly and that our clients can maximize the effectiveness of their digital advertising campaigns. You will also have the opportunity to shape and refine customer support processes, deliver exceptional service to clients, and be the voice of the customer within the organization. Responsibilities Team Leadership & Management Lead, mentor, and manage a team of customer support specialists focused on Shopalyst Ad Automation platform that integrates with popular media platforms. Set clear goals and objectives for the team and ensure consistent performance and adherence to service level agreements (SLAs). Conduct regular one-on-one meetings, performance reviews, and provide coaching to help team members grow in their roles. Develop and implement processes to improve team efficiency, collaboration, and customer satisfaction. Customer Support for Digital Ad Platforms Provide detailed customer support for clients using Shopalyst Ad Automation platform that integrates with popular media platforms like Meta (Facebook), Google Ads, DV360, and other digital advertising platforms. Troubleshoot and resolve issues related to ad campaign setups, targeting, tracking, reporting, and optimization. Handle complex client escalations and ensure timely and effective resolution of technical issues. Collaborate with engineering and product teams to address product-related challenges and improvements. Cross-functional Collaboration Work closely with the Product, Engineering, and Sales teams to relay customer feedback and advocate for client needs. Provide product insights and troubleshooting guidelines to both internal teams and clients. Assist the Sales and Account Management teams by providing product support for pre-sales activities and customer onboarding. Client Training & Education Conduct training sessions and create self-service resources (e.g., guides, FAQs) to empower clients to use Shopalyst Ad Automation platform. Stay up to date with new features, updates, and best practices in Shopalyst Ad Automation, Meta, Google Ads, DV360, and other relevant media platforms. Reporting & Documentation Maintain detailed records of customer interactions and technical issues within the support ticketing system. Provide regular reports and insights on team performance, common customer issues, and potential product improvements. Monitor ticket queues and ensure that customer queries are handled in a timely manner. Continuous Improvement Analyze customer feedback to identify trends and recurring issues to improve the overall customer experience. Drive initiatives to enhance customer satisfaction and streamline support processes. Additional Notes At Shopalyst, we are creating a global workplace that enables everyone to find their true potential, purpose, and passion irrespective of their background, gender, race, sexual orientation, religion and ethnicity. We are committed to providing equal opportunity for all and believe that diversity in the workplace creates a more vibrant, richer work environment that advances the goals of our employees, communities and the business.

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

About the job Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next. Account Management provide a secure and scalable platform that makes ad buying easier for businesses of all sizes. We take a strong Customer First mindset and have a responsibility to help advertisers achieve their business goals. Be a part of a team of analysts passionate about learning and using cutting edge data science and analytics techniques to shape our next generation Ads Account Management efforts. This role will manage a team of Data Scientists based out of Bengaluru. In this role, you will be responsible for managing a team and delivering insights, building and measuring key metrics, creating and maintaining reporting to assess our account management efforts. Responsibilities Work closely with the Account Management leadership team, UX, Marketing, and Support to develop a deep understanding of the needs of our advertisers, developers, and other partners. Set the direction, strategy, manage priorities and backlog of analytics projects, and coach a team of data scientists that support our account management efforts. Perform deep technical analyses with unstructured data (e.g., logs) to assess the success of our mobile efforts and new agency/large company account management products. Investigate fundamental business and product strategy questions. Deliver deep insights on specific topics and areas to provoke new feature/product ideas, or new interventions to drive improved advertiser experiences. Drive strategic analysis and reporting for business health metrics, focusing on retention, cost savings, and performance. Minimum qualifications: Master's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience. 7 years of experience with statistical data analysis, modeling, experimentation, causal inference, data mining, querying, and managing analytical projects with programming in SQL, Python, or R. 7 years of experience developing and managing metrics or evaluating programs/products. 5 years of experience as a people manager within a technical leadership role. Preferred qualifications: Experience managing a team of Data Scientists. Experience working with large and multiple datasets/data warehouses, and ability to pull from such data sets using relevant tools and coding. Strong business acumen and experience with utilizing unstructured data to answer open-ended business questions. Ability to start and direct work in an unstructured environment and comfortable dealing with ambiguity. Expertise in experimental design (e.g., A/B, multivariate, Bayesian methods) and incrementality analysis. Qualification : Master's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience.

Manager / Senior Manager - Digital Marketing Location: Bengaluru Type: Full-Time Experience Required: 5 7 Years Role Overview: Vertical Performance Leadership We are seeking a results-driven Digital Marketing Leader to spearhead performance initiatives for a key business vertical. You will take full ownership of Paid Media strategy, driving high-impact campaigns across Google, Meta, and other performance channels to achieve aggressive growth targets. Technical Expertise & Tooling Platform Mastery: Paid Social: Expert-level management of Meta Ads (Facebook/Instagram), including complex setup and scaling. Search & Affiliates: Proficiency in Google Ads (SEM) and managing Affiliate networks. Analytics: Deep experience with Google Analytics and other attribution/tracking tools. Strategic & Analytical Skills: Data-Driven Strategy: Ability to extract insights from complex datasets and translate them into actionable growth strategies. Budget Management: Proven track record of budget allocation, expenditure tracking, and ROI optimization. Market Intelligence: Sharp focus on industry trends, privacy regulations, and emerging AdTech tools. Key Responsibilities Channel Ownership: Lead the full lifecycle of paid social and search channels from campaign architecture to daily optimization. Performance Reporting: Provide regular, high-level performance reports and insights to key organizational stakeholders. Cross-functional Alignment: Partner with Product, Tech, and Creative teams to ensure marketing efforts align with the broader product roadmap. Innovation: Conduct A/B testing and experimentation to keep campaigns "ahead of the curve" in a competitive landscape. The Ideal Profile 5 7 years of experience, ideally within a high-growth startup environment. Exceptional communication skills with the ability to represent the performance marketing function in cross-functional forums. A proactive problem-solver who thrives on measurable results and operational excellence.

Lead Machine Learning Engineer - NLP Location: Bengaluru About Us: Observe.AI Observe.AI is the leading AI agent platform for customer experience. It enables enterprises to deploy AI agents that automate customer interactions, delivering natural conversations for customers with predictable outcomes for the business. Observe.AI combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents. It also enables teams to guide and augment human agents with AI copilots, and analyze 100% of human and AI interactions for insights, coaching, and quality management. Companies like DoorDash, Affordable Care, Signify Health, and Verida use Observe.AI to transform customer experiences every day by accelerating service speed, increasing operational efficiency, and strengthening customer loyalty across every channel. You will be shaping how AI transforms real-world challenges in the contact center space. As part of our world-class ML team, you ll work on developing cutting-edge LLM-powered solutions & Agentic AI, building end-to-end processing pipelines, and handling production challenges at scale millions of interactions daily. If you are truly an engineer at heart, excited about turning breakthroughs in multi-agent systems, LLMs, NLP, and ML into practical outcomes through applied research, and building scalable production systems, you will feel right at home. You ll also have the opportunity to publish in top conferences, and influence Observe.AI s product and platform strategy. What you ll be doing Design & develop state-of-the-art LLM-powered AI capabilities and Agentic AI/ Multi-agent systems end-to-end, from ideation to production for Observe.AI s product offerings, in a fast-paced startup environment. Work with cutting-edge tools and technologies in Machine Learning, Deep Learning & Natural Language Processing, including LLMs and LLM-powered technologies/ paradigms, including Agentic AI. Build/ maintain highly scalable production systems that power AI capabilities on Observe.AI product/ platform. Optimize ML models and processing pipelines for performance, cost-effectiveness, and scale. Work with a world-class ML team in building exciting stuff, mentor juniors, and influence peers/ stakeholders. Collaborate cross-team with engineers, product managers, customer-facing teams, and customers to understand pain points and business opportunities. Keep up-to-date with the latest ML/ DL/ NLP literature and influence the technological evolution of Observe.AI platform. Contribute to the community through tech blogs and publishing papers in ML/ NLP conferences like EMNLP, ACL, etc. What you ll bring to the role Education: Bachelor s or Master s degree in Computer Science or related disciplines from a top-tier institution with exposure to ML/ DL/ NLP/ NLU. An engineering mindset with the competencies of an applied scientist. 5+ years of industry experience in building large-scale NLP/ NLU systems, with recent experience in building LLM-powered applications and Agentic systems. Strong understanding of the fundamentals of ML and NLP/ NLU, and practical aspects of building ML systems in production. Good understanding of recent advances in building LLM-powered applications, and multi-agent systems at scale. Excellent implementation skills in Python and Machine Learning Frameworks such as Pytorch, Tensorflow, HuggingFace, etc., and deploying/ maintaining scalable machine learning systems in production. Ability to provide thought leadership in one or more technical areas of interest to Observe.AI, and influence product development. Excellent communication, collaboration skills, and presentation skills. Experience with Spoken Language Understanding is a plus. Published papers in top NLP/ NLU conferences or workshops are a plus. Relevant open-source contributions are a plus. Perks & Benefits Medical Insurance: Excellent options and free online doctor consultations. Leave Policies: Yearly privilege and sick leaves as per Karnataka S&E Act, generous holidays (National and Festive) recognition and parental leave policies. Learning & Development fund to support your continuous learning journey and professional development. Fun events to build culture across the organization. Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.). Qualification : Bachelors or Masters degree in Computer Science or related disciplines from a top-tier institution with exposure to ML/ DL/ NLP/ NLU

Position: Social Media Executive (Graphics & Video Specialist) Location: Bengaluru Employment Type: Full-Time Job Overview We are seeking a highly creative and results-driven Social Media Executive to serve as the voice and visual face of Fracktal across all digital channels. This role combines strategic social media management with hands-on content creation, with a strong focus on producing compelling **graphics and high-quality video content** for a technical and industrial audience. Key Responsibilities Content Creation & Production (Primary Focus on Graphics & Video) Plan, script, shoot, and edit **original video content** for platforms like YouTube, Instagram Reels, and LinkedIn (including product demos, testimonials, and explainer videos). Design professional, on-brand **visual assets** such as infographics, social media posts, stories, and ads using tools like **Adobe Creative Suite or Canva**. Ensure consistent visual identity and brand voice aligned with the additive manufacturing industry. Social Media Strategy & Management Develop and implement a comprehensive social media strategy across **LinkedIn, Instagram, YouTube, and Facebook**. Maintain a dynamic **content calendar** balancing promotional, educational, and engagement-focused posts. Monitor, listen, and respond to user interactions, ensuring professional and timely **community management**. Analytics & Reporting Track, analyze, and report on **key social media metrics** (reach, engagement, traffic, conversions). Use **data-driven insights** to optimize content strategy and enhance future campaign performance. Industry Engagement Stay updated on the latest social media trends, platform updates, and advancements in **3D printing and additive manufacturing** to create relevant and engaging content. Key Skills & Requirements Experience: 1 3 years in social media management, digital marketing, or related roles. Creative Skills: Strong proficiency in **graphic design (Photoshop, Illustrator, or equivalent)** and **video editing (Premiere Pro, Final Cut Pro, or equivalent)**. Portfolio: Must provide a **portfolio** demonstrating experience in creating engaging social media graphics and video content. Technical Aptitude (Optional but Advantageous): Basic understanding of or strong interest in engineering, **3D printing**, or manufacturing technologies. Soft Skills: Excellent written and verbal communication, attention to detail, and ability to work independently in a fast-paced environment. Compliance & Safety Ensure adherence to industry regulations, company policies, and safety protocols. Maintain a clean, organized, and hazard-free work environment.

Video Editor Bengaluru | Design | Full-Time About Fam (formerly FamPay) Fam is India s first payments app built for users 11 years and above. From seamless UPI payments to the customizable FamCard, we re on a mission to empower over 250 million young Indians to start their financial journey early and smart. Founded in 2019 by IIT Roorkee alumni, Fam is backed by top-tier investors like Elevation Capital, Y-Combinator, Peak XV (Sequoia Capital India), Venture Highway, and angels like Kunal Shah and Amrish Rao. About This Role We re on the hunt for a **Video Editor** who lives for storytelling through motion. If you re passionate about clean edits, eye-catching transitions, and thumb-stopping animations, you ll fit right in. You ll bring Fam s story to life across social media, product launches, ads, and more working closely with designers, marketers, and product teams. What You ll Do Edit compelling video content social clips, ads, explainers, and product demos. Create storyboards, style frames, and motion concepts. Design reels, GIFs, and short-form animations for platforms like **Instagram and YouTube Shorts**. Add music, sound design, voiceovers, and smooth transitions to elevate narratives. Simplify complex ideas with engaging motion design. Color-grade and polish videos for a cinematic look. Collaborate across teams to bring creative briefs to life. Ensure all content stays consistent with brand guidelines. Keep files and assets meticulously organized. Must-Haves 2-4 years of video editing and motion design experience (portfolio required!). Proficiency with Premiere Pro, After Effects, and Adobe Creative Suite. Strong sense of pacing, storytelling, and visual style. Experience creating content for Instagram, YouTube Shorts, and similar platforms. Comfortable with Figma, Rive, and animation tools like Lottie. Ability to manage multiple projects without missing deadlines. Organized file management skills. Team player who can also confidently work independently. Nice to Have Experience in fintech or fast-paced tech startups. Leadership experience on creative projects. Enthusiasm for AI tools and new creative workflows. Trend-savvy, meme-loving attitude. Be part of a vibrant, creative team shaping a fast-growing brand. Work on projects that reach and engage millions of **Gen Z users**. Enjoy creative freedom with room to experiment. Collaborate with passionate, talented teammates who value bold ideas. Access the latest tools and resources to sharpen your craft. Perks That Go Beyond the Paycheck Relocation assistance. Free office meals (lunch & dinner). Generous leave policies (birthday, period, paternity/maternity, and more). Salary advances and loan support. Quarterly rewards, recognition, and referral bonuses. Latest gadgets and tech. Comprehensive health insurance and mental health support. Tax benefits including food coupons, phone reimbursements, and leasing options. Retirement benefits: PF, gratuity, leave encashment. About FamApp FamApp champions financial inclusion for India s youth with UPI and card payments for ages 11+. Our flagship account, FamX, blends UPI and card payments, making money management easy, fun, and educational. With over **10 million users**, FamApp is revolutionizing how young Indians transact no more cash hassles, and full customization options to make payments personal and playful. Backed by top investors and powered by a mission-driven team, Fam is where innovation meets impact.

Data Scientist I Job Type: Full-Time Category: Data Science Location: Bangalore About Bright Money Bright is a mission-driven consumer fintech company helping Americans get out of debt and build stronger financial futures powered by data science and machine learning. Our mobile platform provides personalized tools for credit building, debt paydown, budgeting, and loan refinancing. With 300,000+ users, 100,000+ reviews, and support from top-tier investors like Sequoia, Falcon Edge, and Hummingbird, Bright is one of the fastest-growing fintech startups in the U.S. We ve raised $90M+ in equity and debt funding to date. We're proud to be building a global-first, data-driven consumer tech company from India, for the world. About the Role As a Data Scientist I, you will be part of a high-impact team using data and machine learning to power Bright s core financial products. You ll work on problems that directly improve users financial outcomes modeling behavior, predicting intent, and enabling smarter, automated experiences. This is a hands-on role for someone with strong fundamentals in ML, statistics, and programming, and a desire to turn data into real-world product impact. Key Responsibilities Design and build predictive models using core concepts of machine learning, statistics, and probability. Analyze large-scale user and transactional data to extract insights and inform strategy. Collaborate cross-functionally with product managers, engineers, and business stakeholders to define and solve problems. Deploy ML models into production environments, ensuring scalability, stability, and performance. Tune, evaluate, and interpret model results to maximize business value and user outcomes. Document methodologies and workflows for reproducibility and team collaboration. Stay current with AI/ML advancements and experiment with new techniques as appropriate. Required Qualifications Bachelor s or Master s degree in Computer Science, Statistics, Mathematics, or a related quantitative field. Strong grasp of ML and statistical concepts (e.g., regression, classification, hypothesis testing, probability distributions). Proficiency in Python or R, and experience with ML libraries such as scikit-learn, TensorFlow, or PyTorch. Familiarity with model deployment tools and frameworks (e.g., Docker, Flask/FastAPI, MLflow). Understanding of how to implement and monitor models in a real-world production environment. Awareness of modern AI techniques including transformers, LLMs, and generative AI. Strong problem-solving skills, curiosity, and ability to communicate complex ideas clearly. Exposure to cloud platforms like AWS, GCP, or Azure is a plus. Bonus Points For Experience with deep learning and advanced neural network architectures. Understanding of MLOps best practices (CI/CD for ML, monitoring, retraining pipelines). Personal projects, open-source contributions, or research publications in AI/ML. What You ll Work On Model user behavior and financial patterns to power intelligent product features. Analyze complex transaction datasets to surface actionable insights. Build and deploy ML systems that personalize savings and debt management strategies. Apply deep learning, reinforcement learning, and LLMs to real-world fintech use cases. Collaborate with engineering and product teams to launch data-powered experiences in the Bright app. Experiment with cutting-edge AI technologies to innovate in consumer finance. At Bright, you ll go beyond theory you ll use data to change lives. This is your chance to build meaningful, scalable machine learning systems that empower users to take control of their financial future. Qualification : Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or a related quantitative field

Job Title: Sr. Data Science Engineer Location: Bangalore Experience: 5 8+ Years Job Description As a Senior Data Science Engineer, you will develop and maintain scalable data pipelines and manage API integrations to support growing data volume and complexity. You will play a key role in ensuring data quality and enabling accurate AI model development through effective data handling and automation. Responsibilities Monitor data quality and implement processes for data cleansing and validation. Analyze data to troubleshoot and resolve data-related issues promptly. Develop automation workflows for efficient data labeling, preparation, and augmentation to improve AI model accuracy and utility. Requirements Proven experience as a Data Scientist, Data Analyst, or related role, with experience in data mining. Strong proficiency in data manipulation using Python or R; familiarity with Scala, Java, or C++ for raw data processing is a plus. Experience with business intelligence tools (e.g., Tableau) and big data frameworks like Hadoop and Spark. Strong mathematical foundation, especially in statistics and algebra. Advanced SQL skills with experience in database development, data migration, and integration. Expertise in exploratory data analysis and familiarity with common data science toolkits. Ability to communicate complex data insights clearly and effectively to non-technical stakeholders. Familiarity with data management tools and experience applying machine learning and AI techniques.

Job Title: Assistant Manager Performance Marketing Location: Bangalore Department: Performance Marketing Employee Type: Full-time Experience Required: 3 6 years Position Overview We are seeking a results-oriented Assistant Manager - Performance Marketing to lead our efforts across Google advertising (Web & App), SEO, ASO, and website performance optimization. This role is crucial to driving both paid and organic user growth, enhancing digital discoverability, improving user experience, and boosting conversion rates. The ideal candidate combines strategic vision with hands-on execution skills and has deep expertise in performance marketing, search optimization, and mobile growth strategies. Key Responsibilities Google Campaigns (Web & App): Strategize, execute, and optimize Google Ads campaigns across platforms including UAC, Performance Max, Search, and TROAS. Manage cross-channel ad campaigns to acquire high-intent users for both websites and mobile apps. Define audience segments, manage bidding strategies and budgets, and conduct creative testing to improve engagement and ROI. Collaborate with creative, product, and data teams to deliver targeted, performance-driven campaigns. Search Engine Optimization (SEO): Own and evolve the SEO roadmap to enhance organic rankings, traffic, and search visibility. Conduct technical, on-page, and off-page SEO audits and coordinate implementation with content and development teams. Develop content strategies aligned with keyword research, user intent, and business goals. Track and analyze key SEO metrics using tools such as Google Search Console, SEMrush, Ahrefs, and Screaming Frog. Hands-on experience managing CMS and web hosting platforms. App Store Optimization (ASO): Lead ASO initiatives for the Google Play Store to increase app visibility and installs. Optimize app metadata including titles, descriptions, keywords, screenshots, and videos based on data insights. Run A/B tests using Store Listing Experiments and ASO tools like AppTweak or SensorTower. Monitor app store rankings, user reviews, and competitor performance to inform strategy. Experience: 4+ years in digital marketing with proven success in Google Ads, SEO, ASO, and website performance optimization. Expertise: Deep understanding of web and app acquisition strategies, Google Ads platforms (including Firebase and GA4), and ASO/SEO tools. Analytical Skills: Strong ability to interpret data and translate insights into actionable marketing strategies. Technical Knowledge: Familiarity with web technologies, mobile user acquisition funnels, and performance measurement tools. Certifications: Google Ads and Google Analytics certifications preferred. Additional Tools: Experience with Firebase, Appsflyer or other Mobile Measurement Partners (MMPs), Google Play Console, Google AdMob, and Adsense. Soft Skills: Excellent communication, collaboration, and project management abilities. If you re passionate about driving growth through performance marketing and thrive in a fast-paced environment, we d love to connect with you.