Earnin

We are seeking a talented IT Help Desk Specialist to join our team The ideal candidate should possess strong customer service skills, be detail-oriented, and have solid troubleshooting experience with macOS and Windows Proficiency in mobile device management (MDM) workflows, device trust, and zero-trust security principles is required Proficiency in VPNs and networking, and the ability to manage high-level projects are also essential This position will be hybrid from our Bengaluru office as part of our expanding site location EarnIn provides excellent employee benefits, including healthcare, internet/cell phone reimbursement, a learning and development stipend, and opportunities to collaborate with and travel to our Palo Alto HQ and Bangkok Site Our salary ranges are determined by role, level, and location WHAT YOULL DO In this role, you will provide comprehensive IT support to internal and external teams. You will take full ownership of IT processes from initiation to completion, continuously identifying opportunities for improvement. This includes assisting stakeholders with mobile device management and implementing robust security measures to safeguard company data and systems. You will also closely collaborate with the U.S.-based IT team to support global operations, shared objectives, and goals. You will configure and manage macOS and Windows environments, administer MDM platforms such as Jamf Pro, Microsoft Intune, and VMware Workspace ONE, and oversee user management across various SaaS applications. Strong communication and collaboration skills are essential, as is the ability to work effectively in a team environment. Proven experience in project management is required to lead complex initiatives and deliver high-quality outcomes. The role also demands strong troubleshooting skills and the ability to resolve technical issues quickly and efficiently. WHAT WERE LOOKING FOR Excellent verbal and written communication skills, with the ability to clearly articulate technical issues and solutions Required to be on-site at least 2 days a week and more as needed in our Bengaluru office. Strong customer service mindset and experience as the first point of contact for technical support via Slack, email, phone, and web conferencing. Demonstrated problem-solving skills with the ability to troubleshoot and resolve issues in a professional and timely manner, and follow up with users to ensure full resolution 3+ years of experience in IT support, sysadmin, and device management roles, with deep expertise in macOS and Windows ecosystems. Proficient in managing devices with MDM platforms such as Jamf Pro, Microsoft Intune, and VMware Workspace ONE, including deployment automation, patching, and enforcing security/compliance policies Skilled in SaaS and identity management tools such as Okta and Google Workspace; experienced with SSO, MFA, lifecycle scripting, and integrating systems like Slack, GitHub, Zoom, Jira, and endpoint security solutions. Familiarity with Jira project management and service desk platform Experienced with internal and external user onboarding and offboarding, including account creation/deletion, access provisioning/deprovisioning, and laptop provisioning/deprovisioning. Strong attention to detail in ensuring all work is completed on time and aligns with the company s security and compliance requirements Ability to train users on helpdesk processes, including IT and security policies and practices Strong teamwork skills and the ability to consider the big picture and consequences during the decision-making process Ability to follow written and verbal instructions and willingness to learn and develop technical and soft skills Strong appreciation for the importance of documentation in maintaining reliable and repeatable processes Self-starter who can work independently while consistently producing high-quality results Basic to intermediate scripting skills in Bash, PowerShell, or Python

About EarnIn As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks. We re fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We re growing fast and are excited to continue bringing world-class talent onboard to help shape the next chapter of our growth journey. POSITION SUMMARY As a Fintech company where Machine Learning (ML) is one of the key features, our operations highly rely on machine learning models, from business decisions to customer experiences. Therefore, ensuring our machine learning systems health and scalability is critical. To guarantee the success of machine learning systems, work needs to be done around transforming ML models to high-performance production-level code. This includes not only implementing sophisticated machine learning algorithms but also robustness monitoring, system logging/alarming, and DevOps. This position will be based in Bengaluru, which is part of our expanding site location. WHAT YOUll DO Design, build, and launch efficient and reliable machine learning (ML) models to drive business impact. Train and validate state-of-the-art multi-modal, multi-task deep learning models as well as statistical models considering use-case, complexity, performance, and robustness Demonstrate an end-to-end understanding of applications and develop a deep understanding of the why behind our models and systems. Work closely with data platform teams to enable robust, scalable batch and real-time data pipeline.s Drive the teams high ML and engineering standards through learning and knowledge sharing. Drive engineering best practices around code reviews, automated testing, and monitoring WHAT WERE LOOKING FOR Bachelors, MS degree, or PhD degree in Computer Science or a related technical field 0-1 year of experience in ML engineering Strong programming skills in Python and data engineering skills In-depth knowledge of machine learning algorithms Knowledge of or ability to quickly learn architectural patterns for large, high-scale software applications Strong oral and written communication skills Experience in NLP or CV is a plus #LI-Hybrid

About EarnIn As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks. We re fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We re growing fast and are excited to continue bringing world-class talent onboard to help shape the next chapter of our growth journey. POSITION SUMMARY As a Fintech company where Machine Learning (ML) is one of the key features, our operations highly rely on machine learning models, from business decisions to customer experiences. Therefore, ensuring our machine learning systems health and scalability is critical. To guarantee the success of machine learning systems, work needs to be done around transforming ML models to high-performance production-level code. This includes not only implementing sophisticated machine learning algorithms but also robustness monitoring, system logging/alarming, and DevOps. This position will be hybrid from our Bengaluru office as part of our expanding site location. EarnIn provides excellent employee benefits, including healthcare, internet/cell phone reimbursement, a learning and development stipend, and opportunities to collaborate with and travel to our Palo Alto HQ and Bangkok Site. Our salary ranges are determined by role, level, and location. WHAT YOULL DO Design, build, and launch efficient and reliable machine learning (ML) models to drive business impact Train and validate state-of-the-art multi-modal, multi-task deep learning models as well as statistical models considering use-case, complexity, performance, and robustness Demonstrate end-to-end understanding of applications and develop a deep understanding of the why behind our models & systems Partner with product managers, tech leads, and stakeholders to analyze business problems, clarify requirements, and define the scope of the systems needed Work closely with data platform teams to enable robust, scalable batch and real-time data pipelines Drive high ML and engineering standards on the team through mentoring and knowledge sharing. Drive engineering best practices around code reviews, automated testing and monitoring WHAT WERE LOOKING FOR MS degree or PhD degree in Computer Science or a related technical field 4+ years of experience in ML engineering Strong programming skill in Python and data engineering skills Extensive knowledge of machine learning algorithms Hands-on experience on architectural patterns for large-scale software applications Industry experience building and productionizing machine learning systems Strong oral and written communication skills Experience in NLP or CV is a plus #LI-Hybrid

About EarnIn As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks. We re fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We re growing fast and are excited to continue bringing world-class talent onboard to help shape the next chapter of our growth journey. POSITION SUMMARY This is a high-impact role with significant excitement. You will work across the team, help drive data-driven decisions, establish new business metrics, and own the automated reporting systems. You will develop solutions to complex business problems characterized by imperfect data. You will gather, transform, and present data to enable data-driven decision-making. You will help scale the analytics we are offering to both internal and external stakeholders. This position will be hybrid from our Bengaluru office as part of our expanding site location. EarnIn provides excellent employee benefits, including healthcare, internet/cell phone reimbursement, a learning and development stipend, and opportunities to collaborate with and travel to our Palo Alto HQ and Bangkok Site. Our salary ranges are determined by role, level, and location. WHAT YOULL DO Streamline data flows from the source and produce high-quality data and pipelines (15%) Develop and maintain data pipelines, ETL processes, and data integration workflows to ensure efficient and accurate data acquisition from various internal & external sources using SQL, Python, or other scripting languages. Work with data infrastructure to triage infrastructure issues and drive them to resolution, and serve as the key point of contact to bridge the gap between data infrastructure and end customers. Design, build, and optimize data architecture & models to support business reporting and analytics needs. Understand evolving business requirements to optimize/update data pipelines in SQ.L. Monitor and optimize the performance of data systems, troubleshoot issues, and propose solutions for data-related problems. Design, develop, and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support our financial needs (45%) Build and deliver high-quality visualization and reporting solutions to support Finance business needs Design and create customized reports for all new financial reconciliation needs, catering to their specific needs Automate reporting for Finance using Python, Periscope, Tableau, Amplitude, and other Earnin in-house business intelligence tools and platforms. Interface with Finance, Engineering, and Analytics to understand data needs and deliver high quality data products (30%) Build clean data products to power automation focused on the finance domain and reconciliation. Get familiar with the finance domain at Earnin and identify opportunities for process automation. Take ownership of debt facility analytics and other core finance areas as needed. Develop data functional expertise and own data quality for assigned areas of responsibility. Create quality controls on the data feed to ensure high-quality data is delivered for the end product. Design, build, and launch new data extraction, transformation, and loading processes in production as needed. Implement data governance practices, including data security, privacy, and compliance measures. Deep analysis to uncover areas of opportunity and present recommendations that will help shape the strategy and operations of business stakeholders Create project-related documentation for requirements, design, processing methodologies, changes planned, and other relevant areas. Provide analytical support for financial needs, including annual audits, new product revenue reporting, and external lender inquiries. Be a data and functional expert at Earnin (10%) Stay up-to-date with industry trends and emerging technologies in the fields of business intelligence and data analytics. Be a data SME related to the finance domain. Identify and recommend BI and data tools that can be used within the company for increased productivity and scalability. WHAT WERE LOOKING FOR 4+ years of relevant work experience in Analytics, Business Intelligence, Data Science, anda a Bachelors or higher degree or equivalent industry experience Experience in custom ETL design, implementation, and maintenance. Experience with schema design and dimensional data modeling. Experience in writing complex SQL queries and Python Experience working with Snowflake / Databricks or similar distributed compute systems Experience with business intelligence tools such as Tableau, Power BI, or QlikView. years of working with relational databases (Redshift, PostgreSQL) and big data structures Experience with any cloud platform (Ex, AWS) and big data technology (Ex, Spark) Experience in collaborating with cross-functional teams Experience working with a finance team is preferred, but not required Ability to analyze data to identify deliverables, gaps, and inconsistencies. Excellent problem-solving and analytical skills #LI-Hybrid

About EarnIn As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks. We re fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We re growing fast and are excited to continue bringing world-class talent onboard to help shape the next chapter of our growth journey. POSITION SUMMARY EarnIn is undergoing transformative investments in machine learning products, algorithms, and platforms. We seek highly skilled and experienced ML engineers to lead our algorithmic marketing initiatives from our Bengaluru office in India. You will apply machine learning models, statistical techniques, experiment design, and data analysis to optimize marketing spend on user acquisition and retention, ensuring the most efficient use of resources. You will catalyze our healthy and growing business, creating first-of-a-kind success stories for marketing through machine learning. This position will be a hybrid role from our Bengaluru office, as part of our expanding site location, with 2 days a week spent in the office. EarnIn provides excellent benefits for our employees, including healthcare, internet/cell phone reimbursement, a learning and development stipend, and potential opportunities to travel to our Palo Alto HQ. Our salary ranges are determined by role, level, and location. WHAT YOULL DO Design, build, A/B test, and maintain machine learning and statistical models to optimize audience, channel, campaign, creative, and customer journey, improving ROI for user acquisition and lifecycle marketing. Continuously optimize the quality of our machine learning models for Marketing Mix Modeling (MMM), predicted Lifetime Value (LTV), incremental Lift estimation, and causal inference. Analyze large datasets to extract actionable insights and inform marketing decisions. Collaborate with multiple teams in the US and India. Communicate findings and recommendations to stakeholders clearly and concisely. Champion scientific rigor in data-driven decision-making. Stay up-to-date with the latest advancements in machine learning, statistical techniques, and marketing analytics to recommend newer business opportunities WHAT WERE LOOKING FOR Bachelors or Master s degree in Computer Science, Engineering, or a related field. 3+ years of industry machine learning experience and excellent software engineering skills. Familiarity with digital marketing concepts and metrics. Prior experience with Marketing Mix Modeling (MMM), predicted Lifetime Value (LTV), incremental Lift estimation, geo lift tests, and causal inference is a big plus. Expertise in the breadth of machine learning and statistical techniques such as tree-based models, deep learning techniques, and A/B testing. Strong programming skills in Python and familiarity with ML frameworks such as TensorFlow, PyTorch, XGBoost, and Scikit-Learn. Hands-on experience with SQL and data manipulation tools. Experience with ML cloud platforms such as AWS Sagemaker, Databricks, or GCP Vertex AI Strong analytical skills to evaluate business impact and performance metrics of ML implementations and drive continuous improvement Strong communication and collaboration skills. Passion for learning and staying updated with the latest machine learning industry trends. #LI-Hybrid

Drive strategic analyses that identify key growth opportunities for EarnIn across Product and Marketing Partner with the Product and Marketing teams to design and run experiments Upgrade EarnIn s experimentation stack by implementing tools such as Sequential Testing, Bayesian testing, and CUPED Partner with the Machine Learning Engineering team to design and build models that can customize our LCM experience Monitor & proactively surface/troubleshoot any problems across the key business metrics & drive resolution of these issues What We re Looking For: 5+ years experience in marketing analytics/product analytics/data science in a B2C role Strong understanding of various digital marketing channels (Meta, Google, email, push notification, SMS) Experience designing, running, and interpreting experiments. Expert skillset in SQL and experience with Python or R Practical knowledge of state-of-the-art experimentation tools such as Sequential Testing, Champion/Challenger, CUPED, etc. Practical knowledge of machine learning techniques Ability to extract insights from large data sets & seamlessly translate into actionable recommendations across the consumer journey Ability to establish and maintain excellent processes while allowing for creative thinking and flexibility in ambiguous situations Curiosity and passion for deeply understanding analytical problems and translating this to stakeholders Experience in Fintech is a bonu

About EarnIn As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks. We re fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We re growing fast and are excited to continue bringing world-class talent onboard to help shape the next chapter of our growth journey. Position Summary Join us in a high-impact role to drive growth at EarnIn. This function plays a critical role in how we use analytics to inform our business & product priorities, drive data-backed experiments, deliver value across the consumer lifecycle and measure performance for future optimizations. You will work closely with our product and engineering teams to establish end-to-end measurement & reporting, implement rigorous testing methodologies, and drive strategic analyses. What You ll Do: Drive strategic analyses that identify key opportunities to improve the core product experience for EarnIn s customers Partner with the Product and Engineering teams to design and run experiments Upgrade EarnIn s experimentation stack by implementing tools such as Sequential Testing, Bayesian testing, and CUPED Partner with the Machine Learning Engineering team to design and build models that form the core of EarnIn s core product Monitor & proactively surface/troubleshoot any problems across the key business metrics & drive resolution of these issues What We re Looking For: 7+ years experience in product analytics/data science in a B2C role Product sense and intuition to drive impact on the business and customer experience Experience designing, running, and interpreting experiments. Expert skillset in SQL and experience with Python or R Practical knowledge of state-of-the-art experimentation tools such as Sequential Testing, Champion/Challenger, CUPED, etc. Practical knowledge of machine learning techniques Ability to extract insights from large data sets & seamlessly translate into actionable recommendations across the consumer journey Ability to establish and maintain excellent processes while allowing for creative thinking and flexibility in ambiguous situations Curiosity and passion for deeply understanding analytical problems and translating this to stakeholders Experience in Fintech is a bonus #LI-Hybrid

Collaborate with Platform Engineers to manage and optimize Kubernetes clusters supporting production workloads. Develop and enhance automation frameworks and tooling using Python or Go to improve platform reliability and efficiency. Contribute to the development and maintenance of CI/CD pipelines, enabling faster, safer, and more scalable deployments. Participate in cloud infrastructure management on AWS, assisting with cost optimization, monitoring, and resource provisioning. Work on observability and monitoring solutions, helping to improve the visibility and reliability of our systems. Participate in infrastructure improvement projects, such as migration to new architectures, resilience improvements, and DR setups. Collaborate cross-functionally with application, data, and security teams to ensure platform stability and performance. Engage in knowledge-sharing and documentation to strengthen team-wide technical excellence.

Collaborate closely with other machine learning engineers and analysts to use and train state-of-the-art ML models for the product use cases assigned. Understand the key metrics needed for such model evaluations Do in-depth data analysis to uncover insights and share them with the partner Help in ensuring improvements in our current ML systems via model, data, or experimentation upgrades Gain hands-on experience with various technologies, including PyTorch, AWS, Kafka, data bricks, etc. WHAT WERE LOOKING FOR 1+ years of experience working in machine learning systems and an eagerness to create impact Bachelors, masters, or PhD in Computer Science, Information Technology, or a related field, or related equivalent experience Demonstrate a keen interest in machine learning systems and eagerness to create impact via state-of-the-art data capabilities. Strong understanding of statistical models, familiarity, and in-depth understanding of machine learning and deep learning algorithms, such as clustering and classification. Proficient in at least one programming language, with a familiarity with basic data structures and algorithms. Having experience with big data and familiarity with distributed computation frameworks, such as Hadoop, Spark, and Hive, is desired but not mandatory. Equipped with good verbal and written communication skills. Detail-oriented, with a meticulous approach to problem-solving and project execution Committed to taking ownership of projects, conducting thorough investigations, and driving initiatives to conclusion.

We are seeking a leader in Data Product Analytics to lead a team of 5+ talented analysts who drive data-informed decision-making across the organization. This leader will shape the analytics strategy, mentor and develop the team, and collaborate cross-functionally with Product, Engineering, Design, and Operations to translate business needs into actionable insights. The ideal candidate combines strategic thinking with a hands-on approach, comfortable diving into data when needed while also setting the broader vision for analytics excellence. This position will be hybrid from our Bengaluru office as part of our expanding site location. EarnIn provides excellent employee benefits, including healthcare, internet/cell phone reimbursement, a learning and development stipend, and opportunities to collaborate with and travel to our Mountain View, CA HQ. Our salary ranges are determined by role, level, and location. WHAT you'll DO Team Leadership Mentorship Hire, Lead, coach, and develop a high-performing team of data and product analysts. Foster a culture of curiosity, analytical rigor, and continuous learning. Define clear goals, priorities, and growth paths for the analytics team. Analytics Strategy Execution Partner with senior leadership to define the analytics vision and roadmap. Drive alignment on key metrics, experimentation frameworks, and reporting standards. Ensure high-quality, scalable, and reliable data models and dashboards. Hands-On Analysis Perform deep-dive analyses to uncover insights that inform product and business decisions. Build and maintain critical reports, dashboards, and experimentation tools when needed. Collaborate with data engineering and product teams to improve data pipelines and instrumentation. Cross-Functional Collaboration Partner with leaders in Product, Engineering, Marketing to guide decisions with data. Act as a thought partner to identify opportunities, measure success, and optimize product performance. Communicate complex analytical findings clearly and effectively to non-technical audiences and influence action. Be a bridge between team in the US and in India, ensuring clarity and right prioritization. WHAT we're LOOKING FOR 5+ years of experience in analytics, with at least 2 years in a people management role. Proven track record of leading high-performing data or product analytics teams. Strong technical skills in SQL, Python, data visualization (eg, Looker, Tableau, Mode), and experimentation. Excellent communication and storytelling skills. Ability to balance strategic thinking with hands-on execution. Preferred Qualifications Experience in fintech, consumer tech, or a data-driven product organization. Familiarity with modern data stacks (eg, databricks,Tableau). Experience influencing executive stakeholders and driving cross-functional initiatives.

As a fintech company where technology and scalability are key drivers of growth, our backend systems play a crucial role in powering business decisions and customer experiences. Building and maintaining high-performance backend services is essential to support our growing platform. To ensure success, we focus on designing robust architectures, optimizing system performance, and ensuring reliability through effective monitoring, logging, and alerting mechanisms.To support these efforts, we are hiring a Backend Software Engineer. This position will be based in Bengaluru, India as part of our expanding site location. This position will be hybrid from our Bengaluru office as part of our expanding site location (2 days a week in the office). EarnIn provides excellent employee benefits, including healthcare, internet/cell phone reimbursement, a learning and development stipend, and opportunities to collaborate with and travel to our Palo Alto HQ and Bangkok Site. Our salary ranges are determined by role, level, and location. WHAT YOULL DO Collaborate closely with senior backend engineers to design, build, and maintain scalable services and APIs. Gain hands-on experience in distributed systems, data pipelines, and event-driven architectures. Contribute to improving system reliability, performance, and monitoring. Write clean, testable, and efficient code while following best practices. Support integration with cloud platforms and services (e.g., AWS, Kafka, Databricks). Participate in code reviews, testing, and debugging of production issues. WHAT WERE LOOKING FOR 1+ years of experience working in machine learning systems and an eagerness to create impact Bachelors, masters, or PhD in Computer Science, Information Technology, or a related field, or related equivalent experience Strong foundation in data structures, algorithms, and object-oriented programming. Proficiency in at least one backend programming language (e.g., Java, Python, C#, Go, or Kotlin). Familiarity with databases (SQL or NoSQL) and basic concepts of distributed systems. Interest in cloud computing and backend infrastructure; exposure to tools like AWS, Kafka, Spark, or Hadoop is a plus, but not required. Good problem-solving skills with attention to detail. Strong verbal and written communication abilities. A self-starter mindset with ownership of tasks and eagerness to learn in a fast-paced environment.