EarnIn

4 Jobs

554 Employees

About the Company

EarnIn lets you access your money as you earn it — not days or weeks later. We’re reimagining the way money moves to make financial momentum accessible to everyone. That starts with payday every day and builds with tools like credit monitoring, automated savings accounts, and low-balance protection. All with no interest, no credit checks, and no mandatory fees. So our customers have as many options as possible to save and spend on their terms. EarnIn’s pioneering Earned Wage Access app is backed by world-class partners like A16Z, Matrix Partners, and DST. Since our founding in 2013, 3.8 million customers have given it over 380,000 5-star reviews for helping them access over $15 billion in earnings. That means: - 49% can now cover an unexpected expense of $400 since using EarnIn - 73% can budget more effectively with EarnIn - 66% have been able to pay bills on time with EarnIn’s help We’re proud of that impact. Because no one should feel stuck — held back from their ambitions, their life — simply because they can’t access the money they’ve already earned. That’s why EarnIn is here, to help people move forward with the lives they want today and the goals they have for tomorrow. Join us. EarnIn is a financial technology company, not a bank. The Deposit Account, Secured Account, and EarnIn Card are issued by Evolve Bank & Trust, Member FDIC. The EarnIn Card is issued pursuant to a license from Visa USA Inc.

Listed Jobs

Company Name: EarnIn
Job Title: Senior Product Manager
Job Description: **Job Title:** Senior Product Manager **Role Summary:** Lead the product strategy, development, and scaling of the Early Pay product line, ensuring it meets market needs for early wage access while driving financial and customer outcomes. **Expectations:** - Own end‑to‑end product lifecycle from vision to launch and continuous improvement. - Demonstrate measurable impact on adoption, usage, and revenue metrics. - Communicate progress and results to executive leadership and cross‑functional teams. **Key Responsibilities:** - Define and communicate product vision, roadmap, and success metrics. - Lead multidisciplinary teams (engineering, design, analytics) to deliver product increments rapidly. - Prioritize features based on user research, data analysis, and business goals. - Own business area financial performance and key metrics. - Foster a fast‑paced, iterative environment that supports experimentation and learning. - Represent user needs and deliver delightful, innovative experiences. - Engage with stakeholders across the organization to align product initiatives. **Required Skills:** - 4+ years product management in consumer technology or fintech. - Strong technical acumen with familiarity in payroll or financial‑services technology. - Data‑driven decision making and proficiency interpreting analytics. - Proven product design sensibility with delivered, user‑centric products. - Excellent communication and stakeholder management, especially with executives. - Deep empathy for users, ability to translate insights into design and features. - Creative problem‑solving, willing to challenge conventions. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Engineering, Business, Finance, or related field. - Advanced certifications (e.g., Certified Product Manager, Agile PM, or equivalent) preferred but not mandatory.

Mountain view, United states

Hybrid

Senior

01-01-2026

Company Name: EarnIn
Job Title: Head of Machine Learning
Job Description: **Job Title:** Head of Machine Learning **Role Summary:** Strategic leader responsible for defining and executing the machine‑learning roadmap, scaling ML systems from research to production, and delivering high‑impact, reliable models that drive business outcomes in a fast‑moving fintech environment. **Expectations:** - Build and mentor high‑performing ML teams across multiple functions. - Ensure ML models meet performance, reliability, and maintainability standards. - Align ML initiatives with company objectives and measurable user‑engagement metrics. - Foster a culture of scientific rigor and pragmatic engineering. **Key Responsibilities:** - Define, own, and communicate the ML roadmap in partnership with product, data engineering, and marketing. - Lead design, development, and optimization of ML models and pipelines at scale. - Oversee end‑to‑end model lifecycle: research, development, testing, deployment, monitoring, and iteration. - Quantify and report the impact of features and models on key business metrics. - Coordinate cross‑functional releases, ensuring timely delivery from concept to production. - Establish best practices for ML engineering, data governance, and model governance. - Recruit, develop, and retain top ML talent; manage performance and career growth. **Required Skills:** - Deep expertise in machine‑learning algorithms and their practical application. - Proven experience deploying and operating production ML systems in a startup or high‑growth setting. - Advanced programming proficiency in Python and strong SQL skills. - Strong understanding of ML infrastructure (e.g., CI/CD, containerization, cloud platforms). - Excellent oral and written communication; ability to translate technical concepts for non‑technical stakeholders. - Leadership and team‑building abilities; track record of hiring and scaling technical teams. **Required Education & Certifications:** - MS or Ph.D. in Computer Science, Statistics, or a related technical field, **or** equivalent professional experience. - 10+ years of engineering or scientific experience, with at least 7 years in leadership/management roles.

Mountain view, United states

On site

Senior

12-01-2026

Company Name: EarnIn
Job Title: Sr. Staff ML Platform Engineer (TLM)
Job Description: **Job Title** Sr. Staff ML Platform Engineer (TLM) **Role Summary** Lead the design, deployment, and operation of a scalable machine‑learning platform that supports experimentation, training, and production workflows. Drive architectural direction, mentor a high‑performing ML engineering team, and champion automation and reliability to enable rapid, reliable delivery of data‑driven products. **Expectations** - Deliver a robust, cost‑efficient ML stack that meets business and regulatory needs. - Demonstrate strong technical leadership while fostering a culture of continuous improvement. - Collaborate cross‑functionally with data science, product, and infrastructure teams to align platform capabilities with product roadmaps. - Maintain high standards of quality, security, and operational excellence across the ML lifecycle. **Key Responsibilities** - Architect and evolve end‑to‑end ML platform components (experimentation, model registry, serving, monitoring). - Mentor and guide a team of ML platform engineers, providing technical direction and career development. - Optimize platform performance for scalability, reliability, and cost, balancing developer experience with operational constraints. - Evaluate and adopt emerging tools and technologies to keep the platform competitive. - Implement and enforce best practices in CI/CD, model versioning, reproducibility, and monitoring. - Lead initiatives that drive innovation, such as new tooling, automation, and process improvements. **Required Skills** - 8+ years of industry experience in machine learning and software engineering. - Advanced proficiency in Python and familiarity with TensorFlow or PyTorch. - Hands‑on experience with cloud ML services (AWS SageMaker, GCP Vertex AI, or Databricks). - Strong background in data pipelines, workflow orchestration, and model deployment pipelines. - Proven ability to design scalable, reliable systems and mentor engineering teams. - Excellent communication, collaboration, and stakeholder‑management skills. - Passion for staying current with ML platform trends and emerging technologies. **Required Education & Certifications** - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. - Relevant certifications in cloud platforms or ML engineering (e.g., AWS Certified Machine Learning – Specialty, GCP Professional ML Engineer) are a plus but not mandatory.

Mountain view, United states

Hybrid

Senior

02-02-2026

Company Name: EarnIn
Job Title: Senior Software Engineer
Job Description: **Job Title** Senior Software Engineer **Role Summary** Back‑end developer responsible for designing, implementing, and maintaining high‑performance microservices that support real‑time financial services. Leads feature development, enforces code quality, and collaborates cross‑functionally with product, data science, and design teams. **Expectations** - 4+ years of software engineering experience focused on backend services. - Strong proficiency in a JVM language (Java, Kotlin, or Scala). - Deep understanding of event‑driven architecture, message queues, and cloud‑native deployment patterns. - Ability to translate complex requirements into scalable, maintainable solutions. **Key Responsibilities** - Design, code, and ship new features and APIs (REST & gRPC). - Build and maintain automated test suites (unit, integration, functional). - Develop and publish microservice integrations, using event streams (Kafka, SNS/SQS, Kinesis). - Mentor peers and conduct code, design, and architecture reviews. - Debug and resolve production incidents across distributed systems. - Collaborate with product, data, design, and analytics teams to define requirements and deliver value. **Required Skills** - • JVM languages (Java, Kotlin, Scala) with Spring/Spring Boot framework. - • SQL databases (PostgreSQL/MySQL/Oracle) and familiarity with NoSQL. - • Cloud platforms: AWS (preferred) with experience in EC2, Lambda, RDS, SQS, SNS, Kinesis. - • Messaging & streaming: Kafka, AWS SNS/SQS, AWS Kinesis. - • CI/CD tools (Jenkins, GitHub Actions, GitLab CI). - • Container orchestration (Kubernetes) and microservices architecture. - • Automated testing (JUnit, TestNG, Mockito, integration testing). - • Strong communication and collaboration skills. **Required Education & Certifications** - Bachelor’s, Master’s, or PhD in Computer Science, Computer Engineering, or related technical field, or equivalent industry experience. - No mandatory certifications required.