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The Product Manager will lead the PayBoost product's end-to-end development, focusing on strategy, implementation, user experience enhancement, and success metrics. Responsibilities include collaborating with cross-functional teams, conducting customer research, and driving projects to optimize tax solutions for users.
Lead the platform engineering function focusing on system stability, scalability, and cloud infrastructure management. You'll evaluate bottlenecks, enhance observability, implement software reliability programs, and build internal productivity tools while prioritizing engineering roadmaps to support growth.
The Staff ML Engineer will design and implement machine learning infrastructure and models to support Grid's financial products. Responsibilities include architecture and design of machine learning strategies, continuous delivery of production-level software, and managing ML research infrastructure, while collaborating closely with data scientists and other teams.
The Backend Software Engineer will build and scale user-facing products by developing backend systems, implementing business logic, and managing API integrations. Responsibilities include debugging complex systems, deploying iterative updates based on data insights, and contributing to overall product performance using data analysis tools.
As a Staff Data Scientist, you'll perform data research and analysis, develop and validate models, and collaborate with data engineers and product managers at Grid. You'll work on fraud detection and risk underwriting using large datasets and contribute to building a robust data science practice.
As a Backend Software Engineer at Grid, you will design, develop, and operate critical financial systems, manage payment integrations, automate ledger reconciliation, and ensure best practices in DevOps and FinOps, all while collaborating with fellow engineers to improve customer experience.
The Senior Software Engineer will develop backend solutions for the PayBoost product, focusing on payroll data acquisition, tax calculations, and API integration. The role requires collaboration with product and engineering teams to enhance user experience and ensure efficient data handling.
The Financial Operations Manager will drive product and operational decision-making using analytical and technical skills. Responsibilities include monitoring financial metrics, analyzing trends, and collaborating across engineering, product, and operations teams to enhance customer experience.