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In this role, you'll design and manage backend systems to connect external resources, ensuring data accessibility for new use cases, while debugging and building features based on customer feedback.

The Software Engineer will drive the architectural design of core backend services, ensuring efficiency and security. Responsibilities include managing production services and addressing performance bottlenecks while collaborating across teams.

As a founding member of the Observability team, you'll build and promote observability solutions to enhance product performance and reliability across the company.

The IT Engineer will design and build internal tools, automate processes, improve operational efficiency, and mentor team members while enhancing Retool's internal systems.

Lead customer engagements to design and implement full-stack Retool solutions, integrate enterprise systems, enable partners, scope and sell professional services, and guide high-visibility projects while building service offerings and operational processes.

As a Data Scientist at Retool, you will analyze customer behavior and product usage to provide insights that drive business decisions. You'll work with various teams to frame business questions into analytical strategies, identify customer friction, and aid in data-driven decision-making.

The Software Engineer will enhance and build features for Retool's platform, focusing on improving user experience and scalability, while participating in team collaboration and decision-making.

Own full-cycle technical recruiting for engineering roles: source and build pipelines, partner with hiring managers, use metrics to assess pipeline health, advise on hiring decisions, create strong candidate experiences, and contribute to building a diverse, high-performing team at scale.

As a Product Manager, you will define and scale automation capabilities at Retool, driving product evolution and AI integration from concept to customer adoption.

Lead end-to-end UX research initiatives for an enterprise SaaS platform, defining research priorities, running qualitative and quantitative studies (usability tests, interviews, in-product surveys), synthesizing insights, and presenting findings to product, design, and executive stakeholders. Shape research practice, collaborate cross-functionally, and influence product strategy and AI-powered experiences across the organization.