Top Tech Jobs & Startup Jobs in Tucson, AZ

The role involves managing HR operations, including HRIS administration, onboarding, performance management, and leveraging AI tools for efficiency. It requires strong data integrity and communication skills, along with hands-on experience in a tech or SaaS environment.

The Core Blockchain Engineer will design, build, and scale Ethereum services, improving EVM Node solutions and enhancing tooling for maintainability and reliability.

As an AI Engineer, you will develop systems for structured content generation and editing, improve quality and reliability of AI tools, and collaborate with engineering teams to enhance creative workflows.

As the Senior Product Manager for OnePay's credit card, you will own the product roadmap, drive product decisions using data and AI, and collaborate across teams. You'll focus on enhancing product features and customer experience with a proactive, builder mindset.

The Enterprise Account Executive will manage sales cycles, build relationships with enterprise clients, and achieve revenue goals while promoting BigPanda's solutions.

The Quantitative Financial Specialist will research and develop trading strategies, implement models, analyze risks, and build systems for financial trading.

As a Staff AI Engineer, you will develop backend services, integrate APIs, and optimize existing systems within a complex AI platform environment, collaborating with cross-functional teams and ensuring high reliability and performance.

The Sr Coordinator, Client Services is responsible for managing client relationships, facilitating IRB reviews, and ensuring timely communication and documentation for clinical research studies.

The role involves designing and maintaining automation solutions, developing applications, optimizing SQL queries, scripting in PowerShell, and supporting CI/CD processes while leveraging an AI-first approach.

Design and optimize AWS-based data architectures focusing on healthcare and enterprise analytics, bridging operational and analytical needs while incorporating AI tools and DataOps practices.