Top Tech Jobs & Startup Jobs in Tucson, AZ

Design and manage product through wireframes to high-fidelity designs. Engage with customers to identify and address their needs while running product sprints.

The Clinical Scientist collaborates with Medical Directors to develop medical plans, reviews data for trends, manages project scopes, and ensures adherence to clinical protocols while participating in audits and meetings to improve study integrity.

The Senior Data Scientist will design ML-based entity resolution systems, build and refine NLP and ML models, and translate model results into business impact while supporting data strategy and improving data pipelines.

The Premium Audit Senior Manager oversees premium audit operations, ensuring compliance, quality assurance, and customer experience while leading a team and managing external vendors.

As Senior Director of Strategic Initiatives, you will shape strategies, drive partnerships, manage products, and lead execution across various departments to grow MoonPay Institutional.

The AWS DevOps Engineer will build and maintain AWS infrastructure, CI/CD pipelines, collaborate with teams, and implement automation tools while ensuring reliability and security.

The role involves partnering with executives to drive revenue transformation, mapping processes to AI-driven workflows, and managing customer adoption and value realization initiatives.

The Director of Engineering will lead technical projects, manage the engineering team, architect AWS solutions, and ensure system reliability and compliance while driving growth and innovation.

The Lead Product Manager at Nitrogen will oversee complex financial planning products, driving the product lifecycle from vision to execution while ensuring excellent user experiences and maintaining domain expertise in tax and insurance planning.

Develop and implement full stack features for a healthcare platform, focusing on both frontend (React) and backend (Node.js) development. Responsible for performance optimization, API creation, testing, and collaboration with data engineering teams.