Top Tech Jobs & Startup Jobs in Tucson, AZ

The Senior Sales Manager at PPRO is responsible for closing new Payment Service Provider contracts, managing the full sales cycle, achieving business targets, and collaborating with various teams to onboard new clients. The role involves building relationships and trust with customers while leveraging analytics for strategic decisions.

The Forward Deployed Engineer will engage with customers to deploy, customize, and maintain hardware and software solutions. Key responsibilities include technical support, optimizing software installations, troubleshooting issues, creating documentation, and conducting customer training.

As a Fullstack Developer, you will enhance the core product through continuous innovation and contribute to user skill development by collaborating within a small engineering team, focusing on delivering high-quality code and addressing startup challenges.

The General Manager of signNow will be responsible for driving strategy and growth for the product, managing the P&L, collaborating with the leadership team, and overseeing go-to-market strategies. This role focuses on financial results, customer acquisition, and fostering a performance-driven cross-functional team.

Walnut is a fintech startup focused on increasing access to affordable healthcare by offering a point-of-sale lending platform that allows patients to make healthcare payments manageable through small monthly installments, with no fees.

BigID seeks individuals interested in joining its talent network, inviting potential candidates to share their background and how they can contribute to the company. The environment focuses on innovation, diversity, and teamwork, highlighting benefits such as equity participation and flexible work arrangements.

The Senior Data Systems Engineer will work with clients to develop innovative technology plans, focusing on data modeling, system architectures, and reporting requirements. Responsibilities include ETL development, report creation, and designing analytics platforms, while applying machine learning and statistical analysis expertise to address operational challenges.