Top Tech Jobs & Startup Jobs in Tucson, AZ

The Principal Field Applications Engineer will support customers with optical connectivity products for AI infrastructure, identify customer requirements, and ensure the integration and deployment of technology at scale, while collaborating with engineering and cross-functional teams.

This role involves designing, developing, and testing features for internal and client-facing projects using a variety of technologies. Responsibilities include writing clean code in C# and JavaScript, ensuring application performance, and adapting to new technologies. The position requires problem-solving abilities and a collaborative work ethic in an agile environment.

ConsumerAffairs is looking for top talent to join their team, emphasizing exceptional customer experience, accountability, teamwork, and a commitment to results. The role may require occasional travel and focuses on continuous improvement and collaboration to solve issues.

The Martech Solutions Architect is a client-facing technical marketer responsible for designing, implementing, and maintaining marketing technology solutions. This role involves collaborating with clients to create strategies, automate processes, and integrate data for effective marketing campaigns. Key responsibilities include leading client engagements, analyzing data, troubleshooting issues, and ensuring project delivery meets client expectations.

As the Senior Vice President (SVP) of Product at Hyperproof, you will lead product innovation, market analysis, product strategy execution, data-driven decision making, and customer-centric initiatives to drive business success and enhance customer experience.

As a Global Alpha Researcher, you will develop market-neutral trading signals, implement academic research, create algorithms for combining Alphas, and apply machine learning techniques for alpha discovery and portfolio construction, while working remotely and flexibly.

As a Principal Data Scientist, you will lead the development of machine learning models for hotel demand and pricing predictions, collaborating with engineering and product teams to optimize revenue and present findings to senior management.