Top Remote Jobs in Tucson, AZ

Drive market development for Observability across the Americas: run demos, lead technical pre-sales and proof-of-value engagements, secure OEM/embed partnerships, translate customer insights into prioritized product roadmap items, and represent the product externally through events and thought leadership.

Lead and grow engineering teams for Mews' Front of House products, partnering with Product, Design, and Data to deliver guest recognition, personalization, automation, and connected guest journeys. Set technical direction, improve engineering excellence and operational health, drive cross-tribe collaboration, coach leaders, and translate strategy into measurable business outcomes like increased guest engagement and reduced time-to-serve.

As a Customer Support Analyst, you'll assist clients with technical issues, provide support, and improve usage of Mews solutions, ensuring customer satisfaction in a global environment.

Design conceptual, logical, and physical data models and data pipelines to enable analytics and BI. Collaborate with business stakeholders, data engineers, and data scientists to assess data quality, optimize batch and real-time processes, and promote data architecture best practices and governance.

Develop sales strategies to engage brokers and clients, maintain relationships, coordinate with team members, and meet revenue goals.

Manage day-to-day accounting for assigned clients including month-end close, reconciliations, AP, cash management, payroll support, financial reporting, and client communication. Use Restaurant365 and cloud accounting tools to ensure accurate, timely statements while collaborating with internal teams and mentoring junior staff.

Lead HR digital transformation efforts using SAP SuccessFactors and SAP GROW: assess current HR models, design future-state processes, facilitate Fit-to-Standard workshops, drive change management, align HR strategy with technology, and support program governance and adoption.

Establish and run PMO functions for SAP GROW/SAP S/4HANA Cloud Public Edition transformations: governance, controls, reporting, resource and financial management, risk/issue tracking, executive communications, and cross-workstream coordination to ensure delivery excellence across multiple ERP projects.

Lead design and implementation of SAP SuccessFactors Recruiting (RCM/RMK) solutions, run fit-to-standard workshops, configure recruiting processes, support integrations and data migration, develop test scripts and training, and provide go‑live and hypercare support to improve hiring efficiency and candidate experience.

The Sales Manager will manage relationships with independent retailers, drive revenue growth, handle account lifecycle, and optimize retail strategies.

The Legal Editor will edit AI-assisted legal content, optimize marketing materials, and collaborate with teams, maintaining quality and SEO standards.

Own product marketing for a technical AI-infrastructure startup: positioning, messaging, launches, packaging, customer stories, competitive differentiation, sales enablement, and market feedback to shape product roadmap and adoption among AI-native teams and enterprises.

Lead modernization of dtn.com as a senior full-stack engineer—improving architecture, performance, accessibility, and integrations. Build responsive front-end experiences and back-end APIs, integrate CMS/CRM/analytics, optimize conversion and SEO, and establish engineering best practices to support marketing, content, and demand-generation goals.

High-volume full-cycle recruiter managing MSP/VMS platforms to source, screen, interview, and place light-industrial and manufacturing candidates. Maintain ATS and VMS accuracy, run job board and social outreach campaigns, partner with hiring managers, ensure onboarding and compliance (background checks, drug screens, E-Verify, I-9), and meet KPIs for time-to-fill, submittal-to-hire, attendance, and retention.

Lead complex audits of AI, generative AI, and data-driven systems. Design audit methodologies, execute testing (including Python/SQL analytics), assess AI governance, controls, and third-party oversight, communicate findings to senior leaders, and coach audit teams to advance AI audit capabilities and automation.