Top Remote Jobs in Tucson, AZ

Owns Nebius’s AI infrastructure ecosystem strategy across agentic systems, managed inference, IaaS, and data platforms. The role identifies and engages strategic AI companies, founders, investors, and partnership targets; prototypes technically sound integrations; develops reference architectures and proofs of concept; and translates ecosystem insights into product capabilities, partnership, acquisition, and investment decisions. The director also helps scale solutions with partners and field teams while serving as the external ecosystem voice in platform planning.

Leads digital performance measurement, analytics, reporting, conversion optimization, experimentation, attribution, and customer journey analysis across global digital platforms. Builds executive dashboards, identifies experience and funnel improvements, establishes KPI and governance frameworks, and translates complex data into business recommendations. Partners with Marketing, Product, UX, Technology, and Analytics teams while managing and mentoring Marketing Analysts.

Investigates and resolves executive-level customer escalations across written, social media, regulatory, and legal channels. The role manages multiple cases, analyzes risk, proposes settlements, drafts correspondence, tracks escalation data, produces reports, and communicates with internal and external stakeholders. It also identifies process improvements and supports customer experience initiatives. An ACA license must be acquired and maintained, and the schedule includes a mandatory Saturday shift after training.

Supervise and develop an executive escalation and customer response team. Establish escalation standards, monitor contact center performance, track productivity metrics, create BI reports, coach employees, manage performance plans, coordinate with stakeholders, support implementations, and recommend process improvements. The role also ensures policies, documentation, systems, training, employee engagement, and customer satisfaction objectives are maintained.

Develop predictive machine learning models and generative AI applications using Azure, Python, pandas, and scikit-learn. Build and deploy production GenAI solutions, including RAG, hybrid search, evaluations, multi-agent systems, and user interfaces. Collaborate on dataset design, statistical modeling, process-control integration, and full-stack application development. Present findings to nontechnical audiences while addressing business problems across research, finance, manufacturing, legal, and environmental safety functions.

Designs the technical foundation for Dave’s AI Agent Factory, including agent architecture, MCP servers, governed data access, semantic-layer integrations, evaluation frameworks, deployment standards, observability, authentication, authorization, auditability, and PII protection. The role establishes scalable AI engineering standards and reusable infrastructure while partnering with Data, Engineering, Security, and Product teams to enable safe, reliable company-wide AI adoption.

Lead large-scale, cross-functional technical programs across product, engineering, operations, data, risk, and compliance. Define roadmaps, coordinate multiple squads and partners, drive system migrations and automation, manage vendors and financial partners, strengthen Agile and CI/CD practices, and communicate program health to senior leadership. Mentor TPMs and improve delivery discipline to increase scalability, reliability, and speed of member-facing financial products.

Leads qualitative and quantitative market research to uncover customer, market, competitive, and healthcare insights. Designs and manages studies, analyzes data using statistical and AI-assisted tools, develops reports and dashboards, presents recommendations, maintains research quality, and coordinates external partners. Collaborates with product, engineering, sales, marketing, and customer success teams to influence product strategy, growth, innovation, and customer experience initiatives.

Leads enterprise sales engineering for public-sector and Southeast customers, manages and develops a team of sales engineers, supports technical evaluations and account strategies, hires staff, tracks sales-performance metrics, creates technical collateral, communicates customer requirements to product teams, and manages budgets. The role requires extensive enterprise sales engineering experience, expertise in containers, cloud platforms, and security, plus familiarity with MEDDPICC or Command of the Message.

Leads and mentors a BDR team responsible for outbound pipeline generation. Responsibilities include hiring and onboarding, coaching, KPI tracking, forecasting, funnel management, and improving prospecting, qualification, messaging, and BDR-to-AE handoffs. The role collaborates closely with Marketing, Sales, Product, Demand Generation, and Recruiting to optimize conversion rates and achieve pipeline targets across the APJ region.

Field-based Account Manager responsible for achieving sales targets across assigned Dallas territory, managing distributor relationships, supporting marketing and training programs, tracking rebates and contests, and developing annual growth plans. The role coordinates objectives with distributors, communicates marketing initiatives, manages pricing programs, and conducts quarterly business reviews. Daily local travel and occasional overnight travel are required.

Develop and maintain high-volume, mission-critical enterprise web applications using C#/.NET, ASP.NET MVC, AngularJS, and SQL Server. Responsibilities include full lifecycle development, architecture and design participation, troubleshooting, performance and scalability improvements, AI-assisted workflow development, Agile collaboration, technical mentoring, and supporting multi-tier systems.

Build and improve Replicant’s AI-native platform, including site reliability, CI/CD, developer tooling, observability, incident management, cloud infrastructure, and autonomous-agent harnesses. Own production infrastructure reliability at scale, reduce operational toil, improve deployment workflows, participate in on-call rotation, and shape platform engineering patterns. The role uses TypeScript/Node.js, Python, Terraform, Kubernetes, Helm, GCP, and modern monitoring tools.

Lead Replicant’s product design practice while remaining approximately 80% hands-on. Own the end-to-end enterprise customer experience, information architecture, design-system governance, research, prototyping, validation, and integration of product and conversation design. Influence cross-functional teams, establish design standards, guide hiring and development, and design AI and conversational experiences with strong failure recovery, trust, and usability.

Lead and mentor the embedded software team developing safety-critical vehicle firmware. Set technical direction, architecture, priorities, and delivery milestones while remaining hands-on with real-time systems, fault handling, diagnostics, testing, and hardware bring-up. Partner cross-functionally through integration, validation, and production deployment, and establish reliable practices for code review, CI, release readiness, debugging, and safe multi-device deployment.