Top Remote Senior Level Jobs in Tucson, AZ

Leads mechanical architecture, design, simulation, verification, validation, and risk management for complex medical devices from conception through launch. Performs tolerance analysis, FEA, kinematic modeling, prototyping, and design-for-manufacturing optimization. Ensures compliance with medical device quality systems and regulations while collaborating with manufacturing, quality, and supply chain teams. Mentors junior engineers, manages multiple projects, and prepares technical documentation and presentations.

Own strategic enterprise accounts and drive complex, consultative sales of manufacturing solutions. Build account plans, develop multi-stakeholder opportunities, translate technical manufacturing needs into business value, coordinate cross-functional deal execution, manage negotiations and enterprise agreements, expand customer relationships, and maintain accurate pipeline forecasts. The role targets MedTech, aerospace, robotics, energy, mobility, and other industrial customers, requiring frequent travel and technical manufacturing knowledge.

Owns operational capabilities for FedRAMP-regulated cloud environments, including monitoring, alerting, backup and recovery, continuous compliance evidence, incident response, and automation. The role leads major incident command, improves runbooks and operational standards, supports client-facing service delivery, partners on transitions to managed operations, and mentors engineers. Requires deep cloud operations, observability, infrastructure-as-code, resilience engineering, security-control frameworks, and senior escalation experience.

Lead product marketing and go-to-market growth for ZeroDev, Offchain’s smart account and wallet infrastructure. Responsibilities include positioning, launches, content, SEO, lifecycle campaigns, HubSpot administration, lead management, funnel analytics, sales enablement, partner marketing, paid campaigns, budgeting, and pipeline tracking. The role requires close collaboration with Product, Engineering, Legal, Sales, and ecosystem partners while connecting marketing activities to revenue.

Designs and modifies blow mold, injection molding, robotic, automation, and plastic welding tooling. Manages tooling procurement, acquisition, replacement, and improvement projects. Investigates tooling reliability issues, leads root cause analysis and corrective actions, conducts condition assessments, develops maintenance procedures, and supports troubleshooting and repair planning. Serves as a technical expert in FMEA and RFMEA activities.

Develops and secures new OEM and industrial customers for manufactured components, including castings, forgings, machined parts, polymers, and molded products. Manages the full business development cycle from prospecting and RFQs through negotiation, customer award, and production launch. Builds recurring production opportunities, interprets technical requirements, collaborates with engineering and manufacturing teams, maintains CRM pipelines, and travels approximately 50% to meet customers and generate new business.

Designs and maintains scalable data models, semantic layers, ETL/ELT workflows, data-quality frameworks, and governed analytics products for commercial operations. Owns data solutions from requirements through deployment, monitoring, documentation, and support. Partners with technical and business stakeholders to deliver trusted reporting, dashboards, scorecards, productivity measurements, and AI-enabled decision support.

Advise product, engineering, marketing, and partner teams on commercial terms, privacy, AI governance, cybersecurity, regulatory compliance, and data protection. Draft and negotiate resale, referral, distribution, technology partner, cloud marketplace, and services agreements. Monitor emerging regulations, assess legal and ethical risks, and support commercial strategy, product launches, partner programs, and public-sector routes to market.

Build and operate production-grade, cloud-native AI applications across the full stack. Responsibilities include integrating and optimizing AI models, developing evaluation and monitoring pipelines, operating reliable production systems, collaborating with stakeholders, leading design reviews, mentoring engineers, and participating in on-call rotations. The role supports proof-of-concepts, MVPs, and long-term product development while applying MLOps, LLMOps, DevOps, security, testing, and SRE practices.

Build and operate enterprise AI infrastructure for security teams, including model gateways, agent workflows, retrieval systems, evaluation, observability, and security guardrails. Drive adoption across detection, incident response, threat intelligence, vulnerability management, GRC, and security engineering. Develop production AI applications, establish governance and standards, measure impact, teach teams, and lead technical change through influence as a senior individual contributor.