Top Remote Senior Level Jobs in Tucson, AZ

Drive enterprise sales by sourcing, developing, and closing partnerships with large health systems. Own full sales cycles, influence executive and multi-disciplinary stakeholders, build account and territory strategies, forecast pipeline, and partner cross-functionally to ensure successful implementations. Regular field travel (up to 75%) and executive presentations required.

Own design, implementation, and optimization of AI-powered support workflows across chat, voice, and email. Automate repetitive tasks, run pilots, monitor KPIs (CSAT, containment, deflection, productivity), establish quality standards, and partner cross-functionally with Product, Engineering, CX, Analytics, and external AI vendors to scale solutions.

Partner with enterprise financial firms to design and implement scalable practice management programs. Lead executive engagement, success roadmapping, content and curriculum development, and live facilitation. Drive adoption through program design, data-driven recommendations, and feedback to Product. Travel regularly to client sites and industry events to deliver sessions and represent Zocks as a subject-matter expert.

Lead enterprise practice management engagements for large RIAs, broker-dealers, banks, and insurers. Design rollout strategies, build scalable enablement programs and content, run discovery workshops, analyze data to recommend operational improvements, and deliver in-person/virtual facilitation and industry presentations. Act as enterprise client voice to product and travel frequently for client meetings and conferences.

Manage end-to-end California workers' compensation claims, including complex/high-exposure files. Conduct investigations, determine compensability, set reserves, manage medical and indemnity benefits, control litigation and legal costs, negotiate settlements, and provide excellent service to agents and insureds while mentoring junior adjusters and improving claims processes.

Lead operational risk management for Workplace Solutions globally, assessing risks for new initiatives, overseeing risk assessments and testing, reviewing loss events, supporting regulatory deliverables, engaging with horizontal risk programs, preparing materials for governance forums, and promoting a strong operational risk culture across regions and stakeholder groups.

Lead enterprise sales for JP Morgan Chase's Workplace equity compensation solution targeting pre-IPO companies. Build and close a pipeline, cultivate executive relationships (finance/HR), collaborate with internal banking, legal, product, and marketing teams, negotiate deals, and analyze sales performance to drive market expansion.

Lead applied AI/ML initiatives, design and deliver production-grade software, develop secure high-quality code, troubleshoot, automate remediation, evaluate vendor architectures, champion best practices across engineering, and drive adoption of AI/ML, NLP, LLMs and streaming technologies.

The VP of Agentic Systems will lead data science research and development, focusing on AI systems to enhance cybersecurity operations, requiring strong leadership and collaboration across technical teams.

Lead global Customer Success analytics strategy, architect data and health/adoption models, oversee data pipelines, deliver executive-level storytelling, mentor an analytics team, and drive cross-functional KPI alignment and self-serve BI adoption.

The role focuses on implementing cost optimization solutions for cloud infrastructure through automation and collaboration across teams, enhancing FinOps practices.

Manage large-scale software and consulting projects end-to-end for enterprise customers. Coordinate cross-functional teams, executive stakeholder communications, escalations, delivery schedules, scope, risks, and revenue recognition while improving Professional Services PM processes, tools, metrics, and templates.

Lead technical engagements to install, migrate, configure, and onboard customers to GitLab. Create SOWs, migration plans, training, documentation, and automation; communicate risks/status; collaborate with Product and Engineering; support quoting and process improvements. Travel approximately 20%.

Lead and operate as a player-coach for a global Field CTO team, engaging on strategic accounts, shaping the operating model, coaching senior technical leaders, delivering thought leadership, and converting field insights into product, sales, and marketing inputs to drive DevSecOps and AI-enabled software development adoption.

Design, build, and maintain high-throughput data ingestion and processing pipelines; integrate AI-powered infrastructure; implement and support complex computing algorithms and distributed services; own systems end-to-end including architecture, observability, reliability, and operational support; lead architectural initiatives and reduce system complexity while maintaining performance on large-scale real-time data.

Own production health and performance for AI-enabled claims products across Disability & Leave. Monitor SLAs and UX, lead incident triage and RCA, prioritize fixes with engineering and operations, drive systemic improvements, and oversee FINEOS/Catalyst integration and optimization.

Serve as primary post-sales contact to drive onboarding, adoption, retention, and expansion for industrial cybersecurity customers. Build relationships, define success metrics, manage churn risk, monitor account health, execute success plans, maintain SFDC records, and collaborate with sales, TAMs, services, intelligence, and support.

Lead and manage an adversary hunting team focused on OT threat groups. Perform hands-on hunting using Synapse and Storm Query Language, produce WorldView reports and detection artifacts, collaborate with intelligence and malware analysis, refine KPIs, support incident response surges, recruit and develop staff, and represent the team externally.

Hunt, identify, and analyze adversary tools, malware, and tradecraft targeting ICS/OT. Develop and maintain analysis tools and scripts, contribute to threat assessments and customer advisories, leverage intel and network analysis tools, recommend automation and telemetry improvements, and support incident response and external communications.

Lead intake, roadmap, and governance for an AI automation/platform team. Harden and ship business-built AI apps to production with secure GCP platforms, define acceptance criteria and responsible-AI gates, manage vendor buy-vs-build decisions, drive adoption, measure outcomes, and manage AI economics and stakeholder communication.