Top Remote Jobs in Tucson, AZ

Lead product and UX strategy for Aha!, driving product vision, discovery, and AI-enabled product development. Build and coach high-performing PM and UX teams, partner with executives and cross-functional leaders to deliver revenue, retention, and customer value across B2B SaaS product portfolios.

Execute multi-channel B2B marketing for a fintech SaaS: run ABM tactics, manage HubSpot, content and asset library, execute events/trade shows, support sales enablement, track marketing metrics and budgets.

Lead full-cycle B2B sales growth across K12 and higher education markets. Manage pipelines, territory strategy, consultative selling, enterprise negotiations, RFPs, procurement, forecasting, and quota attainment. Coach sales teams, present AI-enabled education solutions to institutional leaders, navigate privacy and compliance concerns, and collaborate with Customer Success, Product, and Marketing.

Leads complex recognition technology deployments from planning through go-live, serving as the technical design and project management owner. Responsibilities include developing project plans, managing budgets, schedules, risks, integrators, customers, site audits, technical architectures, quality gates, and support handoffs. The role also improves deployment processes, translates customer requirements into scalable designs, and supports regional business development.

Lead Known’s channel and strategic partnership ecosystem for DNSid, focusing on cloud providers, identity and trust platforms, GSIs, and technology partners. Develop partnership strategy, commercial models, joint go-to-market motions, integrations, and enterprise adoption programs. Lead GSI implementation and Customer Success teams, build executive relationships, establish reference architectures, and convert early deployments into repeatable partner-led growth. The role is a remote U.S. contract-to-hire opportunity.

Lead client-facing analytics consulting engagements, implementing Google Analytics and tag management solutions with minimal oversight. Analyze client data, develop technical strategies, connect marketing platforms, manage project tasks in Asana, communicate with clients, and support consultant mentoring and training. The role requires strong implementation expertise, data visualization skills, project management experience, and familiarity with analytics, customer data, mobile, consent management, and cloud platforms.

Lead strategic alliances for PagerDuty’s enterprise and public sector business. Develop partner strategies, establish relationships with distributors, contractors, and system integrators, and execute joint go-to-market initiatives. Enable sales teams, monitor alliance performance, analyze public sector trends, represent PagerDuty at industry events, and collaborate with sales, marketing, product, and legal teams to drive adoption and revenue growth.

Design and scale foundational APIs and backend services for LogicGate’s multi-tenant GRC platform. Build distributed systems using Java/Kotlin, Spring Boot, AWS, databases, caching, and messaging technologies. Improve reliability, observability, performance, testing, and CI/CD practices. Lead technical design reviews, collaborate cross-functionally, mentor engineers, and use AI coding tools to improve development efficiency.

Lead technical execution for strategic enterprise AI/ML deployments across multi-cloud, on-premises, hybrid, regulated, and air-gapped environments. Design reference architectures, manage Kubernetes implementations, build integrations across data and MLOps ecosystems, support customer scoping and proofs of concept, and translate field experience into product roadmap improvements. The role partners with senior customer technology leaders and internal account, sales engineering, product, and engineering teams.

Lead enterprise data architecture across warehouses, data lakes, downstream applications, and AI workloads. Design data models, Medallion Architecture, ELT standards, semantic layers, APIs, access controls, and reusable datasets. Partner with business and BI teams to drive adoption, conduct architecture reviews, establish platform standards, and mentor data and analytics engineers. The role requires deep Snowflake, dbt, data modeling, pipeline, and semantic-layer expertise, with experience in AI data patterns and cloud infrastructure preferred.