Top Remote Jobs in Tucson, AZ

Leads and develops the program management leadership team, establishes operational vision, strengthens systems and processes, and aligns operations with growth initiatives. The role is accountable for program excellence, team performance, organizational culture, client satisfaction, coordinator engagement, and scalable delivery. It requires strategic execution, multi-layer leadership, cross-functional collaboration, and monthly travel for retreats, summits, and industry events.

Create, edit, and deliver motion graphics, animations, video edits, and visual treatments for marketing, social, customer-facing, and product content. Translate concepts and product assets into polished visual stories using typography, pacing, sound, and post-production techniques. Manage assets, versions, feedback, timelines, approvals, and deliverables across multiple concurrent projects while collaborating with product, design, marketing, and business stakeholders.

Coordinate engineering systems delivery across engineering, product, QA, creative, and leadership teams. Facilitate Agile ceremonies, manage sprint planning and backlog health, track velocity, capacity, milestones, risks, dependencies, and blockers, and support release readiness. Maintain work-management documentation, action logs, dashboards, and delivery trackers. Partner with QA on testing and regression tracking, coordinate cross-team commitments, and ensure critical-path work progresses predictably.

Lead technical delivery and architecture for Azure networking engagements. Design secure, high-performance network topologies, provide technical oversight, coach teams, resolve escalations, create reusable artifacts, and ensure projects meet milestones and billable targets.

Lead enterprise contract management implementations, including discovery, configuration, workflow automation, data migration, integrations, testing, documentation, training, and customer consulting. Define integration requirements, data mappings, API specifications, and end-to-end data flows across Malbek and platforms such as Salesforce, Coupa, SAP Ariba, and Oracle Fusion. Advise customers on AI adoption, troubleshoot integration issues, and support deployment, validation, and optimization.

Support onboarding and account health for IDV and KYA customers by tracking milestones, following up on action items, maintaining CRM records, drafting communications, and creating enablement resources. Coordinate customer issues across Customer Success, Product, and Engineering, maintain voice-of-customer feedback, and apply AI tools to automate routine work and improve team efficiency.

Build and grow relationships with accounting firms, CFO consultants, and advisors. Source and onboard partners, run outbound campaigns, manage CRM and referrals, ensure partner revenue share, host events and represent Kintsugi at conferences, and collaborate with sales, marketing, and product to enable partner-driven growth.

Lead and grow the Product Engineering team to deliver customer-facing web dashboards, APIs, integrations, and AI workflows. Own roadmap execution, collaborate with Product and Design, drive engineering best practices (testing, deployment, observability), provide technical mentorship, and remain hands-on in architecture and code reviews to ensure high-quality, scalable SaaS product delivery.

Own customer relationships from Sales handoff through verified handoff to Customer Success. Audit account setup, guide customers through data configuration, registrations, integrations, and platform walkthroughs, document interactions, resolve or escalate issues, manage concurrent onboardings, and coordinate with Sales, Product, Engineering, and Customer Success. Gather feedback and improve onboarding processes and adoption.

Leads software architecture and delivery while building scalable web applications and production-grade AI systems. Responsibilities include LLM integrations, RAG pipelines, vector search, model evaluation, ML serving, AI observability, APIs, microservices, and cloud deployment. The role contributes to technical roadmaps, architecture reviews, agile initiatives, documentation, and domain-driven design while mentoring engineers and collaborating with product, design, data science, and engineering teams.

Own pre-sales solution design and end-to-end implementations for creditors’ rights clients. Map portfolios, workflows, jurisdictions, integrations, pricing, and reporting requirements; coordinate data exchanges, APIs, pilots, QA, go-live, and handoffs. Partner with Sales, Service Delivery, Product, Engineering, Compliance, and vendors while managing timelines and success metrics. Provide expertise on collections litigation, service of process, e-filing, post-judgment workflows, FDCPA, Regulation F, and related compliance requirements.

Leads quality assurance for web, mobile, and application portfolios by designing test strategies, architectures, plans, and automated frameworks. Develops and maintains automated functional, integration, regression, performance, load, and API tests using JavaScript and related technologies. Coaches test engineers, reviews requirements and pull requests, tracks defects, reports quality metrics, supports user acceptance testing, and collaborates with Agile development teams through continuous delivery releases.

Design and prototype AI agent systems, agentic workflows, BI and ML pipelines, and enterprise data solutions for strategic customers. Translate governance needs into technical roadmaps, deliver measurable business value, create reusable implementation accelerators, and provide technical guidance to customers and junior engineers. Collaborate with Deployment Strategists, Account Executives, Product, Engineering, and GTM teams to improve Alation’s platform and customer outcomes.

Drives customer evaluations and deployment progress by tracking technical issues, coordinating account teams and internal stakeholders, supporting RFIs and RFPs, translating customer requirements into product feedback, delivering focused solution demonstrations, and documenting reusable knowledge. The role requires strong organization, communication, technical presentation skills, and familiarity with data, AI, databases, analytics, integration, cloud platforms, and related technologies.