Top Remote Senior Level Jobs in Salt Lake City, UT

Prepare monthly accounting entries, FX translation, reconciliations, consolidated financial statements and investor reports. Manage cashflow, payments, tax, audit, treasury, internal controls, product costing and KPIs. Lead finance team, coordinate with local firms, support strategic planning and cost-savings initiatives.

Design and deliver scalable, secure enterprise Java solutions. Produce HLDs/LLDs, define APIs, enforce standards, guide development teams, promote microservices, integrate systems, and collaborate with DevOps for CI/CD and deployment.

Plan, configure, implement, and support SAP SD/CS within S/4HANA. Manage Order-to-Cash processes, integrate with FI/MM, gather and document requirements, execute testing and UAT, provide L2/L3 support, deliver post-go-live improvements, and train end users while maintaining technical documentation.

Lead the planning, design, implementation, enhancement, and support of SAP SuccessFactors HCM solutions. Manage day-to-day HR applications, perform system analysis and configuration, drive process improvements, ensure compliance, monitor performance, resolve issues, maintain documentation, lead analysts, manage project timelines and stakeholders, and collaborate with HR and cross-functional teams to increase adoption and optimize systems.

Leads a portfolio of supplier source changes and new product introductions through GE Aerospace’s change process. Plans and executes changes, coordinates suppliers and cross-functional teams, manages schedules and risks, resolves manufacturing and readiness issues, and protects on-time delivery and continuity of supply. The role requires aerospace and shop-floor experience, strong project management, data-driven problem solving, stakeholder leadership, and willingness to travel up to 50%.

Lead hands-on development of scalable software, APIs, integrations, automations, and core product features. Architect systems, make technical decisions, ensure code quality, optimize performance and security, and collaborate across Product, Design, Data, and Business teams. Mentor developers, conduct code reviews, shape the technical roadmap, and improve engineering workflows, CI/CD, and architecture. The role also explores AI, automation, and API-first technologies in a fully remote startup environment.

Design, build, and operate distributed data-platform services, containerized AWS workloads, scalable pipelines, orchestration systems, and data-moving infrastructure. Own production reliability, security, governance, compliance, and on-call operations. Lead architecture for AI-ready data infrastructure, mentor team members, and establish engineering standards for testing, deployment, and operational readiness.

Lead and build a mobile engineering team from the ground up, overseeing hiring, mentorship, architecture, product execution, release governance, QA infrastructure, app-store deployments, telemetry, and cross-functional collaboration. The role manages iOS, Android, and cross-platform development while ensuring reliable, secure, high-quality mobile experiences for employees and retirement-plan administrators.

Supports GTM FP&A through revenue forecasting, scenario modeling, variance analysis, budgeting, KPI monitoring, and financial reporting. The role provides data-driven insights to Sales, Partnerships, Marketing, and Customer Onboarding leadership; prepares board and investor materials; improves forecasting accuracy; and develops scalable finance processes for a high-growth SaaS business.

Partner with Technology leaders on organization design, headcount, talent decisions, compensation, leveling, succession, and performance. Coach managers through feedback, conflict, and performance issues; manage employee relations; lead talent cycles; improve technical hiring practices; identify retention risks; and build scalable People processes with People Ops, Legal, and Finance in a distributed organization.

Design, build, test, deploy, and operate frontend applications, backend services, data pipelines, and AI systems. Lead technical initiatives, own production features end to end, scale reliable systems, run A/B tests, and partner with product and operations teams to automate healthcare workflows using deterministic logic, machine learning, and LLMs.

Oversee client experience and retention across the healthcare revenue cycle. Serve as the primary client liaison, advise stakeholders on financial performance and operational improvements, address concerns, and lead executive presentations. Collaborate with billing, coding, operations, and technology teams to achieve client KPIs, improve collections, reduce costs, ensure regulatory compliance, and strengthen account performance through analytics and strategic guidance.

Develop, deploy, and maintain InterSystems IRIS/Cache applications and complex HL7 interfaces (SDA, CCDA, JSON). Implement CQ Initiator/Responder workflows, support IRIS in Kubernetes (IKO), use adapters (SFTP, HL7, HTTP), troubleshoot integrations, and collaborate across teams.

Leads product discovery and roadmap development for digital-asset regulatory technology serving banks, regulators, and financial institutions. Gathers requirements from clients, consultants, compliance professionals, and regulators; prioritizes features; presents products in demos and tenders; and partners with executive leadership, business development, and engineering. The role requires expertise in B2B product management, financial crime compliance, AML, transaction monitoring, blockchain intelligence, and regulated enterprise software, with regular domestic and international travel.

Leads architecture and hands-on development for AI frameworks, performance systems, benchmarking, and developer tools. Investigates issues across models, compilers, runtimes, services, and accelerator hardware; improves model onboarding, runtime performance, reliability, hardware utilization, and Azure efficiency. Establishes scalable measurement and observability capabilities, influences cross-team technical strategy, delivers production solutions, and mentors engineers while advancing engineering quality and maintainability.

Serve as a customer-embedded technical leader aligned to a strategic account, driving business outcomes by building and shipping production-grade solutions, translating business needs into technical approaches, influencing senior stakeholders, preparing transitions to FDE crews, and operating with speed and entrepreneurial ownership in ambiguous, customer-facing environments.

Leads development of distributed AI infrastructure for large-scale reinforcement learning and LLM post-training. Designs scalable, resilient systems; optimizes model, hardware, and inference performance; improves developer tooling and engineering practices; mentors engineers; and supports production services through reliability engineering, incident response, telemetry, and on-call operations.