Top Remote Jobs in Provo, UT

Own commercial contracting, privacy and data-protection (GDPR, CCPA/CPRA, HIPAA) programs, corporate governance, IP/open-source policy, and telecom/AI regulatory posture. Be the in-house legal function: build playbooks, support Sales/Product/Engineering, and manage outside counsel to keep deals and product shipping moving quickly.

The Senior Accounts Receivable Accountant ensures compliance with GAAP, manages internal controls, processes payments, reconciles accounts, and improves operations.

This role involves creating insights and research for General Counsel clients, advising on governance, risk management, and legal functions, while engaging in client interactions and supporting sales efforts.

The Senior Director Analyst will provide insights for CIOs in financial services, focusing on risk strategy, technology trends, and best practices.

Manage full-cycle recruiting for cleared and non-cleared federal contract positions: source, screen, interview, negotiate offers, coordinate onboarding, build talent pipelines, partner with hiring managers, and support proposal recruiting for contract bids.

This position is for applicants interested in general ART roles not currently listed. Candidates should submit their applications here.

This is a general design position for applicants who do not fit current openings.

The Associate will oversee operational assessments of mortgage lenders, conduct due diligence reviews, and evaluate compliance with regulations, producing detailed reports.

Lead channel partner development across the Mid-West by prospecting, onboarding, and enabling distributors, VARs, and installers. Manage partner relationships, joint pipeline and co-selling, negotiate contracts, and coordinate cross-functional teams. Monitor regional market trends and utility incentives to drive sales growth and ensure partner success.

This is an open application for candidates to join a talent network. Applicants can submit their resumes, and they will be contacted if a suitable opportunity arises.

As a Machine Learning Engineer, you'll develop and deploy ML models for medical imaging, collaborate with teams, and optimize for production environments.

Work with large-scale datasets to deliver advanced analytics, predictive models, and executive dashboards. Perform statistical analyses, prepare data pipelines, build reproducible workflows, and translate findings into strategic recommendations for clients and leadership. Collaborate across engineering, product, and strategy to improve analytics products and ATLAS platform capabilities.

Lead and grow a ~10-person global SRE team, drive reliability and cost-efficiency of multi-tenant cloud infrastructure, build self-service platform capabilities, establish SLOs/SLIs, improve alerting, own FinOps practices, and embed AI tooling into SRE workflows.

Lead the Interventions engineering pillar owning technical strategy and execution for early diagnosis, longitudinal care, and treatment. Scale data and ML infrastructure, improve clinical data accuracy, manage ML/LLM features, drive AI-assisted SDLC, and partner cross-functionally with Product, Data Science, and Clinical Operations to meet clinical performance goals.