Top Remote Senior Level Jobs in Boise, ID

Senior Product Manager responsible for evolving CentralReach Essentials, with emphasis on revenue cycle management and practice management. Owns product strategy and end-to-end roadmap delivery, translates clinical, operational, and billing workflows into scalable solutions, collaborates cross-functionally, tracks product success metrics, and advances AI-enabled capabilities. Requires strong knowledge of healthcare practice management, claims and payer workflows, billing, authorizations, scheduling, and reporting.

Ensure the quality of web applications, APIs, backend services, and mobile applications through manual and automated testing. Develop test strategies, plans, and documentation; manage defects; lead root cause analysis; integrate testing into CI/CD pipelines; validate accessibility; and mentor junior QA engineers. Collaborate with product, design, and engineering teams to improve product quality, performance, security, and user experience.

Develops and manages integrated schedules for capital projects across engineering, construction, and project phases. Responsibilities include schedule logic and sequencing, resource loading, critical path and risk analysis, performance tracking, schedule reporting, status meetings, earned value assessment, and change management. Partners with project, engineering, construction, cost engineering, and business teams to support project execution. Requires heavy industrial project scheduling experience and proficiency with Primavera P6.

Lead Omniscient’s AEO and SEO department, including team development, methodology, client health, P&L, budgets, KPIs, business growth, and quality assurance. Drive AI integration, build automation tools, shape the company’s AI-search positioning, support client relationships, and generate leads through industry presence and thought leadership.

Design, configure, and optimize Azure DevOps organizations and CI/CD pipelines. Implement process templates, Portfolio++ for portfolio visibility, integrate with third-party tools, support sprint and capacity planning, troubleshoot pipelines, and create runbooks and adoption guidance for client teams.

Lead end-to-end technical programs across multiple teams using Azure DevOps and Portfolio++. Define roadmaps, manage dependencies, run Agile ceremonies, surface and resolve risks, build PMO practices, and deliver executive-ready status and dashboards to ensure predictable, outcome-driven delivery.

Design, build, and maintain production-grade .NET web applications and APIs on Azure. Own full-stack delivery from data models and SQL to front-end components, CI/CD, testing, and architecture. Collaborate with product and delivery teams, participate in code reviews, and ensure secure, observable, well-tested services.

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.

Lead and grow ecommerce channel, referral, and technology partnerships. Recruit and enable affiliate/agency partners, manage partner relationships and performance, represent the company at events, and collaborate with product/engineering to scope and launch integrations and go-to-market efforts.

Plan and execute events, webinars, and speaking opportunities to generate qualified leads; build and manage strategic partner relationships and joint-marketing programs; collaborate with Sales, Product Marketing, and Content to align messaging, track ROI, and expand partner ecosystem in target markets (e-commerce, SaaS, multi-entity businesses).

Own the People strategy and HR partnership for the Agency team. Advise leaders on organizational design, talent, performance, employee relations, workforce planning, compensation, and compliance. Analyze workforce metrics, improve hiring and people processes, support hourly and frontline employees, lead manager training, and drive change initiatives. Handle sensitive employee relations matters independently while partnering with People Operations, Legal, and business leadership.

Designs, implements, and maintains Splunk data ingestion pipelines, integrations, alerts, infrastructure, and security controls across on-premises and cloud environments. Manages system performance, upgrades, access controls, troubleshooting, root cause analysis, documentation, and cybersecurity tool integrations. Collaborates with SOC teams to optimize processes, tune tools, support incident response, and ensure data integrity, compliance, and reliable high-volume data processing.

Leads organization-wide AI/ML and automation strategy, architecture, governance, adoption, and capability development across engineering and manufacturing. Establishes reusable methods, AI-ready data systems, technology roadmaps, and responsible AI practices. Guides platform and partner selection, cloud initiatives, workforce development, and cross-functional transformation while advising senior leadership on AI investments, risks, and priorities.

Develop and implement country HR strategies, policies, and procedures while ensuring regulatory compliance. Automate HR workflows using AI, manage HR vendors, advise managers on employee relations and talent development, analyze HR metrics, improve HR practices, and collaborate with global HR teams. The role also supports recruitment and onboarding, promotes an inclusive employee experience, and requires strong HR technology, analytical, communication, and project management skills.

Design and implement high-performance, 3GPP-compliant 5G Core control- and user-plane functions on ARM-based embedded Linux. Develop in C/Go/Rust, use DPDK for packet processing, optimize latency/throughput, debug protocol and performance issues, and collaborate cross-functionally to integrate carrier-grade systems.

Designs scalable data models, optimized SQL queries, analytics infrastructure, semantic layers, and data applications. Partners with data science, product, engineering, and business teams to enable dashboards, self-service analytics, reporting, and enterprise data-driven decision-making. The role also establishes analytics engineering best practices, improves developer experience, and supports secure, compliant data warehousing.