Top Remote Jobs in Boise, ID

Identifies, engages, and qualifies prospective customers through phone, email, and social outreach. Manages marketing-qualified leads, conducts account research using sales prospecting tools, performs cold calling, uncovers prospect needs, schedules sales-qualified meetings, and partners with Account Executives on territory-based account outreach.

Drive new business revenue across the Western Territory by selling complex healthcare technology and services, including AI-enabled EHR and revenue cycle management solutions. Manage the complete enterprise sales cycle from prospecting, discovery, demonstrations, proposals, negotiations, and closing through accurate forecasting and CRM updates. Build relationships with healthcare decision-makers, manage RFPs, develop territory plans, and travel 50–75% of the time.

Leads enterprise enablement across business applications, business intelligence, and AI. Owns strategy, roadmaps, governance, vendors, budgets, data quality, reporting, AI workflow deployment, and organizational adoption. Builds and mentors multidisciplinary teams while partnering with Finance, Operations, Product, Sales, and Support leaders to deliver measurable business outcomes, improve processes, and establish secure, scalable technology foundations.

Conduct research and quantitative analysis related to law school access, affordability, academic and bar success, and legal education value. Clean and organize data, maintain research tools and repositories, create statistical tables and visualizations, advise stakeholders on research methods and data interpretation, and produce briefs, reports, and presentations for policy and practitioner audiences.

Drive business growth across North American IT and SAP accounts. Manage client relationships, identify new and expansion opportunities, lead sales pitches, proposals, contract negotiations, and SOW execution. Coordinate offshore delivery alignment, engage executive stakeholders, and manage sales pipelines, account roadmaps, and revenue metrics. The role operates remotely from India during North American night-shift hours and requires strong IT services, SAP, and enterprise client experience.

Leads Insurity’s enterprise cybersecurity, information security, privacy, HIPAA, AI governance, risk, compliance, and incident response programs. The CISO sets security strategy, advises executives and the Board, oversees cloud, application, product, and infrastructure security, manages audits and regulatory obligations, directs crisis response, builds the security organization, and partners with customers, regulators, vendors, and cross-functional leadership to protect company and customer data.

Design and scale production-grade asynchronous backend systems in Python, including REST/WebSocket APIs, multi-agent LLM workflows, provider-agnostic integrations, and RAG pipelines. Build schemas and migrations, optimize relational databases, instrument services, and own CI/CD from testing through deployment. Establish AI governance around code review, provenance, licensing, security, compliance, and customer data. Drive architecture and product ideas from conception through production.

Manage commercial property and casualty insurance accounts by designing coverage programs, supporting producers, negotiating with carriers, preparing proposals and applications, renewing and remarketing policies, educating clients, and maintaining accurate documentation. The role requires advanced Excel skills, proficiency with Microsoft Office, an active General Lines or Property & Casualty license, and 3–5 years of commercial insurance experience. This position is remote from Georgetown, Texas, with hybrid or in-person work available locally.

Leads QA strategy and test architecture for Kubernetes, cloud-native, distributed, and multi-cloud systems. Designs scalable automation, production-like test scenarios, chaos and performance testing, CI/CD quality gates, and infrastructure-as-code. Provides technical leadership through risk analysis, release readiness assessments, incident retrospectives, architecture reviews, and mentorship. Requires deep Kubernetes, Linux, cloud, automation, observability, security, and troubleshooting expertise.

Lead the architecture, development, deployment, and adoption of production AI/ML systems within client environments. Build scalable ML platforms, agentic systems, RAG pipelines, and integrations; resolve complex enterprise deployment challenges; and establish standards for reliability, security, cost, and responsible AI. Partner with technical and business stakeholders, support client enablement, lead design reviews, and mentor engineers while delivering solutions from research through production.

Leads the architecture, development, optimization, and production delivery of complex AI/ML and agentic systems. Builds scalable ML platforms, pipelines, and infrastructure; establishes engineering standards; drives AI strategy; and mentors engineers. The role requires expertise in generative AI, AWS, RAG, evaluation and observability, AI safety, API integration, cost optimization, Docker, Kubernetes, and AI coding tools.

Leads architecture and delivery of production-grade AI, multi-agent, cloud, data, and ML systems. Defines AWS-centered technical strategy, builds agentic platforms, designs data pipelines and MLOps infrastructure, and establishes DevOps, security, governance, observability, and cost standards. Serves as the senior technical authority for clients and cross-functional teams, mentors engineers, evaluates emerging technologies, and drives complex solutions from research through production.

Designs, builds, deploys, evaluates, and optimizes production AI systems, including RAG pipelines, agentic workflows, and model integrations. Uses Python and cloud platforms to deliver scalable solutions, establishes quality and monitoring frameworks, addresses responsible AI and security concerns, and manages cost-performance tradeoffs. Serves as a senior technical client advisor, supports discovery and presales, mentors engineers, researches emerging AI technologies, and develops reusable accelerators.