Top Remote Tech Jobs

Underwrites complex property, casualty, professional, financial, and specialty risks exceeding program administrator authority. Evaluates pricing, coverage, terms, market trends, profitability, and new program opportunities. Develops underwriting guidelines, forms, rate filings, and program tools; supports reinsurance placement and audits. Builds relationships with program managers, brokers, managing general agents, and reinsurers. Provides technical assistance, reports, training, mentoring, and recommendations to management while supporting program integration and profitable premium growth.

Senior Trial Attorney independently handles civil litigation as lead counsel for commercial and personal lines insurance matters. Responsibilities include trial advocacy, case management, valuation, negotiation, legal research, client communication, compliance with jurisdictional rules, and collaboration with claims partners and support staff. The attorney manages complex caseloads, maintains professional relationships, mentors junior attorneys, adapts to legal and technological changes, and supports business development across assigned jurisdictions.

Provides technical enablement for Portfolio Insights by developing and maintaining Power BI monitoring dashboards, translating ambiguous business questions into analytical outputs, synthesizing cross-portfolio insights, and preparing executive-ready analytics. Partners with internal data teams, supports measurement strategies, leads technical execution across Property, Casualty, and Financial Lines, and communicates findings to nontechnical leaders. The role also manages projects, builds business intelligence applications, and serves as a trusted advisor to stakeholders.

Manage a defined book of business by improving retention, reducing churn, identifying expansion opportunities, and closing upsell and cross-sell deals. Build executive-level client relationships, monitor customer health and adoption, mitigate renewal risks, and contribute to revenue growth through consultative account management.

Leads enterprise demand planning and Integrated Business Planning across AIS, aligning market demand, financial commitments, supply, inventory, and execution. Establishes planning governance, forecasting standards, scenario analysis, and executive decision support. Drives planning transformation through analytics, automation, artificial intelligence, and digital tools while improving forecast accuracy, working capital, customer outcomes, and profitability. Partners across Commercial, Finance, Operations, Product Management, Manufacturing, Fulfillment, and Supply Chain, and leads a global team with responsibility for organizational development and capability building.

Leads enterprise Finance Transformation PMO execution, governance, roadmap planning, risk management, executive reporting, and change adoption. Partners across Finance, IT, data, business operations, regions, and external providers to standardize, automate, and simplify finance processes, systems, reporting, and operating models. Provides finance and FP&A expertise while driving stakeholder alignment, training, communications, sustainable ownership, and value realization across complex transformation workstreams.

Owns and executes diagnostic imaging sales strategy across a Southwestern Ohio territory. Responsibilities include managing healthcare stakeholder relationships, generating leads, increasing market share and revenue, meeting equipment and service-contract targets, developing customer technology and capital plans, negotiating deals, and using Salesforce.com to manage account activity and sales funnels. Requires substantial capital equipment sales experience and travel within the assigned territory.

Leads advanced analytics and predictive modeling for B2B credit risk, fraud, pricing, and profitability. Develops statistical models, supports risk model frameworks, monitors strategy performance, analyzes customer and market data, and produces portfolio risk reporting for executives. Partners cross-functionally with Risk, Product, Technology, Engineering, and Data Science teams while identifying data quality issues and delivering actionable insights.

Leads supervisors and customer support teams across multiple client programs. Responsibilities include coaching, KPI and staffing oversight, customer escalations, workflow improvement, training, accounts receivable support, lean methodology, cross-functional initiatives, and fostering an inclusive performance culture.

Designs and maintains cloud infrastructure for game development and live-service games. Builds infrastructure-as-code, CI/CD pipelines, monitoring, security practices, and development environment automation. Responds to live support issues, debugs development problems, and supports multiple teams with reliable deployment workflows. The role requires hybrid work from the Saratoga Springs, New York office.

Lead technical direction for AI infrastructure, data platforms, shared software primitives, and agentic engineering practices. Build scalable, cloud-native services and secure MCP integrations while establishing AI quality gates, evaluation frameworks, responsible-AI controls, SLOs, and architectural standards. Guide modernization, build-versus-buy decisions, and high-stakes platform choices. Mentor senior engineers and influence technical norms across teams while balancing product delivery, partner needs, member trust, security, and operational quality.

Lead technical direction across multiple products and platforms while building shared AI, data, quality, and testing infrastructure. Define standards for AI-generated code, MCP integrations, responsible AI, security, and cloud-native modernization. Architect evaluation frameworks, regression systems, guardrails, and automated quality gates. Make build-versus-buy and high-stakes architectural decisions, establish operating rhythms and release criteria, mentor senior engineers, and communicate complex technical concepts to executives and partners.

Lead technical direction for AI infrastructure, data platforms, shared services, and agentic engineering practices while remaining hands-on. Architect secure MCP integrations, establish AI quality gates, evaluation frameworks, SLOs, and responsible-AI standards. Guide build-versus-buy decisions, modernize legacy systems, improve cloud-native scalability, and safeguard sensitive member data. Mentor senior engineers and communicate complex architecture and AI concepts to executives and cross-functional partners.

Leads and mentors design managers and designers while setting strategic vision, advancing design practices, and driving execution excellence. The role partners with product, engineering, and organizational leaders; frames research initiatives; shapes holistic user experiences; communicates strategy through storytelling; manages talent, hiring, headcount planning, and budgets; and promotes continuous improvement, employee engagement, accountability, and client-focused organizational culture.

Leads accounting, financial reporting, and operational process improvements across Controller and Treasury functions. Provides subject matter expertise, analyzes financial and operational data, improves data quality and controls, supports audits and regulatory examinations, and guides automation and process redesign. Partners with Accounting, Investments, Operations, and Technology stakeholders to resolve complex issues, strengthen reporting integrity, and drive scalable business outcomes.

Ensures accurate financial data processing, reconciliation, reporting, controls, and accounting treatment across Controller and Treasury functions. Analyzes discrepancies and trends, supports audits and regulatory examinations, investigates root causes, maintains audit-ready documentation, and improves reporting and operational processes through standardization and automation. Partners with Accounting, Operations, Financial Controls, and Technology teams while managing risks, data quality, and shifting priorities.

Lead and coach a team of 3–5 engineers while contributing hands-on to system design, code reviews, development, deployment, and maintenance. Partner with Product and UX to deliver end-to-end features, including AI-powered capabilities. Shape technical direction, improve engineering practices, communicate complex problems clearly, and measure product value for physicians and patients.

Leads the end-to-end customer support organization, owning service-level performance, case resolution, quality assurance, workforce planning, tooling, and operational scalability. Builds technically skilled support teams, career ladders, training systems, and high-performance culture. Partners with Product and Engineering to turn support insights into roadmap improvements and reduce future case volume. Establishes data-driven processes, dashboards, AI-assisted resolution oversight, and strategic operating models for a growing SaaS healthcare platform.

The role involves leading product demonstrations, cultivating sales pipelines, and leveraging healthcare expertise in pre-sales, while communicating value via ROI storytelling.

Owns month-end close, reconciliations, journal entries, invoicing, revenue validation, and account accuracy. Supports FP&A activities including forecasting, budgeting, variance analysis, operational reporting, dashboards, and monthly business reviews. Partners with Accounting, Finance, Client Services, and management to maintain consistent financial data, improve reporting processes, and strengthen business insights.

Leads organizational change, cultural adoption, and internal communications across Kobie. Partners with executive and functional leaders to develop change strategies, cascade strategic messaging, manage communication cadences, and measure adoption. Builds organizational clarity, supports employee experience and employer brand initiatives, strengthens belonging, and enables new capabilities across teams and locations. Uses surveys, feedback mechanisms, and metrics to identify cultural gaps and improve engagement.

Leads enterprise AI and machine learning strategy, designs and scales production systems, translates business challenges into measurable AI outcomes, establishes governance and technical standards, and mentors data science and machine learning teams. Responsibilities span model training, evaluation, deployment, monitoring, lifecycle management, and collaboration with business and technology leaders.

Analyzes complex claims, provider, utilization, and business performance data; identifies anomalies and trends; develops recurring and ad hoc reports; translates business requirements into decision-support tools; and provides analytical insights and consultation to leadership, business teams, and external customers.