Top Remote VP of Engineering Jobs

Lead global AI/ML engineering to define and execute model and platform strategy, build agentic AI and omni-channel AI experiences, scale ML infrastructure (training, feature stores, serving, MLOps), drive applied research (NLP, generative AI, RAG, RL), and recruit and grow a 100+ engineering organization to deliver enterprise-grade AI for Fortune 500 customers.

Serve as financial and strategic partner to CTO/EVP Enterprise Engineering. Own budgeting, forecasting, consolidation, variance analysis, capital investment ROI, workforce management, vendor insights, and monthly operational reviews. Build and lead a team of 7+ finance professionals, drive cross-functional collaboration, implement financial best practices, and influence engineering plans to meet budgets and long-range objectives.

The role involves leading a large engineering team focused on identity and data platforms, defining strategic roadmaps, ensuring data governance, and collaborating with various functions to enhance AI-native applications.

The VP of Engineering will lead the engineering organization, scale operations, drive AI integration, ensure delivery excellence, and foster collaboration with product and technology teams.

Oversee a globally distributed engineering organization, set engineering strategy, drive operational excellence, and champion AI-native practices in a remote environment.

The VP of Engineering will oversee day-to-day operations, guide multiple engineering teams, and drive AI-native software development, ensuring product delivery and quality.

The VP of Data & AI Engineering leads Duck Creek's enterprise data and AI strategy, overseeing global teams, implementing scalable platforms, and ensuring data governance and responsible AI practices.

The VP of AI Software Engineering will lead AI-driven technologies for software quality improvement and platform reliability, oversee AI solutions design and delivery, mentor engineering teams, establish governance, and collaborate with stakeholders to integrate AI solutions in software development processes.

Lead engineering teams for WordPress, Hosting, and Security at GoDaddy, managing strategy, quality, and organizational growth while collaborating with product management and technology leaders.

The VP of Cloud Engineering will strategize and oversee the firm’s cloud architecture on Azure, enhancing operational reliability and product delivery, while optimizing Microsoft 365 environments.

The VP, Revenue Operations & GTM Engineer will lead and optimize revenue operations, drive AI-native GTM workflows, and manage the revenue tech stack to enhance efficiency and forecasting accuracy.

Lead the Revenue Operations function, redesign processes, implement AI-driven workflows, and ensure data integrity while optimizing sales and marketing strategies.

As the VP of Revenue Operations & GTM Engineer, you'll lead the full revenue operations function, design AI-driven workflows, optimize processes, and ensure data quality across Sales, Marketing, and Customer Success.

The VP of Revenue Operations & GTM Engineer will lead revenue operations, redesign processes, implement AI-native systems, and manage forecasting and analytics for a multi-product platform.

Lead Revenue Operations and build AI-native systems at SecurityScorecard, overseeing pipeline management, forecasting, and the tech stack for sales and customer success.

The VP of Engineering will lead architectural direction and team mentorship while driving execution and defining engineering practices to ensure high-quality product delivery at InfinitForm.

Lead and modernize global endpoint engineering across Windows, macOS, ChromeOS and VDI/DaaS platforms. Own OS/image lifecycle, endpoint configuration/hardening, Intune/Autopilot and SCCM co-management, VDI performance, and endpoint security controls. Partner with Security, Risk, and Desktop Operations for audit readiness, telemetry-driven improvements, and scalable production rollout.

The role involves leading a team to modernize applications and drive cloud engineering practices on AWS, focusing on application migration, microservices architecture, and operational excellence.

Lead the engineering vision for threat detection, architect scalable systems, foster community intelligence, and create a culture of technical excellence and innovation.

Lead a small engineering team to turn ambiguous opportunities into production software quickly and safely. Establish AI-first development, specification-driven practices, strong automated testing, CI/CD, observability, and production ownership while improving legacy systems and influencing enterprise engineering practices.

The Engineering Leader will oversee software and data teams, ensuring product delivery and operational excellence in robotics and IoT systems.

Lead the global engineering organization, scaling teams, maintaining operational efficiency, and ensuring high performance while fostering a strong engineering culture across diverse regions.

Lead platform, infrastructure, and DevOps strategy and architecture to enable product squads. Build scalable, secure cloud-native platforms, CI/CD, observability, and developer tooling. Drive SRE, automation, reliability, and cross-functional alignment to accelerate product delivery and operational excellence.

Senior engineering leader responsible for technical vision, managing multiple engineering teams (architecture, platform, DevOps, data), driving scalable cloud-native systems, talent acquisition and development, process and delivery improvements, compliance and risk oversight, and cross-functional collaboration with business leaders to align engineering with company strategy.

Lead engineering and AI efforts at Next League, mentoring teams, defining technology roadmaps, and collaborating with clients to deliver innovative solutions.