Top Remote Engineering Director Jobs

Leads Sprout Social’s platform-wide AI strategy and engineering organization. Builds high-performing teams of AI/ML engineers and applied scientists; guides architecture, scalable distributed AI products, technical roadmaps, and major feature delivery. Partners with product, design, infrastructure, legal, and go-to-market leaders to align strategy and execution. Develops engineering leaders, oversees hiring and performance processes, and serves as an internal and external subject-matter expert on AI and machine learning.

Lead design and build of an AI-native engineering OS enabling AI across the SDLC/PDLC. Deliver model access, agent orchestration, prompt/spec frameworks, developer portals, CI/CD re-architecture, governance, cost optimization, and an internal AI marketplace. Build and lead an AI platform engineering org and drive org-wide adoption of standardized AI workflows and tooling.

The Director of Engineering will lead platform engineering strategy and teams, enhancing developer experience, driving AI integration, and establishing governance for development practices.

Leads the strategic roadmap for LLM engineering, generative AI, and agentic workflows. Manages and mentors AI/ML, software, data engineering, and MLOps teams while overseeing scalable AWS and Azure architectures integrated with .NET/C# services. Drives production AI adoption, responsible governance, RAG, model fine-tuning, monitoring, latency optimization, cost management, and reliable deployment across healthcare enterprise processes.

Leads capital engineering projects across manufacturing and supply chain facilities, from concept through commissioning and startup. Directs industrial automation, PLC/HMI/SCADA modernization, manufacturing systems integration, digital manufacturing, reliability improvements, and OT cybersecurity implementation. Partners with plant, IT, cybersecurity, maintenance, suppliers, and integrators to deliver secure, scalable solutions, improve operational performance, and maintain engineering standards across multiple locations.

Leads multiple engineering teams, owning software delivery, SDLC quality, people management, strategic alignment, resource planning, incident governance, and team development. Partners with Product and business stakeholders on prioritization, estimation, communication, execution, and performance metrics. The role requires experience with large-scale, low-latency distributed systems, agile delivery, DevOps, CI/CD, automated testing, infrastructure as code, distributed teams, and scalable data technologies.

Leads enterprise data and AI engineering strategy across business units. Responsibilities include modernizing cloud data platforms, establishing governance and semantic layers, enabling self-service and AI-powered analytics, building reusable data products and models, and supporting machine learning, generative AI, RAG, and agentic AI architectures. The role manages data engineering, architecture, AI engineering, and analytics enablement teams while partnering with executives and business stakeholders to deliver trusted, scalable data capabilities.

Lead and scale software engineering teams building SaaS platforms. Set technical strategy, ensure best practices (architecture, CI/CD, security), drive delivery and KPIs, partner with Product and cross-functional leaders, and develop engineering talent while introducing AI/data capabilities to improve platform scalability, reliability, and business outcomes.

Leads a 12-person application security practice conducting code audits, vulnerability research, and secure design reviews. Oversees technical delivery, client relationships, project staffing, utilization, profitability, recruiting, and team development. Provides hands-on technical direction across source-code security work, determines investments in tooling and methodologies, and integrates AI-assisted auditing and research into team workflows. The role also owns practice P&L and supports engineers’ conference, publication, and open-source contributions.

Lead Statara’s Data Products & Engineering function, owning Snowflake-based data infrastructure reliability and evolution, solution architecture for client engagements, pre-sales technical support, cross-functional alignment, and team leadership to deliver scalable data and analytics solutions.

Leads enterprise software engineering strategy, AI and machine learning adoption, cloud platform architecture, legacy modernization, and generative AI deployments. Oversees engineering managers and principal engineers, establishes governance and operational standards, mentors technical teams, and aligns technical roadmaps with executive business goals. The role also drives ethical AI practices, MLOps governance, scalable software delivery, organizational hiring strategies, and cross-functional technology transformation across healthcare systems.

Lead the 0-to-1 architecture, development, testing, and launch of Riverside Insights’ Reach platform and next-generation CogAT assessment. Build and manage a 6–10 engineer team, make build-versus-buy decisions, oversee AWS infrastructure and regulated-data compliance, lead customer migration, and translate product roadmaps into technical execution. The role is hands-on, requiring active coding, full-stack fluency, AI-native development, cross-functional partnership, and senior leadership communication.

Lead the design and implementation of large-scale AI and machine learning systems for Yahoo Search across multiple teams. Define data strategies, evaluation frameworks, and scalable production-serving approaches. Drive technical alignment among engineering, product, design, and research teams; guide adoption of large language models, vision models, generative AI, and agentic AI; and oversee data analysis informing strategic product decisions.

Leads the Insurance Product Configuration and Enrollment Platform Core, managing engineering managers and 20–30 engineers. Owns technical vision, distributed systems architecture, delivery commitments, operational excellence, testing strategy, partner implementations, and cross-team interfaces. Develops engineering leaders, manages hiring and vendors, and drives adoption of AI-augmented development tools and practices. Ensures scalable, secure, reliable platform services while balancing contractual delivery dates with long-term platform maintainability.

Leads the DTC Platform Engineering organization, overseeing cloud foundations, DevOps, CI/CD, Kubernetes, integrations, quality engineering, performance, security, developer tooling, and AI-enabled engineering platforms. Defines multi-year platform strategy, infrastructure and security standards, self-service capabilities, and delivery governance. Partners with product engineering, security, finance, and infrastructure teams while building and mentoring multidisciplinary engineering teams focused on scalable, secure, reliable, and cost-efficient software delivery.

Lead and scale Forward Deployed Engineering and Technical Support teams, owning customer technical outcomes from pre-sales through deployment. Define engagement models, SLAs/SLOs, on-call/escalation structures, tooling, and feedback loops into Product and Engineering. Partner cross-functionally to prioritize roadmap, improve self-service, and drive operational discipline.

Leads enterprise Product Security Incident Response Team operations, overseeing product-related cyber incident detection, investigation, containment, remediation, recovery, and disclosure. Defines PSIRT strategy, governance, playbooks, tooling, threat intelligence integration, and secure CI/CD controls. Partners with Product, Engineering, Legal, and Cloud Infrastructure teams; briefs executives; manages audit documentation; and builds a multidisciplinary security response team.

Lead Boulevard’s infrastructure transformation by defining cloud, DevOps, security, and reliability strategy. Manage and grow infrastructure and reliability engineering teams while architecting scalable AWS platforms, EKS containerization, Terraform and GitOps automation, CI/CD pipelines, observability, disaster recovery, database scaling, and compliance practices. Partner with Product, Services, Data Engineering, and Platform teams to provide secure, highly available, self-service infrastructure that supports business growth.

Leads and grows the engineering organization, sets technical strategy and roadmap, oversees execution across multiple teams, and provides technical direction on architecture, scalability, reliability, security, and quality. Partners with Product, Design, Operations, Risk, and the CTO to deliver customer-focused financial products. Responsibilities include recruiting and developing engineering leaders, improving processes, removing organizational bottlenecks, and balancing product delivery with long-term platform and infrastructure investments.

Leads the See & Scout engineering organization across software, data, machine learning, and robotics. Owns technical strategy, architecture, and multi-year roadmaps for scalable cloud, distributed data, edge, and machine learning platforms. Oversees the full data and ML lifecycle, production delivery, operational excellence, and customer-focused agricultural intelligence capabilities. Recruits and develops engineering leaders, partners cross-functionally, and aligns stakeholders across Blue River and John Deere.

Leads the hotel’s Engineering and Grounds department, overseeing property maintenance, facilities operations, construction projects, capital planning, budgets, vendors, contracts, safety, staffing, training, and work-order completion. Partners with property leadership to support guest service, regulatory compliance, operational openings and closings, and continual asset-management improvements. The role requires hands-on planning, financial oversight, flexible scheduling, physical stamina, and leadership of maintenance personnel.

Leads and grows multiple software engineering teams responsible for customer-facing applications, microservices, and backend systems. Partners with product managers, mentors engineers, improves engineering practices, and drives full-stack solution delivery. Oversees scalable, resilient, and highly available architectures, AWS deployments, modernization of monolithic applications into microservices, innovation, and Agile collaboration.

Leads enterprise technology delivery across data engineering, AI automation, cloud modernization, and client implementation portfolios. Owns execution outcomes, roadmaps, governance, budgets, risks, and ROI for multi-million-dollar programs. Builds globally distributed manager-of-managers teams, drives AI-enabled engineering practices, responsible AI governance, DevOps maturity, platform modernization, operational reliability, and executive stakeholder alignment.

Leads automation engineering for NBCUniversal’s data collaboration platform. Designs AI agents, RAG workflows, reusable tools, APIs, and production-grade Python services supporting audience activation, measurement, and reporting. Establishes agent evaluation, monitoring, reliability, testing, and safety standards. Oversees clean room libraries and scalable data workflows while partnering across product, engineering, operations, and data platform teams. Hires, mentors, and develops software and AI engineers and drives technical direction, maintainability, and operational excellence.

Lead engineering execution and organizational capability for a cloud-based PMS. Drive predictable delivery, platform reliability, modernization, AI-enabled developer productivity, standardized practices, and cross-business platform strategy while growing and developing engineering teams.