Top Remote Engineering Director Jobs

Designs, builds, and governs enterprise ontologies, taxonomies, semantic models, knowledge graphs, metadata services, and semantic APIs. Partners with product, AI, analytics, platform, and business teams to enable RAG, agentic AI, contextual search, reasoning, interoperability, and analytics consistency. Establishes metadata governance, quality controls, stewardship, lifecycle management, and reusable engineering patterns. Evaluates semantic technologies, mentors engineers, and communicates technical trade-offs and recommendations to diverse stakeholders.

Lead ML engineering and infrastructure teams to design, build, and scale end-to-end ML systems (recommendation, personalization, ads), architect distributed low-latency serving and streaming platforms, oversee ML pipelines, ensure reliability, observability, cost efficiency, and partner with product and engineering to deliver ML-driven experiences.

Lead a product engineering team delivering power systems expertise for microgrids and data centers. Define technical vision, review designs, set protection and controls standards, guide power analysis, interface with stakeholders, and grow a high-performing team.

Leads a 35-person mechanical engineering discipline, overseeing engineering operations, programs, project delivery, staff development, client relationships, business development, financial performance, and commercial growth. Manages 6–7 direct reports, supports proposals and contracts, guides program managers, ensures project quality and timelines, and drives continuous improvement. The role requires extensive A/E/C experience, a Professional Engineer license, commercial multi-site program expertise, and strong leadership and client-facing skills.

Research and advise software engineering leaders on applying AI and agentic capabilities across the software development lifecycle. Develop thought leadership, market analysis, strategic guidance, AI roadmaps, value measurement, ROI frameworks, and executive presentations. Engage clients through briefings, conferences, and sales support while mentoring analysts and improving research processes.

Leads and develops a data engineering team implementing data integrations for partner campuses. Owns implementation approaches, scalable delivery processes, data mapping, validation, reconciliation, quality controls, project health, and capacity planning. Partners with Product, Launch, and Partner Success teams to resolve technical and partner challenges, improve integrations, and support adoption. Provides technical mentorship, design and code reviews, stakeholder communication, and continuous process improvement.

Leads the engineering strategy, architecture, development, operations, and continuous improvement of an enterprise agentic AI foundation. Establishes scalable engineering standards, operating models, governance, and reusable platform services that enable AI products and intelligent workflows. Partners with product, data, infrastructure, security, and business teams to modernize existing systems, guide cross-functional delivery, monitor operations, and communicate priorities, risks, and investment needs to senior leaders. Manages and develops product or engineering leaders while driving measurable business value.

This role involves leading Sales Engineering efforts, developing a high-performing team, refining sales processes, and engaging with customers to meet their technical needs.

You will lead engineering teams, develop managers, hire staff, drive quality, and ensure disciplined processes while representing products to stakeholders.

Lead the development of agentic AI systems at Amex Tech, guiding engineering teams, establishing technical direction, and influencing cross-team initiatives to enhance AI capabilities and improve customer interactions.

Lead and grow an enterprise implementation engineering team delivering mission-critical integrations (voice AI, call routing, emergency services). Stay hands-on coding and architecting solutions, engage with customers, improve onboarding velocity, collaborate across Product/Engineering/Customer Success, manage budget/vendors, and establish operational rigor and on-call coverage.

As Director of Sales Engineering, you will lead and develop a team while collaborating on sales strategies, engaging customers, and optimizing processes to drive growth.

As Director of Product and Engineering, you will lead the Long Stays product segment, driving strategy, product development, and technical direction, while managing a small team to achieve key commercial metrics and enhance customer experiences.

The Director of Engineering Operations will enhance operational effectiveness, drive data-driven decision making, and oversee engineering initiatives to ensure predictable delivery at scale.

Lead multiple global engineering teams to deliver cloud-native SaaS products. Set technical strategy, drive DevOps/CI/CD practices, recruit and mentor leaders, align engineering with product and business goals, and manage budgets and KPIs.

The Senior Director Analyst leads research on software engineering trends, produces content, and advises clients, establishing industry credibility and engaging executives.

Leads and scales the Solutions Engineering function, developing strategy, processes, team capabilities, and performance standards. Partners with Sales, Product, Engineering, and executive stakeholders on complex enterprise opportunities. Oversees discovery, solution design, demonstrations, technical validation, RFPs, business cases, and customer engagements. Advises senior decision-makers, translates technical needs into business value, develops enablement assets, and communicates customer and market insights to influence product and revenue strategy.

Lead and align engineering services to translate customer technical requirements into execution across applications, design, signal/power integrity, simulation, and CAM. Drive operational excellence, continuous improvement, global capacity planning, cross-functional coordination, and accountable delivery of customer commitments while reporting to the CEO.

Lead and grow a Solutions Engineering team across the Americas, drive technical sales strategy, support key accounts with demos and POVs, partner with Sales/Product/Engineering to prioritize customer needs, own regional ARR/NRR and forecasting, recruit and mentor SE leaders, enable channel partners, and build customer adoption programs and collateral.

Leads group-wide software engineering strategy, architecture, standards, code quality, release governance, platform performance, risk mitigation, budgets, and team structure. Manages large insourced and outsourced engineering, quality, and technical teams while mentoring leaders and recruiting talent. Directs development of full-stack applications, event-driven microservices, AI/NLP systems, and front-end experiences. Partners with product, UX, support, and other business units to deliver scalable solutions and continuous improvement.

Lead value engineering for pre-sales: build ROI and profitability models, conduct deep discovery into client workflows and costs, deliver executive briefings, scope and structure deals, create reusable value frameworks and ROI tools, and partner cross-functionally to scale value-selling across the organization.

Lead and grow SQUIRE's Data organization as a player-coach, owning long-term data architecture, building reliable Snowflake pipelines, setting standards for modeling and data quality, hiring and budgeting for a 5+ person team, partnering cross-functionally, auditing integrations, and enabling AI/LLM use cases while remaining hands-on for high-risk technical work.

Lead delivery for the Nebula SaaS platform: run planning, sprint execution, release management, and reliability at scale. Drive cloud platform and architecture modernization, move AI features from prototype to production, hire and develop engineering leaders, and own budget, headcount, and cross-functional partnerships.

Lead delivery for a cloud-based eDiscovery SaaS platform, owning roadmap execution, platform scalability, reliability, AI feature productionization, org design, hiring and development of engineering managers, budget and vendor management, and cross-functional partnership with Product and senior leadership.

Senior engineering leader responsible for architecture, delivery, operations, reliability, and scalability of the enterprise Data Lakehouse. Leads cross-functional teams, defines platform SLAs, cost and quality targets, drives platform adoption and best practices, manages vendor/cloud relationships, ensures regulatory and data security compliance, and enables self-service analytics and AI/ML platform enablement.