Top Remote Engineering Director Jobs

Leads and scales the global Sales Engineering team while serving as Field CTO and the company’s external technical voice. Owns technical sales methodology, demos, evaluations, proof-of-value cycles, solution design, deployment handoffs, executive engagements, competitive positioning, market content, and field-driven product feedback. The role is a player-coach position requiring deep cybersecurity expertise, executive presence, public speaking, and significant travel.

Leads the Enterprise Platform and Integrations engineering team, including people management, API strategy, partner integrations, technical roadmaps, and operational excellence. Establishes scalable API standards, reusable integration patterns, security and observability practices, and reliable delivery processes. Partners with Product, Operations, Security, Sales, and external partners to deliver complex integrations, improve platform reliability, and support AI-agent access to business capabilities.

Leads Optum Growth’s AI/ML engineering strategy, roadmap, and enterprise delivery. Builds and scales teams developing generative AI, agentic AI, intelligent CRM agents, data platforms, and AI-enabled business applications. Partners with executives and product organizations to transform sales, marketing, client engagement, proposal management, and operational workflows. Oversees responsible AI, governance, privacy, cybersecurity, compliance, model monitoring, and measurable business value realization.

Leads the Data Products engineering pillar, owning clinical data ingestion, canonical modeling, pipeline scalability, observability, and enterprise reporting foundations. Manages engineering teams and cross-functional delivery while advancing AI-assisted software development practices. The role requires building reliable, scalable data platforms for regulated healthcare environments, improving data quality and readiness, and translating technical strategy into business outcomes.

Leads architecture and delivery of an AI-enabled claims orchestration platform connecting AI agents, rules, workflows, RPA, validation, observability, and human escalation. Builds reusable integration standards and durable execution patterns, partners with technology and business stakeholders, and recruits and coaches a team of 5–20 AI/ML and automation engineers. Remains hands-on while translating emerging AI capabilities into secure, scalable production solutions for claims operations.

Leads a span of approximately 20 engineers while shaping hiring, onboarding, career development, staffing, and engineering enablement across the AI practice. The role is also approximately 50% billable client delivery, providing executive advisory on AI software development lifecycles, governance, agentic deployments, MLOps and LLMOps pipelines, cloud platforms, observability, and production resilience. Requires extensive engineering leadership, organizational scaling, consulting, GCP, and production AI/ML deployment experience.

Leads Engineering Operations by building the operating system connecting Product, Engineering, and Data strategy to measurable outcomes. Owns executive reporting, KPI and OKR definition, portfolio planning, software delivery reviews, capacity and headcount planning, risk and dependency tracking, and cross-functional decision-making. Partners with senior leaders across technology and business functions to improve delivery predictability, accountability, resource allocation, and organizational effectiveness.

Lead and scale multiple product engineering teams while remaining hands-on with code and architecture. Manage engineering leaders, guide architecture and reliability decisions, review and write code, align priorities with product and customer outcomes, and deliver product and AI capabilities on seasonal deadlines. The role evolves from an approximately even technical and leadership split toward predominantly organizational leadership.

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.

Lead the Data Products engineering pillar owning technical strategy, clinical data ingestion, canonical modeling, and scalability. Manage ingestion pipelines, customer onboarding, data hygiene, observability, and enterprise reporting. Drive AI-augmented SDLC adoption, ensure regulatory compliance (HIPAA, SOC 2), hire and mentor engineering leaders, and partner with product and data science to deliver a stable, scalable clinical data platform that supports multi-customer growth and clinical insight generation.

Own the architecture, roadmap, and production operation of Podium’s AI agent platform. Lead engineers building orchestration, tool use, memory, reasoning, evaluation, safety, and reliability systems for customer-facing agents. Drive capabilities from prototype to scale, optimize latency, cost, and quality, and partner with Product, Infrastructure, and customer teams. Establish engineering practices for testing and responsible deployment while representing AI Agents engineering in leadership decisions.

Leads AI engineering teams responsible for foundational AI infrastructure, including model access, LLM inference, optimization, guardrails, evaluation, governance, observability, and cost management. Oversees development and deployment of scalable AI systems, makes build-versus-buy decisions, establishes technical vision, applies advanced research, and develops high-performing engineering talent.

Leads distributed engineering organizations across Risk and Performance, setting technical strategy, aligning priorities with product goals, and ensuring secure, scalable, high-quality software delivery. The role manages leaders, multiple product areas, cross-team dependencies, stakeholder expectations, technical direction, organizational growth, and customer incident resolution. It partners with Product, Design, Business, and Architecture teams while fostering innovation, accountability, collaboration, and continuous improvement.

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

Leads multiple product engineering squads, owning delivery, architecture, technical priorities, production quality, security, scalability, staffing, hiring, retention, performance management, and team health. Partners with Product and cross-functional stakeholders to align engineering work with business goals, resolve delivery blockers, improve processes and tooling, and manage major technical decisions. Requires hands-on experience with demanding architectures and the ability to work across React, Python, AWS, and MongoDB technology stacks.

Directs software engineering teams developing internal and customer-facing insurance applications. Establishes coding standards and development methodologies, oversees architecture and scalability, manages delivery timelines, and leads Technical Leads and Software Engineers. Requires hands-on Java and full-stack development, Guidewire implementation expertise, SaaS experience, people management, and property and casualty insurance knowledge.

Lead architecture and delivery of a composable, API-first Core Commerce Platform powering checkout, payments, OMS, inventory availability, loyalty, and post-order experiences. Drive integration of packaged solutions (SFCC, Fluent Commerce), payments, social and agentic commerce, and AI-native capabilities. Own SLAs, reliability, security (PCI-DSS), roadmap, and engineering standards while building and leading high-performing, on-site platform teams.

Lead development of an enterprise Agentic AI platform, cloud deployment frameworks, and autonomous workflows. Manage 35+ engineers and multiple technical leaders while overseeing architecture, delivery, hiring, budgets, customer implementations, cloud modernization, observability, security, compliance, AI governance, and technical proofs of concept. Collaborate with product, business, executive, and customer teams to align requirements and engineering outcomes across AWS, Azure, and Google Cloud.

Leads the multidisciplinary Integrated Sensor engineering organization across hardware, embedded and edge software, cloud platforms, and distributed systems. Sets technical strategy, architecture, engineering standards, and product delivery processes while scaling reliable systems for nationwide field deployment. Responsibilities include recruiting and developing engineering leaders, coordinating hardware and software development, improving testing and operational resilience, resolving field issues, and partnering with Product, Deployment, Data Science, and company leadership.

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.

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.

Leads and mentors a 5–10-person software engineering team while remaining hands-on with production coding, architecture, APIs, integrations, automation, and cloud applications. Establishes engineering and AI-assisted development standards, improves CI/CD, testing, security, reliability, monitoring, and observability, and guides technical strategy. Partners with business leaders, recruits and develops talent, evaluates emerging AI technologies, and delivers scalable solutions primarily on Microsoft Azure using modern AI tools and LLM platforms.

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.

Lead the MLOps engineering team and roadmap supporting large-scale machine learning training and inference. Oversee cloud infrastructure, Kubernetes, distributed systems, observability, data pipelines, and inference modernization. Manage engineers, budgets, and cloud costs while partnering across machine learning, data science, product engineering, and infrastructure. Drive platform scalability, build-versus-buy assessments, stack refreshes, production reliability, and adoption across the organization.