Top Remote Engineering Director Jobs

Leads GitLab’s Database Excellence organization, setting strategy for PostgreSQL and other application datastores. Owns database reliability, capacity, availability, sustainability, infrastructure costs, and platform standardization. Manages three Engineering Managers, develops technical leaders, oversees hiring and organization design, establishes objectives and KPIs, manages budgets, partners cross-functionally on platform investments, and serves as an escalation point for database incidents and operational processes.

Leads multiple software engineering teams and defines enterprise technology strategy, architecture standards, and platform roadmaps. Partners with product and executive leaders to deliver scalable full-stack solutions, improve engineering practices, and ensure system resilience. Responsibilities include talent development, succession planning, architectural governance, Agile delivery, AWS deployments, and innovation involving distributed systems, machine learning, and agentic AI tools.

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 a 45+ person AI/ML engineering organization responsible for designing, deploying, and scaling enterprise AI solutions. Drives responsible AI, architecture, cloud-native modernization, automation, software quality, CI/CD, security, reliability, and operational excellence. Oversees hiring, talent development, performance, retention, compensation, stakeholder alignment, and strategic innovation across large-scale healthcare technology platforms.

Leads an eight-person analytics engineering team and sets strategy for trusted semantic models, governed data, enterprise BI, AI-powered data access, and production data applications. Oversees data modeling, evaluation datasets, telemetry, LLM routing, governance, security, and self-service capabilities. Partners cross-functionally to establish engineering standards, roadmaps, and measurable business impact while hiring, coaching, and developing team members.

The Director of Field Sales Engineering leads a team focused on incubating new products, driving adoption, and ensuring cross-functional collaboration to deliver technical value to customers.

Leads enterprise AI engineering strategy and multi-team delivery of scalable, responsible AI systems. Oversees foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, observability, and production optimization. Establishes responsible AI standards, makes technology decisions, develops long-term platform roadmaps, partners with research and risk teams, and attracts and mentors engineering talent.

Leads approximately 35 engineers across data engineering, integration engineering, and integration support. Owns delivery predictability, manager development, operational reliability, SLA performance, data platform modernization, integration scalability, and organizational clarity. Partners with product, data science, commercial, and delivery teams while overseeing healthcare integrations with EHR systems, enterprise data infrastructure, incident management, and client-facing reliability commitments.

Leads the Legal Engineering organization, overseeing engineering managers, software engineers, architects, contractors, and interns. Owns delivery, architecture, reliability, quality, integrations, and interoperability across legal technology platforms, including contract lifecycle management, document management, eBilling, intellectual property, eDiscovery, and AI workflows. Partners with Legal, Product, Cyber, and executive stakeholders while managing incidents, defects, SLAs, data integrations, and team development.

Leads platform engineering across learner and enterprise products, setting architecture direction, integrating AI and data capabilities, managing engineering managers and teams, and improving quality, reliability, security, accessibility, and delivery. Partners with product, design, IT, cloud operations, sales, and executives on strategy, planning, budgets, and enterprise SaaS outcomes.

Lead the engineering organization responsible for large-scale generative AI training infrastructure, including distributed training, reinforcement learning, GPU scheduling, fault tolerance, model experimentation, and cost governance. Define AI platform strategy, responsible AI standards, observability, governance, and long-term roadmaps. Partner with research, product, compliance, and risk teams while hiring, mentoring, and developing technical talent across multiple teams.

Leads the Cloud Detection Platform organization, strategy, architecture, roadmap, and multiple engineering teams. Owns large-scale detection engines, content delivery infrastructure, reliability, latency, cost, SLOs, capacity, and quota management. Drives unified detection architecture, safe content deployment, testing, observability, and cross-functional roadmap execution while managing organizational planning, talent development, and operational excellence.

Lead Attentive’s cloud platform organization, overseeing AWS infrastructure, Snowflake and centralized data platforms, database infrastructure, DevOps, and cloud cost optimization. Set technical strategy, improve reliability and operational standards, lead migrations, build self-service developer workflows, and develop engineering managers and technical leaders. Partner across Engineering, Product, Finance, and Developer Experience to improve infrastructure efficiency, scalability, security, and delivery speed.

Leads the engineering organization responsible for modeling, rendering, simulation, distributed computing, and quality. Owns platform roadmap execution, manages engineering managers, accelerates AI-assisted software development, improves delivery and testing processes, and balances zero-to-one product development with ongoing releases. Partners with Product and represents platform engineering to company leadership. Requires deep technical credibility and a proven record of organizational transformation, product delivery, and engineering leadership.

Lead multiple software engineering teams and define enterprise technology strategy, architecture standards, and scalable full-stack platforms. Partner with product and executive leaders to deliver customer-focused capabilities, improve engineering practices, and oversee resilient AWS deployments. Drive talent strategy, succession planning, mentoring, recruiting, and professional development while ensuring delivery velocity, system availability, and technical innovation across the organization.

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 solution engineering and customer support operations for a digital health data platform. Responsibilities include building distributed engineering and support teams, leading technical pre-sales, designing customer data solutions, managing architecture and handoffs, owning post-launch support and incident resolution, establishing SLAs and operational metrics, overseeing vendors and budgets, and partnering with Product and Platform Engineering to improve reliability and reduce support demand.

Leads a 45-person global InfraOps organization spanning infrastructure, datastores, service desk, incident support, platforms, suppliers, governance, and FinOps. Owns operating model, organizational design, service delivery, budgets, workforce planning, vendor management, compliance, risk mitigation, cloud strategy, and operational resilience. The role emphasizes functional leadership, people development, commercial accountability, and predictable support services rather than direct technical authority.

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.

Provides technical leadership for a platform initiative by defining architecture, scalability, and long-term engineering strategy. Designs APIs, data pipelines, integrations, and distributed services; leads complex initiatives; manages dependencies and cross-functional execution; improves reliability, observability, and operational efficiency; evaluates technical risks and emerging technologies; and influences product roadmaps and technical direction across teams.

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 data engineering teams while designing and optimizing scalable batch and real-time data pipelines on cloud platforms. Responsibilities include developing PySpark and Spark workflows, orchestrating Airflow DAGs, managing cloud infrastructure, implementing CI/CD, improving data quality and performance, and mentoring engineers. The role collaborates with clients, product, architecture, and program management teams, while applying generative AI and DevOps practices to improve engineering productivity and operational efficiency.

Leads complex data engineering and analytics initiatives supporting pharmaceutical manufacturing and technical operations. Designs data pipelines, data flows, curated datasets, and scalable analytics solutions; improves data quality and accessibility; translates business needs into technical requirements; and drives adoption across scientific, manufacturing, engineering, and digital teams. Independently manages workstreams, stakeholders, risks, dependencies, prioritization, and value realization in a regulated environment.

Leads Cribl’s AMER Solutions Engineering organization, including SE managers and engineers. Owns technical presales strategy, talent development, enterprise proof-of-value execution, platform selling, quota support, cloud expansion, and cross-functional collaboration. The role develops sales plays, improves technical sales operations, coaches teams on multi-product and consultative selling, presents to executives, and partners with Sales, Customer Success, Product, Engineering, Marketing, and channel teams. Occasional work outside standard hours and approximately 30% travel are required.