Top Remote Software Engineering Manager Jobs

Lead NVIDIA’s RL post-training frameworks strategy and engineering ecosystem across distributed training, inference, rollout, evaluation, orchestration, and NVIDIA platforms. Build and manage globally distributed teams, prioritize upstream and internal investments, establish benchmarks and execution metrics, and drive reliable open-source integrations. Partner with research, product, hardware, CUDA, networking, and external communities to scale reinforcement learning workloads across GPUs and heterogeneous systems.

Leads software engineering teams developing the Health100 consumer health platform. Responsibilities include architectural leadership for distributed systems, APIs, and AI-enabled capabilities; recruiting and mentoring engineers; managing initiatives through delivery and production operations; establishing performance, risk, and governance practices; and partnering across product, design, security, analytics, and business teams. The role emphasizes Java, cloud-native development, microservices, Generative AI, intelligent automation, and scalable platform solutions.

Leads the software engineering team responsible for client asset reporting and Sales Technology platforms. Oversees architecture, development, modernization, reliability, security, operational support, and delivery of business-critical applications. Hires, coaches, and develops engineers; establishes technical direction; prioritizes work using data and metrics; manages engineering risks; and communicates priorities, performance, and tradeoffs to senior stakeholders. The role requires hands-on C#/.NET, SQL Server, and Snowflake experience, with AI-assisted engineering knowledge preferred.

Leads and scales engineering teams delivering customer-facing mobile and backend software. Responsibilities include technical leadership, architecture, project delivery, Agile/Scrum execution, roadmap planning, KPI-driven improvement, AI-assisted engineering adoption, stakeholder communication, recruiting, and cross-functional alignment. The role remains technically engaged while coaching engineers and supporting high-quality, reliable software delivery. Occasional travel to offices, conferences, events, meetings, and team-building activities is required.

Manages and grows a software engineering team while remaining hands-on in architecture, development, integration, and troubleshooting. Leads cloud-native AWS services, microservices, APIs, Python backend systems, frontend components, secure access controls, CI/CD, and production support for satellite communications ground systems. Collaborates with systems engineering, MBSE, cybersecurity, testing, DevSecOps, and government stakeholders to deliver secure, scalable, traceable, and reliable mission software.

Leads the architecture, development, integration, and production support of Legal Technology platforms. This hands-on manager spends approximately 80% of the role coding, designing cloud-native systems, building APIs and integrations, applying Generative AI and LLM technologies, and ensuring reliability, security, and performance. The role also includes mentoring engineers, managing vendors, planning resources, defining operational metrics, and partnering with Legal, Compliance, and Technology stakeholders.

Leads the Finance Technology AI Enablement engineering team, setting technical strategy and delivering AI, ML, and GenAI solutions. Responsibilities include managing and mentoring engineers, translating business needs into technical roadmaps, overseeing concurrent initiatives, establishing scalable architecture and DevOps practices, and ensuring governance, security, privacy, and compliance. The role also advises stakeholders on AI adoption, enables low-code and full-stack solutions, and reports program value and risks to senior leadership.

Leads software engineering teams, develops technical and people leaders, modernizes legacy customer-facing applications, and advances engineering practices. Partners with product, architecture, quality, DevOps, delivery, and business stakeholders to improve reliability, security, customer experience, adoption, and delivery speed. Drives CI/CD, automation, observability, resilience, cloud-native practices, and responsible adoption of AI-assisted software development while managing priorities, risks, dependencies, capacity, and organizational change.

Leads multiple software engineering teams and their managers, setting technical direction, delivery priorities, engineering standards, and roadmaps. Builds talent, manages staffing and budgets, drives quality, reliability, security, DevOps, automation, and operational excellence. Partners with stakeholders to deliver scalable solutions, integrate teams, manage risks and dependencies, and responsibly adopt AI-assisted development practices.

Leads engineering teams delivering scalable, reliable software for Fanatics’ mobile app and internal platforms. Responsibilities include technical leadership, architecture, roadmap planning, project execution, Scrum facilitation, KPI-driven improvement, stakeholder communication, blocker removal, recruiting, and cross-functional collaboration. Requires engineering management experience, scalable systems expertise, strong communication, analytical ability, and Agile/Scrum familiarity. Occasional travel is required.

Leads software engineering delivery for a healthcare plan sponsor domain, overseeing 2–3 Scrum teams, technical roadmaps, architecture, risk management, production issues, dependencies, and monthly deployments. Manages direct reports, partners with product and business stakeholders, drives modernization and AI adoption, and ensures secure, high-quality delivery using cloud, DevSecOps, and modern application technologies.

Leads engineering teams responsible for Blackbaud’s enterprise Data and AI platform. Owns lakehouse architecture, ingestion, transformation, feature services, ML enablement, reliability, governance, security, cloud migration, and cost optimization. Establishes technical strategy, roadmaps, metrics, and operational standards while partnering with Product, Data Science, Analytics, Architecture, and Security. Hires, mentors, and develops platform engineers and influences data and AI engineering practices across the organization.

Leads and develops backend software engineering managers and technical teams, establishes development metrics and delivery processes, and drives high-quality product releases. Partners with design and business teams on customer-centered experiences, facilitates cross-functional planning, mentors employees, improves engineering practices, and supports long-term organizational and product goals.

Lead the full Computer Backup engineering organization across desktop and backend teams. Set technical direction, architecture, delivery strategy, roadmap priorities, budget, and engineering quality standards. Manage managers and distributed teams while participating in architecture reviews, code reviews, and technical problem-solving. Ensure reliability, performance, testing, and maintainability, improve agile processes and productivity, and promote AI-assisted development practices. Partner with product and senior leadership on scope, risks, trade-offs, customers, and long-term organizational decisions.

Manages the Marketplace Performance software engineering team, setting technical strategy and delivering business-critical backend and consumer marketplace systems. Partners with product, design, analytics, revenue, and merchant teams; oversees system reliability, monitoring, testing, on-call operations, and technical standards. Develops engineering talent, drives quality and ownership, and contributes to Affirm’s ads platform and marketplace monetization initiatives.

Leads Salesforce engineering strategy, architecture, development, integrations, DevOps, security, and platform modernization. Manages and mentors engineering teams, establishes technical standards, oversees delivery and release practices, partners with business and technology stakeholders, manages vendors and resources, and drives scalability, reliability, governance, and engineering performance across the Salesforce ecosystem.

Leads the strategy, architecture, development, implementation, integration, DevOps, security, and support of the Microsoft Dynamics 365 Finance & Operations platform. Builds and manages engineering teams, oversees implementations and modernization, establishes technical governance, manages budgets and vendors, and partners with business and technology leaders. Ensures platform scalability, reliability, compliance, delivery quality, and continuous improvement across enterprise ERP operations.

Leads software engineering teams delivering complex Pega projects and case management solutions. Oversees feature planning, scope, risks, dependencies, quality, and delivery timelines. Manages hiring, onboarding, performance, mentoring, code reviews, and continuous improvement. Collaborates with stakeholders to develop automation solutions, applies Agile principles, and promotes responsible AI-assisted development.

Leads software engineering teams and resources, overseeing talent development, workforce planning, delivery execution, quality, security, and operational performance. Partners with Product, Architecture, Security, Operations, and business stakeholders to deliver scalable enterprise software. Drives Agile practices, DevSecOps, engineering standards, modernization, technical debt reduction, risk management, and continuous improvement while managing staffing, vendors, budgets, and cross-functional relationships.

Leads software engineering teams and enterprise application portfolios supporting sales execution, order management, CRM, ERP, and integrations. Owns solution strategy, architecture, delivery, roadmaps, application stability, security, testing, releases, budgets, vendors, and service performance. Partners with business and technology stakeholders to prioritize capabilities, manage risks, drive modernization, ensure adoption, and develop high-performing teams.

Lead and scale an AI Search engineering team building embedding models, vector indexing, and indexing pipelines for semantic search. Define strategy and roadmap, oversee cross-team delivery, mentor engineering leaders, ensure model lifecycle and indexing reliability, and align technical vision with product and data science to deliver secure, production-grade semantic search capabilities.

Leads SAP S/4HANA Record-to-Report technology strategy, engineering, delivery, support, and continuous improvement. Oversees software engineering and support teams supporting General Ledger, Accounts Payable, Fixed Assets, Tax, Product Costing, Project Systems, and Vendor Invoice Management. Partners with Finance, IT, and business stakeholders, manages implementations and integrations, improves service delivery, ensures technical quality and compliance, and develops team talent and vendor relationships.

Leads the FastAuth software engineering team, owning delivery, technical direction, team health, hiring, performance management, career development, and organizational planning. The role oversees multiple concurrent workstreams using React, TypeScript, .NET, Azure, and event-driven integrations. It requires cross-functional collaboration, scaled agile planning, data-driven delivery management, stakeholder alignment, and adoption of AI tooling. Healthcare, pharmacy, payer, prior authorization, and FHIR experience are preferred.

Leads Samsara’s globally distributed Core Infrastructure team, combining people leadership with technical strategy across compute, networking, storage, cloud systems, reliability, and efficiency. The manager will develop engineers, establish ownership, improve operational health, lead modernization and disaster-recovery initiatives, build automation and self-service infrastructure, and coordinate with engineering and security leaders. The role requires 8+ years of software engineering experience, including at least two years managing software or infrastructure engineers.

Leads software development teams through design, development, testing, deployment, and delivery. Oversees resource planning, capacity management, schedules, dependencies, quality, roadmaps, and cross-functional coordination. Provides technical leadership, coaching, and mentoring while promoting consistent engineering practices and AI-enabled development. Requires experience managing software teams, Java or .NET, CI/CD, Jira, Confluence, SaaS or cloud environments, and software delivery execution.