Top Remote Engineering Manager Jobs in Minneapolis, MN

Leads and grows a distributed software engineering team building a scalable cloud data and analytics platform. Owns architecture, data modeling, technical delivery, roadmaps, product collaboration, agile planning, quality standards, security alignment, vendor relationships, and engineering KPIs. The role remains hands-on with coding, code reviews, documentation, data architecture, deployment, and development of SaaS data products using Azure or AWS, Microsoft Fabric or Snowflake, and Power BI.

Leads and mentors cross-functional engineering teams building and operating distributed, API-driven, cloud-native platforms. Owns technical strategy, architecture, delivery outcomes, engineering excellence, operational reliability, and API lifecycle governance. Drives Agile, DevOps, cloud migration, observability, and incident management practices. Establishes responsible AI adoption across software development and guides delivery of AI-enabled products, including agentic solutions, with appropriate evaluation and controls.

Leads multiple engineering teams developing customer-facing web applications, APIs, and services for DNS and IP Acceleration products. Responsibilities include people development, technical direction, delivery planning, dependency and risk management, architecture oversight, operational readiness, cross-functional collaboration, and continuous improvement. The role requires balancing technical leadership with accountability for product outcomes across established products and new capabilities.

Manage and grow a product engineering team at a remote cloud cost-management software company. Lead prioritization, delivery, quality standards, recruiting, and cross-functional collaboration with product, design, and leadership. Help engineers ship customer-focused features spanning spend management, interfaces, data pipelines, visualizations, and application performance. Coach engineers, remove blockers, promote ownership, and guide tradeoffs between velocity and quality.

Lead a new data engineering team to define standards, drive cross-functional AI-driven initiatives, and provide hands-on guidance in SQL optimization, data modeling, and the GCP data/streaming stack. Balance technical leadership with people management, coach engineers, promote AI-assisted workflows, and collaborate with Product and Architecture to build a standardized data ecosystem.

Leads a distributed frontend engineering team responsible for Firefox Desktop user interface improvements. The manager drives technical decisions, project delivery, quality, monitoring, maintainability, engineering processes, hiring, mentoring, feedback, and team development. They collaborate with Product, UX, QA, Operations, and Data Science, manage risks and trade-offs, communicate with senior leadership, and deliver user-facing experiences across concurrent initiatives.

Leads and mentors a team of 4–6 engineers while contributing code and providing technical direction. Owns agile rituals, production feature delivery, technical architecture, performance, scalability, reliability, observability, and technical debt reduction. Partners with product and design teams, supports enterprise customers, and drives adoption of AI throughout software development. The role focuses on healthcare software, patient data collection, regulatory compliance, benchmarking, and integrations using HL7 and FHIR.

Leads DevOps engineering teams and manages cloud infrastructure and foundational services across AWS, GCP, and Azure. Oversees infrastructure as code, Kubernetes, CI/CD pipelines, scalability, reliability, cost optimization, monitoring, troubleshooting, and cloud security. Partners with product, engineering, and security stakeholders while mentoring engineers and driving continuous improvement and modern DevOps practices.

Leads a quality engineering team while remaining hands-on with AI-powered test automation across API, UI, integration, and end-to-end workflows. Evaluates AI tools, improves test frameworks and regression efficiency, supports release readiness, analyzes defects, tracks quality metrics, and partners with Engineering, Product, DevOps, and Release teams. Coaches employees on AI-native quality practices, prompt engineering, responsible AI use, and evaluating AI-generated tests.

Lead a Reliability Platform Engineering team to build operational intelligence, observability, and AI-driven tooling that improves production availability, resiliency, and operational governance. Partner with Platform, SRE, Infrastructure, and Product teams to define reliability standards, prioritize investments, and deliver scalable reliability and automation solutions.

Lead multiple teams in building production quality AI systems, ensuring reliable delivery and effective people management while establishing standards and practices.

Lead and grow a high-performing engineering team, partner with stakeholders to ensure the right problems are solved, guide technical decisions and architecture, improve processes and remove bottlenecks, balance long-term investments with near-term delivery, and foster ownership and continuous improvement in a remote, distributed environment.

Leads large-scale cluster deployment from rack delivery through production acceptance, including network bring-up, cabling verification, GPU-fabric integration, validation, burn-in, and RCCL performance testing. Manages deployment engineers across concurrent builds, improves deployment velocity, establishes operational playbooks and acceptance gates, coordinates with data center teams and vendors, and drives defect resolution across network, cabling, and hardware partners.

Lead and scale the engineering team, hire engineers, set technical direction, ensure engineering excellence, and foster a high-performance culture.

As an Engineering Manager, you'll lead and develop an engineering team, ensuring technical quality, fostering growth, and guiding product initiatives, while utilizing AI effectively.

Lead and grow a platform engineering team to build and operate reliable, scalable cloud platforms and developer infrastructure. Hire and develop engineers, drive technical vision, participate in product strategy, and contribute to cross-engineering initiatives. Ensure operational excellence across Kubernetes, IaC, CI/CD, observability, networking, identity, compute, and storage at scale.

Lead and grow a backend/infrastructure engineering team building the Experimentation product. Partner with PM and Design to plan and deliver features, collaborate with adjacent teams on shared infrastructure, improve reliability and observability, drive incident response and operational excellence, and participate in hiring and career development for engineers.

Lead a multi-team engineering organization responsible for delivery, technical quality, production reliability, security, privacy, and AI-native development practices. Build scalable teams and managers, establish cross-team delivery systems, partner with Product and Design, oversee observability and incident response, use engineering metrics to guide improvements, and shape hiring, leveling, and talent development.

Leads engineering teams responsible for Twilio’s Porting, Hosting, and A2P Messaging products. Owns roadmap delivery, architecture collaboration, reliability, incident response, security, AI-assisted development, stakeholder alignment, and operational tooling. Recruits, develops, and retains a high-performing engineering organization while balancing customer commitments, platform needs, and operational investments.

Lead and grow engineering teams building blockchain and Web3 products. Drive technical strategy, architecture, delivery, quality, hiring, mentoring, and engineering processes to ensure reliable product delivery and team scaling.

Lead a team of Technical Solutions Engineers to triage, diagnose, and resolve production issues across Bestow's platform. Own support queue, incident command, SLAs, runbooks, automation, observability, and partner escalation while contributing ~20% production-level code and converting recurring issues into funded roadmap work.

Leads a platform engineering team responsible for foundational services supporting Alteryx products. Manages hiring, coaching, performance, career development, delivery, quality, operational readiness, and team culture. Translates strategy into priorities and execution plans, manages risks and dependencies, provides technical guidance on scalable backend and platform systems, and partners with Product, Architecture, Security, SRE, and senior leadership to deliver reliable capabilities.

Leads backend engineering teams responsible for policy, billing, and financial ledger platforms. Provides technical architecture guidance, coaches engineers, manages performance, and drives scalable, secure, high-performing systems. Partners with Product and Program Management on delivery, improves engineering processes, oversees sprint and roadmap planning, models capacity, manages resources, and aligns technical execution with business goals.

Leads a full-stack engineering team developing customer-facing SaaS products across web, mobile, backend, and AI systems. Owns engineering strategy, architecture, reliability, security, privacy, delivery planning, product health, and measurable customer outcomes. Partners with Product, Design, and customer-facing teams to define and ship products, uses production data to guide priorities, and hires, develops, and manages engineering talent.

Leads a software engineering team building backend services, APIs, and product integrations. Responsibilities include people management, technical direction, architecture reviews, delivery planning, vendor coordination, API and integration standards, testing, observability, release readiness, and production support. The manager partners with Product, DevOps, QA, Security, Program Management, customers, and external technology vendors to deliver secure, scalable, and reliable software.