1,359 Engineering Manager jobs available for remote work from home. Apply for positions such as AI Engineering Manager (Digital Marketing sphere), Software Engineering Manager , Software Engineering Manager and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Lead and mentor two GenAI teams in developing conversational agents while managing roadmaps and project delivery. Collaborate with cross-functional stakeholders to implement innovative AI-driven solutions and integrate them into the platform.
You will own the mission, execution, morale, and code quality of your engineering team while partnering with product managers to execute the product roadmap. Additionally, you will act as a force multiplier by removing roadblocks, implementing process improvements, and coaching engineers to foster a culture of excellence.
The engineering manager will own the mission, execution, and code quality of their team while partnering with product managers to deliver on the product roadmap. They are responsible for coaching engineers, removing roadblocks, and fostering a culture of excellence and professional growth.
Lead and grow a team of backend engineers to build and maintain scalable, secure, and performant API-driven systems. Partner with cross-functional teams including product, data science, and infrastructure to drive technical direction and ensure operational excellence.
The Software Engineering Manager will lead and mentor high-performing engineering teams while driving the adoption of AI tools to improve development workflows. They will partner with product and design teams to deliver high-quality software solutions while maintaining system reliability and operational excellence.
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You will lead the DevSecOps function and oversee the architecture, security, and operational excellence of the AWS serverless platform. This role involves building automated CI/CD pipelines, ensuring compliance with healthcare standards, and enabling data science teams to deliver AI-driven solutions.
Lead and grow a multidisciplinary team of ML engineers and data scientists to improve the accuracy and reliability of the flagship identification model. Partner with cross-functional stakeholders to drive the product roadmap and translate customer needs into technical priorities.
Lead and mentor a team of engineers responsible for the company's data foundation and ML operations lifecycle. Oversee the reliability and scalability of the internal data warehouse while collaborating with cross-functional teams to drive product outcomes.
Lead, coach, and mentor a team of Security Engineers while driving pre-sales excellence and technical execution. Partner with sales leadership to develop accounts and deliver integrated technical security solutions to customers.
Lead, coach, and mentor the Sales Engineering team while driving pre-sales excellence and technical execution. Partner with sales leadership to develop accounts, deliver technical presentations, and close complex security opportunities.
Lead and scale engineering teams responsible for building agentic and AI-powered product experiences within the Iterable platform. Partner with product, design, and data science leadership to define technical roadmaps and ensure the delivery of scalable, reliable, and secure AI features.
Lead and grow a distributed engineering pod while maintaining hands-on technical contributions to the codebase. Define the technical roadmap, ensure high-quality delivery, and partner cross-functionally to automate insurance verification workflows.
Lead and mentor a team of senior engineers to manage and scale the enterprise AI Gateway, which handles high-throughput LLM traffic. Partner with cross-functional teams to align the platform roadmap with product features and organizational goals.
The TASKI Engineering Manager will lead, coach, and develop the engineering team to ensure high-quality technical service and operational excellence. They will collaborate with cross-functional teams to optimize resources, manage budgets, and drive continuous improvement through data-driven decision-making.
Lead and grow a platform engineering team focused on developer productivity, CI/CD pipelines, and internal tooling. Collaborate with cross-functional teams to build self-service interfaces and AI-powered workflows that streamline developer operations.
You will lead the APIs & Performance team, overseeing backend development and external contractors while driving the migration to a cloud-native microservices architecture. Additionally, you will foster a culture of automation and AI integration to enhance system monitoring, performance, and development workflows.
The manager will lead a unified QA and release organization, establishing repeatable pipelines and delivery-performance metrics across multiple platforms. They will also partner with engineering leadership to align release cadences with product roadmaps and integrate AI-driven testing tools.
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You will own the day-to-day engineering execution, including delivery cadence, backlog management, and proactive unblocking of the team. Additionally, you will focus on developer experience and people development, including 1:1s, coaching, and hiring.
The Senior Engineering Manager will act as a hands-on technical leader, contributing directly to the codebase while managing and mentoring a team of engineers. They will drive technical strategy, improve development processes, and collaborate cross-functionally to ensure the delivery of high-quality, scalable software solutions.
Lead a team of engineers to build and operate Airbnb's media infrastructure, including uploads, AI/ML transformations, and distribution. Set technical strategy and architecture while coaching managers and senior technical leads to ensure platform reliability and scalability.
The Senior Manager will lead a team of software engineers to develop scalable, secure, and high-performance applications while driving engineering best practices. They will collaborate with product and business leaders to align technical execution with company goals and foster a culture of innovation.
Lead end-to-end AI project delivery while building and mentoring a high-performing engineering team. Define technical strategy, establish quality standards, and manage stakeholder expectations for AI system development.
Lead end-to-end AI project delivery while building and mentoring a high-performing engineering team. Define technical strategy, establish quality standards, and manage stakeholder expectations for AI system development.
Lead and mentor a high-performing team of engineers while driving the architectural direction of the AI product. Balance hands-on technical contributions with strategic leadership to ensure reliable, cost-efficient AI systems at scale.
Lead, mentor, and grow a high-performing team of engineers while driving the architectural direction for AI product development. Contribute hands-on to the design, implementation, and optimization of core AI systems including model serving, inference pipelines, and GPU capacity management.
The Senior Team and Delivery Leader is responsible for the disciplinary and functional leadership of engineering teams, including coaching, talent development, and performance management. They oversee technical solutions, ensure high-quality delivery, and align engineering practices with business strategy and technical standards.
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You will define the AI engineering strategy and lead multidisciplinary teams in building innovative, AI-native products. Additionally, you will establish best practices for AI development, including evaluation frameworks and CI/CD processes, while collaborating with stakeholders to drive long-term innovation.
The Engineering Manager will lead and scale the Data and Clinical Integration teams to turn EHR data into actionable insights for health equity. This role involves managing technical roadmaps, fostering team growth, and championing modern AI-assisted engineering practices.
The Engineering Manager will lead and scale the Messaging and Applications teams to drive the technical direction of the core patient engagement platform. Responsibilities include guiding engineering talent, fostering professional growth, and collaborating cross-functionally to deliver reliable, compliant, and scalable product features.
You will lead and grow a full-stack engineering team responsible for delivering end-to-end product features while mentoring engineers and setting technical direction. You will also partner with product management to align engineering work with business objectives and ensure high-quality, predictable delivery.
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