Top Remote Engineering Manager Jobs in Los Angeles, CA

Leads a 2–4 person engineering team while remaining hands-on in a TypeScript codebase. Owns delivery planning, performance management, career development, technical contributions, incident response, team health, quality, and compliance. Partners with Product, Design, and engineering teams to translate strategy into reliable software, manage risks and dependencies, remove blockers, and improve productivity through AI-enabled engineering practices.

Lead Apollo’s Rep Experience engineering team building prospecting, account management, task orchestration, dashboards, and AI-driven recommendations. Responsibilities include technical decision-making, architecture, planning, coding mentorship, hiring, people management, on-call sustainability, estimation, process improvement, and cross-functional collaboration with Product, Design, GTM, and engineering leadership.

Leads a team of 5–10 engineers building real-time market data and analytics infrastructure for trading systems. Owns technical strategy and roadmap, drives delivery, ensures data accuracy, reliability, low latency, and scalability, and partners with Product and engineering teams. Responsibilities include hiring, coaching, developing senior engineers, maintaining engineering standards, and delivering index pricing, market data ingestion and distribution, and funding rate computation systems.

Lead and mentor the software engineering team responsible for PSA Set Registry, a large-scale consumer web and mobile product. Drive architecture, development, delivery, code quality, release management, production troubleshooting, and technical strategy. Partner with product, design, and business teams to translate requirements into scalable solutions while promoting agile practices, collaboration, continuous learning, and an inclusive engineering culture.

Leads more than 10 engineers across Agent Tools, Agent Observability, and Runner Execution. Responsibilities include hiring, coaching, prioritization, technical design, AI tool standards, safe agent execution, sandboxing, observability, and cross-functional partnership across GitLab’s AI organization.

Leads a full-stack engineering growth pod, owning its roadmap, delivery quality, team culture, hiring and career development. The manager remains hands-on by writing and reviewing code, shaping architecture, coaching engineers, and participating in technical decisions. The team rapidly experiments with product experiences, using data-driven insights to help people discover and understand Atticus services. The role partners closely with product, design, and data science while operating in an ambiguous, resource-constrained startup environment.

Lead and grow the engineering team owning the warehouse management system (WMS), vault, and fulfillment platforms. Ensure reliability, scalability, security, and integrations; partner with product; provide architectural guidance; champion AI/LLM tooling; establish operating standards, incident response, and observability; recruit and mentor engineers and technical leads.

Lead and grow a team of engineers building account and transaction history infrastructure. Drive re-architecture for scale, own internal developer tools and dashboards, shape distributed systems and streaming pipeline architecture, coordinate roadmaps with product and finance, and own hiring, SLA accountability, incident response, and on-call practices.

The Engineering Manager will lead a team developing web applications and AI tools, optimizing product-led growth strategies and enhancing the developer experience.

The Engineering Manager will oversee the Backend Platforms team, managing engineering talent, shaping strategies, ensuring platform reliability and performance, and guiding architectural decisions across multiple workstreams.

Lead an engineering pod of 6–8 engineers, owning people management, delivery, operating cadence, onboarding, staffing, and cross-functional partnerships. Partner with Product and Technical Leads to prioritize valuable work, manage technical and quality risks, improve execution, and support engineer growth. Maintain enough technical depth to evaluate designs and contribute as an IC when appropriate. Surface risks, manage dependencies, and build a healthy, autonomous, high-performing team in a remote-first AI-native environment.

Lead a full-stack engineering team for core Enterprise product development, balancing management with technical contributions in a remote-first setting.

Lead and grow a frontend platform team owning Zocdoc's accessible React component library and design system. Define roadmap and technical strategy, drive adoption across web and mobile, institutionalize accessibility and quality, mentor engineers, partner with UX/Product/Analytics, and deliver platform improvements that speed frontend and mobile development.

Lead and grow a hands-on Maps & Search engineering team owning home search across web and mobile. Set technical direction, contribute to code, and scale a high-throughput search platform (~1B monthly requests). Improve relevance, latency, and reliability, integrate AI/LLMs into discovery and ranking, and drive delivery from roadmap through incidents and production operations.

Lead engineering team to develop AIPerf, an open-source benchmarking tool for LLM inference performance, while overseeing technical direction and mentoring engineers.

Lead and grow the Product Engineering team to deliver customer-facing web dashboards, APIs, integrations, and AI workflows. Own roadmap execution, collaborate with Product and Design, drive engineering best practices (testing, deployment, observability), provide technical mentorship, and remain hands-on in architecture and code reviews to ensure high-quality, scalable SaaS product delivery.

Lead and manage software engineering teams: run agile processes, design and ship secure scalable APIs and services, guide architecture, manage technical debt, recruit and mentor engineers, and align work with company objectives.

Leads multiple engineering teams delivering AI-powered data connectivity solutions. Owns execution, delivery, technical direction, operational reliability, and cross-team coordination. Develops engineering talent through coaching, hiring, and performance management while partnering with Product and Engineering leadership on priorities and organizational planning. Guides architecture, cloud-native development, incident response, SLOs, and AI-assisted software development practices. Requires strong Java/Kotlin expertise, cloud architecture experience, and technical judgment across distributed systems.

Lead two Payments engineering teams through platform modernization, including decoupling payment capabilities from business logic, improving observability, performance, reliability, and operational health. Manage engineering managers and individual contributors, guide technical direction with senior engineers, own third-party payment integrations, and partner with Product and Commercial on payment capabilities and priorities. Drive cross-team initiatives, develop talent, and balance product delivery with foundational architecture investments.

Lead and mentor a team of full-stack engineers to define strategy, roadmap, and measurable goals. Collaborate with Product, Data Science, Operations, and executives to deliver scalable, high-availability services. Make technical tradeoffs, hire and retain talent, apply AI tools responsibly, and ensure code correctness, security, and production quality while executing large, complex initiatives.

Lead a compliance and risk engineering pillar to design, deliver, and operate regulatory automation, AI/ML, and risk-control platforms. Own roadmap, reliability, incident and defect management, stakeholder communication with Legal/Cyber/Compliance, and hiring and growth of software and quality engineering teams across global jurisdictions.

Lead and grow a Data Foundations engineering team building high-throughput, reliable data platforms. Drive architecture and delivery for ingestion, buffering, enrichment, replication, storage, and query layers (ClickHouse, CDC, event streaming), ensure operability across SaaS/Dedicated/Self-Managed/Cells deployments, hire and coach engineers, and collaborate cross-functionally to deliver customer-facing reporting and search capabilities.

Lead and grow Vanta’s App Primitives engineering team, overseeing hiring, team health, delivery, and senior engineer development. Own the strategy and roadmap for shared infrastructure including comments, notifications, event logs, feature flags, and task management. Set full-stack technical direction, define interfaces between platform and product teams, manage cross-team dependencies, and partner with engineering, product, and design leaders to deliver scalable infrastructure.

Lead the ToastNow engineering team in delivering high-quality native mobile experiences for restaurant operators. Drive planning, execution, cross-functional collaboration, backlog development, production quality, monitoring, and issue resolution. Hire, mentor, and develop engineers while fostering diverse, high-performing teams. Champion AI tools and practices to improve development speed, quality, and team velocity.

The Lead Architect will develop backend services, oversee integration with imaging facilities, set coding standards, mentor engineers, and ensure fault-tolerant systems while adhering to healthcare data standards.