Top Engineering Manager Jobs in Los Angeles, CA

Lead engineering ownership of an acquired consumer VPN product from due diligence through integration, stabilization, and growth. Manage and coach engineers while remaining hands-on with Kotlin, Swift, Go, architecture, operations, security, and production incidents. Establish testing, CI/CD, infrastructure, documentation, and compliance practices; partner with product, corporate development, marketing, and operations; and create a repeatable engineering playbook for future acquisitions.

Lead a backend engineering team responsible for Benepass Core Services, including ledger, decisioning, authentication, integrations, and money movement systems. Manage and develop 4–6 engineers, oversee hiring and performance, guide project execution, and maintain delivery accountability. Provide technical leadership through design reviews, prototyping, debugging, and operational incident management. Partner cross-functionally, uphold reliability and correctness standards, and model effective daily use of AI in engineering and management workflows.

Engineering Manager leading a 4–6 person backend team responsible for core fintech services, including ledgers, decisioning, integrations, authentication, and directories. The role combines people management, hiring, coaching, execution ownership, technical design reviews, production debugging, reliability, and delivery accountability. The manager must remain technically credible in Python/Django systems, uphold high-integrity engineering standards, and use AI extensively for coding, planning, debugging, communication, and team effectiveness.

Lead and grow a backend and full-stack engineering team responsible for Tradeify’s live trading platform. Partner with Product and Engineering teams on platform integrations, architecture, delivery, code quality, CI/CD, reliability, observability, and incident response. Remain hands-on through code reviews, design guidance, and technical problem solving while managing performance, hiring, onboarding, and cross-functional communication.

Lead the engineering team building Arcnine, Tradeify’s real-time trading platform from development through launch. Hire and develop engineers, guide architecture, partner with Product and Design, remain hands-on with code, establish quality and delivery practices, and own reliability, observability, and incident response. The role also contributes to company-wide engineering standards and communicates progress, risks, and needs to founders and cross-functional stakeholders.

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.

Lead and grow an engineering team building Sui wallet and DeFi experiences across web, browser extension, iOS, Android, backend services, and SDKs. Set technical direction for key management, signing, transactions, dApp connectivity, and asset management. Improve architecture, testing, observability, release safety, incident response, and security while partnering with product, design, protocol, and ecosystem teams to deliver reliable, user-friendly onchain products.

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.

As an Engineering Manager, you'll lead a full-stack team focused on enhancing buyer experiences, managing post-purchase issues, and improving seller support systems. You will drive technical strategy and outcomes across the buyer experience, collaborating closely with Product and Design teams.

Lead Supabase’s Billing engineering team, overseeing people management, hiring, roadmap delivery, technical direction, partnerships, and incident response. Own systems covering subscriptions, usage-based billing, invoices, payments, taxation, entitlements, collections, and provider integrations. Build a healthy remote team, ensure predictable delivery, improve reliability and operational maturity, and coordinate with Product, Finance, Data, Support, Sales, and Partnerships on revenue-critical initiatives.

Lead LaunchDarkly’s Data Platform engineering team, overseeing high-throughput ingestion, streaming and batch pipelines, analytical data stores, reliability, observability, incident response, and operational excellence. Partner with product and engineering teams on roadmap planning, technical tradeoffs, and delivery. Coach engineers, manage performance and career growth, establish collaborative team practices, and participate in hiring.

Lead a backend engineering team owning the creative pipeline for high-throughput, low-latency adtech services. Drive roadmap execution, run agile rituals, mentor engineers, participate in architecture and code reviews, handle incidents and on-call, coordinate cross-team dependencies, and support hiring and onboarding.

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 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 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 mentor a backend engineering team building Snap Map backend services and data infrastructure. Set strategy and roadmap, collaborate with product, data science, and ops, evaluate technical tradeoffs, hire and retain talent, and use AI tools and high-velocity workflows to design and ship scalable, production-ready distributed systems.

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.

Lead the Content Foundations engineering team and evolve Scribd’s high-scale document ingestion platform into a real-time, AI-native system. Responsibilities include setting technical strategy, integrating AI and ML capabilities, overseeing distributed data infrastructure, ensuring security and operational reliability, managing the roadmap, hiring and developing backend and AI data engineers, and partnering with product and engineering leaders across the organization.