Top Senior Engineering Manager Jobs in Los Angeles, CA

Lead delivery and technical execution for an AI-driven pipeline integrity platform spanning data architecture, engineering, data science, application engineering, and QA. Remain hands-on through coding, design reviews, prototyping, debugging, and quality oversight. Manage compliance, security, audit readiness, release planning, hiring, team development, and cross-functional collaboration. Ensure platform outputs are traceable, reproducible, secure, and delivered predictably against phased milestones.

Leads a 20-plus-person distributed Review Engineering organization across three agile squads. Owns technical direction, production reliability, incident response, system scalability, delivery metrics, hiring, performance management, and engineering career growth. Partners with Product, Design, Security, Clinical Operations, and peer engineering teams to deliver reliable, secure, high-quality systems in a regulated healthcare environment.

Lead a small team (2-4) as a hands-on engineering manager, owning sprint delivery, team health, performance management, and incident response. Contribute to a TypeScript codebase, partner with Product and Design, uphold operational and compliance standards for money-touching products, and champion AI-forward automation, IaC, CI/CD, and observability to ship reliable software.

Leads the Product Acquisition engineering team and drives technology strategy, architecture, software delivery, DevOps maturity, platform adoption, vendor management, and operational excellence. Partners with product managers on roadmaps and business outcomes, ensures engineering standards and production support, and coaches, recruits, and develops engineers and consultants. Requires strong software development, product operating model, project management, stakeholder communication, and technical leadership experience.

Leads the technical vision and engineering team for a high-throughput data and event platform. Oversees scalable distributed data systems, pipelines, databases, cloud infrastructure, data governance, and system integration. Partners with AI, ML, analytics, and platform teams to expand self-service capabilities, manages technical debt and architecture decisions, prioritizes projects, and recruits and mentors engineers.

Leads the Data Platform and Infrastructure team, owning strategy, architecture, execution, and organizational development. Responsibilities include managing and mentoring engineers, guiding data ingestion and platform design, establishing APIs, SLAs, governance, security, monitoring, disaster recovery, and cost optimization. The role partners with Product, Data, Finance, Security, and Analytics teams to enable reporting, experimentation, machine learning, and data products while scaling reliable infrastructure and developing future technical leaders.

Lead a squad building factory and launch platform software: manage engineers, own architecture and full SDLC, ship code, partner with cross-functional teams, mentor and hire, and uphold engineering standards for production systems.

Leads and scales the MSP/MSSP engineering team responsible for multi-tenant SaaS platform capabilities, including account hierarchies, tenant isolation, delegated administration, dashboards, licensing, and white-labeling. Oversees architecture, engineering quality, roadmap execution, partner support, hiring, mentoring, and team development. Collaborates with Product, Partnerships, Customer Success, Sales, Finance, and engineering leadership while balancing strategic delivery with operational needs.

Build and lead a new engineering team owning the designer experience module across the stack (.NET back end and TypeScript front end). Hire senior engineers, ship continuously with feature flags and progressive rollouts, collaborate with product and customers, and deliver tablet-first UX and measurable business outcomes.

Lead a product engineering team to own roadmaps, design scalable cloud-native systems, ship customer-facing features, ensure quality and reliability, hire and mentor engineers, and coordinate cross-functional delivery.

Leads the backend platform engineering team responsible for scalable, reliable, secure core systems. Owns platform strategy, roadmap, architecture, operational excellence, reliability metrics, incident response, and engineering quality standards. Manages, hires, and develops backend engineers while partnering with Product, Security, Customer Operations, and other engineering teams. Establishes guardrails for AI-assisted development and drives platform APIs, shared services, and infrastructure supporting company-wide product delivery.

Lead a 15-person Container Product Engineering team building hardened container images, registry services, build systems, adoption tooling, and compliance features. Own team outcomes, hiring, coaching, roadmap execution, technical quality, delivery, planning, and cross-functional collaboration. Remain hands-on through code and design reviews while guiding AI-native engineering practices. The role partners with product and platform teams and offers a path toward broader Director-level scope.

Leads a team of 10 engineers building and maintaining NIBRS and compliance reporting capabilities for public safety records platforms. Oversees technical quality, validation, certification, delivery, incident follow-through, resource allocation, and team development. Partners with product, R&D, agencies, and regulators to implement federal and state reporting requirements, improve engineering operations, and define the roadmap for new states, report types, automation, and platform capabilities. The role is remote within the United States with travel of up to 25%.

Lead a developer productivity engineering team responsible for CI/CD, build systems, internal tooling, and AI-augmented development workflows. Improve developer experience, engineering velocity, and software quality through scalable infrastructure, productivity metrics, AI tool adoption, coaching, and governance. Partner cross-functionally, mentor engineers, evaluate AI technologies and costs, and establish standards for security, correctness, licensing, and data handling.

Leads and develops a software engineering team building consumer-facing mobile and web experiences. Owns technical strategy, multi-quarter roadmaps, architecture, reliability, performance, incident response, and operational improvements. Partners with Product, Design, Analytics, and engineering teams to deliver large-scale redesigns and cross-functional initiatives while driving alignment, execution, and a high-trust team culture.

Lead and grow a software engineering team owning delivery, quality, and operational health. Provide technical oversight for architecture and code quality, drive planning and execution cadence, adopt AI-assisted development tooling, recruit and onboard engineers, remove blockers and manage cross-team dependencies, and partner with product and design to deliver high-impact work.

Lead two engineering teams of 8–10 engineers, owning delivery, quality, capacity planning, sprint execution, OKRs, hiring, retention, and professional development. Establish scalable engineering processes, quality gates, testing standards, observability, and continuous improvement practices. Partner with Product Managers on roadmap execution while providing technical guidance on architecture, APIs, backend systems, infrastructure, and frontend platforms.

Lead and develop mobile engineering teams building Ford’s customer-facing app. Provide technical direction across product development and production, review architectures and designs, establish engineering standards for documentation, code quality, testing, and operational excellence, evaluate mobile technologies, and partner with product, design, and engineering leaders to deliver reliable, scalable experiences.

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 multiple engineering teams (3–5 direct reports, hire 3–5 more), coach engineers to own large, loosely defined projects, provide feedback on specs, occasionally code/debug in the codebase, and lead department-wide initiatives to improve engineering practices (reviews, interviews, demo data, developer experience).

Lead and grow a data engineering team responsible for data models, ETL pipelines, synchronization, analytics, integrations, and APIs. Establish the team’s roadmap, architecture, data quality standards, SLOs, and operational practices. Hire and develop engineers, guide technical decisions, and collaborate with product and Salesforce leaders to build a reliable data platform supporting enterprise integrations and AI agents.

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.

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.