Top Remote Engineering Manager Jobs in Sacramento, CA

Lead and grow a multidisciplinary engineering team across full-stack, data engineering, and BI. Own people management, technical direction (C#/.NET, SQL, Vue 3, Power BI), data pipeline reliability, roadmap delivery, cross-functional collaboration, and engineering best practices to improve velocity, quality, and health outcomes.

Lead and grow a 16-person engineering organization across four AI-focused pods. Set technical direction, guide AI-native product and engineering development, manage cross-team dependencies, and oversee delivery, quality, reliability, security, and velocity. Partner with product, design, and leadership on scalable full-stack systems, mentor engineers and technical leads, and promote strong practices in architecture, testing, observability, incident response, and CI/CD within a HIPAA/SOC 2-aware environment.

Lead and grow a backend/platform engineering team building API-driven systems and core services. Own technical direction, architecture, reliability, and integration with product, data science, and infrastructure. Hire and mentor engineers, contribute to code and architecture, support incident response, and ensure scalable, secure, production-ready backend APIs and platform tooling.

Lead and grow remote engineering teams across Supabase, owning people management, hiring, roadmap and delivery, incident command, SLOs, and cross-team coordination while driving engineering quality and async communication.

Lead and run engineering delivery end-to-end: own planning cadences, track projects, surface risks, command incident responses and run blameless RCAs, own delivery metrics, coach and grow engineers, run hiring pipeline, and enable the founder by removing operational load.

The Engineering Manager will lead and grow engineering teams working on core infrastructure, drive hiring, and ensure alignment in delivery between teams across disciplines.

The Engineering Manager will lead a team to develop scalable software solutions, ensuring technical excellence and driving product innovation. Responsibilities include mentoring, overseeing code quality, and collaborating with cross-functional teams.

Lead technical delivery and integration efforts for a SaaS platform: act as technical SME for APIs, support presales and customer onboarding, triage integration issues, create documentation, and align engineering with sales and operations to scale integrations and improve SLAs.

Leads DevOps and Data Engineering teams supporting AWS infrastructure, CI/CD, observability, incident response, data platforms, and pipelines. Sets platform strategy, mentors engineers, guides architecture, and manages technical roadmaps. Owns SOC 2 audits and penetration testing, coordinates vendors and auditors, improves security and reliability, and coaches teams on validating AI-assisted development. This player-coach role requires hands-on technical contribution and cross-functional collaboration in a remote environment.

Lead a West Coast team of Applications Engineers owning territory technical delivery from pre-sales POCs through post-install support. Act as senior escalation, stay hands-on commissioning robotic cells, set standards, run capacity planning and development, and travel up to 25% for key installs and escalations.

Lead and grow a team building shared test systems, production-like environments, workload testing capabilities, failure-mode validation, and engineering test frameworks. Drive system-level coverage, cross-team alignment, measurable improvements in pre-production confidence, and integration of validations into continuous or release pipelines. The role requires strong distributed-systems expertise, internal platform delivery experience, organizational influence, and the ability to translate production incidents into preventative test coverage.

Lead and grow a Support Engineering team that resolves complex product issues, integrations, and data workflows. Define escalation and triage practices, build scalable diagnostics and internal tools, collaborate closely with Engineering and Product, mentor engineers on debugging, logs, and database querying, and create repeatable processes to improve customer outcomes and support efficiency.

Lead engineering teams to develop AI-powered software for local governments, enhance user-facing features, and drive continuous process improvement.

Manage and grow the Video Enablement engineering team, own core video pipeline (ingest, transcode, storage, playback), enable third-party device integrations, collaborate on video roadmap, ensure scalable resilient AWS infrastructure, mentor engineers, contribute technically when needed, and support production incidents and cross-team enablement.

Lead the engineering team managing 300+ destination integrations, focusing on technical execution, product improvements, and mentoring engineers while ensuring customer satisfaction.

Lead and develop a remote team of Python engineers, ensuring their growth and satisfaction while driving high-quality software delivery.

As the Engineering Manager for Scribe's Platform team, you will lead the backend team, define technical strategy, collaborate on product outcomes, and foster engineering culture while ensuring reliability and compliance.

The Engineering Manager will lead a team to ship features, collaborate with cross-functional teams, coach engineers, and manage project progress.

Lead a Product Engineering squad (8–15 engineers), prioritize people development, hiring, process, and predictable delivery. Drive AI-native practices, technical credibility, customer-focused outcomes, testing/validation, and cross-functional partnerships while owning team budget and headcount.

Lead a squad end-to-end to deliver customer value: set direction, drive execution, ensure scalable and secure architectures, stay close to technical work, coach and grow engineers, hire and manage performance, and apply AI-native practices to accelerate delivery.

Leads and develops a team of mobile software engineers building NPR applications. Responsibilities include coaching, hiring, Agile delivery, technical planning, code and design reviews, workflow automation, production incident response, vendor coordination, and cross-functional collaboration. The role requires prior hands-on mobile engineering experience, proficiency in native iOS or Android technologies, release infrastructure, Git, and Agile/Scrum practices.

Lead and develop a software engineering team modernizing a legacy enterprise platform. Drive re-architecture, define target-state architecture and technical strategy, guide scalability and reliability decisions, and establish engineering standards for testing, code review, CI/CD, infrastructure automation, observability, and operational excellence. Partner with Architecture, Product, Security, and business stakeholders while recruiting talent, supporting career development, and balancing technical priorities with delivery commitments.

Lead Docker’s Secure Build and SCS Services teams, owning delivery, team health, technical direction, operational excellence, hiring, and engineer development. Shape portfolio priorities across secure build, Docker Scout, and Docker Hardened Images while balancing roadmap work, reliability, on-call, and stakeholder commitments. Partner with Product and cross-functional teams, guide distributed-systems and infrastructure decisions, oversee incidents and production operations, and establish clear ownership across team interfaces. The role requires strong backend engineering judgment, software supply-chain security understanding, and leadership across remote European and US teams.

Lead a 6–8 engineer team building an SSH client, web app, and backend services for an agentic AI platform. Own architecture, hiring, process, roadmap partnership with product, incident response, and mentorship while remaining ~20% hands-on.

Lead engineering for CaptivateIQ’s Incentive Compensation Operations platform. Hire, develop, and manage software engineers; partner cross-functionally on product vision, roadmaps, and strategy; oversee delivery, reliability, performance, security, and operational excellence; guide architecture and technical decisions; and transform compensation operations into an AI-native experience using intelligent agents to reduce manual work.