Top Remote Engineering Manager Jobs in Atlanta, GA

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 Technical Engineering Manager leads cross-functional teams to ensure high-quality software delivery, drives technical innovation, mentors engineers, and manages operational efficiency within the banking software sector.

Lead and develop a software engineering team building an AI-powered litigation product. Manage projects, resource allocation, SDLC and compliance (SOC2), mentor engineers, run hiring and interviews, triage incidents, collaborate cross-functionally, and drive continuous improvement.

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.

The Engineering Manager will lead a fullstack engineering team, ensuring technical excellence, mentoring engineers, and driving product development for ClickUp's flagship products.

Lead and grow Revance's digital engineering capability across Salesforce and modern headless web stacks. Hands-on manager who debugs production issues, enforces code quality and standards, manages vendor partnerships, hires and develops engineers, drives technical debt remediation, and owns platform reliability and cross-pod engineering consistency.

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.

Lead a cross-discipline engineering team to deliver production-ready, AI-enabled solutions across the full lifecycle. Coach engineers and data scientists, manage a portfolio of engagements, act as player‑coach on select projects, strengthen multidisciplinary practices, and champion responsible, hypervelocity AI engineering and reusable accelerators.

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.

The Associate Engineering Manager leads engineering teams, ensuring reliable delivery, managing people, maintaining standards, and supporting system reliability in a fast-paced gaming environment.

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 execution and day-to-day operations for a globally distributed engineering team (~10 engineers). Own sprint commitments, release cycles, incident management/on-call, asynchronous processes, and delivery metrics (DORA). Champion AI-augmented development, mentor engineers, and balance planned roadmap work with reactive bug triage to maintain high velocity and uptime.

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.

Lead a hands-on engineering team to improve kernel-centric reliability of large AI compute clusters. Own technical vision, build diagnostic and debug tooling, collaborate with SW and HW teams to reduce downtime, speed failure analysis, and mentor engineers to deliver scalable, reliable production systems.

As a Lead Front-End Engineer, you'll own UI architecture, mentor team members, manage technical initiatives, and drive AI-powered feature development.

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

Leads and develops the Cost Engine software engineering team while remaining hands-on with C#/.NET APIs, backend services, ETL, and data systems. Sets technical direction, reviews code, handles complex architecture and production issues, manages agile delivery, removes blockers, and partners with product, architecture, and Scrum teams. Drives modernization, observability, reliability, security, legacy deprecation, and team growth.

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.

Manage engineering projects and QA for a small, remote engineering team: track work, run bug pipeline, write and automate tests (Capybara when useful), coordinate engineers with product and internal stakeholders, and report status to leadership while using AI to streamline repetitive testing tasks.