[Remote] Engineering Manager (AI-Native Platform) - Remote

Note: The job is a remote job and is open to candidates in USA. First American is a people-first company developing AI-native technology products that power the real estate industry. The Engineering Manager will lead distributed engineering teams building and operating cloud-native and AI-powered software systems while driving delivery excellence, operational rigor, technical direction, and engineer development.

Responsibilities

• Create an inclusive, psychologically safe environment where engineers are empowered to grow, collaborate, and deliver exceptional results
• Coach engineers through regular feedback, career development, performance management, and mentoring while raising the overall technical and leadership capability of the team
• Build strong hiring pipelines, make thoughtful hiring decisions, and continuously raise the engineering talent bar
• Own predictable delivery for one or more engineering teams by establishing clear priorities, effective planning mechanisms, and strong execution discipline
• Remove obstacles, manage competing priorities, and ensure teams consistently deliver high-quality software aligned with business objectives
• Measure team health using engineering and operational metrics, continuously improving velocity, quality, and customer outcomes
• Collaborate closely with Product Management, Design, Architecture, Security, and Business stakeholders to align roadmaps, clarify priorities, and ensure engineering investments deliver measurable customer and business value
• Help translate ambiguous business problems into executable engineering plans while balancing technical health with product delivery
• Champion the responsible adoption of AI across the software development lifecycle
• Ensure engineers effectively leverage AI-assisted development tools such as Cursor, Claude Code, GitHub Copilot, or similar technologies to accelerate software development while maintaining high standards for quality, security, and engineering judgment
• Partner with technical leaders to evaluate opportunities for AI-powered products and agentic systems while ensuring appropriate governance, observability, and operational safeguards
• Build engineering systems that enable reliable software delivery through strong operational practices
• Ensure teams consistently deliver software that is:
• Secure
• Observable
• Resilient
• Scalable
• Maintainable
• Drive continuous improvements through metrics, postmortems, incident reviews, SLOs, automation, and engineering health initiatives
• Champion operational discipline as an everyday engineering practice rather than a reactive activity
• Create mechanisms that improve team effectiveness and predictability
• This includes:
• Planning and estimation
• Sprint and release processes
• Engineering metrics
• On-call readiness
• Documentation
• Technical debt management
• Development workflows
• Continuous improvement
• Continuously identify opportunities to simplify processes, reduce friction, and improve engineering productivity
• Guide technical decision-making without becoming the bottleneck for engineering execution
• Review architecture and design proposals, encourage sound engineering tradeoffs, and ensure solutions remain maintainable, scalable, and aligned with organizational standards
• Partner with senior and staff engineers to evolve technical direction while empowering engineers to make strong technical decisions independently

Skills

• 7+ years of experience building production software systems, including experience leading engineering teams
• Demonstrated experience managing software engineers and building high-performing engineering teams
• Strong experience delivering cloud-native, distributed software systems in production
• Experience establishing engineering processes that improve delivery predictability, software quality, and operational excellence
• Strong understanding of modern software architecture, cloud infrastructure, APIs, distributed systems, and software engineering best practices
• Experience using business and engineering metrics and operational data to improve team effectiveness and customer outcomes
• Experience coaching engineers through performance, career growth, feedback, and mentorship
• Experience partnering effectively with Product Management, Design, Architecture, and cross-functional stakeholders
• Strong understanding of iterative, metrics driven software development and continuous delivery; you live and breathe DORA
• Experience adopting AI-assisted software development tools to accelerate delivery of business value
• Excellent communication skills with the ability to influence, align stakeholders, and drive decisions across technical and business teams
• Strong judgment balancing customer needs, technical health, organizational priorities, and long-term sustainability
• AI platforms such as OpenAI, Azure OpenAI, Anthropic, or Databricks
• AI-assisted development tools including Cursor, Claude Code, GitHub Copilot, or similar
• Modern backend development using C# (.NET), Python, Go, Java, TypeScript, or similar technologies
• Kubernetes and containerized application platforms
• Infrastructure as Code using Terraform, CDK, or similar technologies
• Observability platforms including OpenTelemetry, Grafana, Datadog, Prometheus, or similar
• Engineering organizations operating in highly regulated industries such as Financial Services, Insurance, or Healthcare
• Leading geographically distributed engineering teams

Benefits

• Medical
• Dental
• Vision
• 401k
• PTO/paid sick leave
• Employee stock purchase plan

Company Overview

Company H1B Sponsorship