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
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