Engineering Manager (AI-Native Platform) - Remote
SalaryNo pay range posted
LocationUSA, California, Santa Ana
Work moderemote · United States
Typefull-time
SenioritySenior
DepartmentEngineering
Company size10,000+ people
PostedSep 23, 2026 · 2w ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Engineering Manager who thrives at building high-performing engineering teams
Creating an environment where engineers can do their best work
Delivering meaningful business outcomes through strong execution, technical leadership, and operational excellence
Leading one or more distributed engineering teams
Designing, building, and operating modern cloud-native and AI-powered software systems
Partnering closely with Product Management, Design, Architecture, and fellow Engineering leaders
Translating strategy into outcomes while developing engineers
Improving engineering effectiveness
Fostering a culture of ownership, accountability, and continuous learning
Creating an inclusive, psychologically safe environment
Coaching engineers through regular feedback, career development, performance management, and mentoring
Raising the overall technical and leadership capability of the team
Building strong hiring pipelines, making thoughtful hiring decisions
Raising the engineering talent bar
Owning predictable delivery for one or more engineering teams
Establishing clear priorities, effective planning mechanisms, and strong execution discipline
Removing obstacles, managing competing priorities
Ensuring teams consistently deliver high-quality software aligned with business objectives
Measuring team health using engineering and operational metrics
Continuously improving velocity, quality, and customer outcomes
Collaborating closely with Product Management, Design, Architecture, Security, and Business stakeholders
Aligning roadmaps, clarifying priorities, and ensuring engineering investments deliver measurable customer and business value
Helping translate ambiguous business problems into executable engineering plans
Balancing technical health with product delivery
Championing the responsible adoption of AI across the software development lifecycle
Ensuring engineers effectively leverage AI-assisted development tools such as Cursor, Claude Code, GitHub Copilot, or similar technologies
Maintaining high standards for quality, security, and engineering judgment when using AI tools
Partnering with technical leaders to evaluate opportunities for AI-powered products and agentic systems
Ensuring appropriate governance, observability, and operational safeguards for AI systems
Building engineering systems that enable reliable software delivery through strong operational practices
Ensuring teams consistently deliver software that is secure, observable, resilient, scalable, and maintainable
Driving continuous improvements through metrics, postmortems, incident reviews, SLOs, automation, and engineering health initiatives
Championing operational discipline as an everyday engineering practice
Creating mechanisms that improve team effectiveness and predictability
Experience with planning and estimation processes
Experience with sprint and release processes
Experience with engineering metrics
Experience with on-call readiness
Experience with documentation practices
Experience with technical debt management
Experience with development workflows
Experience with continuous improvement processes
Continuously identifying opportunities to simplify processes, reduce friction, and improve engineering productivity
Remote work arrangement
Skills
AI-assisted development tools
Cursor
Claude Code
GitHub Copilot
Benefits
Remote stipend
Who We Are
Join a team that puts its People First! Since 1889, First American (NYSE: FAF) has held an unwavering belief in its people. They are passionate about what they do, and we are equally passionate about fostering an environment where all feel welcome, supported, and empowered to be innovative and reach their full potential. Our inclusive, people-first culture has earned our company numerous accolades, including being named to the Fortune 100 Best Companies to Work For® list for eleven consecutive years. We have also earned awards as a best place to work for women, diversity and LGBTQ+ employees, and have been included on more than 50 regional best places to work lists. First American will always strive to be a great place to work, for all. For more information, please visit www.careers.firstam.com.
What We Do
About the role
Remote Work Welcome
Be part of a transformative engineering organization that is shaping how First American builds and delivers world-class AI-native technology products that power the real estate industry.
We are looking for an Engineering Manager who thrives at building high-performing engineering teams, creating an environment where engineers can do their best work, and delivering meaningful business outcomes through strong execution, technical leadership, and operational excellence.
As an Engineering Manager, you will lead one or more distributed engineering teams responsible for designing, building, and operating modern cloud-native and AI-powered software systems. You’ll partner closely with Product Management, Design, Architecture, and fellow Engineering leaders to translate strategy into outcomes while developing engineers, improving engineering effectiveness, and fostering a culture of ownership, accountability, and continuous learning.
What You’ll Do:
Build High-Performing Engineering Teams
•
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.
Drive Delivery Excellence
•
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.
Partner Across Functions
•
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.
Build AI-Native Engineering Teams
•
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.
Establish Operational Excellence
•
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.
Develop Engineering Systems
•
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.