Engineering Manager, AI-Native Platform

First American

. Lead one or more distributed engineering teams designing, building, and operating modern cloud-native and AI-powered software systems .

Posted 9/16/2026full-timeRemote • California • United StatesSeniorLead💰 $148,600 - $198,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading distributed engineering teams to design and deliver cloud-native and AI-powered software systems, while fostering an inclusive environment that promotes growth and collaboration. Proficient in establishing engineering processes, utilizing metrics for improvement, and adopting AI-assisted development tools to enhance software quality and operational excellence.

Highest-signal resume keywords

Cloud-Native Software DevelopmentAI-Assisted Development ToolsEngineering Team LeadershipSoftware Architecture and DesignMetrics-Driven Software Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

C# (.NET)PythonGoJavaTypeScriptKubernetesTerraformCDKAPIsDistributed Systems

Soft Skills

Excellent CommunicationCoaching and MentoringStakeholder AlignmentDecision-MakingProblem-Solving

Tools & Technologies

OpenAIAzure OpenAICursorClaude CodeGitHub CopilotOpenTelemetryGrafanaDatadogPrometheus

Industry Keywords

Financial ServicesInsuranceHealthcareOperational ExcellenceContinuous Delivery

Tech Stack

Tools & technologies

AzureCloudDistributed SystemsGrafanaJavaKubernetesPrometheusPythonTerraformTypeScriptGo.NET

About the role

Key responsibilities & impact

Lead one or more distributed engineering teams designing, building, and operating modern cloud-native and AI-powered software systems
Create an inclusive, psychologically safe environment where engineers can grow, collaborate, and deliver results
Coach engineers through feedback, career development, performance management, and mentoring
Build hiring pipelines, make hiring decisions, and raise the engineering talent bar
Own predictable delivery by establishing priorities, planning mechanisms, and execution discipline
Remove obstacles, manage competing priorities, and ensure high-quality software delivery aligned with business objectives
Measure team health with engineering and operational metrics to improve velocity, quality, and customer outcomes
Partner with Product Management, Design, Architecture, Security, and Business stakeholders to align roadmaps and priorities
Translate ambiguous business problems into executable engineering plans
Champion responsible AI adoption across the software development lifecycle
Ensure effective use of AI-assisted development tools while maintaining quality, security, and engineering judgment
Evaluate opportunities for AI-powered products and agentic systems with governance, observability, and operational safeguards
Establish operational practices supporting secure, observable, resilient, scalable, and maintainable software
Drive improvements through metrics, postmortems, incident reviews, SLOs, automation, and engineering health initiatives
Develop planning, estimation, sprint, release, metrics, on-call, documentation, technical debt, and workflow systems
Simplify processes, reduce friction, and improve engineering productivity
Guide technical decision-making, review architecture and design proposals, and encourage sound engineering tradeoffs
Partner with senior and staff engineers to evolve technical direction while empowering independent decisions

Requirements

What you’ll need

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; DORA
Experience adopting AI-assisted software development tools
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
Ideally, experience with AI platforms such as OpenAI, Azure OpenAI, Anthropic, or Databricks
Ideally, experience with AI-assisted development tools including Cursor, Claude Code, GitHub Copilot, or similar
Ideally, experience with C# (.NET), Python, Go, Java, TypeScript, or similar technologies
Ideally, experience with Kubernetes and containerized application platforms
Ideally, experience with Terraform, CDK, or similar Infrastructure as Code technologies
Ideally, experience with OpenTelemetry, Grafana, Datadog, Prometheus, or similar observability platforms
Ideally, experience in highly regulated industries such as Financial Services, Insurance, or Healthcare
Ideally, experience leading geographically distributed engineering teams

Benefits

Comp & perks

Medical insurance
Dental insurance
Vision insurance
401k
PTO/paid sick leave
Employee stock purchase plan
Inclusive, people-first workplace culture
Remote work welcome