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Frontend Architect

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Remote from
USA
Salary
USD 129,600–288k / yr
Employment
Full Time
Experience
Senior
Published
Apply before
23 Nov 2026
Listing views
21
Application actions
2
Application toolkit

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AI Summary

The role, at a glance.

Navan is seeking a senior Frontend Architect to define and evolve a shared frontend platform used by more than 20 engineering teams. The role centers on React, TypeScript, micro-frontends, shared NPM packages, build tooling, testing standards, and performance optimization. It also requires establishing reliable AI-assisted development workflows, including repository conventions, validation gates, human review boundaries, and secure tool access. The architect will influence organization-wide engineering practices, mentor developers, and measure improvements in delivery speed, quality, reliability, and AI workflow effectiveness.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

5/5
EasyHard

Pace & Pressure

4/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThis is a high-seniority architecture role with organization-wide technical ownership across numerous teams and a complex mix of platform, reliability, security, and AI-development responsibilities. Success requires both deep hands-on frontend expertise and the ability to create consensus and drive measurable adoption.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Market rate
$208,800
US market range (per year)$180k–$290k
AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The stated compensation range is $129,600–$288,000 USD. The posting does not name a pay cadence, so yearly compensation is inferred from the range, US location, and senior frontend architecture scope. The midpoint is $208,800 per year; an estimated US market range for a senior frontend architect is $180,000–$290,000 per year.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you design a micro-frontend platform that allows teams to deploy independently while maintaining shared standards?

I would define clear ownership boundaries, versioned shared contracts, and a stable shell-to-remote integration model using Module Federation or an equivalent approach. Shared UI libraries, observability conventions, dependency policies, and automated compatibility checks would be managed centrally, while product teams retain ownership of their independently deployable domains.

What controls would you establish for AI-generated frontend changes?

I would require deterministic build, lint, unit, integration, and browser-test commands that an agent can run and report on. Changes affecting security, shared components, data handling, or user-impacting workflows should have explicit human approval, while repositories should provide scoped tool permissions and ensure secrets are never exposed to agents.

How would you reduce bundle size and improve frontend performance across many applications?

I would first establish baselines through real-user monitoring, bundle analysis, and performance budgets. Then I would prioritize high-impact work such as dependency deduplication, code splitting, lazy loading, image and CDN optimization, reducing shared-package weight, and enforcing performance checks in CI.

How do you drive adoption of architecture standards without becoming a bottleneck?

I would make the preferred path easier than the alternatives by providing well-documented templates, reusable packages, runnable examples, automated checks, and migration tooling. I would pilot changes with representative teams, measure outcomes, incorporate feedback, and use lightweight architecture reviews for high-impact decisions rather than requiring approval for routine work.

Describe how you would evaluate whether an AI-assisted developer workflow is improving engineering outcomes.

I would compare baseline and pilot metrics such as lead time, pull-request cycle time, escaped defects, rework, test reliability, developer satisfaction, and AI usage cost. I would also review qualitative evidence from code reviews and incidents to verify that faster delivery does not reduce maintainability, security, or accountability.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
Opportunity details

About this role.

About The Job

Navan is an all-in-one travel, corporate card, and expense management solution that eliminates the hassles of corporate travel & expense management while giving finance leaders real-time spend visibility and control.

The Frontend Architect plays a pivotal role in shaping the future of Navan’s frontend infrastructure and developer experience across the organization. This role is central to architecting and maintaining the frontend platform that enables 20+ engineering teams to deploy independently while maintaining high quality standards. The Frontend Architect is essential to our mission, building shared libraries, developer tooling, and infrastructure, evolving the platform for both human and AI-assisted development, and driving performance and reliability initiatives.

What You’ll Do

  • Architect Micro-Frontend Infrastructure: Design and evolve micro-frontend platform using Module Federation in React & Angular. Create and maintain shared NPM packages enforcing consistency and patterns across the organization. Drive team collaboration through architectural governance, review processes, and cross-functional alignment.
  • Drive Developer Platform Strategy: Create developer tools and automation that streamline workflows and boost productivity across engineering teams. Build repeatable AI-assisted workflows for frontend implementation, browser testing, debugging, framework migrations, and delivery—from a task specification to a validated pull request. Author technical documentation and mentor engineers through code reviews.
  • Enable Reliable Coding Agent Workflows: Structure repositories, component libraries, documentation, and development environments so engineers and coding agents can reliably build, test, and extend the platform. Establish clear component contracts, runnable examples, predictable build and test commands, and reusable skills and integrations that provide relevant company context and actionable validation feedback.
  • Establish Shared Patterns for AI-Powered Experiences: Partner with product and AI platform teams to establish shared UI patterns for AI-powered experiences, including streaming responses, progress visibility, cancellation, error recovery, and user approval of consequential actions. Design reusable components with clear contracts that reduce integration time across teams.
  • Strengthen Testing and Validation: Establish fast, reliable feedback through component tests, browser automation, visual regression checks, and CI gates so changes can be validated consistently across teams. Define validation and human review requirements for AI-generated changes.
  • Drive Adoption and Measurable Outcomes: Pilot new workflows with engineering teams, measure delivery time, escaped defects, reliability, and AI usage cost, and turn successful approaches into supported company standards. Verify that tools, integrations, and workflows operate successfully in the teams and environments where they are adopted.
  • Partner on Secure AI-Assisted Development: Work with Security and the AI platform team to establish scoped tool access, safe handling of secrets and sensitive data, and clear accountability for agent-generated changes. Define appropriate human review and approval boundaries for frontend workflows.
  • Drive Reliability & Performance: Lead optimization initiatives to reduce bundle size and costs. Spearhead framework migrations delivering critical security fixes. Implement performance monitoring and optimization strategies that reduce latency and improve load times.

What We’re Looking For

  • At least 8 years of experience in frontend software development
  • At least 3 years of experience in frontend architecture with demonstrated organization-wide impact
  • Deep expertise with React and TypeScript; experience with Angular is highly valued
  • Experience with micro-frontend architectures (Module Federation, single-spa, Web Components, or similar approaches)
  • Strong knowledge of build tooling (Webpack, Vite, Rollup) and monorepo management
  • Experience with testing strategies (unit, integration, E2E) and establishing testing standards across teams, including component testing, browser automation, visual regression checks, and CI validation
  • Hands-on experience using AI coding tools to deliver production changes, with the ability to evaluate generated code, design effective validation, and explain where human review is necessary
  • Ability to demonstrate improvements in engineering delivery, quality, or reliability from AI-assisted workflows and drive adoption across teams
  • Practical understanding of scoped tool access, secrets, sensitive data, and accountability for AI-generated changes, in partnership with Security and AI platform teams
  • Excellent Communication: Strong verbal and written communication skills to effectively collaborate with team members and drive consensus across multiple teams.
  • Nice to have: Experience with observability platforms, CDN optimization, Next.js or other meta-frameworks, CI/CD pipelines, and AWS

The posted pay range represents the anticipated low and high end of the compensation for this position and is subject to change based on business need. To determine a successful candidate’s starting pay, we carefully consider a variety of factors, including primary work location, an evaluation of the candidate’s skills and experience, market demands, and internal parity.

For roles with on-target-earnings (OTE), the pay range includes both base salary and target incentive compensation. Target incentive compensation for some roles may include a ramping draw period. Compensation is higher for those who exceed targets. Candidates may receive more information from the recruiter.

Pay Range

$129,600—$288,000 USD

Navan uses AI-assisted Automated Employment Decision Tool (Metaview) to assist with evaluating resumes against job qualifications for this role. All final decisions are made by human recruiters and hiring managers.

Human oversight: Metaview does not automatically reject candidates or make final hiring decisions. Our recruiters and hiring managers review all outputs and make the final hiring decision regarding every application.

  • Your rights: If you prefer to have your application reviewed without AI assistance, you may request a human evaluation by entering your email here. Your decision to do so will not affect how your candidacy is evaluated.

Please refer to our Candidate Privacy Notice for more information about our processing of personal data, and your rights.

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