Staff Software Engineer- UI Foundations Team

📍 Job Overview

Job Title: Staff Software Engineer - UI Foundations

Company: Amplitude

Location: San Francisco Bay Area, Hybrid

Job Type: Full-time

Category: Software Engineering (Frontend Infrastructure & AI Automation)

Date Posted: 2026-08-13

Experience Level: 10+ Years (Staff Level Equivalent)

Remote Status: Hybrid

🚀 Role Summary

• Drive architectural decisions and technical direction for Amplitude's frontend platform, focusing on scalability, performance, and developer experience.

• Lead the design and implementation of AI-agent-driven engineering workflows to automate development processes and enhance overall engineering velocity across the organization.

• Serve as a technical leader and mentor within the UI Foundations team and the broader frontend engineering org, influencing best practices and standards.

• Collaborate closely with product engineering, design systems, and platform teams to ensure foundational investments align with and solve real-world developer pain points.

• Focus on optimizing frontend infrastructure, including module boundaries, micro-frontend patterns, shared component libraries, and state management strategies.

📝 Enhancement Note: This role is positioned as a Staff Software Engineer with a strong emphasis on foundational frontend architecture and the innovative application of AI agents in engineering workflows. The "UI Foundations Team" implies a focus on core infrastructure, developer experience, and enabling other engineering teams, rather than direct product feature development. The mention of "AI-agent-driven engineering workflows" and "software factory" indicates a forward-thinking approach to automation and efficiency.

📈 Primary Responsibilities

• Own and evolve the architectural foundations of Amplitude's frontend platform, including module boundaries, micro-frontend patterns, shared component/design-system infrastructure, and state management strategy.

• Diagnose and resolve systemic application performance issues (e.g., bundle size, load times, runtime performance, rendering bottlenecks) and establish scalable performance budgets and guardrails.

• Build and maintain essential developer experience tools, including build systems, local development environments, CI/CD pipelines, linting/codegen, and internal tooling used by other engineers.

• Spearhead the identification of engineering workflow bottlenecks and develop AI-agent-driven automation to address them, iteratively improving engineering velocity and reducing manual effort.

• Set technical direction and standards for the frontend organization, mentor senior and staff-track engineers, and review architecture proposals impacting shared frontend infrastructure.

• Partner with product engineering teams, design systems, and platform/infrastructure teams to ensure foundational investments effectively address product-team needs and pain points.

• Influence technical direction and drive consensus on ambiguous, cross-cutting architectural decisions through strong technical judgment and effective communication.

📝 Enhancement Note: The responsibilities highlight a blend of deep technical ownership in frontend architecture and a strategic focus on AI-driven automation. This role is about enabling other engineers by providing robust, performant, and efficient foundational systems, with a significant emphasis on leadership and influencing technical direction.

ുകൾ Skills & Qualifications

Education: While no specific degree is mandated, a strong academic foundation in Computer Science or a related field is typically expected for Staff-level roles. Demonstrable practical experience and a track record of impact will be prioritized over formal education.

Experience: A minimum of 10 years of professional software engineering experience, with a proven track record of operating at a Staff Engineer level or demonstrating equivalent scope and impact.

Required Skills:

• Deep expertise in modern frontend architecture, particularly with React or equivalent component frameworks.

• Strong infrastructure and systems engineering instincts, with comfort in build tooling, CI/CD, and development environments.

• Demonstrated experience improving frontend application performance at scale, including bundle optimization, rendering performance, and load-time metrics.

• Proven experience designing and shipping internal developer tooling or platform infrastructure that measurably improved developer velocity.

• Hands-on experience with AI-agent-driven or LLM-powered engineering workflows (e.g., agentic coding tools, autonomous pipelines, AI-assisted codegen/migration), or a strong conceptual understanding and plan for building them.

• Exceptional technical judgment and the ability to drive consensus on ambiguous, cross-cutting architectural decisions without relying on formal authority.

• Excellent written and spoken communication skills, capable of influencing through documents, proposals, design reviews, and cross-team discussions. Preferred Skills:

• Experience with monorepo tooling (e.g., Nx, Lerna).

• Familiarity with micro-frontend architectures and large-scale frontend platform migrations.

• Experience with design systems and component library architecture.

• Prior experience building "agent harness" style infrastructure, including evaluation frameworks, agent orchestration, or tool-use frameworks for LLMs.

📝 Enhancement Note: The requirements emphasize a dual specialization: deep frontend expertise combined with robust infrastructure and systems engineering capabilities. The explicit mention of AI-agent-driven workflows and LLM experience is a key differentiator for this role, signaling a focus on cutting-edge development practices.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase of significant contributions to frontend architecture, demonstrating impact on scalability, maintainability, or performance.

• Case studies detailing the identification and resolution of complex performance bottlenecks in large-scale frontend applications.

• Examples of internal developer tooling or platform infrastructure projects, with quantifiable improvements in developer velocity or efficiency.

• Demonstrations of experience with AI-agent-driven workflows, including specific examples of automation implemented and its impact on engineering processes.

• Documentation of architectural decision-making processes, including how consensus was built and trade-offs were managed. Process Documentation:

• Documented examples of process optimization for build systems, CI/CD pipelines, or local development environments.

• Case studies illustrating the implementation of performance budgets and monitoring systems.

• Evidence of contributing to or defining coding standards, linting rules, or code generation strategies.

• Examples of how collaboration with cross-functional teams was managed to ensure alignment on foundational infrastructure.

📝 Enhancement Note: For a Staff-level role, especially one involving foundational infrastructure and AI, a portfolio should highlight strategic thinking, technical leadership, and measurable impact. Emphasis should be placed on how the candidate has improved engineering processes and enabled other teams.

💵 Compensation & Benefits

Salary Range:

• California: $192,000 - $264,000 base salary (inclusive of bonus or commission)

• New York City: $192,000 - $264,000 base salary (inclusive of bonus or commission)

• Colorado: $173,000 - $238,000 base salary (inclusive of bonus or commission)

• Washington: $173,000 - $238,000 base salary (inclusive of bonus or commission) Benefits:

• Excellent Medical, Dental, and Vision insurance coverages, with 100% employer-paid premiums for employee Medical, Dental, Vision on select plans.

• Flexible time off, paid holidays, and more.

• Generous stipends:

  • Monthly wellness stipend
  • Monthly commuter transit/parking stipend
  • Quarterly learning and development stipend
  • Annual home office equipment stipend

• Excellent Parental benefits:

  • 12-20 weeks of Paid Parental Leave
  • Carrot Fertility Benefits/Adoption/Surrogacy support
  • Back-up Child Care support

• Mental health and wellness benefits:

  • No-cost employee access to Modern Health coaching & therapy sessions.
  • High-quality physician office experience via One Medical membership (select U.S. locations only).

• Employee Stock Purchase Program (ESPP).

• Company-sponsored 401(k) retirement plan (specifically mentioned for Washington state, likely applicable broadly).

Working Hours: 40 hours per week (standard full-time). The hybrid nature suggests flexibility in how these hours are structured, with expectations for collaboration during core business hours.

📝 Enhancement Note: The salary ranges provided are specific to location and are stated as base salary, inclusive of bonus or commission. This is typical for technical roles. The benefits package is extensive, with a strong emphasis on wellness, professional development, and family support, reflecting a modern tech company's offerings.

🎯 Team & Company Context

🏢 Company Culture

Industry: Digital Analytics Platform (AI-first)

Company Size: Amplitude has grown significantly, indicated by its public listing and global offices. It operates as a mid-to-large-sized tech company, likely employing several hundred to over a thousand individuals. This size allows for specialized teams like UI Foundations while maintaining a dynamic, growth-oriented environment.

Founded: 2012. Amplitude has evolved from its founding into a public company with a leading market position, demonstrating a history of innovation and sustained growth.

Team Structure:

• The UI Foundations team is a specialized group within the broader engineering organization, likely comprising senior and staff-level engineers focused on core frontend infrastructure.

• Reporting structure is typically within an engineering hierarchy, with the Staff Engineer likely reporting to an Engineering Manager or Director of Engineering, and influencing other engineers through technical leadership.

• Cross-functional collaboration is a key aspect, requiring close partnerships with product engineering teams, the design systems team, and potentially other platform/infrastructure teams to ensure alignment and adoption of foundational investments. Methodology:

• Data-driven decision-making is central, given Amplitude's core business. This extends to engineering, where performance metrics, developer productivity data, and user feedback inform architectural choices and process improvements.

• Agile development methodologies are likely employed, with a focus on iterative development, continuous feedback, and rapid adaptation.

• Emphasis on "software factory" and AI-agent-driven workflows suggests a proactive approach to process optimization and automation, aiming to streamline engineering practices.

Company Website: https://amplitude.com/

📝 Enhancement Note: Amplitude positions itself as an AI-first company with strong values (humility, ownership, growth mindset, customer-centricity). The UI Foundations team plays a critical role in enabling the company's mission by providing the technical bedrock for product development, increasingly leveraging AI.

📈 Career & Growth Analysis

Operations Career Level: Staff Software Engineer. This level signifies a highly experienced individual contributor who operates with significant autonomy. They are expected to define technical strategy, tackle complex and ambiguous problems, mentor others, and have a broad impact across multiple teams or the entire engineering organization. This role is a critical step towards Principal or Distinguished Engineer roles.

Reporting Structure: The Staff Software Engineer will likely report into an Engineering Manager or Director, but their influence will extend far beyond their direct reporting line through technical leadership, architectural guidance, and mentorship. They will be a key technical voice for the UI Foundations team.

Operations Impact: The impact of this role is foundational and far-reaching. By improving frontend architecture, performance, and developer experience, and by pioneering AI-driven automation, this engineer will directly enhance the productivity and efficiency of all product engineers at Amplitude. This translates to faster product iteration, higher quality software, and ultimately, a better experience for Amplitude's customers.

Growth Opportunities:

• Technical Specialization: Deepen expertise in frontend infrastructure, performance engineering, and cutting-edge AI applications in software development.

• Leadership & Mentorship: Grow into a recognized technical leader within the company, mentoring other senior engineers and shaping the technical direction of frontend development.

• Strategic Influence: Contribute to Amplitude's long-term technology strategy, particularly concerning developer productivity and AI integration.

• Cross-Functional Impact: Expand influence across different engineering domains and potentially contribute to platform-wide initiatives.

📝 Enhancement Note: The Staff level implies a high degree of ownership and impact. Growth opportunities are geared towards deepening technical mastery, expanding leadership influence, and contributing to strategic technology decisions, especially in the emerging area of AI in engineering.

🌐 Work Environment

Office Type: Hybrid. This indicates a mix of remote work and in-office collaboration. The San Francisco Bay Area location suggests access to a vibrant tech hub environment.

Office Location(s): San Francisco Bay Area. While specific office details aren't provided, this implies a physical presence is required for collaboration, with flexibility for remote work. Amplitude also has global offices in New York, Vancouver, Amsterdam, London, Paris, Singapore, and Tokyo, indicating a distributed but connected engineering culture.

Workspace Context:

• The hybrid model allows for focused individual work at home and collaborative sessions, design reviews, and team building in the office.

• The "UI Foundations Team" likely has access to modern development tools and infrastructure, supporting complex frontend development and experimentation with AI technologies.

• Opportunities for direct interaction with other engineering teams are abundant, fostering a collaborative environment where foundational improvements can be readily shared and adopted.

Work Schedule: Standard 40-hour work week, with flexibility inherent in the hybrid model. Core hours will likely be emphasized for team collaboration and meetings.

📝 Enhancement Note: The hybrid model in the San Francisco Bay Area offers a balance of flexibility and in-person collaboration. The emphasis on "developer experience" suggests a workspace designed to minimize friction and maximize productivity for engineers.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screen: A recruiter or hiring manager will assess overall fit, experience level, and alignment with the role's core requirements.

• Technical Interviews: Likely a series of interviews focusing on:

  • Frontend Architecture & Systems Design: Discussing complex architectural challenges, trade-offs, and solutions for scalable frontend platforms.
  • Performance Optimization: Deep dives into diagnosing and resolving performance issues, establishing performance budgets, and implementing optimizations.
  • Developer Tooling & CI/CD: Exploring experience with build systems, pipelines, and internal developer tools.
  • AI/LLM in Engineering: Assessing understanding and practical experience with AI-agent-driven workflows, LLM applications, and potential for automation.
  • Coding Exercise/Take-Home: May involve a practical coding challenge or a take-home assignment focusing on a specific area of frontend engineering or tooling.

• Staff-Level Discussion: A discussion focused on technical leadership, mentorship, strategic thinking, and driving consensus on ambiguous problems. This might involve reviewing past projects or architectural proposals.

• Hiring Manager/Team Chat: To assess cultural fit, collaboration style, and alignment with team values.

Portfolio Review Tips:

• Focus on Impact: Clearly articulate the problem, your solution, and the measurable impact (e.g., X% improvement in load time, Y% increase in developer velocity, Z% reduction in bundle size).

• Showcase Breadth and Depth: Include examples that demonstrate both deep frontend expertise and strong systems/infrastructure thinking.

• Highlight AI/Automation Experience: Dedicate a section or specific case studies to your work with AI-agent-driven workflows, LLMs, or automation initiatives.

• Structure for Clarity: Organize your portfolio logically, perhaps by skill area or project type, with concise descriptions and clear takeaways.

• Be Ready to Discuss: Prepare to walk through your projects in detail, explaining your decision-making process, trade-offs considered, and challenges overcome.

Challenge Preparation:

• System Design: Practice designing scalable, performant, and maintainable frontend systems. Consider aspects like micro-frontends, state management, module federation, and performance budgets.

• AI/Automation Scenarios: Think about common engineering bottlenecks and brainstorm how AI agents or LLMs could automate or optimize those processes. Be ready to propose specific workflows.

• Technical Leadership: Prepare examples of how you've influenced technical direction, mentored engineers, resolved cross-team conflicts, and driven consensus on complex architectural decisions.

• Communication: Practice articulating technical concepts clearly and concisely to both technical and non-technical audiences.

📝 Enhancement Note: The interview process for a Staff Engineer will be rigorous, focusing on deep technical expertise, strategic impact, and leadership capabilities. A well-curated portfolio that specifically highlights AI/automation experience will be a significant advantage.

🛠 Tools & Technology Stack

Primary Tools:

• Frontend Frameworks: React (primary focus), potentially others like Vue.js or Angular for comparison or legacy systems.

• Build Tools: Webpack, Rollup, Vite, or newer monorepo build tools like Nx.

• Testing Frameworks: Jest, React Testing Library, Cypress, Playwright.

• Languages: JavaScript, TypeScript.

Analytics & Reporting:

• Internal Developer Metrics: Tools for tracking build times, CI/CD success rates, deployment frequency, and developer satisfaction surveys.

• Performance Monitoring: Tools like Lighthouse, WebPageTest, browser developer tools, and potentially APM tools for frontend performance.

• Data Visualization: Tools like Tableau, Looker, or Amplitude's own platform for analyzing engineering productivity and system performance.

CRM & Automation:

• Version Control: Git (GitHub, GitLab, Bitbucket).

• CI/CD Platforms: Jenkins, CircleCI, GitHub Actions, GitLab CI.

• AI/LLM Platforms: Experience with OpenAI API, Azure OpenAI, or other LLM providers; potentially custom agent frameworks.

• Workflow Automation: Tools for orchestrating AI agents and engineering tasks.

📝 Enhancement Note: While specific tools can vary, the emphasis is on modern, scalable frontend development practices, robust CI/CD, and emerging AI/LLM technologies for automation. TypeScript is almost certainly a requirement given its prevalence in modern frontend development.

👥 Team Culture & Values

Operations Values:

• Growth Mindset: Encouraging continuous learning, experimentation, and embracing challenges as opportunities for development.

• Ownership: Taking responsibility for the success of the UI Foundations and its impact on the entire engineering organization.

• Humility: Approaching problems with an open mind, valuing diverse perspectives, and being willing to learn from others.

• Customer-Centricity (Internal): Focusing on the needs and pain points of internal product engineering teams as the primary "customers" of the UI Foundations.

• Data-Driven: Utilizing data and metrics to inform decisions, measure impact, and drive continuous improvement in performance and efficiency.

Collaboration Style:

• Cross-Functional Integration: Actively seeking input and feedback from product engineers, designers, and platform teams to ensure solutions are practical and effective.

• Knowledge Sharing: Proactively sharing insights, best practices, and learnings through documentation, presentations, and code reviews.

• Mentorship & Support: Providing guidance and support to other engineers, fostering a collaborative environment where complex challenges can be tackled together.

• Iterative Improvement: Embracing an iterative approach to development and process refinement, encouraging experimentation and feedback loops.

📝 Enhancement Note: Amplitude's stated values of humility, ownership, and growth mindset are crucial for a team focused on foundational infrastructure. The collaboration style will be key to ensuring adoption and impact across the organization, especially when introducing new technologies like AI agents.

⚡ Challenges & Growth Opportunities

Challenges:

• Balancing Foundational vs. Product Needs: Ensuring that investments in core infrastructure directly address the most critical pain points of product teams, rather than becoming an academic exercise.

• Pioneering AI Automation: Effectively identifying, implementing, and scaling AI-agent-driven workflows in a way that is reliable, secure, and demonstrably increases engineering velocity without introducing new complexities.

• Driving Consensus on Ambiguous Architecture: Influencing and gaining buy-in for architectural decisions across a diverse engineering organization, especially for cross-cutting concerns.

• Keeping Pace with Frontend Evolution: Continuously evaluating and integrating new frontend technologies and best practices while maintaining a stable and performant platform.

Learning & Development Opportunities:

• AI in Engineering: Deep dive into the practical application of LLMs and AI agents for software development, including agent orchestration and evaluation frameworks.

• Advanced Frontend Architecture: Explore and implement cutting-edge patterns in micro-frontends, module federation, and advanced state management.

• Performance Engineering Mastery: Become an expert in diagnosing and optimizing complex performance issues across the entire frontend stack.

• Technical Leadership Development: Opportunities to hone skills in mentorship, strategic planning, and influencing technical direction at a senior level.

📝 Enhancement Note: This role presents significant opportunities to work at the forefront of both frontend engineering best practices and AI integration in development workflows, offering substantial learning and growth potential.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you significantly improved the performance of a large-scale frontend application. What was your process, and what were the measurable outcomes?" (Focus on methodology, data, and impact).

• "How would you approach building a 'software factory' using AI agents to automate common engineering tasks? What are the key components and challenges?" (Assess understanding of AI automation, workflow design, and potential pitfalls).

• "Imagine you need to introduce a new micro-frontend architecture to a team resistant to change. How would you gain consensus and ensure adoption?" (Focus on influence, communication, and change management).

• "What are the biggest challenges in managing shared frontend infrastructure across multiple product teams, and how do you address them?" (Assess understanding of cross-functional alignment, consistency, and developer experience). Company & Culture Questions:

• "How do Amplitude's values (humility, ownership, growth mindset) align with your approach to technical leadership and problem-solving?" (Prepare examples that demonstrate these values).

• "What do you see as the biggest opportunities and challenges for a company like Amplitude in leveraging AI for engineering productivity?" (Showcase research and forward-thinking).

• "How would you collaborate with product engineering teams to ensure the UI Foundations meet their evolving needs?" (Focus on communication, empathy, and partnership). Portfolio Presentation Strategy:

• Structure for Impact: Start with your most significant achievements, especially those involving AI/automation or complex architectural challenges.

• Quantify Everything: For each project, clearly state the problem, your solution, and the quantifiable results (e.g., performance gains, time savings, adoption rates).

• Explain Your Role: Be clear about your specific contributions, especially in team-based projects.

• Discuss Trade-offs: Be prepared to talk about the decisions you made, why you made them, and what alternatives you considered.

• AI/LLM Focus: If you have relevant AI/LLM projects, dedicate specific slides or time to explaining the technology, the implementation, and the impact.

📝 Enhancement Note: Preparation should focus on demonstrating deep technical expertise, strategic thinking, leadership qualities, and a proactive approach to leveraging emerging technologies like AI in an engineering context.

📌 Application Steps

To apply for this Staff Software Engineer position:

• Submit your application through the provided link on Ashby.

• Portfolio Customization: Curate a portfolio that prominently features your experience in frontend architecture, performance optimization, developer tooling, and critically, any work or strong conceptual understanding of AI-agent-driven workflows or LLM applications in engineering. Use case studies to demonstrate measurable impact.

• Resume Optimization: Tailor your resume to highlight achievements and responsibilities that align with Staff-level impact, focusing on technical leadership, architectural ownership, and experience with foundational systems and automation. Integrate keywords like "React," "frontend architecture," "performance optimization," "developer experience," and "AI automation."

• Interview Preparation: Practice articulating your experience with system design challenges, performance tuning, and AI-driven automation. Be ready to discuss your approach to technical leadership, mentorship, and driving consensus. Prepare to walk through your portfolio with clarity and impact.

• Company Research: Familiarize yourself with Amplitude's product, AI-first strategy, and company values. Understand how the UI Foundations team contributes to the company's overall mission and how AI plays a role in their future.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.