Staff Software Engineer- UI Foundations Team

📍 Job Overview

Job Title: Staff Software Engineer - UI Foundations Team

Company: Amplitude

Location: San Francisco, CA

Job Type: Full-Time

Category: Engineering - Frontend Infrastructure / Developer Productivity

Date Posted: 2026-08-13T21:22:35

Experience Level: Staff (10+ years)

Remote Status: Hybrid

🚀 Role Summary

• Drive architectural vision and technical direction for Amplitude's frontend platform, impacting all product engineers.

• Lead the development and implementation of AI-agent-driven engineering workflows, aiming to automate and accelerate development processes.

• Champion and implement strategies to significantly enhance frontend application performance and developer experience (DevX) across the organization.

• Provide senior technical leadership, mentorship, and architectural guidance to frontend engineers and cross-functional teams.

📝 Enhancement Note: This role is positioned as a high-leverage, low-oversight Staff Engineer position, indicating a significant focus on strategic technical leadership and autonomous execution rather than task-based execution. The emphasis on "UI Foundations" and "software factory" points to a core infrastructure role focused on empowering other engineering teams through robust systems and cutting-edge automation.

📈 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 strategies.

• Diagnose and resolve systemic frontend application performance issues, such as bundle size, load times, runtime performance, and rendering bottlenecks, while establishing scalable performance budgets and guardrails.

• Design, build, and maintain the build systems, local development environments, CI/CD pipelines, linting/code generation tools, and internal tooling crucial for daily engineering operations.

• Identify and address the most significant bottlenecks in the engineering workflow by developing AI-agent-driven automation, iteratively improving engineering velocity and reducing manual effort.

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

• Collaborate closely with product engineering teams, design systems, and platform/infrastructure teams to ensure foundational investments directly address and solve real product-team pain points.

📝 Enhancement Note: The responsibilities highlight a dual focus on foundational frontend engineering excellence (architecture, performance, DevX) and pioneering the use of AI agents for engineering automation. The "software factory" concept is central, emphasizing the creation of autonomous, self-improving engineering workflows.

🎓 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, demonstrating a solid understanding of theoretical concepts.

Experience: A proven track record of operating at a Staff Software Engineer level or demonstrating equivalent scope and impact in previous roles is essential, typically requiring 10+ years of progressive software engineering experience.

Required Skills:

• Deep expertise in modern frontend architecture, with a strong preference for React or equivalent component-based frameworks.

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

• Demonstrated experience in 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 has 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 well-defined perspective on their development.

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

• Excellent communication and written skills, with the ability to influence through technical documents, proposals, design reviews, and cross-team discussions. Preferred Skills:

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

• Familiarity with micro-frontend architectures and their implementation challenges.

• Experience with large-scale frontend platform migrations.

• Understanding of 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 qualifications emphasize a unique blend of deep frontend expertise and strong infrastructure/systems thinking. The explicit requirement for experience or a strong point of view on AI-agent-driven workflows signifies a forward-looking aspect of the role, crucial for understanding the "software factory" objective.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase of architectural designs for complex frontend systems, illustrating decision-making rationale, trade-offs, and scalability considerations.

• Examples of implemented performance optimizations with quantifiable metrics demonstrating improvements in load times, bundle sizes, or runtime performance.

• Case studies of internal developer tools or platform infrastructure developed, highlighting the problem solved, the solution, and the measurable impact on developer productivity or efficiency.

• Demonstrations of contributions to CI/CD pipelines, build systems, or developer environments that streamlined workflows and reduced friction for engineering teams.

• Projects or contributions related to AI-agent-driven workflows, showcasing the application of LLMs or automation to engineering tasks, even if theoretical or experimental. Process Documentation:

• Documented examples of architectural decision-making processes, including proposals, review cycles, and final adopted patterns for frontend platforms.

• Evidence of establishing and enforcing performance budgets, guardrails, or testing frameworks for frontend applications.

• Workflow diagrams or descriptions of internal tooling implementation, including user onboarding, adoption strategies, and ongoing maintenance.

• Case studies detailing the iterative process of identifying engineering bottlenecks and implementing AI-driven solutions to address them.

📝 Enhancement Note: For a Staff-level role focused on foundational infrastructure and AI automation, the portfolio should emphasize strategic impact, architectural leadership, and measurable improvements in developer productivity and system performance. Demonstrating experience with complex system design and the ability to influence technical direction is paramount.

💵 Compensation & Benefits

Salary Range: Based on location (San Francisco, CA) and experience level (Staff/10+ years), the estimated salary range for this role is between $192,000 - $264,000 per year. This range includes base salary and potential bonuses/commissions, aligning with the provided California salary legislation.

Benefits:

• Comprehensive Medical, Dental, and Vision insurance coverage with 100% employer-paid premiums for employees on select plans.

• Flexible time off policies and paid holidays.

• Generous stipends: monthly wellness and commuter transit/parking, quarterly learning and development, and annual home office equipment.

• Excellent Parental benefits, including 12-20 weeks of Paid Parental Leave, Carrot Fertility Benefits (adoption/surrogacy support), and Back-up Child Care support.

• Mental health and wellness support through no-cost employee access to Modern Health coaching & therapy sessions.

• High-quality physician office experience via One Medical membership (select U.S. locations).

• Employee Stock Purchase Program (ESPP).

Working Hours: The role is structured around a standard 40-hour work week, with flexibility inherent in a hybrid work arrangement, allowing for focused work and collaborative sessions.

📝 Enhancement Note: The salary range provided in the input data for California ($192,000 - $264,000) is used directly. The benefits are comprehensive and tailored to support employee well-being and professional development, which are key attractions for senior engineering talent.

🎯 Team & Company Context

🏢 Company Culture

Industry: Digital Analytics and AI Platform. Amplitude operates in the rapidly evolving SaaS sector, providing a leading AI-first digital analytics platform that empowers businesses to understand and improve digital product experiences. This context means a fast-paced environment driven by innovation and data-driven decision-making.

Company Size: Amplitude is a publicly traded company (AMPL) founded in 2012, indicating a mature but still growing organization with established processes and a significant market presence. The company has offices globally, suggesting a diverse and distributed workforce.

Founded: 2012. This founding year implies a company with a solid track record, having navigated market shifts and product development cycles, now focusing on leveraging AI to enhance its offerings.

Team Structure:

• The UI Foundations team is a specialized engineering group focused on frontend infrastructure, architecture, performance, and developer experience.

• The team operates with a high degree of autonomy, as indicated by the "low-oversight" nature of the Staff Engineer role.

• Collaboration is expected across product engineering teams, design systems, and broader platform/infrastructure teams to ensure foundational investments align with product needs. Methodology:

• Data-driven decision-making is fundamental, as Amplitude itself is an analytics platform. This translates to a culture that values metrics, experimentation, and evidence-based approaches.

• Focus on continuous improvement and iteration, especially concerning developer productivity and the adoption of new technologies like AI agents.

• Emphasis on ownership, humility, and a growth mindset, encouraging proactive problem-solving and learning from both successes and failures.

Company Website: https://amplitude.com

📝 Enhancement Note: The company culture is described as valuing humility, ownership, and a growth mindset. This, combined with Amplitude's position as a leading AI analytics platform, suggests an environment where engineers are encouraged to take initiative, learn continuously, and contribute to impactful, innovative solutions. The specific mention of AI agents in the role description aligns directly with Amplitude's "AI-first" positioning.

📈 Career & Growth Analysis

Operations Career Level: This role is at the Staff Software Engineer level, signifying a senior individual contributor with broad technical influence. It demands a deep understanding of frontend architecture, infrastructure, performance optimization, and developer tooling, coupled with the strategic vision to lead foundational initiatives and drive significant improvements in engineering velocity. The role is expected to set technical direction and mentor other engineers.

Reporting Structure: While the specific reporting line isn't detailed, Staff Engineers typically report to Engineering Managers or Directors of Engineering. They are expected to work closely with other senior engineers, product managers, and cross-functional teams, acting as a technical anchor for the UI Foundations team and influencing the broader frontend organization.

Operations Impact: The impact of this role is substantial, directly influencing the productivity, efficiency, and technical capabilities of every product engineer at Amplitude. By improving the frontend platform, performance, and developer experience, this role contributes significantly to the speed of product development, the quality of user-facing applications, and the overall scalability of the engineering organization. The focus on AI-agent-driven automation promises to redefine engineering workflows and accelerate innovation.

Growth Opportunities:

• Technical Specialization: Deepen expertise in cutting-edge areas like AI-driven engineering, advanced frontend architecture patterns, and large-scale system performance.

• Technical Leadership: Advance to Principal or Distinguished Engineer roles, taking on even broader architectural responsibilities and setting technical strategy for larger domains.

• Mentorship & Influence: Grow influence across the entire engineering organization, mentoring a wider range of engineers and shaping technical culture and best practices.

• Cross-functional Impact: Lead initiatives that span multiple engineering teams or even departments, driving significant strategic projects.

📝 Enhancement Note: The Staff level implies a significant scope of influence and responsibility. Growth opportunities are geared towards increasing technical leadership, strategic impact, and mentorship capabilities within a rapidly evolving, AI-focused technology company.

🌐 Work Environment

Office Type: Amplitude operates a hybrid work model. This typically means a combination of in-office collaboration and remote work, allowing for flexibility while maintaining opportunities for in-person team interaction and focused work.

Office Location(s): The role is based in San Francisco, CA, with offices also located in New York, Vancouver, Amsterdam, London, Paris, Singapore, and Tokyo. This indicates a global company with a significant presence in major tech hubs.

Workspace Context:

• The San Francisco office likely provides a collaborative environment conducive to the hybrid model, with spaces designed for team meetings, design sessions, and focused individual work.

• Access to modern development tools and technologies is a given, as Amplitude is an AI-first analytics platform. This role will involve working with sophisticated build systems, CI/CD infrastructure, and potentially cutting-edge AI tooling.

• Opportunities for interaction with product engineers, design systems specialists, and other platform/infrastructure teams are integrated into the hybrid workflow, facilitating cross-functional alignment and knowledge sharing.

Work Schedule: Standard full-time working hours (approx. 40 hours/week) are expected, with flexibility typically afforded by the hybrid model. This allows engineers to balance personal needs with project demands, ensuring adequate time for both collaborative work and deep, focused technical tasks.

📝 Enhancement Note: The hybrid model in San Francisco suggests a modern workspace designed to foster collaboration while respecting individual work preferences. The role's focus on foundational infrastructure and AI automation implies access to advanced development tools and a dynamic, forward-thinking work environment.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review your application and resume to assess alignment with the core requirements.

• Technical Phone Screen: Expect a discussion focused on your frontend expertise, infrastructure experience, and understanding of performance optimization and developer tooling.

You may be asked to elaborate on specific projects.

• On-site/Virtual Loop (Multiple Rounds): This typically involves:
  • System Design Interview: Focusing on architectural decisions for frontend platforms, micro-frontends, or developer tooling.
  • Coding/Problem-Solving Interview: Demonstrating proficiency in modern frontend development, potentially including performance tuning or automation scripting.
  • Behavioral/Leadership Interview: Assessing your approach to technical leadership, mentorship, collaboration, conflict resolution, and alignment with Amplitude's values (ownership, humility, growth mindset).
  • AI/Automation Focus Interview: Deep dive into your experience or perspective on AI-agent-driven workflows, LLM applications in engineering, and your vision for a "software factory."
  • Hiring Manager/Team Lead Interview: A final discussion to assess overall fit, clarify role expectations, and answer your questions.

Portfolio Review Tips:

• Highlight Impact: For each project, clearly articulate the problem you solved, the solution you implemented, and the quantifiable impact (e.g., performance gains, developer time saved, adoption rates).

• Showcase Architecture: For architectural contributions, present diagrams, decision logs, and explain the trade-offs considered. Emphasize scalability and maintainability.

• Demonstrate DevX Focus: If showcasing developer tooling, explain how it improved the daily lives and productivity of other engineers.

• AI/Automation Evidence: If you have direct experience, present case studies of AI-driven workflows. If not, present a well-reasoned proposal or vision for how AI could automate specific engineering tasks at Amplitude, demonstrating your strategic thinking.

• Conciseness is Key: Focus on 2-3 high-impact projects that best represent your qualifications for this specific Staff-level role.

Challenge Preparation:

• System Design: Practice designing scalable frontend architectures, build systems, and CI/CD pipelines. Think about how to incorporate AI agents into these systems.

• Performance Optimization: Be ready to discuss common performance bottlenecks and strategies for diagnosing and resolving them, including setting performance budgets.

• AI/Automation Strategy: Prepare to articulate your understanding of current AI capabilities in software engineering and how you would approach building an "agentic software factory." Consider potential challenges and how to mitigate them.

• Behavioral Questions: Prepare STAR method (Situation, Task, Action, Result) examples that showcase your leadership, problem-solving, and collaborative skills, particularly in ambiguous situations.

📝 Enhancement Note: The interview process for a Staff Engineer role is rigorous, focusing heavily on strategic thinking, architectural depth, and leadership potential. Specific emphasis will be placed on your ability to drive technical direction and your understanding of AI's role in future engineering workflows.

🛠 Tools & Technology Stack

Primary Tools:

• Frontend Frameworks: Deep expertise in React or equivalent component frameworks is essential.

• Build Systems: Experience with modern build tools (e.g., Webpack, Vite, esbuild) and potentially monorepo tooling (e.g., Nx, Lerna) is highly valued.

• Version Control: Git is standard.

• CI/CD Platforms: Familiarity with tools like Jenkins, GitHub Actions, GitLab CI, CircleCI for automating build, test, and deployment pipelines.

Analytics & Reporting:

• While not directly responsible for the Amplitude product's analytics features, a strong understanding of how to instrument frontend applications for performance monitoring and user behavior analysis is beneficial. Experience with performance monitoring tools (e.g., Lighthouse, WebPageTest, Datadog RUM) is relevant. CRM & Automation:

• AI/LLM Tools: Hands-on experience with AI agents, LLMs (e.g., OpenAI API, Anthropic Claude), and frameworks for building agentic workflows is a key differentiator.

• Automation Scripting: Proficiency in scripting languages (e.g., Python, Node.js) for automating tasks within build systems and CI/CD pipelines.

• Internal Tooling: Experience developing and maintaining internal developer tools, command-line interfaces (CLIs), or custom build scripts.

📝 Enhancement Note: The technology stack emphasizes modern frontend development practices, robust infrastructure tooling, and a forward-looking requirement for AI and LLM integration. A strong understanding of how these components integrate to form a cohesive and efficient developer workflow is critical.

👥 Team Culture & Values

Operations Values:

• Growth Mindset: Embracing challenges as learning opportunities, seeking continuous improvement in personal skills and team processes. This means being open to new technologies like AI agents and adapting quickly.

• Ownership: Taking responsibility for the frontend platform's health, performance, and the developer experience, proactively identifying and solving problems without direct oversight.

• Humility: Approaching problems with an open mind, valuing diverse perspectives, and being willing to admit mistakes and learn from them. This fosters psychological safety and effective collaboration.

• Customer Centricity: While this role serves internal engineers (product teams), the ultimate goal is to enable them to build better products for Amplitude's external customers. Decisions should reflect this ultimate objective.

Collaboration Style:

• Cross-functional Integration: Actively partnering with product engineers, design systems, and platform teams to ensure alignment and shared understanding of frontend infrastructure needs and capabilities.

• Technical Influence: Leading through proposals, documentation, and thoughtful design reviews rather than strict authority, fostering buy-in and consensus.

• Mentorship & Knowledge Sharing: Proactively mentoring other engineers, sharing best practices, and contributing to a culture of continuous learning and collective problem-solving.

• Iterative Development: Embracing an agile approach to building and refining platform features and automation, gathering feedback and iterating quickly.

📝 Enhancement Note: The team culture is deeply intertwined with Amplitude's core values. For this role, demonstrating how you embody these values—particularly in driving innovation with AI, taking ownership of complex infrastructure, and collaborating effectively—will be crucial.

⚡ Challenges & Growth Opportunities

Challenges:

• Balancing Foundational Work with Product Needs: Ensuring that investments in platform infrastructure and developer experience directly support and accelerate product development, rather than becoming a bottleneck.

• Pioneering AI Automation: Navigating the evolving landscape of AI agents and LLMs to build reliable, scalable, and impactful automation for engineering workflows, which may involve experimentation and iteration.

• Driving Consensus on Ambiguous Architectural Decisions: Influencing a diverse group of engineers and stakeholders on complex, cross-cutting technical decisions without direct authority.

• Maintaining Performance at Scale: Continuously optimizing frontend performance for a growing user base and increasingly complex applications, while establishing robust performance budgets.

Learning & Development Opportunities:

• Cutting-Edge AI Integration: Gaining hands-on experience with the latest AI technologies and their application in software engineering, positioning you at the forefront of this technological shift.

• Architectural Leadership: Developing and refining your ability to define and lead technical strategy for critical platform components, impacting a large engineering organization.

• Mentorship & Influence: Honing your skills in mentoring senior engineers and influencing technical direction across multiple teams.

• Industry Exposure: Potential opportunities to engage with industry conferences, research, and communities focused on frontend architecture, developer productivity, and AI in software engineering.

📝 Enhancement Note: The role presents significant opportunities to tackle complex, forward-looking challenges in frontend infrastructure and AI automation, with corresponding growth in technical leadership and strategic influence.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you significantly improved the developer experience for a large engineering team. What was the impact?" (Focus on metrics and process improvement).

• "How would you approach building an 'AI-driven software factory' at Amplitude? What are the biggest technical and organizational hurdles?" (Demonstrate strategic thinking on AI automation).

• "Walk us through a complex frontend architectural decision you made. What were the trade-offs, and how did you gain consensus?" (Showcase technical judgment and influence).

• "How do you establish and enforce performance budgets for a large frontend application? Provide examples." (Highlight performance optimization expertise).

• "What is your philosophy on frontend architecture, especially concerning module boundaries, micro-frontends, and shared component libraries?" (Assess architectural depth). Company & Culture Questions:

• "How do Amplitude's values (ownership, humility, growth mindset) align with your approach to engineering and collaboration?" (Prepare STAR examples).

• "What excites you most about Amplitude's mission and its position as an AI-first analytics platform?" (Show research and genuine interest).

• "How would you integrate with our product engineering teams and design systems team to ensure our foundational work meets their needs?" (Demonstrate cross-functional collaboration skills). Portfolio Presentation Strategy:

• Structure: Organize your portfolio around key themes: Architectural Leadership, Performance Optimization, Developer Productivity Tools, and AI/Automation Initiatives.

• Quantify Impact: For each project, clearly state the problem, your solution, and the measurable outcomes (e.g., "Reduced bundle size by 30%", "Decreased build times by 50%", "Improved code generation accuracy").

• Tell a Story: Frame your contributions as narratives that highlight your strategic thinking, problem-solving abilities, and impact.

• Be Prepared to Deep Dive: Anticipate questions about technical details, trade-offs, challenges encountered, and lessons learned for each presented project.

• Focus on Relevance: Prioritize examples that directly map to the requirements of the Staff Engineer, UI Foundations role, especially those involving infrastructure, performance, DevX, and AI.

📝 Enhancement Note: Interview preparation should focus on demonstrating deep technical expertise, strategic leadership, and a forward-thinking approach, particularly concerning AI's role in engineering. Quantifiable results and well-articulated architectural decisions will be key.

📌 Application Steps

To apply for this Staff Software Engineer position:

• Submit your application through the provided link on Greenhouse.

• Curate Your Resume: Tailor your resume to highlight your experience with frontend architecture, infrastructure engineering, performance optimization, developer tooling, and any work related to AI/LLM-driven workflows. Use keywords from the job description.

• Prepare Your Portfolio: Select 2-3 key projects that best showcase your impact at a Staff level. Focus on architectural leadership, measurable improvements in performance or developer experience, and any experience with automation or AI. Be ready to present these projects with clear metrics and discuss your decision-making process.

• Research Amplitude: Understand their product, their position in the market as an AI-first analytics platform, and their stated values. Prepare to discuss how your skills and approach align with their culture and technical direction.

• Practice Interview Scenarios: Rehearse answers to common Staff Engineer interview questions, focusing on system design, behavioral aspects, and your vision for AI in engineering. Prepare to articulate your thought process clearly and concisely.

⚠️ 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.

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