Staff Software Engineer- UI Foundations Team

📍 Job Overview

Job Title: Staff Software Engineer - UI Foundations Team

Company: Amplitude

Location: Remote - USA

Job Type: Full-Time

Category: Software Engineering / Frontend Infrastructure

Date Posted: 2026-08-13

Experience Level: Staff Level (10+ years)

Remote Status: Fully Remote

🚀 Role Summary

• Lead the architectural evolution and technical direction for Amplitude's frontend platform, focusing on scalability, performance, and developer experience.

• Drive the development and implementation of AI-agent-driven "software factory" workflows to significantly enhance engineering velocity across the organization.

• Champion best practices in frontend development, infrastructure, and performance optimization, acting as a technical authority for the broader engineering team.

• Collaborate closely with product engineering, design systems, and platform teams to ensure foundational investments align with and address real product team needs.

• Mentor senior engineers and influence technical decisions across the frontend organization through clear communication and strategic vision.

📝 Enhancement Note: This role is positioned at a Staff level, indicating a significant degree of autonomy and influence. The emphasis on "UI Foundations" and "Software Factory" with AI agents points towards a highly specialized role focused on enabling other engineering teams through robust infrastructure and cutting-edge automation, rather than direct product feature development.

📈 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, fix, and establish proactive measures for systemic frontend performance issues, such as bundle size, load times, runtime performance, and rendering bottlenecks, including defining and enforcing performance budgets.

• Design, build, and maintain critical developer experience elements, including build systems, local development environments, CI/CD pipelines, linting/codegen tools, and internal developer tooling.

• Identify and address the most significant bottlenecks in the engineering workflow by building and iterating on AI-agent-driven automation, focusing on areas like autonomous code generation, validation, and migration.

• Set technical direction and establish standards for the entire frontend organization, providing technical leadership and mentorship to senior and staff-track engineers.

• Review architecture proposals from other teams that intersect with or depend on shared frontend infrastructure, ensuring alignment and best practices.

• Partner cross-functionally with product engineering teams, design systems, and platform/infrastructure teams to ensure foundational investments effectively solve product team pain points and drive adoption.

📝 Enhancement Note: The responsibilities highlight a dual focus: deep technical ownership of frontend infrastructure and a forward-thinking approach to leveraging AI for engineering automation. The "Software factory / agentic workflows" responsibility is particularly critical and suggests a need for candidates with a strong understanding of current AI/LLM capabilities in software development.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong academic foundation in Computer Science or a related field is generally expected for Staff-level engineering roles.

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

Required Skills:

• Deep expertise in modern frontend architecture, particularly with component-based frameworks like React.

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

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

• Proven track record of 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 well-articulated vision for building them.

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

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

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

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

• Prior experience leading large-scale frontend platform migrations.

• Familiarity with design systems and the architecture of component libraries.

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

📝 Enhancement Note: The emphasis on "Staff level or equivalent scope/impact" suggests that candidates with significant experience leading technical initiatives and influencing architectural decisions, even if not formally titled "Staff Engineer," will be strongly considered. The combination of deep frontend expertise and infrastructure/systems thinking is crucial.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrations of significant contributions to frontend architecture, showcasing evolution of module boundaries, component systems, or state management strategies.

• Case studies detailing improvements in frontend application performance, including specific metrics achieved (e.g., reduction in bundle size, faster load times, improved runtime performance).

• Examples of internal developer tooling or platform infrastructure built, with clear evidence of measurable improvements in developer velocity or efficiency.

• Projects or contributions that illustrate experience with AI-agent-driven workflows, showcasing problem identification and implementation of AI-powered solutions for engineering challenges.

• Artifacts that demonstrate technical leadership, such as architectural proposals, design documents, or contributions to technical standards. Process Documentation:

• Documented processes for architectural decision-making and consensus-building within engineering teams.

• Workflows for identifying, diagnosing, and resolving systemic performance issues in large-scale frontend applications.

• Methodologies for evaluating and implementing new build tooling, CI/CD practices, or developer environments to enhance productivity.

• Frameworks for designing and managing AI-agent-driven workflows, including problem definition, tool selection, implementation, and iterative refinement.

• Processes for cross-functional collaboration, ensuring alignment between foundational infrastructure teams and product engineering teams.

📝 Enhancement Note: Given the "Staff" level and focus on infrastructure and AI automation, candidates should be prepared to showcase not just code, but also the strategic thinking, process design, and impact measurement behind their work. Portfolio pieces should highlight leadership, problem-solving at scale, and forward-thinking adoption of new technologies like AI.

💵 Compensation & Benefits

Salary Range: Based on provided location-specific ranges and the Staff level experience required, the estimated salary range for this position is:

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

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

Benefits:

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

• Flexible time off, paid holidays, and generous stipends for wellness, commuter transit, learning and development, and home office equipment.

• Excellent Parental benefits, including 12-20 weeks of Paid Parental Leave, fertility benefits, adoption/surrogacy support, and back-up child care support.

• Mental health and wellness benefits, including no-cost access to Modern Health coaching & therapy sessions and a One Medical membership (select U.S. locations).

• Employee Stock Purchase Program (ESPP).

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

Working Hours: A standard 40-hour work week is assumed, with flexibility inherent in a remote, Staff-level position. The focus is on outcomes and impact rather than strict adherence to office hours.

📝 Enhancement Note: The salary ranges provided are for base salary and may include bonus or commission. The specific range depends on the state where the employee is located, reflecting regional compensation differences. The benefits package is robust, emphasizing employee well-being and professional development, which is attractive for senior engineering talent.

🎯 Team & Company Context

🏢 Company Culture

Industry: Digital Analytics Platform (SaaS) powered by AI.

Company Size: Amplitude is a publicly traded company (AMPL), indicating a significant size, likely in the range of 1,000-5,000 employees based on typical public tech company profiles. The description mentions "over 4,700 customers," further supporting a large, established organization.

Founded: 2012.

Team Structure:

• The UI Foundations team is a specialized, high-leverage group within the broader engineering organization, focused on core frontend infrastructure.

• This role operates with "low-oversight," suggesting a flat hierarchy for senior technical contributors, with significant autonomy in setting technical direction.

• Collaboration is expected across various engineering teams, including product engineering, design systems, and other platform/infrastructure teams. Methodology:

• Data-driven decision-making is central, as Amplitude is an analytics company.

• A strong emphasis is placed on building scalable, reliable platform infrastructure.

• The role requires a forward-thinking approach to automation, particularly leveraging AI agents and LLMs to optimize engineering workflows.

• Values of humility, ownership, growth mindset, and customer-centricity are deeply embedded.

Company Website: amplitude.com

📝 Enhancement Note: Amplitude's culture emphasizes learning, ownership, and customer focus. The "Staff Software Engineer" role within "UI Foundations" signifies a critical position responsible for enabling the productivity of many other engineers. The company's focus on AI analytics suggests a natural inclination towards adopting AI in internal development processes as well.

📈 Career & Growth Analysis

Operations Career Level: Staff Software Engineer. This level signifies a senior individual contributor role with broad technical influence and responsibility. Staff engineers are expected to tackle the most complex technical challenges, set technical direction, mentor others, and drive cross-team initiatives. They are key architects and leaders within the engineering organization.

Reporting Structure: While not explicitly detailed, a Staff Engineer typically reports to an Engineering Manager or Director. They are expected to operate with significant autonomy and influence technical decisions across multiple teams, often acting as a technical lead or architect for foundational areas.

Operations Impact: The impact of this role is significant and indirect but foundational. By improving the frontend platform, build systems, and developer experience, this engineer will directly amplify the productivity and efficiency of all product engineers at Amplitude. The development of AI-agent-driven workflows will further scale engineering capacity, allowing the company to innovate faster and deliver more value to its customers.

Growth Opportunities:

• Technical Specialization & Leadership: Deepen expertise in frontend architecture, performance optimization, and AI-driven development workflows, becoming a recognized authority in these areas.

• Architectural Influence: Lead architectural design for major frontend platform initiatives, influencing the technical roadmap for the entire frontend organization.

• Mentorship & Team Building: Mentor junior and senior engineers, fostering a culture of technical excellence and continuous learning. Potentially contribute to building out new capabilities within the UI Foundations team.

• Cross-Functional Impact: Drive strategic technical initiatives that span multiple departments, gaining broader organizational visibility and influence.

• Emerging Technologies: Gain hands-on experience and leadership in applying cutting-edge AI technologies to solve complex engineering problems, positioning oneself at the forefront of developer productivity trends.

📝 Enhancement Note: The Staff Engineer role at Amplitude is about making a significant impact through leverage. Growth here is less about climbing a traditional management ladder and more about deepening technical expertise, expanding influence, and leading complex, high-impact technical initiatives.

🌐 Work Environment

Office Type: Amplitude operates a hybrid work model in some locations (e.g., San Francisco Bay Area), but this specific role is advertised as "Remote - USA." This indicates a predominantly remote-first or remote-friendly environment for this position.

Office Location(s): While the role is remote within the USA, Amplitude has physical offices in San Francisco (HQ), New York, Vancouver, Amsterdam, London, Paris, Singapore, and Tokyo. This global presence suggests a company with a strong infrastructure for distributed collaboration.

Workspace Context:

• As a remote role, the primary workspace will be the employee's home office. Amplitude provides a generous annual stipend for home office equipment to ensure a productive setup.

• Collaboration will primarily occur through digital tools (Slack, video conferencing, documentation platforms), requiring strong asynchronous communication skills.

• The company culture emphasizes psychological safety and empathy, fostering an inclusive environment for remote team members.

• Access to modern digital collaboration tools and platforms is standard.

Work Schedule: The role is full-time, typically around 40 hours per week. While core business hours for collaboration are important, the remote nature and Staff level offer significant flexibility in managing one's schedule to achieve objectives and maintain work-life balance.

📝 Enhancement Note: The "Remote - USA" designation is key. While some locations mention hybrid, this specific role is fully remote within the US. Candidates should be comfortable with asynchronous communication and leveraging digital tools for collaboration. The home office stipend is a valuable perk for remote employees.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review your application and potentially conduct a brief call to assess basic qualifications and cultural fit.

• Technical Phone Screen: Expect a discussion focused on your frontend architecture, systems engineering experience, and approach to performance and developer experience challenges. This may involve high-level system design questions.

• On-site/Virtual Loop (Multiple Interviews):

  • System Design: A deep dive into designing scalable frontend architectures, considering performance, maintainability, and developer experience. Questions may involve micro-frontends, module federation, or building robust build systems.
  • Coding/Problem Solving: A session focused on practical coding skills, potentially involving complex algorithm problems or debugging scenarios relevant to frontend infrastructure.
  • Behavioral/Leadership: Interviews focused on your experience operating at a Staff level, driving technical consensus, mentoring, handling ambiguity, and collaborating across teams. Questions will likely probe your approach to ownership, growth mindset, and humility.
  • AI/LLM Workflow Focus: Specific questions or a dedicated session to assess your understanding and experience with AI-agent-driven workflows, LLM applications in engineering, and your vision for building an "AI software factory."

• Hiring Manager / Team Lead Chat: A final discussion to ensure alignment on role expectations, team dynamics, and career growth.

Portfolio Review Tips:

• Highlight Impact: For each project, clearly articulate the problem, your solution, the technologies used, and, most importantly, the quantifiable impact (e.g., performance gains, developer velocity improvements, adoption rates).

• Showcase Breadth: Include examples that demonstrate expertise in frontend architecture, performance optimization, build tooling, and ideally, experience with AI/LLM applications in engineering.

• Demonstrate Leadership: If possible, include examples where you led technical direction, mentored others, or drove consensus on complex architectural decisions.

• Process & Strategy: For your AI/LLM work, detail the process you followed: how you identified bottlenecks, experimented with tools, iterated on solutions, and measured success.

• Concise & Clear: Prepare a concise overview of your portfolio, ready to walk through key pieces during interviews. Ensure code samples (if shared) are clean and well-documented.

Challenge Preparation:

• System Design: Practice designing complex systems, focusing on trade-offs, scalability, reliability, and maintainability. Be prepared to discuss your reasoning.

• AI/LLM Workflow: Research current trends in AI for software development. Think critically about how LLMs can be integrated into engineering workflows beyond simple code generation (e.g., testing, debugging, documentation, migration). Develop a point of view on potential challenges and solutions.

• Behavioral: Prepare STAR method (Situation, Task, Action, Result) examples for common leadership, collaboration, and problem-solving scenarios relevant to a Staff Engineer.

📝 Enhancement Note: The interview process will heavily scrutinize your ability to think at a strategic, architectural level, your practical experience with modern frontend challenges, and your forward-thinking approach to AI in engineering. Be ready to articulate your vision for an AI-powered "software factory."

🛠 Tools & Technology Stack

Primary Tools:

• Frontend Frameworks: Deep expertise in React is required. Familiarity with other modern component frameworks may be beneficial.

• Build Systems: Experience with tools like Webpack, Rollup, Vite, or Bazel for managing large-scale frontend projects and monorepos.

• CI/CD Platforms: Proficiency with CI/CD pipelines (e.g., GitHub Actions, GitLab CI, Jenkins) for automating builds, tests, and deployments.

• Version Control: Git is a standard requirement.

• AI/LLM Tools: Experience with LLM APIs (e.g., OpenAI, Anthropic), agent frameworks (e.g., LangChain, LlamaIndex), and potentially custom AI tooling development.

Analytics & Reporting:

• Internal Tooling: Building and maintaining internal dashboards and reporting tools to monitor frontend performance, build times, and developer productivity metrics.

• Performance Monitoring: Tools for profiling and monitoring application performance in development and production.

CRM & Automation:

• While not directly CRM-focused, the role involves building automation for engineering workflows, which can be seen as a form of internal process automation.

• Integration Tools: Understanding of how to integrate various development tools and services to create seamless workflows.

📝 Enhancement Note: The technology stack emphasizes modern frontend development, robust build and deployment systems, and crucially, a forward-looking engagement with AI and LLM technologies. Candidates should be prepared to discuss their experience with these tools and their ability to integrate them effectively.

👥 Team Culture & Values

Operations Values:

• Growth Mindset: Embracing challenges, learning from failures, and continuously seeking self-improvement and new knowledge, especially in the rapidly evolving fields of frontend development and AI.

• Ownership: Taking full responsibility for the frontend platform, its performance, and the efficiency of engineering workflows, proactively identifying and solving problems.

• Humility: Approaching challenges with an open mind, seeking diverse perspectives, and being willing to learn from others, regardless of seniority or role.

• Customer-Centricity: Ensuring that foundational infrastructure investments directly address the pain points and needs of product engineering teams, ultimately leading to better customer outcomes.

Collaboration Style:

• Cross-Functional Integration: Actively collaborating with product engineers, designers, and other platform teams to ensure alignment and adoption of foundational improvements.

• Influence through Influence: Driving technical direction and consensus through clear documentation, well-reasoned proposals, and collaborative design discussions, rather than direct authority.

• Knowledge Sharing: Proactively sharing expertise, best practices, and insights on frontend architecture, performance, and AI automation through documentation, presentations, and mentorship.

• Iterative Improvement: Embracing an agile and iterative approach to building and refining both the frontend platform and AI-driven workflows, incorporating feedback and adapting as needed.

📝 Enhancement Note: The company values are deeply ingrained and directly influence how work is done. For this role, demonstrating a growth mindset in AI, taking ownership of the platform's success, and collaborating humbly to drive change will be key to fitting into the Amplitude culture.

⚡ Challenges & Growth Opportunities

Challenges:

• Balancing Foundational Work with Product Needs: Ensuring that investments in core infrastructure and AI automation provide tangible benefits to product teams without becoming disconnected from immediate product development priorities.

• Pace of AI Evolution: Keeping abreast of the rapid advancements in AI/LLM technology and effectively integrating new capabilities into engineering workflows before they become obsolete.

• Driving Adoption of New Workflows: Successfully introducing and encouraging the adoption of new, potentially disruptive AI-driven engineering workflows across a large organization.

• Ambiguity and Autonomy: Thriving in a low-oversight environment where setting technical direction for a critical foundational team requires strong self-direction and the ability to navigate ambiguity.

• Performance at Scale: Continuously optimizing frontend performance for a growing and complex platform, managing trade-offs between features, performance, and development speed.

Learning & Development Opportunities:

• Deep Dive into AI for Engineering: Gaining hands-on experience and leadership in applying cutting-edge AI/LLM technologies to solve real-world software engineering challenges, becoming an expert in this emerging field.

• Advanced Frontend Architecture: Leading architectural decisions for a large-scale, complex frontend platform, pushing the boundaries of modern frontend development practices.

• Developer Productivity & Workflow Optimization: Mastering the art and science of optimizing engineering workflows and developer experience through infrastructure and automation.

• Technical Leadership & Mentorship: Developing strong leadership skills by mentoring senior engineers and influencing technical strategy across an organization.

• Industry Engagement: Potential opportunities to speak at conferences, contribute to open source, or publish thought leadership on frontend infrastructure and AI in engineering.

📝 Enhancement Note: This role presents significant challenges related to the cutting edge of AI in engineering and the complexities of large-scale platform development. However, these challenges are directly tied to substantial growth opportunities in highly sought-after areas of expertise.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to drive a significant architectural change for a frontend platform. What was the challenge, how did you gain consensus, and what was the impact?" (Focus on process, leadership, and quantifiable results).

• "How would you approach building an 'AI software factory' at Amplitude? What are the key components, potential bottlenecks, and how would you measure success?" (Focus on vision, strategy, and understanding of AI/LLM capabilities).

• "Imagine a critical frontend performance issue arises that affects multiple product teams. How would you diagnose, prioritize, and resolve it, ensuring minimal disruption?" (Focus on problem-solving methodology, communication, and impact assessment). Company & Culture Questions:

• "How do Amplitude's values (humility, ownership, growth mindset, customer-centricity) align with your own working style, particularly in a Staff Engineer role?" (Prepare examples demonstrating these values).

• "How do you stay current with the rapidly evolving landscape of frontend technologies and AI advancements?" (Demonstrate a proactive growth mindset).

• "Describe your experience mentoring other engineers. What is your philosophy on technical mentorship?" (Showcase leadership and team development skills). Portfolio Presentation Strategy:

• Tell a Story: For each portfolio piece, structure your explanation around the problem, your unique contribution, the technical solution, and the measurable impact.

• Quantify Everything: Use data and metrics to demonstrate the success of your projects. For AI initiatives, detail the efficiency gains or productivity improvements.

• Focus on "Why": Be prepared to explain the rationale behind your architectural decisions and technology choices.

• Showcase AI Experience: If you have direct AI/LLM workflow experience, highlight it prominently. If not, articulate a clear, well-reasoned vision for how you would approach building such systems at Amplitude.

• Be Ready for Deep Dives: Anticipate detailed questions about your code, system design, and decision-making process.

📝 Enhancement Note: Preparation should heavily focus on articulating your strategic thinking, leadership capabilities, and how you leverage technology (especially AI) to solve complex problems and drive significant impact at scale. Be ready to defend your architectural choices and demonstrate a deep understanding of both frontend fundamentals and emerging AI trends.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided application link on Greenhouse.

• Tailor your resume: Highlight experience at the Staff level, focusing on frontend architecture, infrastructure engineering, performance optimization, developer experience initiatives, and any experience with AI/LLM-powered workflows. Use keywords from the job description.

• Prepare your portfolio: Curate examples that showcase your leadership, system design capabilities, measurable improvements in performance or developer velocity, and any relevant AI/LLM project work. Be ready to present these concisely and effectively.

• Research Amplitude: Understand their product, their position in the market, and their company values. Consider how your experience can contribute to their mission and how you can leverage AI to enhance their engineering practices.

• Practice interview questions: Rehearse answers to common Staff-level technical and behavioral questions, focusing on using the STAR method and clearly articulating your impact and strategic thinking. Prepare to discuss your vision for AI in engineering.

⚠️ 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.