Staff Software Engineer- UI Foundations Team

📍 Job Overview

Job Title: Staff Software Engineer - UI Foundations Team

Company: Amplitude

Location: San Francisco Bay Area, Hybrid

Job Type: FULL_TIME

Category: Frontend Engineering / Platform Engineering

Date Posted: August 13, 2026

Experience Level: 10+ Years

Remote Status: Hybrid

🚀 Role Summary

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

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

• Own the frontend infrastructure, including module boundaries, micro-frontend patterns, shared component systems, and state management strategies.

• Champion application performance initiatives, identifying and resolving systemic issues related to bundle size, load times, and runtime performance.

📝 Enhancement Note: This role is positioned as a high-leverage, low-oversight Staff Engineer role, indicating a significant expectation for technical leadership, strategic thinking, and independent execution within the UI Foundations team. The emphasis on "AI-agent-driven engineering workflows" and "software factory" suggests a forward-thinking approach to developer productivity and 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 strategy.

• Diagnose and resolve systemic performance issues across frontend applications, such as bundle size, load times, runtime performance, and rendering bottlenecks.

• Establish and enforce performance budgets and guardrails to ensure consistent performance across all product teams.

• Build and maintain robust build systems, local development environments, CI/CD pipelines, linting/codegen tools, and internal tooling that directly support product engineers.

• Continuously identify bottlenecks in the engineering workflow and develop AI-agent-driven automation to eliminate them, focusing on iterative improvement and efficiency gains.

• Set technical direction and establish standards for the broader frontend organization, mentoring senior and staff-track engineers.

• Review and provide architectural guidance on proposals from other teams that impact shared frontend infrastructure.

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

📝 Enhancement Note: The responsibilities highlight a dual focus on foundational frontend architecture and cutting-edge AI-driven automation. The expectation to "set technical direction" and "mentor senior/staff-track engineers" underscores the senior nature of this Staff Engineer position. The emphasis on building internal developer tooling and "software factory" components points to a significant impact on engineering productivity.

অর্থের Skills & Qualifications

Education: While no specific degree is listed, a Bachelor's or Master's degree in Computer Science, Engineering, or a related field is typically expected for a Staff Engineer role, complemented by extensive practical experience.

Experience: A proven track record operating at a Staff Engineer level or demonstrating equivalent scope and impact in previous roles is essential. This includes substantial experience in frontend development and infrastructure systems.

Required Skills:

• 10+ years of progressive software engineering experience, with a significant portion focused on frontend development and infrastructure.

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

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

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

• Proven ability to design, build, and ship internal developer tooling or platform infrastructure that demonstrably 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, articulated vision for their implementation.

• Excellent technical judgment and the ability to drive consensus on ambiguous, cross-cutting architectural decisions through influence rather than authority.

• Exceptional communication skills (written and spoken) for influencing through documents, proposals, design reviews, and cross-team discussions. Preferred Skills:

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

• 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 strongly emphasize a hybrid skillset: deep frontend expertise combined with infrastructure and systems engineering proficiency. The explicit mention of AI-agent-driven workflows indicates a need for candidates who are not just familiar with AI but can actively contribute to its integration into engineering processes. The "Nice to Have" section points to specific areas of advanced platform engineering that would be advantageous.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase of significant contributions to frontend architecture, demonstrating strategic decision-making and long-term vision.

• Examples of projects focused on performance optimization, including metrics and measurable improvements in load times, bundle sizes, or runtime efficiency.

• Case studies of internal developer tooling or platform infrastructure built, highlighting the problem solved, the solution implemented, and the impact on developer velocity.

• Demonstrations or detailed explanations of experience with AI-agent-driven or LLM-powered engineering workflows, including how they were designed, implemented, and their observed benefits. Process Documentation:

• Documented examples of architectural decision-making processes, including proposals, reviews, and consensus-building strategies.

• Evidence of establishing and maintaining performance budgets and guardrails for frontend applications.

• Workflow diagrams or descriptions of CI/CD pipelines, build systems, or local development environments that have been designed or optimized.

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

📝 Enhancement Note: For a Staff Engineer role, the portfolio should reflect strategic impact and technical leadership. Emphasis should be placed on demonstrating how you've influenced technical direction, solved complex systemic problems, and driven efficiency improvements, particularly through advanced tooling and automation like AI agents.

💵 Compensation & Benefits

Salary Range: Based on the provided ranges for California, New York City, and Washington state, and assuming the San Francisco Bay Area location falls within these high-cost-of-living areas, the estimated salary range for this role is: $192,000 - $264,000 base salary (inclusive of bonus or commission).

Benefits:

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

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

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

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

• Employee Stock Purchase Program (ESPP).

• Company-sponsored 401(k) retirement plan.

Working Hours: The standard working hours are approximately 40 hours per week, with the expectation of flexibility to meet project demands and collaborate across time zones.

📝 Enhancement Note: The salary ranges provided for California, New York City, and Washington are specific and inclusive of potential bonuses or commissions. Given the "Staff" title and the role's focus on foundational infrastructure and advanced AI integration, the higher end of these ranges is likely attainable for highly qualified candidates. The benefits package is extensive, reflecting a strong commitment to employee well-being and professional development.

🎯 Team & Company Context

🏢 Company Culture

Industry: Digital Analytics / AI-First Platform. Amplitude operates in the rapidly evolving field of product analytics, leveraging AI to empower businesses in understanding and optimizing digital experiences. This industry demands continuous innovation, data-driven decision-making, and a deep understanding of user behavior.

Company Size: Amplitude is a public company (traded as $AMPL) with a global presence, indicating a mature organization with established processes, yet still retaining a fast-paced, innovative culture. The company size supports significant investment in foundational engineering teams like UI Foundations.

Founded: Founded in 2012, Amplitude has a decade of experience building and scaling its platform, demonstrating a history of product innovation and market leadership, evidenced by its #1 ranking on G2 for product analytics for 19 consecutive quarters.

Team Structure:

• The UI Foundations team is a specialized, foundational engineering group responsible for the core frontend infrastructure used by all product engineers at Amplitude.

• This role implies working within a team that likely includes other senior engineers, possibly a manager, and close collaboration with product teams, design systems, and broader platform/infra teams.

• The structure emphasizes autonomy and technical leadership for senior individuals like the Staff Engineer. Methodology:

• Data-Driven Operations: Amplitude's core business is data analytics, so expect a strong emphasis on using data to inform decisions, measure impact, and drive improvements across all functions, including engineering.

• Agile Development & Iteration: Given the fast-paced tech industry and focus on innovation, agile methodologies are likely employed, with a focus on iterative development and continuous feedback loops.

• Customer-Centricity: A core value is putting customers at the center, meaning foundational engineering investments must directly address and solve pain points experienced by product teams and ultimately, Amplitude's customers.

Company Website: https://amplitude.com/

📝 Enhancement Note: Amplitude's positioning as an "AI-first digital analytics platform" is crucial. This means the UI Foundations team is not just maintaining existing systems but is at the forefront of integrating AI into the development lifecycle. The company's values (humility, ownership, growth mindset) are key indicators of how collaboration and problem-solving occur.

📈 Career & Growth Analysis

Operations Career Level: This role is at the Staff Engineer level, signifying a highly experienced individual contributor who operates with significant autonomy and influence. Staff Engineers are expected to tackle ambiguous, cross-cutting technical challenges, set technical direction, mentor other senior engineers, and drive architectural strategy. Their impact is measured not just by code output but by their ability to elevate the entire engineering organization.

Reporting Structure: The Staff Software Engineer will likely report to a Director or VP of Engineering, or a distinguished Engineering Manager overseeing platform initiatives. They will work closely with peers on the UI Foundations team and collaborate extensively with engineering leads, product managers, and designers across various product teams.

Operations Impact: The impact of this role is profound, directly influencing the efficiency, quality, and speed of frontend development for Amplitude's entire product suite. By owning the UI foundations and driving AI-driven automation, this engineer will significantly boost engineering velocity, reduce technical debt, and improve the overall developer experience, which in turn enables faster product innovation and better customer experiences.

Growth Opportunities:

• Technical Specialization: Deepen expertise in frontend architecture, performance optimization, build systems, and the cutting edge of AI-driven engineering workflows.

• Leadership & Mentorship: Develop strong technical leadership skills by mentoring other senior engineers and influencing architectural decisions across the organization.

• Strategic Influence: Gain experience in shaping the technical roadmap and strategy for a critical foundational team within a leading SaaS company.

• Cross-Functional Exposure: Broaden understanding of product development lifecycles by working closely with diverse engineering and product teams.

• Industry Recognition: Contribute to building innovative "software factory" concepts and AI integrations that could become industry benchmarks.

📝 Enhancement Note: The Staff Engineer level is a critical inflection point in an IC career path, focusing on broad impact and technical leadership rather than deep specialization. The role's emphasis on AI and automation presents a unique opportunity to be at the forefront of engineering evolution.

🌐 Work Environment

Office Type: The position is designated as Hybrid, with the primary location being the San Francisco Bay Area. This suggests a blend of remote work and in-office collaboration.

Office Location(s): While specific office addresses are not detailed, Amplitude has offices in San Francisco (HQ), New York, Vancouver, Amsterdam, London, Paris, Singapore, and Tokyo. The San Francisco Bay Area location implies proximity to a major tech hub.

Workspace Context:

• Collaborative Environment: The hybrid model necessitates strong asynchronous communication skills and deliberate in-person collaboration for key design discussions, brainstorming, and team building.

• Tooling & Technology: Access to a modern tech stack, robust cloud infrastructure, and advanced developer tools is implied, given Amplitude's position as an AI-first analytics platform. The role specifically involves building and improving these tools.

• Team Interaction: Opportunities for direct interaction with fellow UI Foundations engineers, product teams, and design systems representatives will be frequent, both remotely and in person.

Work Schedule: The standard work schedule is approximately 40 hours per week, with a hybrid arrangement allowing for flexibility. This structure supports focused individual work (remote) and collaborative problem-solving sessions (in-office).

📝 Enhancement Note: The hybrid nature of the role requires a candidate who is self-motivated and effective in both independent and collaborative settings. The "San Francisco Bay Area Hybrid" designation suggests that occasional office presence will be expected, likely for team meetings, strategic planning, and key architectural reviews.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review your application and conduct an initial call to assess your qualifications, experience, and cultural fit.

• Technical Screens: Expect a series of technical interviews focusing on frontend architecture, systems design, performance optimization, and potentially coding challenges. These may include live coding, system design discussions, and architectural deep dives.

• Staff-Level Deep Dive: A dedicated interview or session focusing on your experience at the Staff level, assessing your ability to handle ambiguity, drive technical strategy, mentor others, and influence cross-functional teams. This may involve discussing complex past projects and your role in them.

• AI/Automation Focus: A specific discussion or interview segment will likely delve into your experience and perspective on AI-agent-driven workflows, LLM integration in engineering, and building "software factories."

• Cross-Functional / Behavioral Interviews: Interviews with peers, product managers, or engineering leaders to evaluate collaboration skills, communication effectiveness, and alignment with Amplitude's company values (humility, ownership, growth mindset).

• Hiring Manager / Leadership Interview: A final discussion with the hiring manager or a senior engineering leader to confirm fit and discuss the role's strategic importance.

Portfolio Review Tips:

• Strategic Impact: Emphasize projects where you drove significant architectural changes, solved complex systemic issues, or led initiatives that had a broad impact on engineering velocity or product quality.

• Quantifiable Results: For every project, present clear metrics demonstrating the impact – e.g., reduction in bundle size (%), improvement in load time (ms/%), increase in developer deployment frequency (%), or reduction in manual effort (hours/week).

• AI/Automation Case Studies: Detail your involvement in AI/LLM-powered engineering workflows. Explain the problem, your approach to designing/implementing the agentic system, the tools used, and the measurable outcomes. If you haven't directly built these, articulate your strategic thinking on how they could be built and their potential impact.

• Technical Depth & Breadth: Showcase your ability to navigate both deep frontend code and broader infrastructure concerns (build systems, CI/CD, performance tuning).

• Leadership & Influence: Highlight instances where you influenced technical direction, mentored other engineers, or successfully navigated complex stakeholder landscapes to drive consensus on architectural decisions.

Challenge Preparation:

• System Design: Be prepared for system design questions related to scaling frontend platforms, managing micro-frontends, or designing internal developer tooling infrastructure.

• Performance Optimization Scenarios: Practice diagnosing and proposing solutions for common frontend performance bottlenecks.

• AI Workflow Design: Think about how AI agents can automate specific engineering tasks (code generation, testing, deployment, migration, documentation) and prepare to articulate your approach to building such systems.

• Behavioral & Situational: Prepare examples demonstrating your alignment with Amplitude's values, your approach to handling ambiguity, and your experience in influencing without direct authority.

📝 Enhancement Note: The interview process for a Staff Engineer is rigorous and designed to assess not just technical skills but also strategic thinking, leadership potential, and cultural fit. A strong portfolio that clearly demonstrates impact, especially in the areas of AI integration and platform engineering, will be critical for success.

🛠 Tools & Technology Stack

Primary Tools:

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

• Build Systems: Experience with tools like Webpack, Rollup, Vite, or monorepo build tools (e.g., Nx, Bazel, Lerna) is highly relevant.

• CI/CD Platforms: Proficiency with systems like Jenkins, GitLab CI, GitHub Actions, CircleCI, or similar for automating builds, testing, and deployments.

• Version Control: Mastery of Git and associated workflows (e.g., Gitflow, trunk-based development).

Analytics & Reporting:

• Performance Monitoring Tools: Experience with tools for monitoring frontend performance, bundle size analysis, and runtime metrics (e.g., Lighthouse, WebPageTest, Sentry, Datadog RUM).

• Internal Metrics & Dashboards: While not directly building Amplitude's product analytics, understanding how to instrument and report on internal developer tooling and platform performance using tools like Grafana, Kibana, or custom solutions.

CRM & Automation:

• AI/LLM Platforms: Hands-on experience with AI-agent frameworks, LLM APIs (e.g., OpenAI, Anthropic), agent orchestration tools, or "agent harness" infrastructure.

• Developer Tooling: Familiarity with linters, formatters, code generators, and internal development environment management tools.

• Cloud Infrastructure: Understanding of cloud platforms (AWS, GCP, Azure) and their services relevant to build, deployment, and hosting.

📝 Enhancement Note: The emphasis on "AI-agent-driven workflows" and "software factory" suggests that experience with specific AI/LLM platforms, agent orchestration frameworks, and tools for building autonomous engineering processes will be highly valued, potentially even more so than deep expertise in a specific CRM.

👥 Team Culture & Values

Operations Values:

• Humility: Approach challenges and collaborations with an open mind, valuing diverse perspectives and acknowledging areas for learning. This translates to being receptive to feedback on architectural proposals and acknowledging the complexity of cross-functional dependencies.

• Ownership: Take full responsibility for the frontend platform's health, performance, and evolution. This includes proactively identifying and addressing issues, driving solutions to completion, and owning the impact of technical decisions.

• Growth Mindset: Embrace challenges as opportunities for learning and development. Be willing to explore new technologies, experiment with AI-driven solutions, and continuously improve processes. This is critical for roles involving cutting-edge AI integration.

• Customer-Centricity: Ensure that foundational engineering investments and improvements directly benefit product teams and, by extension, Amplitude's end-users. Prioritize work that alleviates developer pain points and enables better product outcomes.

Collaboration Style:

• Proactive Communication: Given the hybrid nature and cross-functional scope, expect a culture that values clear, concise, and proactive communication, often asynchronously through documentation and internal tools.

• Influence through Data & Rationale: Decisions are likely driven by data, rigorous technical reasoning, and well-articulated proposals rather than hierarchical authority.

• Mentorship & Knowledge Sharing: A culture that encourages senior engineers to mentor junior and mid-level engineers, and a general willingness to share knowledge and best practices across teams.

• Iterative Improvement: A collaborative approach to problem-solving, where solutions are often developed iteratively, with continuous feedback loops and adjustments based on results and team input.

📝 Enhancement Note: Understanding and embodying Amplitude's core values will be crucial for success. The emphasis on humility and ownership suggests a collaborative environment where engineers are encouraged to learn from each other and take initiative. The growth mindset is particularly relevant given the role's focus on AI and automation.

⚡ Challenges & Growth Opportunities

Challenges:

• Balancing Foundational Stability with Innovation: Ensuring the core frontend platform remains stable and performant while simultaneously driving cutting-edge AI integrations and new tooling development.

• Driving Consensus on Ambiguous Technical Direction: Influencing diverse engineering teams and stakeholders to adopt new architectural patterns or AI-driven workflows requires strong technical leadership and persuasive communication.

• Scaling AI-Driven Automation: Designing and implementing AI-agent workflows that are robust, reliable, and scalable across a large organization presents significant technical and operational challenges.

• Measuring Impact of Foundational Investments: Quantifying the direct ROI of platform improvements and AI automation can be complex, requiring sophisticated metrics and reporting.

Learning & Development Opportunities:

• Cutting-Edge AI in Engineering: Gain deep, hands-on experience with AI agents, LLMs, and their application in automating software development workflows, a rapidly evolving field.

• Platform Architecture at Scale: Enhance expertise in designing, building, and maintaining large-scale frontend platforms and developer tooling for a global SaaS company.

• Technical Leadership & Mentorship: Develop advanced skills in technical strategy, architectural governance, and mentoring senior engineers.

• Industry Best Practices: Contribute to and learn about emerging best practices in developer experience, performance engineering, and AI-assisted software development.

📝 Enhancement Note: This role offers the opportunity to tackle complex, forward-looking challenges at the intersection of frontend engineering and AI. The challenges are directly tied to significant growth opportunities, particularly in emerging areas of software development.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to drive a significant architectural change in a complex frontend system. What was your approach, what were the challenges, and what was the outcome?" (Focus on influence, technical rationale, and measurable impact).

• "How would you approach building a 'software factory' using AI agents to automate engineering workflows? What are the key components, potential pitfalls, and how would you measure success?" (Assess strategic thinking, understanding of AI capabilities, and process design).

• "Imagine a scenario where a product team is experiencing severe frontend performance issues. How would you diagnose the problem, what tools would you use, and how would you collaborate with them to implement a solution?" (Evaluate problem-solving, diagnostic skills, and cross-functional collaboration). Company & Culture Questions:

• "How do Amplitude's values of humility, ownership, and growth mindset influence your approach to engineering challenges?" (Prepare specific examples demonstrating each value).

• "Describe a situation where you had to influence other engineering teams or stakeholders on a technical decision where you didn't have direct authority." (Assess leadership, communication, and consensus-building skills).

• "How do you stay current with advancements in frontend technologies and AI, and how do you evaluate their potential application within an engineering organization?" (Demonstrate continuous learning and strategic adoption of new tech). Portfolio Presentation Strategy:

• Narrative Arc: Structure your portfolio presentation around clear problem-solution-impact narratives for each key project.

• Focus on Staff-Level Contributions: Emphasize your strategic contributions, technical leadership, and influence, rather than just the code you wrote.

• Quantify Everything: For performance improvements, developer tooling impact, or AI automation benefits, provide specific metrics (percentages, time savings, error reduction).

• AI/Automation Deep Dive: Be prepared to walk through your experience with AI agents in detail, explaining the technical architecture, implementation challenges, and the value proposition. If direct experience is limited, articulate a strong vision and strategic approach.

• Engage and Discuss: Treat the presentation as a collaborative discussion. Be ready to answer in-depth questions about your decisions and thought processes.

📝 Enhancement Note: Prepare to discuss your experience at a strategic level, focusing on impact and leadership. The emphasis on AI and automation means you should be ready to articulate your vision and practical experience in this domain, even if it's through strategic thinking rather than direct implementation.

📌 Application Steps

To apply for this Staff Software Engineer position:

• Submit your application through the provided link on Ashby.

• Tailor Your Resume: Highlight your 10+ years of experience, specific achievements in frontend architecture, performance optimization, developer tooling, and any experience with AI/LLM-driven workflows. Use keywords from the job description.

• Curate Your Portfolio: Prepare a concise portfolio or presentation that showcases 2-3 key projects demonstrating your Staff-level impact, focusing on strategic contributions, measurable results, and your experience with AI-driven engineering.

• Prepare for Technical Deep Dives: Review system design principles, frontend architecture patterns, performance tuning techniques, and be ready to discuss your approach to building AI automation solutions.

• Research Amplitude: Understand their product, AI-first strategy, company values, and recent news to articulate your interest and fit during interviews.

⚠️ 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.