Engineering Manager, UI Platform

📍 Job Overview

Job Title: Engineering Manager, UI Platform

Company: Anthropic

Location: San Francisco, CA | New York City, NY

Job Type: Full-time

Category: Engineering Management / UI Platform Engineering

Date Posted: February 24, 2026

Experience Level: 10+ Years

Remote Status: Hybrid

🚀 Role Summary

• Lead and scale high-performing UI engineering teams focused on consumer-facing AI products, encompassing web, mobile, desktop, and browser extensions.

• Define and drive the technical vision and architecture for robust, scalable frontend systems that support millions of daily users.

• Maintain deep technical involvement through architectural decisions, design reviews, and hands-on problem-solving to ensure product quality and innovation.

• Foster strong cross-functional partnerships with Product, Design, Research, and Go-to-Market teams to influence product strategy and user experience.

• Champion engineering excellence by implementing and upholding best practices in performance, accessibility, and cross-platform consistency for AI interfaces.

📝 Enhancement Note: This role is positioned as a senior engineering leadership role within a cutting-edge AI company, focusing on the crucial user interface layer. The emphasis on "consumer-facing Claude experiences" and "shaping how millions of users interact with Claude daily" highlights a significant GTM impact. The need to "see around corners" and "skate to where the puck is going" suggests a strategic, forward-thinking approach to product development and technical roadmap planning, essential for any operations-minded leader aiming to optimize user adoption and product-market fit.

📈 Primary Responsibilities

• Lead, mentor, and grow multiple UI engineering teams, fostering a collaborative and high-performance culture.

• Architect and oversee the development of scalable, maintainable, and performant frontend systems for a diverse range of consumer platforms.

• Drive technical strategy for UI platforms, including framework selection, tooling, and best practices for cross-platform development.

• Collaborate with Product Management and UX Design to translate user needs and business objectives into innovative and intuitive product features.

• Ensure the highest standards of product quality, including rigorous testing, performance optimization, and adherence to accessibility guidelines.

• Partner with Trust & Safety, Research, and Go-to-Market teams to integrate critical functionalities and ensure product readiness for broad deployment.

• Proactively identify and address technical debt, performance bottlenecks, and areas for process improvement within the UI engineering function.

• Influence and advocate for user experience best practices, ensuring Claude's interfaces are responsive, reliable, and delightful to use.

• Manage team resources, project timelines, and priorities in a fast-paced, ambiguous environment, balancing speed of execution with long-term technical health.

• Contribute to the overall engineering strategy and technical roadmap of Anthropic, particularly concerning user-facing product development.

📝 Enhancement Note: The responsibilities emphasize not just team leadership but also deep technical ownership and strategic influence. The requirement to "drive engineering excellence through best practices in performance, accessibility, and cross-platform consistency" and to "build and mentor a world-class team" points to a need for strong operational rigor in team management, process definition, and technical execution. The collaboration with "Research, Trust & Safety, and Go-to-Market" signifies a crucial nexus role, requiring the manager to translate complex technical capabilities into user-friendly and market-ready products, a core function often supported by revenue or GTM operations.

🎓 Skills & Qualifications

Education: Bachelor's degree in a related field (e.g., Computer Science, Engineering) or equivalent practical experience.

Experience:

• 10+ years of professional experience in software engineering, with a significant focus on building consumer-facing web and mobile applications at scale.

• Several years of experience in engineering leadership roles, managing and growing teams responsible for frontend development.

Required Skills:

• Engineering Leadership: Proven ability to lead, mentor, and develop engineering teams, fostering a culture of collaboration, accountability, and continuous improvement.

• Frontend Architecture & Development: Deep expertise in designing and building scalable, performant, and maintainable frontend systems across multiple platforms (web, iOS, Android).

• Technical Acumen: Ability to remain hands-on, guide architectural decisions, conduct design reviews, and debug complex technical issues.

• Cross-Functional Collaboration: Demonstrated success in partnering effectively with Product Management, UX Design, Research, and other key stakeholders.

• User Advocacy: Strong product and design sensibilities with a clear ability to advocate for the user experience.

• Agile Execution: Experience thriving in fast-paced, ambiguous environments, balancing speed of delivery with uncompromising quality.

• Performance & Accessibility: In-depth knowledge of web performance optimization techniques and accessibility standards (WCAG).

Preferred Skills:

• Experience building products across web, iOS, Android, desktop applications, and browser extensions.

• Background in real-time, interactive applications where low latency and high performance are paramount.

• Proficiency with modern frontend frameworks and architectures such as React, React Native, and TypeScript.

• Familiarity with AI/ML-powered products and the unique UX challenges they present.

• Experience establishing and managing frontend platform capabilities that accelerate iteration across multiple product surfaces.

• Track record of scaling engineering teams through significant growth phases.

📝 Enhancement Note: The "10+ years of experience" and "several years in engineering leadership roles" indicate this is a senior management position, likely requiring experience in strategic planning and team scaling. The emphasis on remaining "deeply technical" suggests that candidates with a strong engineering background who have transitioned into leadership will be highly valued, a common profile for operations leaders who need to understand system capabilities. The preference for "establishing frontend platform capabilities" points to a need for someone who can implement standardized processes and tools, akin to building out an operations infrastructure.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Case Studies of Scaled Consumer Products: Demonstrating successful development and launch of consumer-facing applications used by millions, detailing architectural decisions, technical challenges, and outcomes.

• Examples of Cross-Platform Development: Showcasing experience with building consistent user experiences across web, mobile (iOS/Android), and potentially desktop or browser extensions.

• Performance Optimization Initiatives: Evidence of projects where significant improvements in application speed, responsiveness, or resource utilization were achieved, with quantifiable results.

• Accessibility Implementation Projects: Examples of how accessibility standards were integrated into the development lifecycle, ensuring inclusive design and usability for all users.

• Technical Leadership Examples: Documentation of how you've guided teams through complex technical challenges, mentored engineers, and improved team processes.

Process Documentation:

• Workflow Design & Optimization: Examples of how you've designed, documented, and optimized development workflows for UI teams to enhance efficiency and collaboration.

• Best Practices Implementation: Documentation outlining the implementation of engineering best practices, such as CI/CD pipelines, code review processes, and testing strategies.

• Performance Monitoring & Improvement Plans: Processes for monitoring application performance in production and plans for iterative improvements.

• Cross-Functional Collaboration Frameworks: Examples of frameworks or processes established to ensure seamless collaboration between engineering, product, design, and research teams.

📝 Enhancement Note: For a role focused on UI Platform Engineering leadership, a portfolio is crucial for demonstrating practical application of skills. The emphasis on "scaling," "performance," "accessibility," and "cross-platform consistency" directly relates to operational efficiency and user experience optimization. The requirement for "workflow design & optimization" and "best practices implementation" are core operational functions, highlighting the need for structured approaches to engineering management.

💵 Compensation & Benefits

Salary Range: $405,000 - $485,000 USD annually.

Benefits:

• Optional Equity Donation Matching: Opportunity to match employee equity donations to charitable organizations.

• Generous Vacation Policy: Ample paid time off to support work-life balance and employee well-being.

• Comprehensive Parental Leave: Supportive policies for new parents, enabling time for family bonding.

• Flexible Working Hours: Options for flexible scheduling to accommodate individual needs and optimize productivity.

• Visa Sponsorship: Support for visa sponsorship for eligible candidates.

• Competitive Health, Dental, and Vision Insurance.

• 401(k) Plan with Company Match.

• Professional Development Opportunities.

Working Hours: While specific hours are flexible, the role is expected to be full-time, requiring significant dedication to team leadership, strategic planning, and project execution. A minimum of 25% of time is expected in the office for hybrid work.

📝 Enhancement Note: The salary range is at the senior executive level, reflecting the critical nature of this role in managing a core consumer-facing platform for a rapidly growing AI company. The benefits listed, particularly "Flexible Working Hours" and the "Hybrid" work policy, are indicative of a modern tech company culture that values employee well-being and autonomy, while still requiring essential in-person collaboration for strategic alignment and team cohesion. The visa sponsorship is a significant benefit for international candidates.

🎯 Team & Company Context

🏢 Company Culture

Industry: Artificial Intelligence (AI) Research and Development, focused on creating safe and beneficial AI systems.

Company Size: Anthropic is a rapidly growing AI research company, indicating a dynamic and evolving organizational structure. Its employee count is likely in the hundreds, scaling quickly from its founding.

Founded: Founded in 2021, Anthropic is a relatively young but fast-growing company, built on a foundation of cutting-edge AI research from its inception.

Team Structure:

• UI Engineering Teams: Composed of specialized engineers focused on web, mobile, desktop, and browser extension development.

• Cross-Functional Collaboration: Strong emphasis on working with Product, Design, Research, Trust & Safety, and Go-to-Market teams.

• Reporting: The Engineering Manager will likely report to a Director or VP of Engineering, with direct reports being Senior Engineers and potentially Team Leads within the UI Platform domain.

Methodology:

• AI Research Focus: Driven by a "big science" approach, focusing on large-scale research efforts in steerable, trustworthy AI, inspired by empirical sciences like physics and biology.

• Agile Development: Likely employs agile or iterative development methodologies to maintain speed and adapt to rapid advancements in AI and user needs.

• Data-Driven Decisions: Emphasis on empirical science suggests a strong reliance on data analysis and experimentation to guide research and product development.

Company Website: https://www.anthropic.com/

📝 Enhancement Note: Anthropic's mission to build safe and beneficial AI is central to its culture. As a Public Benefit Corporation, it prioritizes societal impact alongside technological advancement. This implies a culture that values ethical considerations, rigorous research, and open communication. For an Engineering Manager, this means fostering an environment where technical excellence is balanced with responsibility and a deep understanding of the implications of AI.

📈 Career & Growth Analysis

Operations Career Level: This role represents a senior engineering management position, overseeing a critical user-facing platform. It's a key leadership role within the engineering organization, bridging technical execution with strategic product vision. It demands a blend of deep technical expertise and strong people management skills, characteristic of senior operational leaders who drive efficiency and adoption.

Reporting Structure: The Engineering Manager will report to a higher-level engineering executive (e.g., Director or VP of Engineering) and will manage a team of frontend engineers. They will work closely with counterparts in Product Management, Design, and Research.

Operations Impact: The impact of this role on revenue and business decisions is substantial. By shaping the user experience of Claude, this manager directly influences user acquisition, engagement, retention, and overall product adoption. A well-executed UI platform is fundamental to monetizing AI services and achieving market leadership. Optimizing the user journey and ensuring a seamless interaction with AI capabilities is a direct driver of business success.

Growth Opportunities:

• Leadership Advancement: Potential to grow into Director or VP-level roles, overseeing broader engineering functions or specialized platform areas.

• Strategic Technical Leadership: Opportunity to influence Anthropic's entire technical direction for consumer products and contribute to the company's long-term AI strategy.

• Specialization in AI UX: Deepen expertise in the unique challenges and opportunities of designing user interfaces for advanced AI systems.

• Mentorship & Team Building: Develop a legacy by building and scaling world-class engineering teams, shaping future leaders in the AI industry.

• Exposure to Cutting-Edge AI Research: Direct involvement in translating groundbreaking AI research into tangible, user-friendly products.

📝 Enhancement Note: This role offers significant career growth potential, moving beyond technical management into strategic leadership. The emphasis on influencing product direction and user experience aligns with the strategic impact expected from senior operations leaders who connect technical capabilities to business outcomes. The opportunity to specialize in AI UX is unique and highly valuable in the current market.

🌐 Work Environment

Office Type: Anthropic operates with a hybrid work policy, requiring employees to be in the office at least 25% of the time. This suggests a collaborative office environment designed to foster team interaction, brainstorming, and in-person problem-solving, complemented by remote flexibility.

Office Location(s): San Francisco, CA and New York City, NY.

Workspace Context:

• Collaborative Spaces: Offices likely feature open work areas, meeting rooms, and common spaces designed to encourage spontaneous collaboration and knowledge sharing among engineering, product, and design teams.

• Technology & Tools: Access to state-of-the-art development tools, hardware, and potentially specialized AI/ML research infrastructure to support cutting-edge development.

• Team Interaction: Frequent opportunities for direct interaction with engineers, product managers, designers, and researchers, facilitating a cohesive development process.

Work Schedule: While specific working hours are flexible, the role demands significant commitment. The hybrid policy requires in-office presence, balancing flexibility with the need for in-person collaboration critical for fast-paced, innovative product development.

📝 Enhancement Note: The hybrid model is common in tech, balancing flexibility with the need for in-person collaboration essential for complex product development and team cohesion. For an engineering manager, this means facilitating effective communication and collaboration both in-person and remotely, ensuring that team processes are optimized for this blended environment.

📄 Application & Portfolio Review Process

Interview Process:

1. Recruiter Screen: Initial conversation to assess alignment with the role, company culture, and basic qualifications.

2. Hiring Manager Interview: In-depth discussion focusing on leadership experience, technical background, team management philosophy, and strategic thinking.

3. Technical Deep Dive/Architecture Review: A session with senior engineers or architects to evaluate technical depth, architectural decision-making, and problem-solving skills related to UI platforms. This may involve discussing past projects and system designs.

4. Cross-Functional Interviews: Meetings with peers from Product, Design, and potentially Research to assess collaboration style, user advocacy, and ability to work effectively across disciplines.

5. Team/Culture Fit Interview: A conversation aimed at understanding how the candidate aligns with Anthropic's values, working style, and approach to AI development.

6. Executive/VP Interview: Final discussion with senior leadership to assess strategic vision, leadership potential, and overall fit for the company's trajectory.

Portfolio Review Tips:

• Curate Strategically: Select 2-3 of your most impactful projects that best represent your leadership in building scaled consumer-facing UI platforms. Prioritize projects demonstrating innovation, technical depth, and significant user impact.

• Structure for Impact: For each project, clearly articulate the problem statement, your role and responsibilities, the technical challenges faced, the solutions implemented (highlighting architectural decisions), and the measurable outcomes (user growth, performance improvements, engagement metrics).

• Showcase Technical Breadth: Include examples that demonstrate experience across multiple platforms (web, mobile, desktop, extensions) and highlight your ability to maintain consistency and optimize for platform-specific nuances.

• Emphasize Leadership & Collaboration: Detail how you led teams, mentored engineers, and collaborated with Product, Design, and Research to achieve project goals.

• Quantify Results: Wherever possible, use data and metrics to demonstrate the impact of your work. This is crucial for operations-minded roles and for showcasing ROI.

Challenge Preparation:

• System Design: Be prepared for system design questions related to building scalable, performant, and accessible frontend architectures for consumer products, potentially with AI integrations.

• Leadership Scenarios: Anticipate behavioral questions about managing difficult team dynamics, resolving conflicts, making tough technical trade-offs, and driving engineering excellence.

• Product & Design Acumen: Be ready to discuss your philosophy on user experience, how you partner with design, and how you advocate for the user's needs.

• Ambiguity Navigation: Prepare examples of how you've successfully navigated uncertainty, rapidly changing priorities, and complex problems with no clear playbook.

📝 Enhancement Note: The interview process is multi-faceted, typical for senior engineering leadership roles. The emphasis on a portfolio review and potential technical challenges highlights the need for candidates to not only speak about their experience but also to demonstrate it concretely, especially regarding process optimization and measurable outcomes.

🛠 Tools & Technology Stack

Primary Tools:

• Frontend Frameworks: Deep expertise in modern JavaScript frameworks and libraries, likely including React, React Native, and potentially others.

• Languages: Proficiency in JavaScript, TypeScript, and potentially native mobile languages (Swift/Objective-C for iOS, Kotlin/Java for Android).

• Build Tools & Bundlers: Familiarity with tools like Webpack, Babel, Vite, etc., for efficient build processes.

• Version Control: Mastery of Git for code management and collaboration.

Analytics & Reporting:

• Web/App Analytics Platforms: Experience with tools like Google Analytics, Amplitude, Mixpanel, or similar for tracking user behavior, engagement, and conversion funnels.

• Performance Monitoring Tools: Familiarity with tools like Datadog, Sentry, New Relic, or browser developer tools for monitoring application performance and errors.

• Dashboarding Tools: Ability to interpret data from dashboards (e.g., Tableau, Looker, internal tools) and translate insights into actionable improvements.

CRM & Automation:

• While less direct for UI Platform, understanding how frontend interacts with backend services, APIs, and potentially CRM/customer data platforms is beneficial for holistic product development.

• CI/CD Tools: Experience with CI/CD pipelines (e.g., GitHub Actions, GitLab CI, Jenkins) for automated testing and deployment of frontend applications.

• Project Management Tools: Proficiency with tools like Jira, Asana, or Trello for managing development workflows and tracking progress.

📝 Enhancement Note: The technology stack emphasizes modern frontend development practices. For an operations-focused candidate, proficiency in analytics, performance monitoring, and CI/CD tools demonstrates an understanding of how to build, deploy, and maintain high-quality, efficient, and user-friendly applications at scale. This aligns with operations' focus on process, efficiency, and measurable outcomes.

👥 Team Culture & Values

Operations Values:

• Safety & Responsibility: A core value at Anthropic, emphasizing the ethical development and deployment of AI systems. This translates to meticulousness, thorough testing, and a deep consideration of potential impacts.

• Impact-Driven: Focus on advancing long-term goals of steerable, trustworthy AI, valuing impactful work over smaller, specific puzzles. This means prioritizing initiatives that drive significant user adoption and product success.

• Collaboration & Communication: High value placed on communication skills and working as a single cohesive team. This encourages open dialogue, knowledge sharing, and collective problem-solving.

• Empirical Science: Treating AI research as an empirical science, suggesting a culture that values data, experimentation, and iterative improvement based on evidence.

• Craftsmanship: A keen attention to detail that makes an experience feel polished and intuitive. This implies a commitment to quality and user delight.

Collaboration Style:

• Cross-Functional Integration: Seamless collaboration is expected across engineering, product, design, research, and go-to-market teams.

• Iterative & Experimental: The culture likely embraces iterative development and experimentation, driven by research insights and user feedback.

• Open Feedback: A high degree of psychological safety and open communication is likely encouraged to foster honest feedback and continuous improvement.

• Impact-Oriented: Collaboration is geared towards achieving significant breakthroughs and delivering highly impactful AI products.

📝 Enhancement Note: Anthropic's values are deeply tied to its mission, emphasizing ethical AI development and scientific rigor. For an operations leader, understanding and embodying these values is critical for ensuring that technical decisions align with the company's broader goals of safety, trustworthiness, and societal benefit.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapidly Evolving AI Landscape: Keeping pace with the fast-changing field of AI and its implications for user interfaces requires continuous learning and adaptability.

• Defining Novel Interaction Paradigms: Building interfaces for AI-powered products where interaction paradigms are still being invented presents a unique and significant challenge.

• Balancing Speed and Quality: The need to ship fast in a competitive market while maintaining high standards for performance, reliability, and user experience.

• Scaling Infrastructure and Teams: Managing the exponential growth of users and the corresponding scaling of engineering teams and platform architecture.

• Cross-Platform Consistency: Ensuring a cohesive and high-quality user experience across diverse platforms (web, mobile, desktop, extensions) with varying constraints.

Learning & Development Opportunities:

• AI UX Specialization: Deep dive into the emerging field of user experience design for artificial intelligence, gaining expertise in novel interaction models.

• Cutting-Edge AI Research: Direct exposure to and involvement with world-class AI research, understanding its potential applications and user-facing implications.

• Leadership Development: Opportunities to hone leadership skills in a high-growth, high-impact environment, potentially through formal training or mentorship.

• Platform Engineering Excellence: Develop advanced skills in building robust, scalable, and maintainable platform solutions that empower multiple product teams.

• Industry Conferences & Networking: Potential to represent Anthropic at key industry events, sharing insights and learning from peers.

📝 Enhancement Note: The challenges are significant but also present unique growth opportunities. The "defining novel interaction paradigms" aspect is a key differentiator, requiring creative problem-solving and a forward-thinking approach, which aligns with the strategic elements of operations roles.

💡 Interview Preparation

Strategy Questions:

• "How would you architect a scalable UI platform to support millions of users engaging with an AI assistant across web, mobile, and desktop?" Focus on modularity, performance, cross-platform consistency, and maintainability.

• "Describe a time you had to balance rapid feature delivery with maintaining code quality and technical debt. What was your approach?" Highlight your ability to implement processes for code reviews, automated testing, and performance monitoring.

• "How do you foster a culture of engineering excellence and continuous improvement within your teams?" Discuss mentorship, feedback mechanisms, best practice adoption, and empowering engineers.

Company & Culture Questions:

• "What excites you about Anthropic's mission, and how do you see this role contributing to it?" Connect your passion for AI safety and beneficial technology with the opportunity to shape user experiences.

• "How do you ensure your teams align with broader company goals, especially when collaborating with Product, Design, and Research?" Discuss your strategies for fostering cross-functional communication and shared understanding.

Portfolio Presentation Strategy:

• Tell a Story: Structure your portfolio presentations around narratives. Clearly define the problem, your team's journey, the solutions, and the impact.

• Quantify Everything: For each project, have key metrics ready (e.g., user growth, performance improvements, conversion rates, reduction in bugs/errors). This demonstrates operational thinking and ROI.

• Focus on "Why": Explain the strategic reasoning behind your architectural and technical decisions, demonstrating a deep understanding of the business and user needs.

• Highlight Leadership: Clearly articulate your specific contributions as a leader in guiding the team, making key decisions, and fostering collaboration.

• Be Ready for Deep Dives: Anticipate detailed questions about your technical choices, trade-offs made, and how you've addressed specific challenges related to scale, performance, and user experience.

📝 Enhancement Note: Interview preparation should focus on demonstrating strategic thinking, operational rigor, and a deep understanding of building user-centric products at scale. The ability to articulate technical decisions in terms of business impact and user value will be critical.

📌 Application Steps

To apply for this Engineering Manager, UI Platform position:

• Submit your application through the provided link on Greenhouse.

• Customize Your Resume: Tailor your resume to highlight your experience in engineering leadership, large-scale consumer-facing applications, cross-platform development, and performance/accessibility best practices. Integrate keywords such as "UI Platform," "frontend architecture," "scalability," and "team leadership."

• Prepare Your Portfolio: Curate 2-3 impactful case studies that showcase your leadership in building and scaling consumer-facing products. Ensure each case study clearly outlines the problem, your role, technical solutions, and quantifiable results. Be ready to discuss these in detail.

• Research Anthropic: Familiarize yourself with Anthropic's mission, values, recent research, and products (especially Claude). Understand their commitment to AI safety and ethical development.

• Practice Interview Responses: Prepare for technical, behavioral, and leadership questions, focusing on articulating your strategies for building high-performing teams, driving technical vision, and collaborating effectively across functions. Practice presenting your portfolio with a focus on impact and operational efficiency.

⚠️ 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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