Engineering Manager, UI Platform

📍 Job Overview

Job Title: Engineering Manager, UI Platform

Company: Anthropic

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

Job Type: Full-Time

Category: Engineering Management / Platform Engineering

Date Posted: May 22, 2026

Experience Level: 10+ Years

Remote Status: Hybrid

🚀 Role Summary

• Lead and grow a high-performing Engineering team focused on building and scaling the foundational UI Platform for Anthropic's flagship consumer product, Claude.ai.

• Drive significant improvements in developer velocity, system reliability, and performance across all Claude.ai user interfaces (web, mobile, desktop, extensions).

• Own the architecture, development, and operational excellence of shared components, build/deploy pipelines, observability, and performance infrastructure.

• Foster a culture of technical excellence, continuous improvement, and cross-functional collaboration to accelerate product innovation and ensure customer satisfaction.

• This role requires a blend of deep technical expertise in modern web stacks and strong people leadership skills to guide a team in a fast-paced, evolving AI product environment.

📝 Enhancement Note: This role is explicitly for an Engineering Manager focusing on a "UI Platform," which in the context of a rapidly growing AI product like Claude.ai, implies a critical need for robust, scalable, and efficient front-end infrastructure. The emphasis on "developer velocity," "reliability," and "performance" points towards a Revenue Operations or GTM enablement function, albeit from an engineering platform perspective, as it directly impacts how quickly product teams can deliver features that drive user engagement and revenue. The hybrid nature and specific locations suggest a need for strong remote management and collaboration skills.

📈 Primary Responsibilities

• Lead and mentor a team of software engineers, fostering their growth and technical development within a high-performance culture.

• Define and execute the technical strategy for the UI Platform, ensuring alignment with Anthropic's product roadmap and business objectives.

• Oversee the design, implementation, and maintenance of shared front-end components, frameworks, and libraries used across Claude.ai.

• Optimize build, test, and deployment pipelines (CI/CD) to enhance developer productivity and reduce release cycles.

• Implement and champion robust observability strategies, including metrics, logging, and tracing, to ensure platform health and rapid issue resolution.

• Drive initiatives to improve application performance, reduce latency, and enhance overall user experience across all Claude.ai surfaces.

• Collaborate closely with product engineering teams, design, infrastructure, and leadership to understand needs and deliver platform solutions.

• Establish and enforce high standards for code quality, testing, security, and operational excellence.

• Manage and mitigate technical risks, particularly in a fast-moving, ambiguous environment characteristic of early-stage AI product development.

• Contribute to architectural decisions for the UI Platform, ensuring scalability, maintainability, and extensibility.

📝 Enhancement Note: The responsibilities highlight a critical role in enabling the GTM strategy for Claude.ai by ensuring the product surfaces are reliable, performant, and can be iterated upon rapidly. This is a key operational lever.

🎓 Skills & Qualifications

Education:

Experience:

• 10+ years of professional software engineering experience, with a strong focus on building and scaling consumer-facing products.

Required Skills:

• Proven track record of leading teams responsible for platform engineering, developer tools, or infrastructure for consumer-facing applications.

• Deep expertise in modern web development stacks, including proficiency with React, Next.js, and TypeScript.

• Strong understanding of system architecture principles, with the ability to design scalable, maintainable, and performant applications.

• Passion for developer experience (DevEx), with demonstrated success in building tools and systems that improve engineer productivity.

• Expertise in operationalizing reliability, observability (metrics, logging, tracing), and performance optimization at scale.

• Ability to thrive in ambiguous and fast-paced environments, creating structure and clarity for the team.

Preferred Skills:

• Experience building and scaling platforms that support multiple surfaces (web, mobile, desktop, browser extensions) with shared infrastructure.

• Hands-on experience with CI/CD systems, build automation, and deployment strategies at scale.

• Familiarity with AI/ML products or experience in rapidly evolving technology sectors.

• Experience with performance tuning and latency reduction techniques in complex web applications.

📝 Enhancement Note: The emphasis on "developer velocity," "platform engineering," and "consumer-facing products" strongly suggests that candidates with experience in sales operations or GTM enablement technology platforms would be highly valued, even if their direct experience is in engineering. The ability to understand and improve the tools and processes that enable rapid feature deployment is directly transferable to the operational efficiency required for GTM success.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrable examples of leading the development and successful launch of significant platform initiatives.

• Case studies showcasing improvements in developer velocity, system reliability, or performance metrics driven by your team's work.

• Evidence of architectural decision-making for scalable and maintainable systems, particularly in front-end or platform contexts.

• Documentation or descriptions of processes established for build/deploy, observability, or performance monitoring.

Process Documentation:

• Candidates are encouraged to highlight their experience in defining and refining development workflows, such as Agile methodologies, CI/CD best practices, and incident management processes.

• Showcase how you have implemented or improved systems for code reviews, automated testing, and quality assurance.

• Provide examples of how you've established metrics and reporting mechanisms to track the health and performance of the platform and the development team.

📝 Enhancement Note: For an Engineering Manager role focused on a platform, a portfolio should emphasize leadership in process definition and optimization, not just individual technical contributions. This includes demonstrating how you've improved the systems and processes that enable other engineers to be effective, which directly aligns with operational efficiency goals.

💵 Compensation & Benefits

Salary Range:

Benefits:

• Competitive Compensation package.

• Optional Equity Donation Matching.

• Generous Vacation time.

• Comprehensive Parental Leave.

• Flexible Working Hours.

• Access to a collaborative office space.

Working Hours:

• Standard full-time hours (approximately 40 hours per week), with flexibility. The hybrid policy requires being in the office at least 25% of the time, though some roles may necessitate more office presence.

📝 Enhancement Note: The salary range is substantial and reflects a senior leadership role in a high-demand tech market and industry. The benefits package is competitive and designed to support work-life balance and employee well-being, which are crucial for retaining top talent in operations and engineering roles. The hybrid policy indicates a need for individuals comfortable with a mix of remote and in-office collaboration.

🎯 Team & Company Context

🏢 Company Culture

Industry: Artificial Intelligence (AI) Research and Development, focused on creating reliable, interpretable, and steerable AI systems.

Company Size: growing group of committed researchers, engineers, policy experts, and business leaders. (Specific size not provided, but implied to be rapidly expanding).

Founded: Not specified, but research directions point to a strong academic and research-driven foundation.

Team Structure:

• The UI Platform team is a dedicated engineering group responsible for the foundational infrastructure powering Claude.ai.

• This team will likely operate within a larger engineering organization, possibly reporting up through a VP of Engineering or Head of Product Engineering.

Methodology:

• Anthropic emphasizes a "big science" approach to AI research, focusing on large-scale, impactful efforts.

• The company views AI research as an empirical science, valuing collaboration, communication, and data-driven decision-making.

• Continuous improvement and a focus on ethical and trustworthy AI are core tenets.

Company Website: anthropic.com

📝 Enhancement Note: The company's focus on "reliable, interpretable, and steerable AI" and its "big science" approach suggest a culture that values rigor, deep technical expertise, and a long-term vision. For an Engineering Manager, this means a focus on building robust, well-documented, and scalable systems that can support complex AI products. The emphasis on collaboration and communication is critical for aligning platform development with product goals.

📈 Career & Growth Analysis

Operations Career Level: This role represents a senior engineering leadership position, equivalent to a Staff or Principal Engineer in individual contributor track, but with direct management responsibilities. It sits at the intersection of technical platform strategy and team leadership.

Reporting Structure: The Engineering Manager, UI Platform will likely report to a Director or VP of Engineering, or potentially a Head of Product Engineering. They will manage a team of individual contributor engineers.

Operations Impact: The UI Platform directly impacts the speed and reliability with which Anthropic can deliver new features and improvements to Claude.ai. This role is crucial for enabling the GTM strategy by ensuring a stable, performant, and rapidly evolving user experience, which is key for customer acquisition, retention, and overall product adoption.

Growth Opportunities:

• Opportunity to shape the technical direction and build the foundational platform for a leading AI product.

• Potential to grow into larger leadership roles (e.g., Director of Engineering) overseeing broader platform areas or multiple teams.

• Deepen expertise in AI product development, scalable web architectures, and developer productivity tools.

• Develop strong cross-functional leadership skills by partnering with product, design, and research teams.

• Contribute to building a world-class engineering culture at a rapidly growing AI company.

📝 Enhancement Note: For operations professionals, understanding how this engineering leadership role directly impacts GTM success is key. The ability to accelerate product delivery and ensure a high-quality user experience translates directly to revenue generation and market competitiveness.

🌐 Work Environment

Office Type: Hybrid work policy, requiring a minimum of 25% in-office presence, with potential for more depending on the role's specific needs. Offices are located in San Francisco, CA, New York City, NY, and Seattle, WA.

Office Location(s):

• San Francisco, CA

• New York City, NY

Workspace Context:

• The role involves working within collaborative office spaces designed to foster interaction and knowledge sharing.

• Access to modern development tools, infrastructure, and technologies is expected.

• The environment is described as "fast-moving" and potentially "ambiguous," requiring adaptability and a proactive approach to problem-solving.

Work Schedule:

• Standard full-time hours (approximately 40 hours per week).

• Flexible working hours are offered, allowing for some autonomy in scheduling, provided team collaboration and product delivery needs are met.

📝 Enhancement Note: The hybrid model and flexible hours are common in operations roles, balancing the need for in-person collaboration and strategic alignment with the desire for work-life integration. The emphasis on a "fast-moving" environment suggests a need for operational agility and quick decision-making.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Recruiter screens for basic qualifications, experience, and cultural fit.

• Hiring Manager Interview: Focus on leadership experience, team management philosophy, technical background, and strategic thinking related to platform development.

• Technical Deep Dive/Architecture Review: Discussion of complex technical challenges, system design, reliability, performance, and developer experience initiatives. This may involve whiteboarding or system design exercises.

• Team/Peer Interviews: Interviews with potential direct reports and cross-functional partners (e.g., Product Managers, other Engineering Managers) to assess collaboration style, technical acumen, and leadership potential.

• Executive/VP Interview: Final discussion on strategic vision, leadership approach, and alignment with Anthropic's mission and culture.

Portfolio Review Tips:

• Highlight Leadership Impact: Focus on your role in leading teams to achieve significant platform improvements, rather than just individual technical contributions. Use the STAR method (Situation, Task, Action, Result) to structure your examples.

• Quantify Results: Wherever possible, use metrics to demonstrate the impact of your work. This could include improvements in deployment frequency, reduction in latency, decrease in incident resolution time, or increased developer productivity.

• Showcase Process Optimization: Present examples of how you've improved development workflows, CI/CD pipelines, observability, or other operational processes.

• Address Ambiguity: Be prepared to discuss how you've navigated unclear requirements or rapidly shifting priorities, demonstrating your ability to create structure and drive outcomes in complex environments.

• Tailor to Anthropic: Research Anthropic's mission, products (Claude.ai), and stated values to tailor your examples and articulate how your leadership style and platform focus align with their goals.

Challenge Preparation:

• System Design: Be ready for system design questions related to building scalable, reliable, and performant web platforms, considering multiple surfaces and shared infrastructure.

• Leadership Scenarios: Prepare for behavioral questions about managing teams, resolving conflicts, driving technical direction, and mentoring engineers.

• Developer Experience Focus: Anticipate questions about how you foster developer productivity, improve tooling, and reduce friction in the development lifecycle.

• Reliability & Performance: Prepare to discuss your approach to ensuring high availability, low latency, and overall system robustness.

📝 Enhancement Note: Given the emphasis on platform and developer experience, candidates should be prepared to discuss how they've built systems that enable other teams (like product engineering teams contributing to GTM) to operate more efficiently. This demonstrates an understanding of operational leverage.

🛠 Tools & Technology Stack

Primary Tools:

• Frontend Frameworks: React, Next.js (explicitly mentioned)

• Languages: TypeScript (explicitly mentioned)

• Build & Deployment: CI/CD systems, build automation tools (e.g., Webpack, Vite, Jenkins, GitHub Actions, GitLab CI)

• Observability: Metrics, logging, and tracing systems (e.g., Prometheus, Grafana, ELK Stack, Datadog, OpenTelemetry)

• Version Control: Git (standard for software development)

Analytics & Reporting:

• Tools for monitoring platform performance, user experience metrics, and developer productivity.

CRM & Automation:

• While not directly customer-facing CRM, the role involves managing internal "customers" (product teams) and automating their development workflows.

• Understanding of workflow automation principles and tools is beneficial.

• Integration tools might be relevant for connecting various development and operational systems.

📝 Enhancement Note: While this is an engineering role, the tools listed are critical for understanding how operational efficiency is achieved in a modern software development context. Proficiency in these areas, or the ability to manage teams that are, is key for driving GTM velocity.

👥 Team Culture & Values

Operations Values:

• Reliability & Steerability: A commitment to building dependable systems and ensuring AI is aligned with human intent, mirroring the company's core AI mission.

• Impact & Collaboration: Prioritizing high-impact work and fostering a deeply collaborative environment, essential for complex R&D and product development.

• Technical Excellence: Upholding high standards in code quality, system design, and operational practices.

• Continuous Improvement: A drive to constantly learn, adapt, and optimize processes and systems.

• Empirical Science: Approaching challenges with a data-driven, experimental mindset.

Collaboration Style:

• Highly collaborative, with frequent research discussions and cross-functional interaction.

• Emphasis on clear communication and alignment between engineering, product, and leadership.

• A culture that values diverse perspectives and encourages open feedback.

📝 Enhancement Note: For operations professionals, Anthropic's values of reliability, steerability, and impact are directly transferable. Building reliable platforms for GTM functions, ensuring steerable processes, and focusing on measurable impact are core to successful operations.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapidly Evolving Product: Claude.ai is a fast-moving product in a nascent and rapidly evolving AI landscape, requiring adaptability and strategic foresight.

• Scaling Infrastructure: Ensuring the UI Platform can scale seamlessly to support massive user growth and new feature development.

• Balancing Innovation and Stability: Managing the inherent tension between rapid feature iteration and maintaining platform stability and reliability.

• Ambiguity: Navigating an environment where priorities can shift, requiring strong leadership to provide clarity and direction.

• Developer Velocity Optimization: Continuously identifying and removing bottlenecks in the development lifecycle to maximize engineer productivity.

Learning & Development Opportunities:

• Deep dive into cutting-edge AI product development and its unique platform challenges.

• Opportunities to influence the architecture and technical direction of a flagship AI product.

• Training and development in advanced web technologies, scalable systems, and engineering leadership best practices.

• Potential for mentorship from senior leaders within a pioneering AI company.

• Exposure to diverse career paths within a growing organization, from technical leadership to broader engineering management roles.

📝 Enhancement Note: The challenges highlight the dynamic nature of the role, which is common in high-growth GTM environments. Successfully navigating these challenges will require strong operational planning, risk management, and a focus on efficiency and agility.

💡 Interview Preparation

Strategy Questions:

• Platform Strategy: "How would you approach building a scalable UI Platform for a rapidly growing consumer AI product, considering multiple surfaces and varying user needs?" Focus on modularity, shared components, and developer enablement.

• Leadership Philosophy: "Describe your approach to leading and growing engineering teams, particularly in a fast-paced and sometimes ambiguous environment. How do you foster technical excellence and collaboration?" Be ready to discuss mentorship, performance management, and culture building.

• Developer Experience: "What are the key components of a great developer experience, and how have you implemented them in previous roles? How would you measure its impact?" Highlight tooling, pipelines, documentation, and feedback loops.

• Reliability & Performance: "How do you ensure the reliability and performance of consumer-facing applications at scale? What metrics do you prioritize, and how do you drive improvements?" Discuss your approach to observability, incident management, and performance tuning.

Company & Culture Questions:

• Mission Alignment: "How does your experience and leadership style align with Anthropic's mission to create reliable, interpretable, and steerable AI?" Show genuine interest and understanding of their core values.

• Collaboration: "Describe a time you successfully collaborated with product, design, or other engineering teams to deliver a complex platform feature. What were the challenges and how did you overcome them?" Emphasize communication and cross-functional alignment.

Portfolio Presentation Strategy:

• Structure Your Narrative: Use the STAR method to clearly articulate the situation, your task, the actions you took as a leader, and the measurable results achieved.

• Focus on Impact: Quantify the impact of your leadership. For example, "Reduced deployment time by X%, leading to Y% faster feature releases for product teams."

• Highlight Process Improvements: Showcase how you've optimized development workflows, CI/CD, or observability, demonstrating your operational mindset.

• Technical Depth & Breadth: Be prepared to discuss technical details of the systems you've built and managed, as well as your strategic vision for the platform.

• Tailor to Anthropic: Connect your portfolio examples to Anthropic's specific product (Claude.ai) and their stated values of reliability and impact.

📝 Enhancement Note: The preparation advice emphasizes demonstrating an understanding of operational efficiency and impact, which is crucial for any role that supports GTM functions, even indirectly. Quantifying results and showcasing process improvements will be key differentiators.

📌 Application Steps

To apply for this operations-enabling engineering position:

• Submit your application through the provided link on Greenhouse.

• Portfolio Customization: Select 2-3 key projects or initiatives from your career that best demonstrate your leadership in platform building, developer experience improvement, or driving system reliability/performance. Quantify the impact of these projects using metrics relevant to engineering efficiency and product delivery speed.

• Resume Optimization: Tailor your resume to highlight keywords from the job description, such as "UI Platform," "React," "Next.js," "TypeScript," "Engineering Leadership," "Developer Experience," "CI/CD," "Observability," and "Platform Engineering." Clearly articulate your experience managing teams and driving technical strategy.

• Interview Preparation: Practice articulating your leadership philosophy, technical approach to platform development, and how you foster a productive and collaborative engineering culture. Prepare specific examples using the STAR method, focusing on quantifiable results and process improvements.

• Company Research: Thoroughly research Anthropic's mission, Claude.ai, and their stated values. Understand their "big science" approach and commitment to responsible AI. Consider how your role as an Engineering Manager contributes to their overall GTM success by enabling rapid, reliable product delivery.

⚠️ 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.