Staff Engineer, Product UI Platform

📍 Job Overview

Job Title: Staff Engineer, Product UI Platform

Company: Together AI

Location: San Francisco, CA, United States

Job Type: Full-time

Category: Engineering / Product Platform

Date Posted: March 12, 2026

Experience Level: 8+ Years (Senior/Staff Level)

Remote Status: On-site

🚀 Role Summary

• Lead the architectural evolution of Together AI's Product UI Platform, the core foundation for building full-stack features across their web presence.

• Drive the technical direction of critical components including the Next.js/TypeScript/Node.js web runtime, BFF (Backend For Frontend) layer, and application integration patterns.

• Focus on transforming the current monolithic architecture into a scalable, modular, and high-leverage platform to support increasing scale and reliability demands.

• Champion best practices in performance optimization (Web Vitals), code modularity, and developer velocity across product engineering teams.

📝 Enhancement Note: This role is a senior individual contributor position focused on platform engineering within a fast-paced AI company. The emphasis is on architectural leadership, hands-on coding, and driving technical strategy for the user-facing platform.

📈 Primary Responsibilities

• Spearhead the strategic architectural evolution of the product application platform, transitioning from a monolithic structure to a more modular and scalable system.

• Design, develop, and implement foundational platform primitives and reusable components that will be adopted by multiple product engineering teams, enhancing consistency and efficiency.

• Actively reduce architectural entropy and code duplication across the company's web surface through strategic refactoring and platform enhancements.

• Significantly improve application-level performance and reliability metrics, focusing on end-to-end user experience from browser to data layers.

• Drive incremental modularization initiatives of the web surface without negatively impacting feature development velocity, ensuring business continuity.

• Establish clear performance budgets and enforce application-layer guardrails to maintain optimal user experience and resource utilization.

• Collaborate closely with Backend Platform teams to define and refine API ergonomics and integration boundaries, ensuring seamless cross-layer communication.

• Partner with Site Reliability Engineering (SRE) teams to guarantee runtime stability, robust deployment pipelines, and comprehensive production readiness.

• Write and maintain high-quality, critical-path platform code, acting as a key contributor to the core engineering efforts.

• Establish and document durable technical standards and best practices for how full-stack features are built and integrated into the platform.

• Mentor and guide other engineers on the team, fostering a culture of technical excellence and scaling the platform's capabilities over time.

📝 Enhancement Note: The responsibilities highlight a blend of strategic architectural planning, hands-on development, and cross-functional leadership, typical of a Staff Engineer role focused on platform ownership within a growing tech company.

🎓 Skills & Qualifications

Education:

Experience:

• Minimum of 8 years of hands-on experience building and maintaining production-grade web applications and backend systems.

• Proven track record of demonstrating full ownership of a product application platform that has been successfully adopted and utilized by multiple internal engineering teams.

Required Skills:

• Deep expertise in modern frontend frameworks and technologies, specifically React, Next.js, and TypeScript.

• Strong proficiency in server-side application architecture and development, with a focus on Node.js and TypeScript.

• Extensive experience in backend development, particularly with TypeScript, for building robust and scalable services.

• Proven ability to drive and implement significant architectural changes within a collaborative, cross-functional engineering environment.

• Demonstrated experience in establishing technical standards, best practices, and guidelines that effectively scale developer velocity and maintain code quality.

• History of taking ownership of complex technical decisions, driving them to successful implementation, and managing their outcomes effectively.

Preferred Skills:

• Experience with Backend For Frontend (BFF) architectural patterns.

• Familiarity with API design principles and shaping API ergonomics for optimal developer experience.

• Understanding of Site Reliability Engineering (SRE) principles and practices related to runtime stability and production readiness.

• Experience in defining and enforcing performance budgets.

• Knowledge of AI infrastructure or machine learning platforms is a plus, given the company's focus.

📝 Enhancement Note: The requirements emphasize deep technical expertise in the specified stack (React, Next.js, TypeScript, Node.js) and significant experience in platform ownership and architectural evolution, fitting a Staff Engineer profile.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrate ownership of a significant platform component or system, clearly outlining its purpose, architectural design, and impact.

• Showcase examples of architectural evolution projects, detailing the challenges, technical decisions made, and the positive outcomes achieved (e.g., improved scalability, reduced latency, enhanced maintainability).

• Present case studies of platform primitives or reusable components designed and implemented, highlighting their adoption by other teams and the efficiency gains realized.

• Quantify improvements in performance metrics (e.g., Page Load Time, First Contentful Paint, Time to Interactive) and reliability statistics attributed to platform enhancements implemented.

Process Documentation:

• Provide documentation or examples of how you have designed and optimized workflows for feature development on a platform.

• Showcase experience with processes related to modularization, refactoring, and incremental architectural changes.

• Include examples of how you have used performance budgets and application-layer guardrails to manage system behavior and optimize resource usage.

📝 Enhancement Note: For a Staff Engineer role focused on platform, a portfolio demonstrating hands-on architectural leadership, successful platform initiatives, and quantifiable impact is crucial. The focus should be on strategic technical contributions and their downstream effects.

💵 Compensation & Benefits

Salary Range: $200,000 - $275,000 USD per year (Base Salary)

• This range is specified for full-time positions in the US.

Benefits:

• Health insurance

• Startup equity

• Other competitive benefits (details not specified, but typically include PTO, retirement plans, etc.)

Working Hours: Approximately 40 hours per week (standard full-time).

• While a standard work week is expected, the dynamic nature of a startup may require flexibility.

📝 Enhancement Note: The base salary range is competitive for a Staff Engineer role in San Francisco, a high-cost-of-living area. The inclusion of startup equity suggests potential for significant upside. The provided range is comprehensive for the specified experience level and location.

🎯 Team & Company Context

🏢 Company Culture

Industry: Artificial Intelligence (AI) Research and Infrastructure.

Company Size: The provided data does not specify exact company size, but "Startup equity" and the nature of the role suggest a growing, potentially mid-stage startup.

Founded: Together AI is a research-driven company with contributions to open-source research, models, and datasets like FlashAttention and RedPajama, indicating a strong foundation in advanced AI.

Team Structure:

• The Product Engineering team focuses on building the user-facing platform that product teams leverage.

• This role involves close peer-to-peer partnerships with Backend and API Platform leaders, indicating a collaborative, cross-functional structure.

Methodology:

• The company's background in open-source AI research suggests a culture that values transparency, collaboration, and pushing technological boundaries.

• Emphasis on "co-designing software, hardware, algorithms, and models" points to an integrated, systems-thinking approach.

• The role's focus on architectural evolution and platform primitives indicates a commitment to building robust, scalable, and efficient systems.

Company Website: https://www.together.ai/

📝 Enhancement Note: Together AI positions itself as a leader in open and transparent AI, with a strong research background. This suggests a culture of innovation, technical rigor, and a mission-driven approach, appealing to engineers passionate about cutting-edge AI development.

📈 Career & Growth Analysis

Operations Career Level: Staff Engineer (Senior Individual Contributor).

Reporting Structure:

• Likely reports to an Engineering Manager or Director of Engineering, Product Engineering.

• Works peer-to-peer with leaders in Backend Platform and API Platform, highlighting a collaborative leadership model.

Operations Impact:

• This role has a direct and significant impact on the company's ability to build and scale its AI products. By owning the Product UI Platform, the Staff Engineer enables all product teams to develop features more efficiently, reliably, and performantly.

Growth Opportunities:

• Technical Leadership: Deepen expertise in AI infrastructure, platform architecture, and large-scale web systems. Potential to become a Principal Engineer or Architect.

• Mentorship & Influence: Shape the technical direction and engineering culture of a rapidly growing AI company. Mentor junior and senior engineers on platform best practices.

• Domain Specialization: Become a recognized expert in building scalable, modular web runtimes and application platforms within the AI domain.

• Impact: Contribute to the core technology that underpins Together AI's mission to lower the cost of modern AI systems.

📝 Enhancement Note: The Staff Engineer role at Together AI offers a significant opportunity for technical impact and leadership within the rapidly evolving AI sector, focusing on building foundational platform capabilities.

🌐 Work Environment

Office Type: On-site.

• The role is based in San Francisco, indicating an office-based work environment. This allows for close collaboration, spontaneous discussions, and team building.

Office Location(s): San Francisco, CA, United States.

Workspace Context:

• The environment is likely collaborative, with close interaction among product engineers, backend engineers, API platform teams, and SREs.

• Access to modern development tools and infrastructure is expected, supporting the building of cutting-edge AI platforms.

• Opportunities for direct engagement with fellow researchers and engineers, fostering knowledge sharing and innovation.

Work Schedule: Standard full-time hours are expected, with potential for flexibility inherent in startup environments, though the on-site requirement emphasizes in-office presence.

📝 Enhancement Note: The on-site requirement in San Francisco suggests a preference for in-person collaboration, which is often beneficial for complex platform development and architectural discussions.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will likely review your application and conduct an initial phone screen to assess basic qualifications and cultural fit.

• Technical Interviews: Expect multiple rounds of technical interviews, potentially including:

  • Coding Challenges: Live coding sessions focusing on algorithm design, data structures, and proficiency in the required stack (TypeScript, React, Next.js).
  • System Design: A deep dive into designing scalable, modular, and performant web platforms, focusing on architectural patterns, trade-offs, and specific challenges related to the role's responsibilities.
  • Behavioral/Experience Interviews: Discussions about past projects, leadership experiences, conflict resolution, and how you've handled complex technical decisions and architectural evolution.

• Portfolio Review: A dedicated session where you present and discuss your portfolio, highlighting key projects, architectural contributions, and quantifiable impacts.

• Final Round/On-site: Potentially a final round with senior leadership or the broader team, often involving a "lunch interview" or deeper technical discussions.

Portfolio Review Tips:

• Focus on Impact: Clearly articulate the business or technical problem your platform work solved, the scale of the solution, and the quantifiable results (e.g., performance improvements, developer velocity gains, cost reductions).

• Architectural Depth: Be prepared to discuss the architectural decisions made, the trade-offs considered, and why specific technologies or patterns were chosen. For this role, emphasize modularization, scalability, and performance.

• Ownership & Leadership: Highlight instances where you took complete ownership of a technical domain, drove architectural change, and mentored others.

• Clarity & Conciseness: Structure your presentation logically. Use diagrams where appropriate to illustrate complex systems. Be ready to answer detailed questions about your contributions.

• Company Alignment: Research Together AI's mission and technical challenges. Frame your portfolio examples to demonstrate how your skills align with their needs, particularly in AI infrastructure and platform development.

Challenge Preparation:

• System Design Practice: Focus on designing distributed systems, microservices, and scalable web application architectures. Practice breaking down problems, identifying components, defining APIs, and considering scalability, reliability, and maintainability.

• Coding Proficiency: Brush up on algorithms, data structures, and idiomatic TypeScript/JavaScript. Practice writing clean, efficient, and well-tested code.

• Performance Optimization: Understand concepts like caching, lazy loading, code splitting, and how to measure and improve Web Vitals.

• Architectural Patterns: Be ready to discuss patterns like BFF, micro-frontends, event-driven architecture, and their applicability.

📝 Enhancement Note: The interview process for a Staff Engineer role is rigorous, focusing heavily on technical depth, system design, and proven experience in architectural leadership. A well-curated portfolio showcasing tangible impact is essential.

🛠 Tools & Technology Stack

Primary Tools:

• Frontend Frameworks: React, Next.js (core technologies for the platform).

• Languages: TypeScript (primary for both frontend and backend), Node.js (for backend runtime and BFF).

• Backend/API: Node.js, potentially Express.js or similar frameworks for BFF layer.

• Architecture: BFF (Backend For Frontend) patterns, modular application design.

Analytics & Reporting:

• Tools for monitoring Web Vitals and application performance (e.g., Lighthouse, Chrome DevTools, potentially integrated APM solutions like Datadog, New Relic).

CRM & Automation:

• While not directly listed, standard developer tools for version control (Git), CI/CD pipelines (e.g., GitHub Actions, GitLab CI), and project management (e.g., Jira, Asana) are assumed.

• Integration tools might be relevant for connecting various backend services and APIs.

📝 Enhancement Note: Proficiency in the specified modern web stack (React, Next.js, TypeScript, Node.js) is paramount. Experience with performance monitoring and establishing technical standards are key requirements.

👥 Team Culture & Values

Operations Values:

• Innovation & Research: A strong emphasis on advancing AI research and building cutting-edge infrastructure.

• Openness & Transparency: Commitment to open-source contributions and transparent AI systems.

• Collaboration: Working together across disciplines (software, hardware, algorithms, models) to achieve ambitious goals.

• Efficiency & Scalability: Driving down the cost of AI systems requires a focus on efficiency and building scalable solutions.

• Technical Excellence: A culture that values deep technical expertise, rigorous problem-solving, and high-quality engineering.

Collaboration Style:

• Peer-to-peer leadership and partnership with other platform leads (Backend, API).

• Close collaboration with SRE for production readiness and stability.

• Mentorship and knowledge sharing within the product engineering team.

• A culture that likely encourages open discussion of technical challenges and solutions.

📝 Enhancement Note: The values align with a mission-driven, technically focused organization. Candidates should be prepared to demonstrate how they embody these values through their work and approach.

⚡ Challenges & Growth Opportunities

Challenges:

• Architectural Transformation: Migrating from a monolithic architecture to a modular, scalable platform while maintaining feature velocity is a significant technical challenge.

• Balancing Innovation and Stability: Ensuring the platform supports rapid feature development for product teams while maintaining high levels of reliability and performance.

• Cross-Functional Alignment: Effectively partnering with Backend and API Platform teams to ensure cohesive architectural evolution across all layers of the stack.

• Scaling Developer Velocity: Establishing and enforcing standards that enable a growing number of engineers to build features efficiently and consistently.

Learning & Development Opportunities:

• Deep Dive into AI Infrastructure: Gain hands-on experience with the unique challenges of building platforms for AI companies.

• Advanced Platform Architecture: Expand expertise in designing and implementing complex, high-leverage platforms.

• Mentorship: Opportunity to mentor and be mentored by senior engineers and researchers in the AI field.

• Industry Influence: Contribute to open-source projects and shape the future of AI infrastructure.

📝 Enhancement Note: This role presents complex technical challenges that offer substantial opportunities for professional growth and impact within the AI domain.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you led the architectural evolution of a significant platform. What were the key challenges, your approach, and the outcomes?" (Focus on process, trade-offs, and quantifiable results).

• "How would you approach reducing architectural entropy and duplication across a large web surface? What metrics would you track?" (Demonstrate strategic thinking and measurement).

• "Imagine our product teams are building features too slowly due to platform constraints. How would you diagnose the issue and what platform-level solutions would you propose?" (Focus on problem-solving, collaboration, and solution design).

Company & Culture Questions:

• "Why are you interested in Together AI and our mission to lower the cost of AI systems?" (Research their mission, open-source contributions, and articulate your alignment).

• "How do you approach collaboration with backend and API platform teams to ensure cohesive architectural development?" (Emphasize communication, shared goals, and API ergonomics).

Portfolio Presentation Strategy:

• Structure: Begin with the "why" – the problem your project solved. Then detail the "what" – your specific contributions, architectural decisions, and technical implementation. Conclude with the "so what" – the measurable impact and lessons learned.

• Visuals: Use clear diagrams for system architecture, data flows, and component interactions.

• Quantify Everything: Wherever possible, present data on performance improvements, efficiency gains, or adoption rates.

• Be Ready for Deep Dives: Anticipate detailed technical questions about your code, design choices, and trade-offs.

📝 Enhancement Note: Prepare to discuss your experience with platform ownership, architectural change, performance optimization, and cross-functional collaboration in detail, using your portfolio as evidence.

📌 Application Steps

To apply for this Staff Engineer position:

• Submit your application through the Greenhouse portal linked.

• Portfolio Customization: Tailor your resume and any supplementary materials to highlight your experience with product UI platforms, Next.js/TypeScript/Node.js, architectural evolution, and performance optimization. Prepare 2-3 key projects for detailed portfolio discussion.

• Resume Optimization: Ensure your resume clearly articulates your years of experience, specific technical skills (React, Next.js, TypeScript, Node.js), and quantifiable achievements in platform ownership and architectural leadership. Use keywords from the job description.

• Interview Preparation: Practice system design and coding problems, focusing on scalability, modularity, and performance. Prepare to discuss your portfolio projects in depth, emphasizing your role, decisions, and impact.

• Company Research: Thoroughly research Together AI's mission, products, open-source contributions, and recent news. Understand their position in the AI landscape and how your role contributes to their goals.

⚠️ 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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