Full Stack Engineer, Prototyping

📍 Job Overview

Job Title: Full Stack Engineer, Prototyping
Company: Miro
Location: London, UK
Job Type: Full-Time
Category: Engineering / Software Development Date Posted: 2025-10-23
Experience Level: Mid-Senior Level (5+ years)
Remote Status: On-site

🚀 Role Summary

• This role focuses on building innovative, AI-powered prototyping features that transform user ideas into interactive prototypes quickly.
• You will be a key contributor to the Prototyping team, leveraging your full-stack development skills to enhance user experience and product design workflows.
• This position requires a blend of frontend expertise (React, TypeScript) and backend proficiency (Kotlin), with a strong emphasis on AI integration.
• You will collaborate extensively with cross-functional teams, including design, product management, and AI/ML specialists, to drive product iteration and deliver impactful features.

📝 Enhancement Note: This role is positioned as a "Full Stack Engineer, Prototyping" within Miro's Prototyping team, indicating a focus on both frontend and backend development for AI-driven product features. The "5+ years of professional experience" and the expectation to "own frontend components end-to-end" suggest a mid-to-senior level position. The emphasis on "rapid iteration" and "fast-paced environments" is typical for growth-stage tech companies like Miro.

📈 Primary Responsibilities

• Develop and implement intuitive, AI-powered prototyping features using React, TypeScript, and Kotlin, enabling rapid conversion of user prompts and ideas into interactive flows.
• Collaborate closely with product designers, product managers, and AI/ML engineers to conceptualize, build, test, and iterate on user-facing features, ensuring alignment with product strategy and user needs.
• Translate complex user problems and early-stage product concepts into well-defined technical implementation plans, architectural designs, and actionable development tasks.
• Take full ownership of frontend components, managing the entire lifecycle from initial architecture and implementation through to rigorous testing, performance optimization, and ongoing monitoring.
• Actively participate in code reviews, technical planning sessions, and contribute to the continuous improvement of engineering best practices, code quality, and team productivity.
• Contribute to the integration of generative AI capabilities into user workflows, enhancing the efficiency and creativity of the product design process.
• Analyze and address user feedback and performance metrics to drive iterative improvements and enhance the overall user experience of the prototyping tools.

📝 Enhancement Note: The responsibilities highlight a hands-on engineering role with significant ownership. The emphasis on "translating fuzzy user problems" and "owning frontend components end-to-end" suggests a need for strong problem-solving skills and a proactive approach to development. Collaboration with AI/ML teams is a key differentiator for this role.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience, is generally expected for roles requiring 5+ years of professional development.

Experience: A minimum of 5 years of professional full-stack development experience is required, with a proven track record of delivering complex software solutions.

Required Skills:

• Proficient in full-stack development methodologies and best practices.
• Strong frontend development expertise, including advanced proficiency in JavaScript/TypeScript and modern frameworks such as React.
• Solid backend development experience, with a preference for Java and/or Kotlin.
• Demonstrated experience in building and shipping digital products that incorporate AI or machine learning functionalities.
• Proven ability to work effectively within cross-functional teams, collaborating with product management and design to achieve shared goals and deliver tangible impact.
• Excellent communication and interpersonal skills, with the ability to articulate technical concepts clearly and collaborate effectively across disciplines.
• A detail-oriented approach, balancing meticulous execution with a clear understanding of the broader project objectives and business impact.
• A growth-oriented mindset, actively seeking feedback, embracing learning opportunities, and demonstrating a commitment to continuous professional development.
• High level of user empathy and a strong sense of ownership for product quality and overall team success.

Preferred Skills:

• Experience with generative AI models and their integration into user-facing applications.
• Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and CI/CD pipelines.
• Experience with performance monitoring tools and techniques for web applications.
• Contributions to open-source projects or a strong GitHub profile showcasing relevant work.
• Experience in a fast-paced, agile startup or scale-up environment.

📝 Enhancement Note: The requirements emphasize a blend of technical depth and soft skills crucial for collaborative product development. The explicit mention of "AI-powered digital products" and the preference for Kotlin suggest a specific technology stack focus. The "growth-oriented mindset" and "user empathy" point towards a culture that values continuous improvement and user-centric design.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase of end-to-end full-stack projects demonstrating proficiency in both frontend (React, TypeScript) and backend (Kotlin) development.
• Examples of AI-integrated features or products, highlighting your role in their design, development, and deployment.
• Case studies detailing the process of translating user problems or early concepts into functional, scalable solutions.
• Demonstrations of contributions to performance optimization, code quality improvements, and robust testing strategies.
• Evidence of successful collaboration within cross-functional teams, illustrating your ability to align technical execution with product and design goals.

Process Documentation:

• Examples of technical design documents or architectural overviews for features you've led.
• Documentation of testing strategies, including unit, integration, and end-to-end testing approaches.
• Portfolios should reflect an understanding of agile development methodologies, including iterative development and feedback loops.
• Showcase of how you've monitored and maintained the performance and reliability of deployed features.

📝 Enhancement Note: For a role with "5+ years of experience" and a focus on "AI-powered features" and "end-to-end ownership," a robust portfolio is essential. Applicants should be prepared to demonstrate not just coding ability, but also strategic thinking, problem-solving skills, and a comprehensive understanding of the software development lifecycle, particularly as it applies to innovative, AI-driven products.

💵 Compensation & Benefits

Salary Range: For a Full Stack Engineer with 5+ years of experience in London, UK, the estimated salary range is £70,000 - £100,000 per annum. This range accounts for the cost of living in London, the demand for skilled full-stack engineers, and Miro's likely positioning as a competitive employer in the tech sector.

Benefits:

• Competitive Equity Package: Opportunity for significant ownership in a growing company.
• Health Insurance: Comprehensive coverage for employees and their families.
• Corporate Pension Plan: Contribution towards long-term financial security.
• Office Perks: Daily provision of lunch, snacks, and drinks in the office.
• Wellbeing Support: Benefits focused on employee wellness, including a work-from-home equipment allowance.
• Learning & Development: An annual allowance dedicated to professional growth, skill enhancement, and career development.
• Global Team Collaboration: Opportunity to work with and learn from a diverse, international team.

Working Hours: The standard working hours are likely 40 hours per week, typical for a full-time engineering role. While the role is on-site, there may be flexibility in daily start and end times, common in tech environments, to accommodate team collaboration and personal needs.

📝 Enhancement Note: The salary range is an estimate based on industry benchmarks for experienced full-stack engineers in London, UK. Miro, as a global company, likely offers a competitive benefits package. The mention of "competitive equity" is a significant factor for engineering roles at growth-stage tech companies.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology / Software as a Service (SaaS), with a focus on collaborative visual workspaces and AI-powered product development tools. Miro operates in a rapidly evolving market driven by digital transformation and remote work trends. Company Size: Miro has over 1,600 employees globally, indicating it's a large scale-up or established tech company. This size suggests a blend of structured processes and the agility of a growing organization, offering opportunities for impact and career progression. Founded: Founded in 2011, Miro has a decade-plus of experience, establishing a strong market presence and a mature product. This history implies a stable yet innovative environment.

Team Structure:

• The Prototyping team is likely a focused unit within Miro's broader engineering organization, comprising engineers, designers, product managers, and potentially AI/ML specialists.
• Reporting structure will likely involve a Engineering Manager or Team Lead, with engineers collaborating across disciplines.
• Cross-functional collaboration is a core tenet, as evidenced by the emphasis on working with design, PM, and AI/ML teams to rapidly iterate and ship features.

Methodology:

• Data Analysis & Insights: Miro likely employs data-driven decision-making, using user analytics and A/B testing to inform product development and feature iteration.
• Workflow Planning & Optimization: The team's focus on "turning early-stage ideas into shareable, collaborative visuals" and "accelerating the product design process" points to a methodology centered on efficiency, speed, and user-centric design optimization.
• Automation & Efficiency: The integration of AI/ML into prototyping inherently drives automation and efficiency, a key theme for the team's mission.

Company Website: https://miro.com/

📝 Enhancement Note: Miro's description emphasizes innovation, collaboration, and a "dream big" culture. The company's growth to over 1.6 million users and 250,000 companies indicates a successful product with significant market adoption. The "Prototyping" team's specific focus on AI and rapid iteration aligns with broader tech trends and Miro's mission to empower teams.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a Full Stack Engineer with 5+ years of experience, indicating a mid-to-senior level. It requires independent contribution, technical leadership within the team, and the ability to mentor more junior engineers. The emphasis on end-to-end ownership and translating fuzzy problems suggests a role that offers significant autonomy and responsibility.

Reporting Structure: The engineer will likely report to an Engineering Manager or a Lead Engineer within the Prototyping team. They will work closely with Product Managers and Designers, forming a core product squad.

Operations Impact: This role has a direct impact on Miro's product innovation and user experience. By building AI-powered prototyping tools, the engineer contributes to accelerating the product design cycle for Miro's millions of users, directly influencing user adoption, satisfaction, and ultimately, Miro's market position. The success of these features can drive customer acquisition and retention for the company.

Growth Opportunities:

• Technical Specialization: Deepen expertise in AI/ML integration, frontend architecture (React/TypeScript), and backend development (Kotlin), potentially becoming a subject matter expert.
• Leadership Development: Opportunities to lead feature development, mentor junior engineers, and contribute to architectural decisions, paving a path towards Senior Engineer or Tech Lead roles.
• Cross-Functional Exposure: Gain deeper insights into product management, UX design, and AI/ML research through close collaboration.
• Broader Impact: Contribute to core product areas of Miro, potentially moving into different product teams or specializations within the engineering organization.
• Learning & Development: Utilize the annual learning and development allowance for courses, conferences, or certifications relevant to AI, full-stack development, or leadership.

📝 Enhancement Note: The role offers significant potential for growth, both technically and professionally. The "AI-powered" aspect of the team's work provides a unique learning opportunity in a high-demand field. The emphasis on end-to-end ownership and collaboration with product/design indicates a role where individuals can make a substantial impact and develop a comprehensive understanding of product development.

🌐 Work Environment

Office Type: The role is specified as "On-site" in London, UK, indicating a physical office environment. Miro emphasizes a collaborative workspace, suggesting an open-plan or hybrid office setup designed to foster interaction and teamwork.

Office Location(s): The primary office location is London, UK. Specific details about the office address, amenities, and accessibility would typically be provided during the interview process.

Workspace Context:

• Collaborative Environment: The office setup is likely designed to encourage spontaneous interactions, brainstorming sessions, and team collaboration, aligning with Miro's core values.
• Tools & Technology: Engineers will have access to the necessary hardware, software, and development tools to perform their roles effectively. This includes high-performance workstations and access to Miro's internal development infrastructure.
• Team Interaction: Opportunities for regular face-to-face interaction with team members, product managers, designers, and other engineering colleagues, facilitating quick feedback loops and knowledge sharing.

Work Schedule: The role is full-time, with standard office hours in London (Europe/London timezone). While the role is on-site, there might be some flexibility in daily schedules to accommodate personal needs or team events, though the core working days will be in the office to facilitate collaboration.

📝 Enhancement Note: The "on-site" requirement in London suggests a company that values in-person collaboration and team cohesion, especially for a team focused on rapid iteration and AI product development. This environment is conducive to quick problem-solving and fostering a strong team dynamic.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review your application and potentially conduct a brief introductory call to assess fit.
• Technical Interview(s): Expect one or more technical interviews focusing on coding challenges, system design, and problem-solving skills relevant to full-stack development and AI integration. This may include live coding exercises or take-home assignments.
• Team/Hiring Manager Interview: A discussion with the hiring manager and/or team members to delve deeper into your experience, problem-solving approach, collaboration style, and cultural fit. This is where your portfolio would be discussed in detail.
• Cross-functional Interview: Potentially an interview with a Product Manager or Designer to assess your ability to collaborate effectively across disciplines and translate user needs into technical solutions.
• Final Interview/Offer: A concluding discussion, possibly with a more senior engineering leader, followed by an offer.

Portfolio Review Tips:

• Highlight AI Integration: Clearly showcase projects where you've worked with AI/ML or built AI-powered features, explaining your specific contributions and the technologies used.
• Demonstrate End-to-End Ownership: Select projects that illustrate your ability to handle tasks from conception through to deployment and monitoring, covering both frontend and backend aspects.
• Structure for Impact: For each project, clearly articulate the problem, your solution, the technologies employed, your role, and the measurable outcomes or impact. Use metrics where possible (e.g., performance improvements, user adoption rates).
• Showcase Collaboration: Be prepared to discuss how you've worked with designers and product managers, providing examples of successful cross-functional collaboration.
• Technical Depth: Be ready to discuss architectural decisions, trade-offs, and technical challenges encountered and how you overcame them.

Challenge Preparation:

• Coding Proficiency: Practice common data structures and algorithms, as well as JavaScript/TypeScript and potentially Kotlin coding problems.
• System Design: Prepare for system design questions, focusing on scalability, performance, and the integration of AI components.
• Behavioral Questions: Reflect on your experience with collaboration, problem-solving, handling ambiguity, and continuous learning, using the STAR method (Situation, Task, Action, Result).

📝 Enhancement Note: The interview process for a role like this at a company like Miro will likely be rigorous, focusing on both technical acumen and cultural fit. A strong portfolio that clearly demonstrates AI experience and end-to-end ownership is crucial for success.

🛠 Tools & Technology Stack

Primary Tools:

• Frontend Framework: React is explicitly mentioned, indicating it's the primary library for building user interfaces.
• Frontend Languages: JavaScript and TypeScript are essential, with TypeScript being preferred for its type safety and scalability.
• Backend Language: Kotlin is preferred for backend development, suggesting a modern, JVM-based ecosystem. Java experience is also considered a plus.
• AI/ML Integration: While specific AI/ML tools aren't listed, expect to work with APIs or SDKs that interface with generative AI models.

Analytics & Reporting:

• Product Analytics: Miro likely uses tools like Amplitude, Mixpanel, or Pendo for tracking user behavior, feature adoption, and conversion rates.
• Performance Monitoring: Tools such as Datadog, Sentry, or New Relic may be used for application performance monitoring, error tracking, and logging.

CRM & Automation:

• CRM: While not directly relevant to this engineering role's daily tasks, Miro would use a CRM (e.g., Salesforce) for sales and customer management. Understanding how engineering contributions impact these systems is beneficial.
• CI/CD: Expect to work with CI/CD pipelines for automated testing and deployment, potentially using tools like Jenkins, GitLab CI, CircleCI, or GitHub Actions.
• Cloud Platform: Miro likely utilizes a major cloud provider such as AWS, GCP, or Azure for its infrastructure.

📝 Enhancement Note: The technology stack points towards a modern, scalable web application architecture. Proficiency in React, TypeScript, and Kotlin, along with an understanding of AI integration and cloud infrastructure, are key technical requirements for this role.

👥 Team Culture & Values

Operations Values:

• Innovation & Creativity: The team's focus on AI-powered prototyping and "turning early-stage ideas into shareable, collaborative visuals" highlights a culture that values creative problem-solving and pushing technological boundaries.
• Collaboration & Teamwork: Miro strongly emphasizes collaboration, both within the engineering team and across departments (design, product, AI/ML). This is essential for rapidly iterating on features.
• User Empathy & Ownership: A core value is understanding and catering to user needs, coupled with a strong sense of responsibility for the quality and success of the product features developed.
• Growth & Continuous Improvement: The "growth-oriented mindset" and "openness to feedback" indicate a culture that encourages learning, skill development, and adapting to new challenges and technologies.
• Speed & Agility: The need to "ship and iterate on user-facing features at speed" suggests a fast-paced environment where quick decision-making and efficient execution are valued.

Collaboration Style:

• Cross-Functional Integration: Engineers work hand-in-hand with product managers and designers, forming cohesive product teams that share ownership and drive decisions collectively.
• Open Communication: A culture of open dialogue, constructive feedback during code reviews, and transparent sharing of technical challenges and solutions.
• Knowledge Sharing: Encouragement of sharing best practices, learnings from new technologies (like AI), and insights gained from user feedback and data analysis.

📝 Enhancement Note: Miro's stated values of "dreamers," "work hard," and "stay humble" translate into a culture that balances ambitious goals with practical execution and a supportive team environment. The emphasis on "creating a supportive, welcoming, and innovative environment" is central to their operational ethos.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapid Iteration in AI: Keeping pace with the fast-evolving field of AI and integrating new capabilities into a user-friendly product requires continuous learning and adaptability.
• Balancing Innovation with Stability: Rapid development of cutting-edge features must be balanced with maintaining a stable, performant, and reliable platform for millions of users.
• Translating Ambiguity: Effectively translating "fuzzy user problems and early concepts" into concrete technical requirements and robust solutions is a constant challenge.
• Cross-Disciplinary Communication: Ensuring clear and effective communication between engineering, design, product, and AI/ML teams to maintain alignment and prevent silos.

Learning & Development Opportunities:

• AI/ML Integration Expertise: Gain hands-on experience with cutting-edge AI technologies and their application in product development, a highly sought-after skill.
• Advanced Frontend Architecture: Deepen knowledge in modern React patterns, TypeScript best practices, and frontend performance optimization.
• Backend Development Proficiency: Enhance skills in Kotlin and backend system design for scalable applications.
• Product Development Lifecycle: Develop a comprehensive understanding of the end-to-end product development process in a fast-growing tech company.
• Mentorship and Leadership: Opportunities to mentor junior engineers and potentially take on tech lead responsibilities within the team.

📝 Enhancement Note: The challenges presented are inherent to working on innovative AI products in a dynamic tech environment. These challenges also represent significant growth opportunities for engineers looking to expand their skill sets in high-demand areas.

💡 Interview Preparation

Strategy Questions:

• Operations Strategy: Be prepared to discuss how you would approach building an AI-powered feature from scratch, focusing on the technical steps, user validation, and iteration cycles. Think about how to balance rapid prototyping with long-term scalability and maintainability.
• Collaboration & Stakeholder Management: Prepare examples of how you've successfully collaborated with designers and product managers, particularly when there were differing opinions or technical constraints. Discuss how you ensure engineering aligns with product goals.
• Problem-Solving: Anticipate questions about how you'd debug a complex issue in a distributed system or how you'd optimize the performance of a slow-loading frontend component, especially one with AI integrations. Be ready to walk through your thought process.

Company & Culture Questions:

• Miro's Operations: Research Miro's product, its target audience, and its market position. Understand how the Prototyping team fits into Miro's overall strategy.
• Team Dynamics: Be ready to discuss your preferred team environment, how you handle feedback, and what you value in team collaboration. Draw parallels to Miro's emphasis on collaboration and growth.
• Impact Measurement: Prepare to discuss how you measure the success of features you build, focusing on user impact, performance metrics, and contribution to business goals.

Portfolio Presentation Strategy:

• Narrative Flow: Structure your portfolio presentation around a story for each project: the problem, your solution, the technical details, and the outcome.
• Quantify Impact: Whenever possible, use data and metrics to demonstrate the success of your work (e.g., "improved loading time by X%", "increased feature adoption by Y%").
• Technical Depth & Trade-offs: Be ready to dive deep into the technical aspects of your projects, explaining architectural decisions and any trade-offs you made.
• AI Focus: Clearly articulate your role and contributions in any AI-related projects, explaining the challenges and successes.
• Engage the Interviewer: Make it an interactive discussion, allowing time for questions and deeper dives into specific areas of interest.

📝 Enhancement Note: Effective preparation for this role involves not only showcasing technical skills but also demonstrating strategic thinking, strong collaboration abilities, and a clear understanding of Miro's product and culture. The portfolio review is a critical component for assessing practical application of skills.

📌 Application Steps

To apply for this Full Stack Engineer, Prototyping position:

• Submit your application through the Miro careers portal via the provided link.
• Resume Optimization: Tailor your resume to highlight your experience with React, TypeScript, Kotlin, full-stack development, and any work involving AI or machine learning. Quantify achievements with specific metrics where possible.
• Portfolio Preparation: Curate a portfolio that showcases your best full-stack projects, with a particular emphasis on AI integration, end-to-end ownership, and collaborative development. Be ready to present and discuss 2-3 key projects in detail.
• Technical Practice: Refresh your knowledge of data structures, algorithms, and system design, and practice coding problems in JavaScript/TypeScript and potentially Kotlin.
• Company Research: Familiarize yourself with Miro's product, mission, values, and recent news. Understand the Prototyping team's specific contribution to Miro's offerings.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with Miro before making application decisions.

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