About the Team

At Miro, design is intrinsic in everything we do. As a business we are on a mission to redefine how great work is done, and as a design team we aim to make that as easy and delightful as possible. We operate in a fast-paced environment and get to have a direct impact on the millions of users who rely on Miro to collaborate and create the next big thing.

As a part of our Product Design team, you will contribute to our design process, culture, and experience principles and set new standards for design quality.

Learn more about our design team and culture: https://miro.design

About the Role

Miro is looking for a Sr Product Designer to lead the design vision for our Engage product - Miro’s newest product, as well as our suite of facilitation tools that help teams run workshops, energise meetings, and make decisions together. Think Sticky Notes, Flip Cards, Spinner Wheel and beyond.

The successful candidate will have an exceptional eye for detail, and will be able to showcase best-in-class UI design in their portfolio. They'll be an AI-native designer - someone who doesn't just see AI as a feature, but as a fundamental shift in the product development process and ultimately, a massive opportunity.

This isn't just about refining a feature; it's about defining the future of how millions of people collaborate and work effectively together.

What you’ll do

• Define the North Star for Miro Engage. Articulate a product vision that challenges category norms and positions Miro ahead of where the market is going – not just where it is today
• Lead AI-first innovation. Explore how generative AI can fundamentally close the gap between early concept and working product – and bring the rest of the team with you on that journey
• Take an entrepreneurial approach to execution. Navigate ambiguity, build lean experiments, and treat Engage like your own product within Miro. You move fast and make considered bets
• Bring mastery of the design tool landscape. Create a best-in-class facilitation experience that rivals any competitor while maintaining Miro's signature ease of use, and considering how Engage fits across our wider suite of formats
• Drive cross-functional strategy. Partner with Product and Engineering to solve complex challenges around AI quality, feature discoverability, and the seamless transition between Miro's infinite canvas and format focus modes
• Raise the bar for design craft. Set the standard for design quality at Miro, mentoring other designers and contributing to the evolution of our design systems and internal tooling

What you’ll need

• 7+ years of product design experience, ideally in B2B SaaS or AI-focused roles
• A strong portfolio demonstrating both user impact and business outcomes – clear thinking, not just visual polish
• Exceptionally strong UI and interaction skills
• A demonstrated understanding of AI and AI-native design, with examples of how you've applied it in practice
• Experience working closely with Product Management and Engineering to ship complex, user-centred products
• Deep understanding of UX practices, information architecture, and user-centred design methodologies
• Strong written and verbal communication skills, with the ability to articulate the value of design across diverse teams

What's in it for you

We want you to feel supported, connected, and ready to grow. Our global benefits package generally includes equity, a wellbeing benefit, a WFH equipment allowance, and an annual Learning & Development stipend. Join a diverse team where you can do your best work. Full benefits may differ per location. If you would like to learn more about location-specific benefits, please refer to our Global Miro benefits board.

About the Team

At Miro, design is intrinsic in everything we do. As a business we are on a mission to redefine how great work is done, and as a design team we aim to make that as easy and delightful as possible.

We operate in a fast-paced environment and get to have a direct impact on the millions of users who rely on Miro to collaborate and create the next big thing. As a part of our Product Design team, you will contribute to our design process, culture, and experience principles and set new standards for design quality. 

Learn more about the colorful design team and our culture: https://miro.design/

About the Role

Miro is looking for a visionary Staff Product Designer to lead the charge for our Prototypes product. This isn’t just about refining a feature; it’s about defining the future of how millions of people bring their ideas to life.

As a key leader within the Canvas Modes stream, you will lead the long-term design strategy for Prototyping at Miro. We are looking for an AI Native designer - someone who doesn’t just see AI as a feature but as a fundamental shift in the product development process and ultimately, a massive opportunity.

You will be tasked with shaping not just where Miro’s Prototype offering should be, but where it is going - ensuring we aren't just keeping pace with the market, but setting it.

What you’ll do

• Define and drive the North Star for Miro Prototyping. You’ll articulate a vision that disrupts the norms and looks where the market is going.
• Be a tireless innovator in the AI space. You will explore how generative AI can collapse the gap between a rough sketch and full functioning app.
• Approach the product with an entrepreneurial spirit and sense of ownership. You’ll navigate ambiguity, build lean experiments, and treat the Prototyping mode as your own startup within Miro.
• Leverage your deep understanding of the design tool landscape to create a best-in-class experience that rivals any competitor while maintaining Miro’s ease of use and considering our other suite of formats.
• Partner with Product and Engineering to solve complex technical challenges around AI quality, discoverability, and the seamless transition between the ‘infinite canvas’ and ‘Prototypes Focus Mode’.
• Set the bar for design excellence at Miro, mentoring other designers and contributing to the evolution of our design systems and internal tooling.

What you’ll need

• 10+ years of product design experience, ideally in B2B SaaS or AI-focused roles.
• At least 2-3 years operating at a Staff / Principal level, with proven ownership of complex initiatives.
• A strong portfolio showcasing your ability to create clear, user-focused products and strategies. Demonstrating both the impact on user experience and business goals.
• A deep understanding of AI and AI design tooling and the ability to show you’re leading the charge.
• Proven experience working closely with cross-functional teams, including product management, UX design, and engineering, to deliver seamless content solutions.
• Deep understanding of UX practices, information architecture, and user-centred design methodologies.
• Strong written and verbal communication skills, with the ability to articulate the value of design and collaborate effectively across diverse teams.
• A proactive and flexible approach, comfortable working autonomously in a fast-paced, sometimes ambiguous environment and managing multiple priorities.
• Experience working on design tools, editors, or creative software is a massive plus.

What's in it for you

We want you to feel supported, connected, and ready to grow. Our global benefits package generally includes equity, a wellbeing benefit, a WFH equipment allowance, and an annual Learning & Development stipend. Join a diverse team where you can do your best work. Full benefits may differ per location. If you would like to learn more about location-specific benefits, please refer to our Global Miro benefits board.

#LI-VS1

About the Team

About the Role

What you’ll do

• Own creative decisions end-to-end as the conceptual partner to the Head of Creative, eliminating bottlenecks and freeing senior leadership to focus on broader strategy and thinking
• Lead development and execution of major brand campaigns, maintaining creative coherence across all channels and touchpoints
• Evolve Miro's visual brand identity, bringing fresh creative thinking while ensuring brand standards are upheld across every deliverable
• Build and mentor the creative team, establishing standards that elevate collective output rather than creating dependency on any one person
• Champion AI tool adoption across the team, actively embedding AI-assisted workflows into standard production practice, not just personal use
• Establish creative authority with cross-functional stakeholders across product, marketing, and the executive team, creating clarity and confidence in creative decision-making

What you’ll need

• 8+ years of creative leadership experience with a portfolio spanning brand-building and integrated campaign execution, ideally in B2B SaaS or enterprise technology
• Demonstrated ability to develop and evolve brand platforms: visual identity, messaging architecture, and multi-tiered creative frameworks
• Proven track record leading integrated campaigns across paid, digital, social, OOH, and events from a single organizing concept
• Active hands-on proficiency with AI creative tools, with evidence of embedding these into team workflows
• Strong people leadership with a track record of developing creatives and elevating team output, not just directing execution
• Operates with proactive ownership as a baseline: identifies problems and drives solutions without waiting for structure or direction

What's in it for you

We want you to feel supported, connected, and ready to grow. Our global benefits package generally includes equity, a wellbeing benefit, a WFH equipment allowance, and an annual Learning & Development stipend. Join a diverse team where you can do your best work. Full benefits may differ per location. If you would like to learn more about location-specific benefits, please refer to our Global Miro benefits board.

#LI-ED1

#LI-DNI

Miro is looking for a Machine Learning Research Engineer to serve as the technical "North Star" for our Machine Learning organization. You will operate as an Individual Contributor, driving the architectural decisions behind the "Intelligent Canvas."

Your challenge is unique in the industry: You are not just processing text. You are building models that understand spatial relationships, visual diagrams, and unstructured collaboration. You will research, prototype, and ship novel architectures that combine Large Language Models (LLMs), Computer Vision, and Graph Neural Networks (GNNs) to make Miro the smartest collaboration platform on earth.

What you’ll do

• Design, train, and ship production-grade ML models—including deep learning, NLP, and computer vision systems—that solve complex business problems and power core product features.
• Conduct deep exploratory research on massive datasets to uncover novel patterns in user behavior and content creation, translating raw data insights into new predictive modeling opportunities.
• Apply advanced fine-tuning strategies (e.g., PEFT, LoRA) to adapt state-of-the-art foundation models to specific domain tasks, rigorously experimenting to maximize performance.
• Architect scalable ML pipelines for data processing, feature engineering, training, and evaluation, ensuring high data quality and system reliability.
• Optimize model performance for latency, throughput, and resource utilization, balancing model complexity with production constraints (e.g., overfitting vs. underfitting, compute efficiency).
• Collaborate cross-functionally with data engineers, product managers, and software engineers to translate business requirements into technical ML specifications and integrate models into user-facing applications44.
• Champion MLOps excellence by automating deployment workflows, implementing CI/CD for ML, and establishing robust monitoring for model drift and health.
• Stay at the forefront of ML research, evaluating novel algorithms and techniques (e.g., Transformer architectures, quantization) to drive innovation and technical strategy.

What you’ll need

• Strong foundation in ML theory and statistics, including hypothesis testing, probability distributions, regression, classification, and optimization techniques.
• Solid engineering fundamentals. You are comfortable writing production-level Python and have a deep understanding of data structures, algorithms, and distributed system design.
• Deep proficiency in Python and the modern ML stack, with hands-on experience using libraries like Pandas, NumPy, Scikit-learn, and deep learning frameworks (PyTorch, TensorFlow).
• Gradient Debugging: Expertise in PyTorch or JAX, including experience with distributed training (e.g., DDP, FSDP) and debugging complex gradient issues.
• Applied Research: Ability to read, implement, and improve upon the latest academic papers (NeurIPS, ICML, CVPR). You don't just use libraries; you understand the math underneath them and can reproduce results in peer-reviewed papers.
• Track record of end-to-end ML delivery, from exploratory data analysis (EDA) and feature engineering to training, validation, and deploying models in a production environment.
• Experience with large-scale systems, capable of designing resilient architectures that handle vast datasets and high-throughput inference requests.
• Strong engineering mindset, valuing code quality, testing, modularity, and maintainability just as highly as model accuracy.

Education + Experience

• Option A: Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related field plus ~3+ years of professional ML engineering experience.
• Option B: No formal degree, ~6+ years of industry experience demonstrating equivalent proficiency in building and shipping ML systems.

What's in it for you

LON:

• Competitive equity package
• Health insurance for you and your family
• Corporate pension plan
• Lunch, snacks and drinks provided in the office
• Wellbeing benefit and WFH equipment allowance
• Annual learning and development allowance to grow your skills and career
• Opportunity to work for a globally diverse team
  

Multi Location: Amsterdam / Berlin / Yerevan / London:

• Competitive equity package
• Lunch, snacks and drinks provided in the office
• Wellbeing benefit and WFH equipment allowance
• Annual learning and development allowance to grow your skills and career
• Opportunity to work for a globally diverse team

Recruiter: #LI-MH1

About the Team

Miro is on a mission to empower teams to create the next big thing, and our teams are at the forefront of making that vision a reality. Our teams drive AI-powered innovation across Miro's platform by building robust technical foundations, delightful product features, and intelligent capabilities that transform how users interact with content on the canvas. Whether developing structured widget capabilities that help users visualize and interact with complex information, building AI platform infrastructure, or creating intelligent features that anticipate user needs, our work is foundational to Miro's evolution.

About the Role

As an AI Engineer, you'll design and build AI-driven capabilities that enhance how users create, transform, and collaborate on canvas. You'll bridge AI innovation and product delivery - shipping delightful, safe, and reliable experiences that leverage cutting-edge LLMs while maintaining the performance and polish users expect from Miro's collaborative canvas.

What you’ll do

• Design, develop, and ship AI-driven capabilities—including agents, intelligent assistants, context-aware prediction, and generative AI—using Python, top-tier LLMs, TypeScript, React, Canvas, and WebGL
• Engineer high-performing AI workflows leveraging LLMs (OpenAI, Anthropic Claude, Google Gemini), prompt engineering, and generative techniques—ensuring reliability, scalability, and maintainability
• Execute end-to-end AI projects from conceptualization and prototyping to production code, collaborating closely with product managers, designers, and engineers
• Experiment and iterate on AI capabilities within your team domain, staying ahead of emerging AI tools, frameworks, and techniques
• Champion best practices in AI system development—including evaluations, LLMOps, CI/CD, observability, and ethical AI principles
• Measure and optimize AI performance, establishing benchmarks for user engagement, model accuracy, latency, error rate, and drift
• Write clean, well-tested, maintainable code, participating in code reviews and® technical discussions across the stream
• Troubleshoot and resolve production issues, ensuring high availability and performance

What you’ll need

• 3+ years of professional experience with a proven track record delivering AI-first capabilities in customer-facing products—driving value through features users directly interact with
• Excellent communication skills, able to translate complex technical concepts for non-technical stakeholders
• Strong Python skills and familiarity with FE technologies (e.g. Typescript, React etc)
• Demonstrated expertise in prompt engineering and context engineering using top-tier LLMs (OpenAI GPT, Anthropic Claude, Google Gemini)
• Ability to develop high-quality, production-ready code within complex codebases
• Experience with LLM evaluation frameworks and a track record of building evals that meaningfully inform model selection, prompt iteration, or feature quality.
• Solid understanding of ML fundamentals, including probabilistic modeling, evaluation techniques, and deep neural networks
• Experience with LLMOps and cloud services (AWS, Azure, Amazon Bedrock, etc.)
• AI-First Proficiency. We’re building for an AI-first future, and we’re looking for graduates who aren’t just using AI—they’re mastering it. We’re excited to meet early-career engineers who have moved beyond simple chat prompts and have truly integrated AI into their development flow. Whether it’s using AI agents for autonomous debugging, analyzing logs, or rapidly prototyping and shipping features to production, we value the ability to "pilot" these tools to deliver high-quality code at an ambitious pace.
• Nice-to-have: Experience with rendering technologies like WebGL, Canvas API, or 2D graphics libraries (PixiJS, Skia)
• Nice-to-have: Real-time technologies experience (WebSocket)
• Nice-to-have: Vector databases, RAG pipelines, LangChain, or agent frameworks
• Nice-to-have: Multi-modal AI or long-context handling
• Nice-to-have: ML frameworks: PyTorch, TensorFlow, Hugging Face Transformers

What's in it for you

We want you to feel supported, connected, and ready to grow. Our global benefits package generally includes equity, a wellbeing benefit, a WFH equipment allowance, and an annual Learning & Development stipend. Join a diverse team where you can do your best work. Full benefits may differ per location. If you would like to learn more about location-specific benefits, please refer to our Global Miro benefits board.

Recruiter: #LI-JR1

About the Team

About the Role

What you’ll do

• Design, develop, and maintain backend services that support pricing, packaging and monetization
• Create proof of concepts and prototypes to validate ideas
• Make appropriate trade-offs when supporting experimentation
• Work in a cross-functional team on projects to bring new products to market on top of our Monetization platform
• Contribute to or drive initiatives and experiments to optimise conversion or introduce new monetization capabilities
• Contribute to system architecture and infrastructure choices with a focus on scalability, performance, and maintainability
• Help shape and drive technical strategy for Miro's Pricing and Packaging platform
• Maintain high code quality through testing, code reviews, and automation
• Leverage the latest AI coding tools to optimise how you work with your team

What you’ll need

• 5+ years of backend engineering experience
• Strong experience with Java or Kotlin in production environments preferred
• Experience designing and maintaining scalable services
• Proficiency in modern development practices (CI/CD, observability, test automation)
• Strong ownership mindset and collaborative approach to problem-solving
• Experience working in a product-led company

What's in it for you

We want you to feel supported, connected, and ready to grow. Our global benefits package generally includes equity, a wellbeing benefit, a WFH equipment allowance, and an annual Learning & Development stipend. Join a diverse team where you can do your best work. Full benefits may differ per location. If you would like to learn more about location-specific benefits, please refer to our Global Miro benefits board.

About the Team

About the Role

What you’ll do

• Design and implement scalable, fault-tolerant backend services for email and in-app notifications
• Build and evolve event-driven, asynchronous pipelines that process high volumes of product and user events
• Create high-quality technical designs and write clean, maintainable, self-documented production code
• Ensure correctness, idempotency, deduplication, and delivery guarantees across notification flows
• Optimize performance, latency, and scalability while maintaining reliability under peak load
• Take long-term ownership of features and subsystems, including production health and evolution
• Collaborate with Product and Platform teams to deliver relevant and timely user notifications

What you’ll need

• 6+ years of backend development experience (Java 17, Kotlin, Spring / Spring Boot)
• At least 4+ years of experience building and operating distributed systems in production environments
• Strong understanding of event-driven architectures, async processing, and message-based systems
• Solid knowledge of high-load SaaS architecture, scalability, and reliability patterns
• Some experience with streaming/messaging platforms, notifications or feed-like systems (email, in-app, push, or similar)
• Familiarity with cloud infrastructure, preferably AWS, and production observability practices

AI-First Proficiency

We embrace AI-first development. Our ideal candidate has moved way beyond basic Copilot usage, and integrated AI agents into their entire SDLC—from autonomous debugging and log analysis to rapid prototyping and shipping features to production. We expect you to be an expert "pilot" who can orchestrate AI tools to deliver high-quality code at a pace that traditional workflows can't match. Practically this means that you are running multi-agent flows using tools like Claude Code, Cursor or similar. If you’ve optimized your workflow to be 10x faster using the latest AI tools, we want to talk to you.

What's in it for you

We want you to feel supported, connected, and ready to grow. Our global benefits package generally includes equity, a wellbeing benefit, a WFH equipment allowance, and an annual Learning & Development stipend. Join a diverse team where you can do your best work. Full benefits may differ per location. If you would like to learn more about location-specific benefits, please refer to our Global Miro benefits board.

Recruiter: #LI-VS1

Miro is the online workspace for innovation, used by 100M+ people to build the next big thing. We are seeking a Research Manager to lead the team defining the brain behind the "Intelligent Canvas."

This is not for building a standard GenAI or Recommendation engine. You will lead a team operating at the intersection of Vision, Language, and Graph Theory, working with a dataset unlike any other in the industry: spatial, unstructured, and deeply human collaboration data. You will bridge the gap between open-ended research (LLMs, Diffusion Models, GNNs) and product impact, empowering teams to dream, design, and build faster.

What You'll Do

• Build and lead a world-class applied research team, hiring and mentoring researchers who excel at the intersection of deep learning theory and production engineering.
• Define the research roadmap to support the "Intelligent Canvas," identifying opportunities to model complex user behaviors—from multi-user collaboration on an infinite canvas, to multi-format AI-powered generation (e.g. slide deck, technical diagram, web app prototypes, etc.), and more.
• Pioneer research on unique spatial datasets. Unlike standard text/image corpuses, you will explore massive multimodal and graph-based datasets, uncovering how teams organize information spatially and collaborate together to solve complex multi-modal problems.
• Drive the "Research-to-Product" velocity. You will create the framework for rapidly testing foundation models (e.g., GPT-4, Llama, Stable Diffusion) and fine-tuning them for specific domain tasks (e.g. prototype generation, diagram generation, mindmap generation).
• Cultivate a culture of scientific rigor. Encourage the team to stay at the cutting edge (NeurIPS, CVPR) while maintaining a relentless focus on shipping features that delight users.
• Partner with Engineering & Product Leadership to translate abstract AI capabilities into intuitive solutions that feel like magic to our users.
• Architect organizational processes for model governance, ensuring rigorous evaluation frameworks, reproducibility, and ethical AI practices.

What We're Looking For

• Proven track record of technical leadership: 2+ years of experience managing high-performing Applied Science or ML Engineering teams in a product-led tech company or top-tier research lab.
• Multimodal & GenAI Depth: You don't just use APIs; you understand the architecture of Transformers, Diffusion models, and Graph Neural Networks (GNNs). You can guide a team through the complexities of fine-tuning and RAG at scale.
• A "Product-First" Researcher: You understand that accuracy metrics (F1, AUC) are proxies, not goals. You prioritize user value and latency constraints in production.
• Curiosity for the "Unsolved": You are excited by the ambiguity of modeling "collaboration." How do you quantify a "good brainstorm"? How do you autocomplete a flowchart?
• Strategic Communication: You can articulate the difference between "hype" and "utility" to executive stakeholders and align research efforts with Miro’s long-term strategy.

Education + Experience

• Option A: PhD in Computer Science, Statistics, Mathematics, or related field + 2+ years of people management experience.
• Option B: Master’s degree or equivalent deep technical experience + 5+ years of industry experience in ML, including 2+ years of people management.

Bonus (Nice-to-Have)

• A portfolio of research contributions, including publications in top-tier conferences (NeurIPS, ICLR, KDD) or impactful technical blog posts.
• Familiarity with the modern MLOps stack and experience guiding teams in building their own research infrastructure.

What's in it for you

We want you to feel supported, connected, and ready to grow. Our global benefits package generally includes equity, a wellbeing benefit, a WFH equipment allowance, and an annual Learning & Development stipend. Join a diverse team where you can do your best work. Full benefits may differ per location. If you would like to learn more about location-specific benefits, please refer to our Global Miro benefits board.

Recruiter: #LI-MH1

Miro is looking for a Lead Research Scientist to serve as the technical "North Star" for our Machine Learning organization. You will operate as a high-level Individual Contributor (Staff/Principal level), driving the architectural decisions behind the "Intelligent Canvas."

Your challenge is unique in the industry: You are not just processing text. You are building models that understand spatial relationships, visual diagrams, and unstructured collaboration. You will research, prototype, and ship novel architectures that combine Large Language Models (LLMs), Computer Vision, and Graph Neural Networks (GNNs) to make Miro the smartest collaboration platform on earth.

What you’ll do

• Pioneer Novel Architectures: Move beyond off-the-shelf APIs. You will design and train custom architectures that fuse multimodal inputs (text, sketches, diagrams, screenshots, code, etc.) into a unified representation of user intent.
• Bridge Theory and Production: You will read the latest papers (NeurIPS, ICLR, CVPR) on Monday and have a working prototype by Friday. You bridge the gap between academic theory and scalable, low-latency production systems.
• Define the Technical Strategy: While Managers define what we build, you define how we build it. You will make high-stakes decisions on model selection (e.g., Diffusion vs. Autoregressive), build vs. buy, and fine-tuning strategies (LoRA, Q-LoRA).
• Mentorship & Technical Excellence: You will elevate the entire ML research engineering organization by conducting rigorous code reviews, hosting paper reading groups, and mentoring research engineers on mathematical fundamentals and experimental design.
• Solve the "Unsolved": You will tackle ambiguous problems with no StackOverflow answers—such as "How do we generate a valid UML diagram from a rough sticky-note brain dump?" or "How do we detect 'agreement' in a spatial cluster of comments?"

What you’ll need

• Deep Research Expertise: PhD or equivalent deep industrial experience in Computer Science, Math, or Physics. You have a track record of publishing in top-tier conferences or shipping models that serve millions of users.
• Public Track Record: A portfolio of patents, impactful open-source contributions, or first-author publications in top-tier conferences (NeurIPS, ICML, CVPR, ICLR).
• Mastery of the Modern Stack: You are an expert in PyTorch or JAX. You can implement complex loss functions from scratch and debug distributed training issues on massive GPU clusters.
• Specialization in Structure & Generation: Deep experience in at least one of the following: Generative AI (LLMs/Diffusion), Graph Neural Networks (GNNs), or Geometric Deep Learning. You understand how to model relationships, not just tokens.
• Engineering Rigor: You write clean, modular, production-ready code. You understand the trade-offs between model accuracy and inference latency.
• Communication: You can explain the "Why" behind complex mathematical concepts to Product Managers, Designers, and Executives, turning abstract research into a compelling product vision.

Education + Experience

• Option A: PhD in Computer Science, Machine Learning, Mathematics, Physics, or related field plus 4+ years of professional experience shipping ML at scale.
• Option B: Master’s degree or equivalent deep technical experience plus 7+ years of industry experience, with at least 2 years operating at a Senior or Staff level (driving technical strategy).

Bonus (Nice-to-Have)

• Graph Learning Expertise: Specific experience with Graph Neural Networks (GNNs) or Geometric Deep Learning. You understand how to apply ML to non-Euclidean data (like the node-edge relationships on a Miro canvas).
• Generative Media: Hands-on experience building or fine-tuning Diffusion models for image/video generation or Multimodal LLMs (vision + text).
• Performance Optimization: Experience porting models to constrained environments (e.g., ONNX, WebGpu, CoreML) or optimizing inference for real-time interaction in the browser.
• Domain Knowledge: Previous work in Computational Creativity, HCI (Human-Computer Interaction), or building tools for thought (e.g., knowledge graphs, whiteboarding tools).

What's in it for you

We want you to feel supported, connected, and ready to grow. Our global benefits package generally includes equity, a wellbeing benefit, a WFH equipment allowance, and an annual Learning & Development stipend. Join a diverse team where you can do your best work. Full benefits may differ per location. If you would like to learn more about location-specific benefits, please refer to our Global Miro benefits board.

Recruiter: #LI-MH1