Hey, you look like you might be our new Inside Sales Representative

Sales & Merchant Operations · Full-time · Copenhagen

Wolt is building the leading local commerce platform across Europe and beyond. Denmark is one of our core markets, and Inside Sales is the engine that drives merchant acquisition at scale — across both SMB Restaurant and Retail segments.

As an Inside Sales Associate, you will own the phone-based acquisition of restaurants and retail stores across Denmark. You will run the full sales cycle end-to-end — from first contact to signed partner — and be accountable for the selection we build in your portfolio. This role combines commercial ownership, high-volume execution, and disciplined pipeline management. If you thrive in a performance-driven environment where every call, every close, and every signed partner moves the business forward, this role gives you the mandate and scope to make a visible commercial impact from day one.

What you'll be doing

This role is about driving profitable growth across Denmark's Restaurant and Retail merchant landscape. You will own a portfolio of areas, work a structured pipeline, and consistently deliver high-quality partner acquisitions.

Day-to-day in this role you'll:

• Own the acquisition strategy and outcomes for your geographic portfolio — across both SMB Restaurant and Retail merchants
• Run the full sales cycle: prospecting, first contact, pitching, negotiating commercial terms, and signing partners
• Tailor your approach across verticals — restaurants, cafés, bakeries, specialty retail, convenience — each with its own economics and objections
• Maintain a healthy, forward-looking pipeline and strong forecast accuracy in CRM
• Deliver against weekly and monthly revenue and activation targets
• Negotiate commercial terms and conditions and collect all onboarding documentation
• Ensure a seamless handover to the merchant onboarding team
• Work closely with Account Management, Field Sales, and Operations to prioritise the right merchants in the right areas
• Contribute to the Inside Sales playbook — what's converting, what isn't, and what needs to change

Our humble expectations

We are looking for a commercially sharp seller with proven outbound experience and a genuine hunter mentality.

Must-have experience

• 2+ years of professional experience in outbound sales, business development, or merchant acquisition
• Demonstrated track record of carrying and hitting a quota
• Experience managing your own pipeline end-to-end in a CRM environment
• Comfort working the phone as a primary sales channel, at volume

Core skills

• Fluency in Danish and English (both written and spoken) required
• Strong commercial instincts — you can read a merchant, adjust your pitch, and close on value
• Advanced negotiation skills and confidence handling objections
• Structured, data-informed approach to pipeline and prioritisation
• Ability to operate effectively in a fast-paced, performance-driven environment
• Ownership mindset — you treat your portfolio like it's your own business

Nice to have

• Direct experience in hospitality, retail, FMCG, or food delivery platforms
• Background in SMB merchant acquisition or marketplace sales
• Experience selling into both Restaurant and Retail segments
• Exposure to SaaS or platform-based commercial models
• Experience using AI or automation tools in sales workflows (lead scoring, prospecting, outreach)

What we offer

• Full ownership of a merchant portfolio in one of Wolt's core markets
• Dual-vertical exposure across SMB Restaurant and Retail — a commercial toolkit few sales roles offer this early
• A competitive salary and commission structure
• High visibility and direct influence on Denmark's merchant selection and growth
• A fast-paced, performance-driven environment where strategic thinking and execution excellence are equally valued
• Daily lunch, a Wolt order discount, a stocked office — plus a range of other local benefits

This is a role for a commercial operator — someone motivated by signed partners, pipeline discipline, and shaping the merchant landscape in Denmark.

Next steps

If this opportunity resonates, please submit your application via our careers page.

Our interview process includes:

1. Talent Acquisition call with our recruiter to discuss your background and sales experience
2. Conversation with the Hiring Manager focused on outbound execution, pipeline ownership, and commercial instincts
3. Case study or role-play exercise centered on real-world merchant acquisition scenarios
4. Final stage interview with a senior commercial leader assessing long-term potential and cultural fit

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’s Design team is on a mission to improve the experience of knowledge work, productivity tools, and remote collaboration. We produce best-in-class solutions for a future of work that’s diverse, intuitive, accessible, and enjoyable to use. Maybe that’s why our product is so globally beloved.

The Growth Design team is dedicated to designing experiences that help users understand Miro's value, make confident purchasing decisions, and upgrade at the right moments. We focus on pricing surfaces, packaging strategies, upgrade flows, paywalls, in-product prompts, and lifecycle touchpoints that convert free users into paying customers and guide existing customers to expand their usage. Operating across both self-serve (PLG) and enterprise segments, we design foundational systems that balance user experience with measurable business impact.

About the Role

As a Senior Product Designer for the Growth Monetisation team, you will design the experiences that directly influence how users perceive value, convert to paid plans, and expand their investment in Miro across both product-led growth and enterprise motion. You will run experiments and tackle complex, high-leverage challenges at the intersection of psychology, business strategy, and user experience, for individual buyers exploring Miro independently and enterprise teams navigating multi-stakeholder purchasing decisions.

What you’ll do

• Lead the end-to-end design of monetisation experiences, creating pricing pages, upgrade flows, checkout experiences, paywalls, and in-product conversion touch points that scale across self-serve users and enterprise accounts for our multi-product platform
• Design and run data-driven experiments focused on conversion, retention, and expansion metrics across different customer segments, driving a fast-paced experimentation culture by rapidly prototyping, A/B testing, and iterating on designs with cross-functional partners based on hypotheses, success criteria, and quantitative and qualitative findings
• Shape product strategy by partnering closely with cross-functional leadership (PM, Engineering, Data Analysts, Product Marketing)
• Translate behavioural data, pricing analytics, and user feedback from both individual users and enterprise buyers into intuitive design solutions that reduce friction, clarify value propositions, and drive confident purchase decisions
• Conduct user research, interviews, and usability tests, synthesising insights to uncover friction in pricing, upgrade, and billing experiences and translating findings into clear design iterations and new experiment ideas
• Balance the needs of different buying journeys, ensuring self-serve experiences prioritise speed and clarity while enterprise touch points accommodate complex approval workflows, and admin/billing requirements
• Collaborate with Content Design to craft compelling value propositions, feature descriptions, pricing copy, and conversion messaging
• Establish and advocate for scalable, best-in-class monetisation design standards, ensuring consistency and accessibility while partnering with design and core product teams to seamlessly blend monetisation requirements into the core user experience and roadmap
• Communicate design vision and rationale at all levels, effectively influencing stakeholders across the organisation
• Integrate AI and emerging technologies into the design process to accelerate validation, discovery, and prototyping of monetisation experiments
• Mentor and support other designers, sharing knowledge on conversion design principles, experimentation methodologies, and monetisation best practices

What you’ll need

• 5+ years of product design experience, ideally in B2B SaaS or growth-focused roles, with a portfolio showcasing your design thinking and measurable impact on conversion and revenue metrics
• Demonstrated experience designing monetisation surfaces with proven impact on conversion rates for both self-serve and enterprise buyers
• Experience designing and running data-driven experiments, interpreting analytics, and iterating based on quantitative and qualitative insights from different customer segments
• Strong understanding of monetisation and pricing concepts for SaaS products, including pricing psychology, value-based pricing, plan packaging, hybrid pricing models, and expansion revenue strategies
• Ability to balance business goals with user needs, delivering high-quality, user-centric designs that build trust while driving measurable business outcomes
• Strong collaboration skills with cross-functional partners, including PMs, Engineers, Data Analysts, Finance, Product Marketing, and Sales teams working across both self-serve and enterprise motions
• Proficiency in Figma and prototyping tools; experience with analytics platforms is a plus
• Ability to articulate and unfold your design decisions with an iterative mentality and embrace feedback with a growth mindset
• Experience using AI tools to accelerate validation, prototyping, or design discovery (ie Replit, Claude Code)

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

DEPT® is a Growth Invention company built to help the world’s most ambitious brands grow faster. Operating at the intersection of technology and marketing, our 4,000+ specialists deliver growth invention services across Brand & Media, Experience, Commerce, CRM, and Technology & Data. We’re 50|50 tech and marketing, partner-led, and first to move. Clients include Google, Lufthansa, Meta, eBay, and OpenAI. We have been certified B Corp and Climate Neutral since 2021.

JOB PURPOSE

Are you a visionary Paid Search leader with a proven track record of driving tangible revenue and market share growth? Do you thrive on the thrill of the pitch and the satisfaction of expanding client portfolios? We're seeking a dynamic Paid Search leader to ignite our presence in EMEA, transforming our Paid Search discipline into a powerhouse of growth, innovation, people happiness, and client success.

You will serve as a thought leader, shaping a forward-thinking vision for Paid Search across EMEA while driving growth in this service area. You will lead the charge in evolving our Search discipline in a rapidly evolving and disrupting ecosystem. You won't just keep up with Google’s AI shifts; you will proactively integrate generative AI across platforms into our daily operations to redefine what 'performance' looks like in an AI-first world.

You will lead a team of currently 50 across EMEA and give support by removing blockers and ensuring they have access to the right tools and knowledge. Your goal is to empower every consultant/lead, giving them the confidence to deliver high-quality projects and tasks.

WHAT YOU’LL DO:

• Take a strategic lead in the overall performance, profitability, and long-term business growth of our Paid Search discipline across EMEA
• Accelerate and drive the transition from traditional Paid Search management to AI-driven accounts.
• Be a key player in new business efforts, actively engaging in pitches, refining our sales narratives, and collaborating closely with our new business department to secure and expand our client base. 
• Establish the right organisational set-up of the Paid Search teams to ensure quality and performance across EMEA; 
• Drive adoption of the right tech and tooling, alongside ensuring we have a data-led approach across all accounts
• Coach and mentor our Paid Search Leads and empower every consultant to deliver high-impact, business-driven Paid Search projects.
• Make sure the Paid Search team has an innovative mindset and is a first mover in adopting new technology and advertising solutions. Recognized in the industry by winning awards;
• Oversee top Paid Search clients and drive innovation, project growth, and excellence in delivery.
• Spend at least 60% of time on projects or sales initiatives
• Enable and boost x-craft collaboration, bringing our Paid Search activities and offerings closer together with adjacent crafts, such as Content, Data, AI, Organic Search and Social.
• Ensure an agile development of our Paid Search proposition, aligning product-market fit and traction with the right target clients.
• Encourages knowledge sharing and best practices between teams within EMEA.

WHAT YOU BRING:

• Have at least 10 years of experience in Paid Search.
• Are highly autonomous and proactive, demonstrating the ability to own complex projects and make significant decisions with minimal oversight.
• You have a deep curiosity for AI and machine learning. You don't just follow trends; you understand how to apply tools.
• Have a significant focus on business development, a successful track record with pitching, and client relationship management. You genuinely love the sales process.
• Have broader digital marketing knowledge (Social, Display, Content Marketing, Data etc.).
• Have experience with, and gain a lot of energy from, guiding other people and leading leaders.
• Are analytical, flexible, and able to work independently.
• Have great communication skills (verbal and written) and the ability to persuade.
• Are ambitious, results-oriented, and know how to plan and organise.
• Are fluent in English.

WE OFFER
Please note that benefits may vary by location. Feel free to reach out to your recruiter for more details.

• • Hybrid working policy
  • Stay happy and healthy with a contribution to your health through the OpenUp platform, and a multisport programme;
  • A reputation for doing good. DEPT® has been a Certified B Corp® since 2021.
  • Awesome clients. Whether big, small, local or global — at DEPT® you’ll get the opportunity to work with all of them. And we celebrate all of our successes together!
  • The opportunity for possibility. We want to enable you to do what you do best and help you develop your skills further with training, development and certifications.
  • Global annual DEPT® Cares Month in which employees come together and donate their skills to support local charities.

WHY DEPT®?

We are a Growth Invention company built to help the world’s most ambitious brands grow faster. Operating at the intersection of technology and marketing, we create what is next by pioneering ideas, acting fast, and moving further because standing still just is not in our DNA.

We are drawn to people who stay curious, move with intent, and never stop inventing. Our culture runs on three values: better together, relentlessly curious, and get sh*t done. It is how we work, how we grow, and how we make things that matter.

At DEPT®, you will find the freedom to explore, the space to collaborate, and the trust to make a real impact for our clients, for each other, and for the world we are helping to build.

DIVERSITY, EQUITY & INCLUSION 

At DEPT®, we take pride in creating an inclusive workplace where everyone has an equal opportunity to thrive. We actively seek to recruit, develop, nurture, and retain talented individuals from diverse backgrounds, with varying skills and perspectives.

Not sure you meet all qualifications? Apply, and let us decide! Research shows that women and members of underrepresented groups tend not to apply for jobs when they think they may not meet every requirement, when in fact they do. We believe in giving everyone a fair chance to shine.

We also encourage you to reach out to us and discuss any reasonable adjustments we can make to support you throughout the recruitment process and your time with us.

Want to know more about our dedication to diversity, equity, and inclusion? Check out our efforts here.

About Shape Games

Shape Games is an award-winning iGaming platform provider, building high-performance, scalable, and engaging digital experiences used by millions of players worldwide.

We are a product-driven company where technology, design, and innovation go hand in hand. Our teams are small, autonomous, and focused on delivering real impact.

The Role

We are looking for a curious, product-focused, and innovative Senior Frontend Developer to join our team and help shape the user experience of our platform.

This is a hands-on senior role in a small, collaborative team where you will combine technical leadership with active development. You’ll build high-quality frontend solutions while helping guide technical decisions, improve development practices, and elevate the team’s engineering standards.

Working closely with Product Owners and designers, you will transform ideas into scalable, user-centered solutions and contribute to the long-term evolution of our frontend architecture.

What You’ll Do

• Build and maintain scalable, high-quality frontend applications using React and modern development tools
• Take ownership of frontend architecture and key technical decisions
• Act as a technical sounding board for the team through code reviews, knowledge sharing, and mentoring
• Collaborate closely with Product Owners and designers to deliver intuitive and impactful user experiences
• Continuously improve performance, maintainability, and developer experience
• Identify opportunities to simplify, optimize, and modernize the frontend stack
• Contribute to a team culture focused on ownership, collaboration, and continuous improvement

AI & Innovation

We actively explore how AI and emerging technologies can enhance both our product and our development process.

In this role, you will be encouraged to:

• Experiment with and integrate AI-powered capabilities where they create real product value
• Use AI-assisted tools to improve development workflows and productivity
• Challenge existing approaches and introduce innovative solutions to engineering and product challenges

We’re looking for someone who not only understands these trends but is curious enough to experiment with them in practice.

Who You Are

You are an experienced frontend engineer who enjoys ownership, collaboration, and solving complex problems. You care about building solutions that are maintainable, scalable, and meaningful for users.

You likely:

• Have strong experience with React and modern frontend development
• Write clean, maintainable, and scalable code
• Are comfortable owning technical decisions and driving solutions forward
• Have experience mentoring colleagues or improving engineering practices within a team
• Think in terms of product impact and user experience, not just implementation
• Are proactive, self-driven, and thrive in small, autonomous teams
• Stay curious and keep up with new technologies and industry trends
• Have hands-on experience with—or strong interest in—AI in real-world development

Our Tech Stack

React • Next.js • TypeScript • React Hook Form • Styled Components • io-ts • Jest

Why Join Shape Games?

• Work with modern technologies in a high-scale, real-world environment
• Be part of a small team with real ownership and impact
• Influence the technical direction and architecture of a growing platform
• Collaborate with a talented, international, and supportive team
• Hybrid work setup with flexibility
• Competitive salary and relocation support

Apply

If you’re excited about this opportunity, we’d love to hear from you.
Please apply with your CV in English and, if you have them, links to your GitHub or other relevant work.

#wearekambi

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 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 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

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