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Location: Hong Kong, Hong Kong SAR Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity What You’ll Be Doing Own product strategy and roadmap for the DEX Trading product, covering Token Market, Swap (Aggregator), Bridge, Limit Order, and emerging trading primitives. Partner closely with the Growth & Operations team to ship initiatives that drive user acquisition, activation, retention, and trading volume, turning growth hypotheses into PRDs, prototypes, and launched features. Identify and prototype new product opportunities in DEX, evaluating emerging protocols, narratives, and paradigms (intent-based trading, MEV protection, new L1/L2s, etc.) with AI-augmented research and competitive scanning to move faster and broader than manual analysis allows. Lead end-to-end execution: drive PRDs, prototypes, and supporting documentation with AI in the loop for higher velocity and quality, then partner with R&D, UI/UX, QA, and Marketing through to launch. Define, instrument, and monitor core product KPIs (Volume, MAU, retention, route quality, etc.); run your own data analysis with AI-assisted SQL , exploratory queries, and insight synthesis to continuously optimize performance. What We Look For In You 3+ years in product management, with 2+ years on consumer-facing crypto or DeFi products. Strong DeFi experience as a power user or contributor may substitute for part of the PM tenure. Deep understanding of the DEX stack: AMMs, order books, aggregation & routing, cross-chain bridges, perpetuals, MEV , and the trade-offs between them. Strong data fluency: comfortable writing your own SQL / Dune queries instead of waiting on an analyst. Power user of modern AI tools (e.g. Claude, ChatGPT, Cursor, AI coding/data agents) : actively integrates them into daily PM workflows for research, writing, prototyping, and data analysis. Able to demonstrate concrete examples of how AI has accelerated your output. Strong individual contributor ownership, able to drive projects end-to-end across cross-functional teams without people-management leverage. Fluent written and verbal communication in English and Chinese. Bachelor's degree or higher. Nice to Have Prior Product Manager at a leading DEX, Aggregator, Perp DEX, or Bridge (Uniswap, Jupiter, 1inch, GMX, dYdX, CoW, Across, etc.), etc. Demonstrable track record as a heavy DeFi user, published research, sizeable on-chain footprint, governance participation, or recognized protocol contributions. Familiarity with intent-based architectures, solver networks, TEE, or other emerging DeFi primitives. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Disclaimer: Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong. #LI-MX1 #LI-ONSITE Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Singapore, Singapore Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity What You’ll Be Doing Own product strategy and roadmap for the DEX Trading product, covering Token Market, Swap (Aggregator), Bridge, Limit Order, and emerging trading primitives. Partner closely with the Growth & Operations team to ship initiatives that drive user acquisition, activation, retention, and trading volume, turning growth hypotheses into PRDs, prototypes, and launched features. Identify and prototype new product opportunities in DEX, evaluating emerging protocols, narratives, and paradigms (intent-based trading, MEV protection, new L1/L2s, etc.) with AI-augmented research and competitive scanning to move faster and broader than manual analysis allows. Lead end-to-end execution: drive PRDs, prototypes, and supporting documentation with AI in the loop for higher velocity and quality, then partner with R&D, UI/UX, QA, and Marketing through to launch. Define, instrument, and monitor core product KPIs (Volume, MAU, retention, route quality, etc.); run your own data analysis with AI-assisted SQL , exploratory queries, and insight synthesis to continuously optimize performance. What We Look For In You 3+ years in product management, with 2+ years on consumer-facing crypto or DeFi products. Strong DeFi experience as a power user or contributor may substitute for part of the PM tenure. Deep understanding of the DEX stack: AMMs, order books, aggregation & routing, cross-chain bridges, perpetuals, MEV , and the trade-offs between them. Strong data fluency: comfortable writing your own SQL / Dune queries instead of waiting on an analyst. Power user of modern AI tools (e.g. Claude, ChatGPT, Cursor, AI coding/data agents) : actively integrates them into daily PM workflows for research, writing, prototyping, and data analysis. Able to demonstrate concrete examples of how AI has accelerated your output. Strong individual contributor ownership, able to drive projects end-to-end across cross-functional teams without people-management leverage. Fluent written and verbal communication in English and Chinese. Bachelor's degree or higher. Nice to Have Prior Product Manager at a leading DEX, Aggregator, Perp DEX, or Bridge (Uniswap, Jupiter, 1inch, GMX, dYdX, CoW, Across, etc.), etc. Demonstrable track record as a heavy DeFi user, published research, sizeable on-chain footprint, governance participation, or recognized protocol contributions. Familiarity with intent-based architectures, solver networks, TEE, or other emerging DeFi primitives. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! #LI-MX1 #LI-ONSITE Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: APAC Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity We are seeking an AI Infrastructure Engineer to design and build the foundational systems that power next-generation AI agents. This role sits at the intersection of research and production engineering, focusing on scalable long-term memory , knowledge graph infrastructure , and robust context management systems . You will transform cutting-edge research concepts (e.g., Context Graphs, GraphRAG, agent memory architectures) into auditable, maintainable, and production-grade infrastructure that enables reliable, stateful AI systems. What You’ll Be Doing Architect and implement long-term memory infrastructure for AI agents , including auditable, versioned, and rollback-capable middleware that supports persistent, stateful reasoning. Design and own end-to-end GraphRAG and knowledge graph pipelines , from ingestion and schema design to graph indexing, retrieval optimization, and integration with LLM-based reasoning systems. Build scalable context management infrastructure , elevating context from prompt-level techniques to structured, maintainable systems such as Context Graphs that enable long-horizon and cross-session reasoning. Translate advanced agent research into production-grade systems , prototyping emerging architectures and establishing best practices for memory, retrieval, and infrastructure reliability. Ensure reliability, observability, and governance of agent infrastructure , including traceable memory operations, evaluation frameworks, and safeguards against drift and degradation. What We Look For In You PhD or Master's in Computer Science, AI, Machine Learning, Robotics or related field with at least 10 years of industry experience . Possess a deep expertise in at least one of the following areas: long-term memory , knowledge graphs , or context management . Nice to Haves Experience in top-tier AI labs or Tech industry leaders Experience in high-frequency trading, fintech, Web3, or crypto platforms is a strong advantage Startups or research-intensive environments preferred; must be comfortable operating with ambiguity and speed Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Toronto; London; New York; Montreal Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! ABOUT COHERE AND NORTH Cohere is revolutionizing enterprise AI with North, an agentic AI platform designed to securely deploy AI agents and automations within organizations' infrastructure. North empowers employees to streamline workflows, automate repetitive tasks, and unlock actionable insights while ensuring data privacy and compliance. North combines cutting-edge generative and search models with customizable integrations to drive productivity and innovation at scale. ROLE OVERVIEW We are seeking an Agent Harness Product Manager to own the execution layer that makes North agents reliable, capable, and production-ready. This is a role that sits at the intersection of three domains: Agent Loop and Execution. Own the core agent runtime: tool orchestration, parallel execution, sub-agent delegation, sandbox code execution, and failure recovery. You will define how North agents plan and act across long, multi-step workflows and ensure the execution environment is robust enough for the most demanding enterprise tasks. You are expected to engage at the implementation level, contributing to architecture decisions alongside engineering rather than simply handing off requirements. Context Engineering. Own how our Agents manage the context window as a deliberately controlled resource. This includes progressive disclosure of tools and skills, context compaction and summarization, offloading of large payloads to a persistent filesystem, and the instrumentation that keeps agents oriented across extended trajectories. Model-Scaffolding Co-evolution. Own the feedback loop between North's harness and the Modeling Team. This PM is the connective tissue that makes that possible: ensuring harness design decisions are validated by Modeling before they are built, that evals are the shared bridge between both teams, and that as the harness evolves the model evolves with it. RESPONSIBILITIES - Define and own the roadmap for North's agent harness, including the agent loop, context engineering layer, tool orchestration, sandbox execution, and sub-agent delegation - Serve as the primary interface between North engineering and Cohere's Modeling team, ensuring new harness capabilities are validated before being built and that neither team paints itself into a corner - Own North's agentic evaluation framework, ensuring evals are compatible with both the North harness and Modeling's training infrastructure, and that they serve as a reliable bridge between product and research - Engage enterprise customers to surface real-world agentic failures and translate findings into concrete product and model requirements - Partner with the agentic expert modeling team to define goals that maximize the impact of our models and prioritize model capabilities and evals most critical for delivering on those goals. Establish a clear roadmap for our agentic modeling capabilities. - Stay current with the open-source and commercial agent ecosystem and drive adoption decisions that keep North's architecture aligned with emerging standards. REQUIREMENTS - 5+ years of product management experience as a research PM, in agentic AI systems,, or applied ML products - Deep understanding of agentic harnesses, including the latest paid and open source offerings. - Deep understanding of modern LLM agent architectures, including multi-agent systems, tool-augmented reasoning, memory and retrieval, programmatic orchestration, RAG, and long-horizon execution - Strong grasp of agentic evaluation design, including how to measure task completion, failure recovery, and long-horizon reliability, and how to diagnose model vs. scaffolding gaps - Technically deep enough to contribute to architecture decisions at the implementation level: comfortable reviewing and shaping design docs, reasoning about async execution patterns, sandboxed environments, filesystem design, and the tradeoffs that come with building harness capabilities into a production platform - Ability to flex between ML research conversations and engineering architecture discussions with equal fluency - Track record of shipping platform-layer products with demonstrated impact on reliability, performance, or capability. NICE-TO-HAVES - Direct experience in developing and shipping leading agentic harnesses. - An active practitioner of agent frameworks who regularly builds with and follows the latest developments in open-source harnesses, coding agents, and orchestration tools in both professional and personal work - Hands-on experience with enterprise agentic deployments: multi-tenant orchestration, tool permissioning, audit trails, and compliance requirements - Familiarity with infrastructure constraints relevant to enterprise deployments: on-premises environments, scalability challenges, and the operational tradeoffs of running complex agent workloads in restricted or air-gapped settings - Prior work at the intersection of research and product, translating nascent model capabilities into shipped product features - Background working within or closely alongside an ML research or post-training team. WHY JOIN COHERE? - Impact: Shape how Canada's most important public institutions adopt and deploy frontier AI. - Innovation: Work alongside leading researchers and engineers solving complex ML challenges. - Growth: Competitive compensation, equity options, and opportunities for professional development. - Flexibility: Hybrid work model with offices in key global locations (Toronto, Montreal, New York, San Francisco, London, Paris, and Korea) FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Paris Workplace: OnSite ABOUT VOODOO Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz. TEAM Our Corporate teams support the company’s performance and growth whilst putting people at the core of everything they do. As a French tech leader and global successful company, our Corporate teams are constantly looking for ways to innovate and increase organization efficiency to keep Voodoo ahead of the market. Voodoo’s Corporate function is composed of three teams: HR, Legal and Finance, working together to drive Voodoo’s success. ROLE - You are responsable of Level 1 and Level 2 IT tasks (such as preparing computers for new joiners, troubleshooting software and hardware issues, etc..) - You help ensure IT Services delivers the best employee experience in relation to employees support, deployments, infrastructure, and day to day IT activities - You maintain core IT systems and operations, including operating systems, security tools, applications - You track and maintain hardware and software inventory - You ensure meeting rooms and VC systems are functioning properly - You update and document the current IT procedures - You contribute to IT projects and improvements PROFILE - You are passionate about IT and technology, with proven experience in a similar role or in a fast-growing environment - You have a modern approach to IT management (Cloud, SaaS, Google Workspace, etc.) - You provide excellent customer service and have strong communication skills in English and French - You are able to identify recurring issues and evaluate opportunities to automate them - Experience with AI tools or technologies is a plus OUR STACK - Google Workspace - Slack - SaaS Management/Asset Tool/Ticketing - MDM : Jamf (Mac & Iphone) & Intunes (PC Windows & Android) - SSO, SAML : Okta - Cisco Meraki (LAN, WIFI, Firewall) - VC Systems : Polycom/Logitech - Hardware: 85% Apple, 15% Windows BENEFITS - Competitive salary based on experience - Swile Lunch voucher - Gymlib (100% covered by Voodoo) - Premium healthcare coverage with SideCare, 100% covered for you and your family - Wellness activities in our Paris office

Location: Rome Workplace: remote Ajax Systems is an international tech company and the largest manufacturer of security systems in Europe, with over 4.5 million end users and 330K PRO users in more than 180 countries worldwide. The company offers end-to-end solutions for protecting homes and businesses оf any scale. To date, Ajax product portfolio includes 280 devices for intrusion protection, video surveillance, fire and life safety, and comfort and automation.  The company employs 5,000 specialists.   We develop local teams because we understand local experts best comprehend market specifics. The company has sales representatives worldwide, including Norway, Sweden, Denmark, Finland, Italy, Spain, Germany, France, the United Kingdom, the USA, Australia, South Africa, and other regions. The Global Business Development team is like-minded people who share the ambitious goals of Ajax Systems.   The best software combined with powerful hardware has forever changed the perception of security systems for users and industry professionals. Being recognized at the biggest specialized exhibitions such as IFSEC, Expoprotection, and Intersec, as well as winning prestigious awards from industry-leading media like PSI magazine and GIT SECURITY, today Ajax is one of the most awarded security systems in Europe.   Ajax Systems production includes 4 factories, 2 of which are located in Ukraine, 1 in Turkey, and 1 in Vietnam. At the same time, the company's certification according to the ISO 14001 standard ensures a minimal impact of production on the environment. The selection of components for Ajax device manufacturing is determined by the presence of manufacturer declarations confirming compliance with RoHS requirements.   The company emerged against the backdrop of revolution and war. That's why resilience is the cornerstone of the brand's DNA, and the fight against evil by creating the best security and automation devices is Ajax unwavering mission. Personality profile: 3+ years of experience in the electronic security industry or a similar industry. Proven sales experience in the Central Italy (Lazio and Abruzzo) region. Strong technical knowledge of electronic security systems, including access control, video surveillance, intrusion detection, or fire alarm systems. Proven track record of being involved in the entire sales process, from identifying new business opportunities, developing proposals and presentations, negotiating, and closing deals. Developing and implementing successful sales strategies. Excellent communication and interpersonal skills to build relationships with customers, partners, and industry experts at an executive level. Strong analytical skills to analyze market trends, identify customer needs, and develop effective solutions. Ability to manage and prioritize multiple projects and tasks simultaneously. Knowledge of the latest technologies and trends in electronic security, such as cloud-based solutions, IoT, and AI-based analytics. A strong combination of technical knowledge, sales expertise, and strong communication skills. Responsibilities: Develop and implement a strategic business development plan in Italy, aligned with company objectives and market trends. Identify, evaluate, and onboard new distributors and partners across the region, ensuring coverage in key markets and verticals. Identify and pursue new business opportunities that align with the company's growth strategy. Develop and maintain relationships with key clients, partners, and stakeholders. Conduct market research to identify new trends, opportunities, and potential risks. Analyze market data to develop and execute effective sales strategies. Collaborate with cross-functional teams to ensure the successful delivery of products and services. Prepare and deliver presentations to potential clients and partners. Negotiate contracts and agreements with clients and partners. Manage and prioritize multiple projects and initiatives simultaneously. We offer: Competitive compensation that includes a base salary and performance-related bonuses. A product that sells itself. Freedom to make decisions and implement ideas. A zero bullshit culture. A strong and well-coordinated team of professionals. Ambitious tasks and challenges. Opportunity to work with the most recognized security system and develop your career. Car allowance and all business expenses and work tools are covered by the company. We are working to ensure that people's lives are calm and the world safe. Let's become a part of the team that creates in Ukraine a smart and useful global product.

Location: Milan Workplace: remote Ajax Systems is an international tech company and the largest manufacturer of security systems in Europe, with over 4.5 million end users and 330K PRO users in more than 180 countries worldwide. The company offers end-to-end solutions for protecting homes and businesses оf any scale. To date, Ajax product portfolio includes 280 devices for intrusion protection, video surveillance, fire and life safety, and comfort and automation. The company employs 5,000 specialists.   The company emerged against the backdrop of revolution and war. That's why resilience is the cornerstone of the brand's DNA, and the fight against evil by creating the best security and automation devices is Ajax unwavering mission. Responsibilities: Ensure optimal stock management by monitoring and evaluating the sellout and stock levels of distributors. Lead and manage a team of Area Sales Managers across the region. Handle order flow, delivery, and follow-up to maintain inventory efficiency. Manage partner rebates and credit notes, ensuring accurate and timely processing. Provide actionable insights based on data analysis to drive sales performance and support decision-making. Organize and follow up on training programs for distributors to enhance their product knowledge and sales skills. Support distributor activities related to training, certifications. Develop and evaluate partners' business plans to align with company objectives and drive growth. Develop new markets, participate in sales negotiations, and close deals to expand the company's market presence. Requirements: Proven experience as a channel manager/distribution manager in the electronic security or a related industry. Strong focus on achieving sales targets in both sell-in and sell-out channels. Proactive approach to identifying and capitalizing on sales opportunities. Good analytical skills to interpret sales data and make informed decisions. Highly organized with the ability to manage multiple tasks and priorities. Ability to establish and maintain strong relationships with distributors. Good verbal and written communication skills with close attention to detail. We offer: A product that sells itself. Ambitious tasks and challenges. A strong and well-coordinated team of professionals. Opportunity to work with the most recognized security system and develop your career. A zero bullshit culture.

Location: Tbilisi; Belgrade; Budapest; Madrid; Riga; Tallinn; Valencia; Vilnius; Yerevan Workplace: remote About us: Planner 5D is a global hub for home design, uniting over 100+ million users in 230 territories around our planet (yes, we have 2 users connecting from Antarctica each month!). Our platform simplifies the home renovation process from concept to execution, and this process has never been more straightforward with our cutting-edge software. You don't need to be a professional designer to enhance your home or workspace. We are dedicated to streamlining the design experience, making the customization of dream homes accessible to everyone. Our cross-platform presence spans Web, iOS, Android, Windows, and MacOS, ensuring seamless synchronization for our users.  Planner 5D is more than just software; it's a vibrant community of enthusiastic and product-oriented professionals. From diverse backgrounds, our team collaborates across time zones, fueled by a shared passion to revolutionize the home design market. We are constantly looking for like-minded talent eager to take ownership and drive innovation within our expanding suite of tools. Join us in shaping the future of home design. We are searching for an AI / Machine Learning Researcher to join our AI team and focus on applied research for real-world product challenges. You will work with raw data, explore new approaches, formulate and test hypotheses, and build prototypes and MVP solutions that can later become production features within the Planner 5D platform. You will: Conduct applied research in AI/ML to solve real-world problems related to home design, 2D/3D data, and visual understanding. Work with raw and unstructured data (images, 3D point clouds, text, video) to identify useful signals and formulate research directions. Generate and test hypotheses through experiments, modeling, and data analysis. Design and implement prototypes and MVP solutions, validating ideas before production implementation. Train, evaluate, and iterate on machine learning and deep learning models. Contribute to the development of AI-driven features, including computer vision systems and AI agents. Collaborate with engineers to translate research prototypes into production-ready solutions. Provide algorithm-level support for deployed models, improving and adapting them as new data or requirements emerge. Requirements 4+ years of experience in AI/ML research or applied machine learning. Strong background in mathematics and computer science, including statistics, optimization, linear algebra, and algorithms. Solid understanding of machine learning and deep learning methods. Experience working with real-world datasets, including data exploration, cleaning, feature extraction, and experimental validation. Proficiency in Python and common scientific/ML libraries (NumPy, SciPy, Pandas, etc.). Experience with deep learning frameworks such as TensorFlow or PyTorch. Familiarity with computer vision or multimodal AI (images, video, 3D data such as point clouds and meshes). Ability to independently formulate research hypotheses, design experiments, and evaluate results. Strong analytical thinking and ability to solve complex problems with limited prior solutions. Nice to have Experience with 3D data processing (point clouds, meshes, spatial data). Experience building or experimenting with AI agents or LLM-based systems. Experience training and fine-tuning neural networks. Interest in geometry, graph theory, or computational geometry. What we offer: - Great work environment that balances freedom and responsibility - Our team is made up of friendly and passionate enthusiasts who are eager to help and share their knowledge - We believe in work-life balance, so you'll receive around 30+ days of paid holidays per year - Company computer equipment by request - Education courses for our team members, and we're willing to allocate funds toward your training expenses - English classes on our corporate platform - Offline company events in Lithuania and online team-building - Unlimited free Planner5D subscriptions

Location: Porto, Portugal Workplace: remote We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLM autoraters. The role is required to use client’s internal tools to leverage prompt engineering techniques to maximize model performance. Responsibilities: Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters. Run and supervise Automated Prompt Optimization (APO) tool, review the outputs, and flag when the APO reaches deadlocks or plateaus. Manually draft, test, and refine prompts to navigate complex template architectures, overcome anti-patterns, and handle edge cases where tooling is lacking or broken. Solve edge-case scenarios by designing and refining manual prompts. Monitor shadowbot runs to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked. Run prompt versions against established gold data to continuously measure autorater quality against the human crowd baseline, calculating accuracy metrics such as F1 scores, precision, and recall. Draft technical launch readiness justifications (Launch Certification Documentation) for final. Requirement: Language Skills : Native fluency in Portuguese and fluent in English. Location: Must be based in Portugal. Education : Bachelor’s, Master’s, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, or a related analytical field. Prompt Engineering & AI Expertise : At least 4 years' experience as Prompt Engineer. Proven experience tuning Large Language Models (LLMs) for strict, structured outputs, complex classification tasks, and familiarity with chain-of-thought and few-shot learning. Data Analysis : Strong proficiency in identifying error patterns, analyzing model performance, and using SQL or other data analytics tools. Technical Agility : Ability to quickly learn and master proprietary tools with minimal supervision. Communication : Excellent verbal and written communication skills. Optional / Preferred Skills: Familiarity with enterprise-grade LLM interfaces like the Goose API. Experience in AI model evaluation, data science, computational linguistics, or software engineering. Hands-on experience with Automated Prompt Optimization (APO) systems or tuning workflows. Linguistic expertise, including an understanding of semantics and logic.

Location: Netherlands Workplace: remote We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLM autoraters. The role is required to use client’s internal tools to leverage prompt engineering techniques to maximize model performance. Responsibilities: Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters. Run and supervise Automated Prompt Optimization (APO) tool, review the outputs, and flag when the APO reaches deadlocks or plateaus. Manually draft, test, and refine prompts to navigate complex template architectures, overcome anti-patterns, and handle edge cases where tooling is lacking or broken. Solve edge-case scenarios by designing and refining manual prompts. Monitor shadowbot runs to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked. Run prompt versions against established gold data to continuously measure autorater quality against the human crowd baseline, calculating accuracy metrics such as F1 scores, precision, and recall. Draft technical launch readiness justifications (Launch Certification Documentation) for final. Requirement: Language Skills : Native fluency in Dutch and fluent in English. Location: Must be based in Netherlands. Education : Bachelor’s, Master’s, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, or a related analytical field. Prompt Engineering & AI Expertise : At least 4 years' experience as Prompt Engineer. Proven experience tuning Large Language Models (LLMs) for strict, structured outputs, complex classification tasks, and familiarity with chain-of-thought and few-shot learning. Data Analysis : Strong proficiency in identifying error patterns, analyzing model performance, and using SQL or other data analytics tools. Technical Agility : Ability to quickly learn and master proprietary tools with minimal supervision. Communication : Excellent verbal and written communication skills. Optional / Preferred Skills: Familiarity with enterprise-grade LLM interfaces like the Goose API. Experience in AI model evaluation, data science, computational linguistics, or software engineering. Hands-on experience with Automated Prompt Optimization (APO) systems or tuning workflows. Linguistic expertise, including an understanding of semantics and logic.

Location: Japan Workplace: remote We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLM autoraters. The role is required to use client’s internal tools to leverage prompt engineering techniques to maximize model performance. Responsibilities: Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters. Run and supervise Automated Prompt Optimization (APO) tool, review the outputs, and flag when the APO reaches deadlocks or plateaus. Manually draft, test, and refine prompts to navigate complex template architectures, overcome anti-patterns, and handle edge cases where tooling is lacking or broken. Solve edge-case scenarios by designing and refining manual prompts. Monitor shadowbot runs to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked. Run prompt versions against established gold data to continuously measure autorater quality against the human crowd baseline, calculating accuracy metrics such as F1 scores, precision, and recall. Draft technical launch readiness justifications (Launch Certification Documentation) for final. Requirement: Language Skills : Native fluency in Japanese and fluent in English. Location: Must be based in Japan. Education : Bachelor’s, Master’s, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, or a related analytical field. Prompt Engineering & AI Expertise : At least 4 years' experience as Prompt Engineer. Proven experience tuning Large Language Models (LLMs) for strict, structured outputs, complex classification tasks, and familiarity with chain-of-thought and few-shot learning. Data Analysis : Strong proficiency in identifying error patterns, analyzing model performance, and using SQL or other data analytics tools. Technical Agility : Ability to quickly learn and master proprietary tools with minimal supervision. Communication : Excellent verbal and written communication skills. Optional / Preferred Skills: Familiarity with enterprise-grade LLM interfaces like the Goose API. Experience in AI model evaluation, data science, computational linguistics, or software engineering. Hands-on experience with Automated Prompt Optimization (APO) systems or tuning workflows. Linguistic expertise, including an understanding of semantics and logic.

Location: Italy Workplace: remote We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLM autoraters. The role is required to use client’s internal tools to leverage prompt engineering techniques to maximize model performance. Responsibilities: Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters. Run and supervise Automated Prompt Optimization (APO) tool, review the outputs, and flag when the APO reaches deadlocks or plateaus. Manually draft, test, and refine prompts to navigate complex template architectures, overcome anti-patterns, and handle edge cases where tooling is lacking or broken. Solve edge-case scenarios by designing and refining manual prompts. Monitor shadowbot runs to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked. Run prompt versions against established gold data to continuously measure autorater quality against the human crowd baseline, calculating accuracy metrics such as F1 scores, precision, and recall. Draft technical launch readiness justifications (Launch Certification Documentation) for final. Requirement: Language Skills : Native fluency in Italian and fluent in English. Location: Must be based in Italy. Education : Bachelor’s, Master’s, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, or a related analytical field. Prompt Engineering & AI Expertise : At least 4 years' experience as Prompt Engineer. Proven experience tuning Large Language Models (LLMs) for strict, structured outputs, complex classification tasks, and familiarity with chain-of-thought and few-shot learning. Data Analysis : Strong proficiency in identifying error patterns, analyzing model performance, and using SQL or other data analytics tools. Technical Agility : Ability to quickly learn and master proprietary tools with minimal supervision. Communication : Excellent verbal and written communication skills. Optional / Preferred Skills: Familiarity with enterprise-grade LLM interfaces like the Goose API. Experience in AI model evaluation, data science, computational linguistics, or software engineering. Hands-on experience with Automated Prompt Optimization (APO) systems or tuning workflows. Linguistic expertise, including an understanding of semantics and logic.

Location: Spain Workplace: remote We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLM autoraters. The role is required to use client’s internal tools to leverage prompt engineering techniques to maximize model performance. Responsibilities: Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters. Run and supervise Automated Prompt Optimization (APO) tool, review the outputs, and flag when the APO reaches deadlocks or plateaus. Manually draft, test, and refine prompts to navigate complex template architectures, overcome anti-patterns, and handle edge cases where tooling is lacking or broken. Solve edge-case scenarios by designing and refining manual prompts. Monitor shadowbot runs to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked. Run prompt versions against established gold data to continuously measure autorater quality against the human crowd baseline, calculating accuracy metrics such as F1 scores, precision, and recall. Draft technical launch readiness justifications (Launch Certification Documentation) for final. Requirement: Language Skills : Native fluency in Spanish and fluent in English. Location: Must be based in Spain. Education : Bachelor’s, Master’s, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, or a related analytical field. Prompt Engineering & AI Expertise : At least 4 years' experience as Prompt Engineer. Proven experience tuning Large Language Models (LLMs) for strict, structured outputs, complex classification tasks, and familiarity with chain-of-thought and few-shot learning. Data Analysis : Strong proficiency in identifying error patterns, analyzing model performance, and using SQL or other data analytics tools. Technical Agility : Ability to quickly learn and master proprietary tools with minimal supervision. Communication : Excellent verbal and written communication skills. Optional / Preferred Skills: Familiarity with enterprise-grade LLM interfaces like the Goose API. Experience in AI model evaluation, data science, computational linguistics, or software engineering. Hands-on experience with Automated Prompt Optimization (APO) systems or tuning workflows. Linguistic expertise, including an understanding of semantics and logic.

Location: France Workplace: remote We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLM autoraters. The role is required to use client’s internal tools to leverage prompt engineering techniques to maximize model performance. Responsibilities: Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters. Run and supervise Automated Prompt Optimization (APO) tool, review the outputs, and flag when the APO reaches deadlocks or plateaus. Manually draft, test, and refine prompts to navigate complex template architectures, overcome anti-patterns, and handle edge cases where tooling is lacking or broken. Solve edge-case scenarios by designing and refining manual prompts. Monitor shadowbot runs to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked. Run prompt versions against established gold data to continuously measure autorater quality against the human crowd baseline, calculating accuracy metrics such as F1 scores, precision, and recall. Draft technical launch readiness justifications (Launch Certification Documentation) for final. Requirement: Language Skills : Native fluency in French and fluent in English. Location: Must be based in France. Education : Bachelor’s, Master’s, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, or a related analytical field. Prompt Engineering & AI Expertise : At least 4 years' experience as Prompt Engineer. Proven experience tuning Large Language Models (LLMs) for strict, structured outputs, complex classification tasks, and familiarity with chain-of-thought and few-shot learning. Data Analysis : Strong proficiency in identifying error patterns, analyzing model performance, and using SQL or other data analytics tools. Technical Agility : Ability to quickly learn and master proprietary tools with minimal supervision. Communication : Excellent verbal and written communication skills. Optional / Preferred Skills: Familiarity with enterprise-grade LLM interfaces like the Goose API. Experience in AI model evaluation, data science, computational linguistics, or software engineering. Hands-on experience with Automated Prompt Optimization (APO) systems or tuning workflows. Linguistic expertise, including an understanding of semantics and logic.

Location: Germany Workplace: remote We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLM autoraters. The role is required to use client’s internal tools to leverage prompt engineering techniques to maximize model performance. Responsibilities: Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters. Run and supervise Automated Prompt Optimization (APO) tool, review the outputs, and flag when the APO reaches deadlocks or plateaus. Manually draft, test, and refine prompts to navigate complex template architectures, overcome anti-patterns, and handle edge cases where tooling is lacking or broken. Solve edge-case scenarios by designing and refining manual prompts. Monitor shadowbot runs to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked. Run prompt versions against established gold data to continuously measure autorater quality against the human crowd baseline, calculating accuracy metrics such as F1 scores, precision, and recall. Draft technical launch readiness justifications (Launch Certification Documentation) for final. Requirement: Language Skills : Native fluency in German and fluent in English. Location: Must be based in Germany. Education : Bachelor’s, Master’s, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, or a related analytical field. Prompt Engineering & AI Expertise : At least 4 years' experience as Prompt Engineer. Proven experience tuning Large Language Models (LLMs) for strict, structured outputs, complex classification tasks, and familiarity with chain-of-thought and few-shot learning. Data Analysis : Strong proficiency in identifying error patterns, analyzing model performance, and using SQL or other data analytics tools. Technical Agility : Ability to quickly learn and master proprietary tools with minimal supervision. Communication : Excellent verbal and written communication skills. Optional / Preferred Skills: Familiarity with enterprise-grade LLM interfaces like the Goose API. Experience in AI model evaluation, data science, computational linguistics, or software engineering. Hands-on experience with Automated Prompt Optimization (APO) systems or tuning workflows. Linguistic expertise, including an understanding of semantics and logic.

Location: Philippines Workplace: remote Contract Type: Freelance Language: English (Philippines)   About the Role  We are seeking a detail-oriented AI Data Quality & Annotation Specialist to help develop and evaluate large language models (LLMs). Your role will involve reviewing English language content to assess sentiment accuracy, factual consistency, and reasoning quality using structured guidelines. This position is ideal for individuals with sharp analytical skills, attention to detail, and the ability to consistently apply labeling standards.    What You Will Do:  - Review and label content for sentiment, factual accuracy, and reasoning issues.  - Evaluate model outputs across quality dimensions using scoring frameworks.  - Validate automated assessments and identify discrepancies or errors. Requirements: Advanced English proficiency (reading and writing) with professional-level fluency. Strong comprehension and articulation skills, with the ability to provide clear and well-reasoned written justifications. Previous experience in data annotation, AI training, or related projects. Preferred experience in analytical fields such as linguistics, journalism, research, or similar domains. Exceptional attention to detail and accuracy. Proven analytical reasoning and critical thinking abilities. Consistency in decision-making across high volumes of tasks. Familiarity with AI systems, large language models (LLMs), or evaluation processes (preferred but not required).

Location: United States Workplace: remote Contract Type: Freelance Hourly Rate: $29 Language: English (US)   About the Role: We are seeking qualified raters to support a project evaluating personalized visual design and geospatial recommendations. This role involves assessing aesthetic quality, usability, and geospatial accuracy of digital map designs and location suggestions based on defined project guidelines.   If you’re someone who: ✅ Has an eye for artistic detail and intuitive design 🧠 Thinks critically about spatial accuracy, relevance, and context 🖥️ Cares about delivering polished and helpful digital experiences   This project is built for you.   What You Will Do: - Evaluate the aesthetic quality, readability, and overall polish of digital map designs. - Assess user-focused elements like viewport framing, geospatial accuracy, and content relevance. - Review personalized location recommendations to ensure relevance and helpfulness. - Follow strict project instructions and complete tasks accurately, including tagging specific issues (e.g., “Icons not properly masked,” “Labels too small”).   Additional Information: - This project requires efficiency and attention to detail, with tasks completed in a quick turnaround (48 hours to 5 business days). - Eligible candidates will participate in a single project round but may be invited for future opportunities based on performance. Requirements: Proficient in English (US) and based in the United States. Professional Design Background: Proven experience in Visual Design, UI/UX, or Graphic Design. Must be iPhone/iOS user, as the current focus is on the mobile experience. An existing, actively used Gmail account with prior usage history on Google Maps. Familiarity with geospatial tools or evaluation interfaces (e.g., Tileworks or side-by-side interfaces) is a plus. Exceptional ability to follow strict instructions and identify Trust & Safety violations. Opt-in consent to allow access to limited activity history for task personalization. A desktop or laptop computer is required to complete the application and onboarding process. Mobile devices are not supported.

Location: Warsaw; Amsterdam; Barcelona Workplace: hybrid About us: Planner 5D is a global hub for home design, uniting over 100+ million users in 230 territories around our planet (yes, we have 2 users connecting from Antarctica each month!). Our platform simplifies the home renovation process from concept to execution, and this process has never been more straightforward with our cutting-edge software. You don't need to be a professional designer to enhance your home or workspace. We are dedicated to streamlining the design experience, making the customization of dream homes accessible to everyone. Our cross-platform presence spans Web, iOS, Android, Windows, and MacOS, ensuring seamless synchronization for our users.  Planner 5D is more than just software; it's a vibrant community of enthusiastic and product-oriented professionals. From diverse backgrounds, our team collaborates across time zones, fueled by a shared passion to revolutionize the home design market. We are constantly looking for like-minded talent eager to take ownership and drive innovation within our expanding suite of tools. Join us in shaping the future of home design. We are searching for an AI / Machine Learning Researcher to join our AI team and focus on applied research for real-world product challenges. You will work with raw data, explore new approaches, formulate and test hypotheses, and build prototypes and MVP solutions that can later become production features within the Planner 5D platform. You will: Conduct applied research in AI/ML to solve real-world problems related to home design, 2D/3D data, and visual understanding. Work with raw and unstructured data (images, 3D point clouds, text, video) to identify useful signals and formulate research directions. Generate and test hypotheses through experiments, modeling, and data analysis. Design and implement prototypes and MVP solutions, validating ideas before production implementation. Train, evaluate, and iterate on machine learning and deep learning models. Contribute to the development of AI-driven features, including computer vision systems and AI agents. Collaborate with engineers to translate research prototypes into production-ready solutions. Provide algorithm-level support for deployed models, improving and adapting them as new data or requirements emerge. Requirements 4+ years of experience in AI/ML research or applied machine learning. Strong background in mathematics and computer science, including statistics, optimization, linear algebra, and algorithms. Solid understanding of machine learning and deep learning methods. Experience working with real-world datasets, including data exploration, cleaning, feature extraction, and experimental validation. Proficiency in Python and common scientific/ML libraries (NumPy, SciPy, Pandas, etc.). Experience with deep learning frameworks such as TensorFlow or PyTorch. Familiarity with computer vision or multimodal AI (images, video, 3D data such as point clouds and meshes). Ability to independently formulate research hypotheses, design experiments, and evaluate results. Strong analytical thinking and ability to solve complex problems with limited prior solutions. Nice to have Experience with 3D data processing (point clouds, meshes, spatial data). Experience building or experimenting with AI agents or LLM-based systems. Experience training and fine-tuning neural networks. Interest in geometry, graph theory, or computational geometry. What we offer: - Great work environment that balances freedom and responsibility - Our team is made up of friendly and passionate enthusiasts who are eager to help and share their knowledge - We believe in work-life balance, so you'll receive around 30+ days of paid holidays per year - Company computer equipment by request - Education courses for our team members, and we're willing to allocate funds toward your training expenses - English classes on our corporate platform - Offline company events in Lithuania and online team-building - Unlimited free Planner5D subscriptions