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Location: Tbilisi, Georgia Workplace: remote At Infomediji, we are building the next generation of Spatial Media: a new way people experience video through interaction, multi-user presence, haptics, AI, and immersive storytelling. DeoVR is a leading immersive streaming platform serving millions of users globally. Content creators and partners are central to this ecosystem, and we are looking for a Product Manager to make their experience simpler, clearer, and more scalable. If you enjoy turning complex operational and technical workflows into products people genuinely enjoy using, this role is for you. The Role We are looking for a Product Engineer - Content Team to own the product experience for our content partners across our streaming platform. This is a product and engineering-facing role. You will work closely with Content Partnerships, Marketing, Design, and Backend Engineering to identify friction, define the right solutions, and deliver high-impact improvements. What You Will Do Own and improve the end-to-end product experience for content partners, creators, and studios Map and optimise key partner workflows, including partner applications, onboarding, content submission, publishing, status tracking, and related processes Turn partner feedback, operational pain points, and business needs into clear product problems and prioritised solutions Independently implement selected solutions, such as internal tools, workflow automations, integrations, prototypes, or partner-facing improvements Work closely with Backend Engineering to define scalable systems, workflows, integrations, and self-service tools Partner with Content and Marketing to improve partner acquisition, activation, engagement, and retention Define product requirements, success metrics, user stories, and delivery priorities Lead product discovery and validate opportunities through qualitative feedback, data, and market research Own the roadmap for content-partner-facing initiatives from discovery through delivery and iteration What We Are Looking For Hands-on software engineering experience delivering and maintaining production applications or features Experience working with backend services, APIs, databases, and third-party integrations Product judgement: you can clarify an ambiguous request, identify the underlying problem, and decide what is worth building Ability to take a solution from an initial idea through technical design, implementation, testing, and release Experience turning complex operational processes into usable tools and workflows Confidence working directly with users and business stakeholders to gather context, challenge assumptions, and explain technical trade-offs Ability to investigate problems independently and collaborate effectively with Backend Engineering High ownership, structured thinking, and comfort working with evolving requirements Practical judgement around AI: you can identify where it adds value and evaluate the quality of its output Fluency in English and Russian Bonus Points Experience with video, streaming, creator, affiliate, marketplace, or platform products Hiring Process HR screening (30 min) Team Interview (1 hour) Case Task (2-4 hours) CEO Interview (45 min) 💼 Explore our hiring process What We Offer Please note: fully remote contract role. B2B only - work as an independent contractor with your own legal entity. The chance to be part of a pioneering team in a rapidly evolving industry Direct impact on the future of immersive media Flexible working hours and remote-first culture A team that values initiative, clarity, and collaboration Access to all tools and tech you need Unlimited DeoVR Premium A work environment where ideas matter and people are treated with respect Stay Connected Join our Facebook community and follow updates as we advance interactive VR experiences through cutting-edge technology. Join us and step into a role where legal expertise meets innovation.

Responsibilities: — Identify and secure exceptional recruiting talent, managing the process from spotting candidates to closing hires. — Establish high standards for recruitment and develop rigorous assessment methods to evaluate recruiters' judgement, craft, commercial impact, and ability to perform in demanding environments. — Build and maintain a network of outstanding recruiters across various specialisms and seniority levels, fostering relationships well before hiring needs arise. — Develop hiring operations including processes, talent intelligence, and reporting to improve decision-making. — Analyze patterns related to top performers, retention issues, and areas for improvement. — Organize community-building events and create content to share insights and attract the right talent. — Adapt recruitment strategies to leverage AI advancements and maintain a competitive edge. — Conduct selected talent searches for clients leveraging the company's market reach and network. Requirements: — Proven experience in hiring, managing, or placing exceptional recruiters, with the ability to articulate success factors. — Hands-on recruiting experience, from sourcing to closing challenging hires. — Strong interpersonal skills to build rapport and engage candidates effectively. — Curiosity and active experimentation with AI to enhance recruitment processes. — Enthusiasm for community engagement through conversations, events, and content creation. — Ambition, high standards, and initiative to transform ideas into tangible outcomes. The position is hybrid based in London, UK.

Location: Colorado Huddle Up is a provider-founded and provider-led company that delivers high-quality, consistent care to school districts nationwide through team-based virtual and onsite IEP therapy and support. We have delivered over 1 million therapy sessions across speech, occupational, mental health, and school psychology, with 94% of our clients reporting high levels of student engagement under our providers' care. We believe in the importance of supporting the whole child, and supporting the whole provider, with connection and collaboration. We have a variety of tools and resources available to you that allows providers to communicate with fellow Huddle Up professionals and clinical managers. All of our clinical managers have vast experience in delivering school based teletherapy services, and they are available when needed. At Huddle Up, you’re part of a team that ensures students receive the best care possible. We are currently accepting applications for virtual Speech Language Pathologists (SLP) licensed in Colorado, for the 26/27 school year! What We Offer: Compensation for direct and indirect time Up to a $250 monthly incentive (up to $3,000 per year) Access to Company Sponsored Health insurance, Dental Insurance, Short-Term Disability Insurance, Long-Term Disability Insurance, and Life Insurance Access to wellness programs including- Peloton, EAP Support, Headspace, and Carrot Fertility Access to participate in our 401k after 6 months of employment Accrued sick time- one hour for every 30 hours, Caps at 48 hours Reimbursement for cross licensing Access to our proprietary platform Access to online assessments and tools Access to clinical and technical staff to ensure you are fully supported We match your schedule with the right opportunity What You’ll Do: Grow and invest in your skills, capabilities, and career, by delivering Speech Language Pathology services to school-based children across the nation, leveraging technology that includes proprietary tools to support and enable clinical care, in an environment that is flexible to your needs. Huddle up with school instructors and experienced clinical mentors to deliver outstanding Speech Language Pathology services to children in need Develop your skills, career, and expertise within a supportive team-based environment Provide telehealth services to a diverse population of school aged children Work on a flexible schedule designed to meet your needs Minimum Requirements: Able to commit to at least 15 hours per week and up to 40 hours per week Hold an active, unrestricted, and valid SLP license in your state of residence, and in Colorado in good standing Holds and active Department of Education certificate for Colorado Hold CCCs: Current ASHA Certificate of Clinical Competency Full-time resident of the United States School experience Experience and comfortability with the use of various types of technology Follow Huddle Up documentation guidelines for evaluation reports and daily SOAP notes Participate in IEP and team meetings, serve as a case manager or process coordinator Prepare progress reports as requested by the school and complete medicaid billing if necessary Compensation: This is a W2 employment opportunity. The exact compensation band is based on where the provider resides. Compensation for providers living in CA, HI, and NY is $44-$54 an hour; AK, CO, CT, DC, DE, IL, IN, MA, MD, NJ, NM, OH, PA, RI, TX, VA, and WA is $44-$54 an hour; AR, AZ, FL, GA, IA, KS, KY, MI, MN, MT, NC, NH, NV, OK, OR, SC, UT, WI, and WY is $44-$49 an hour; AL, ID, LA, ME, MO, MS, ND, NE, SD, TN, VT, and WV is $44-$47 an hour. This position also includes the opportunity to earn up to a $250 (up to $3,000 per year) monthly incentive for providers who work 60 hours or more in a pay period (approximately every 2 weeks) and meet other eligibility criteria. Exact hourly rate will ultimately depend on multiple factors, which may include the successful candidate’s skills, geographical location, and other qualifications. Applications are typically reviewed within 48 business hours after application submission; information about our interview process and application status updates will be sent to you via email, please be sure to check your spam and junk folders to ensure emails do not get lost. Huddle Up provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Huddle Up is also committed to providing reasonable accommodations for qualified individuals with disabilities, including disabled veterans. Please contact Huddle Up’s Recruiting team if you need a reasonable accommodation or any assistance completing any forms or to otherwise participate in the application process.

Location: Vaughan, Canada Workplace: remote Are you looking for a company where YOUR VOICE is heard? Where you can MAKE A DIFFERENCE? Do you THRIVE in a FAST-PACED work environment? Do you wake every morning EXCITED to work with GREAT PEOPLE and create SUCCESS TOGETHER? Then Intermedia is the place for you. Intermedia has established itself as a leading provider of cloud communications and collaboration tech that allows companies to connect better. We have a strong track record of growth, profitability, and creating an environment where everyone matters. Everyone. While we are fast-paced and admittedly a bit intense, we promise that you won’t be bored. You will find Intermedia is a place where you can indulge your passion for creating and supporting great cloud technology. What’s more, we always look to promote from within and have many employees who have been with us 10, 15, and 20+ years! Culture at Intermedia is built on teamwork and transparency. We hold each other accountable and always have each other’s back! Are you ready to make your mark? About the Role: The Implementation Engineer (Integrations) designs, builds, and supports IVR and API integrations for enterprise contact center environments. This role works directly with customers to gather requirements, design call flows, and connect internal systems with third-party services such as CRM platforms, billing systems, and payment services. The position combines hands-on integration development, solution consulting, and troubleshooting to deliver reliable, scalable solutions and successful customer deployments. What You Will Be Doing: Analyze customer contact center configurations, data extracts, and call flows to plan for the API integration Gather and document customer requirements for API integrations, evaluate system readiness, and define scope, deliverables, and API integration timelines. Build integrations between Intermedia contact center platform and third-party services using APIs, including CRM, billing, and payment platforms. Read API documentation and design authentication, requests, data mappings, retries, and error handling; validate authentication and connectivity using tools such as Postman. Create and maintain backend services, webhooks, middleware, and automation workflows that support customer implementations and ongoing data exchange. Transform and synchronize data across systems, including mapping and validating customer records between CRM platforms, billing systems, and internal databases. Design and implement API-driven IVR call flows, including data collection, menu design, conditional routing, and payment integrations; guide customers in creating efficient, user-friendly experiences. Work with product, backend engineering, security, support, and vendor teams to clarify requirements, resolve technical constraints, and implement integrations with cloud services such as Azure or AWS. Write and maintain automated tests, integration documentation, and operational runbooks covering configuration, deployment, monitoring, and recovery. Troubleshoot integration failures, latency, and data quality; lead troubleshooting of production incidents and complex issues across APIs, IVR platforms, CRM systems; Apply security practices including OAuth 2.0, secrets management, and encryption. Lead technical design discussions and provide professional services and consulting for large and strategic customer accounts throughout implementation. Provide post implementation escalation support to ensure stability and successful adoption. What You Will Bring to the Role: Bachelor’s degree in Computer Science, Information Technology, Telecommunications, or a related field with 5+ years of experience in contact center technology, systems integration, or technical implementation. Equivalent combinations of education and experience may be considered. Hands-on experience with enterprise contact center technologies, including IVR call flows, routing rules, callbacks, external data tables, working hours configurations, and reporting or monitoring tools. Strong understanding of REST APIs, JSON, webhooks, and OAuth 2.0, with practical experience using API documentation and tools such as Postman to build, validate, and troubleshoot integrations. Familiarity with GraphQL APIs and API debugging using Swagger or developer portals. Hands-on scripting or development experience in a backend language such as Python, JavaScript, Java, or C#, including working with variables, data types, string manipulation, and error handling. Working knowledge of SQL, data mapping, and data transformation to support reliable synchronization and validation across systems. Experience integrating CRM platforms such as Salesforce or Zendesk with external systems and evaluating their API capabilities and technical constraints. Experience with cloud services, logging, and monitoring, with strong troubleshooting skills across distributed systems, APIs, and IVR environments. Understanding of API rate limits, retries, versioning, permissions, secrets management, and encryption, and the ability to apply these practices to customer integrations. Ability to analyze customer environments and translate requirements into scalable solutions that improve contact center efficiency and customer experience. Proven ability to manage deliverables, timelines, tests, and technical documentation, and to use ticketing or CRM systems to track implementation tasks, communications, and configuration updates. Excellent written, verbal, and customer-facing communication skills, including the ability to explain technical concepts clearly and lead design discussions. Ability to work independently and collaborate with Sales, Product, Development, Security, Support, and external vendors while continuously developing technical expertise. Ability to work effectively in a remote environment, including maintaining a reliable home office setup with internet connectivity, a workstation, and required software. Diversity Inclusion and Equal Opportunity We hire, promote, and compensate employees based on their ability to perform their job responsibilities, without regard to race, color, creed, religion, sex, gender, marital status, national origin, ancestry, age, citizenship, physical or mental disability, sexual orientation, or any other basis protected by applicable law (collectively referred to in our Code of Conduct as “Protected Classes”). We do not tolerate employment discrimination in the workplace, and we are committed to making reasonable accommodations for identified disabilities or other limitations as required by all applicable laws. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Location: United States Workplace: remote Are you looking for a company where YOUR VOICE is heard? Where you can MAKE A DIFFERENCE? Do you THRIVE in a FAST-PACED work environment? Do you wake every morning EXCITED to work with GREAT PEOPLE and create SUCCESS TOGETHER? Then Intermedia is the place for you. Intermedia has established itself as a leading provider of cloud communications and collaboration tech that allows companies to connect better. We have a strong track record of growth, profitability, and creating an environment where everyone matters. Everyone. While we are fast-paced and admittedly a bit intense, we promise that you won’t be bored. You will find Intermedia is a place where you can indulge your passion for creating and supporting great cloud technology. What’s more, we always look to promote from within and have many employees who have been with us 10, 15, and 20+ years! Culture at Intermedia is built on teamwork and transparency. We hold each other accountable and always have each other’s back! Are you ready to make your mark? About the Role: The Implementation Engineer (Integrations) designs, builds, and supports IVR and API integrations for enterprise contact center environments. This role works directly with customers to gather requirements, design call flows, and connect internal systems with third-party services such as CRM platforms, billing systems, and payment services. The position combines hands-on integration development, solution consulting, and troubleshooting to deliver reliable, scalable solutions and successful customer deployments. What You Will Be Doing: Analyze customer contact center configurations, data extracts, and call flows to plan for the API integration Gather and document customer requirements for API integrations, evaluate system readiness, and define scope, deliverables, and API integration timelines. Build integrations between Intermedia contact center platform and third-party services using APIs, including CRM, billing, and payment platforms. Read API documentation and design authentication, requests, data mappings, retries, and error handling; validate authentication and connectivity using tools such as Postman. Create and maintain backend services, webhooks, middleware, and automation workflows that support customer implementations and ongoing data exchange. Transform and synchronize data across systems, including mapping and validating customer records between CRM platforms, billing systems, and internal databases. Design and implement API-driven IVR call flows, including data collection, menu design, conditional routing, and payment integrations; guide customers in creating efficient, user-friendly experiences. Work with product, backend engineering, security, support, and vendor teams to clarify requirements, resolve technical constraints, and implement integrations with cloud services such as Azure or AWS. Write and maintain automated tests, integration documentation, and operational runbooks covering configuration, deployment, monitoring, and recovery. Troubleshoot integration failures, latency, and data quality; lead troubleshooting of production incidents and complex issues across APIs, IVR platforms, CRM systems; Apply security practices including OAuth 2.0, secrets management, and encryption. Lead technical design discussions and provide professional services and consulting for large and strategic customer accounts throughout implementation. Provide post implementation escalation support to ensure stability and successful adoption. What You Will Bring to the Role: Bachelor’s degree in Computer Science, Information Technology, Telecommunications, or a related field with 5+ years of experience in contact center technology, systems integration, or technical implementation. Equivalent combinations of education and experience may be considered. Hands-on experience with enterprise contact center technologies, including IVR call flows, routing rules, callbacks, external data tables, working hours configurations, and reporting or monitoring tools. Strong understanding of REST APIs, JSON, webhooks, and OAuth 2.0, with practical experience using API documentation and tools such as Postman to build, validate, and troubleshoot integrations. Familiarity with GraphQL APIs and API debugging using Swagger or developer portals. Hands-on scripting or development experience in a backend language such as Python, JavaScript, Java, or C#, including working with variables, data types, string manipulation, and error handling. Working knowledge of SQL, data mapping, and data transformation to support reliable synchronization and validation across systems. Experience integrating CRM platforms such as Salesforce or Zendesk with external systems and evaluating their API capabilities and technical constraints. Experience with cloud services, logging, and monitoring, with strong troubleshooting skills across distributed systems, APIs, and IVR environments. Understanding of API rate limits, retries, versioning, permissions, secrets management, and encryption, and the ability to apply these practices to customer integrations. Ability to analyze customer environments and translate requirements into scalable solutions that improve contact center efficiency and customer experience. Proven ability to manage deliverables, timelines, tests, and technical documentation, and to use ticketing or CRM systems to track implementation tasks, communications, and configuration updates. Excellent written, verbal, and customer-facing communication skills, including the ability to explain technical concepts clearly and lead design discussions. Ability to work independently and collaborate with Sales, Product, Development, Security, Support, and external vendors while continuously developing technical expertise. Ability to work effectively in a remote environment, including maintaining a reliable home office setup with internet connectivity, a workstation, and required software. Diversity Inclusion and Equal Opportunity We hire, promote, and compensate employees based on their ability to perform their job responsibilities, without regard to race, color, creed, religion, sex, gender, marital status, national origin, ancestry, age, citizenship, physical or mental disability, sexual orientation, or any other basis protected by applicable law (collectively referred to in our Code of Conduct as “Protected Classes”). We do not tolerate employment discrimination in the workplace, and we are committed to making reasonable accommodations for identified disabilities or other limitations as required by all applicable laws. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Location: Portugal Workplace: remote About the Role We are looking for a Proudct Designer– Integrations  Flow Studio to help define the next generation of intelligent experiences across Intermedia's products. In this role, you will design experiences that make artificial intelligence useful, intuitive, trustworthy, and approachable for business users. You will work at the intersection of UX strategy, interaction design, generative AI, conversational experiences, and enterprise software , turning sophisticated AI capabilities into simple experiences that solve real customer problems. You will partner closely with Product Managers, Product Owners, AI/ML teams, Engineering, Research, and other designers throughout the complete product lifecycle—from customer and market research through concepts, prototyping, development, launch, and post-launch analysis. This is not simply a role for adding AI features to existing interfaces. You will help define how users interact with AI across our products , including copilots, assistants, conversational interfaces, recommendations, summarization, intelligent automation, and agentic experiences. Key Responsibilities Responsibilities AI Experience Design Design intuitive user experiences for AI-powered capabilities across web, desktop, mobile, and administrative interfaces. Explore new interaction models for generative AI, including conversational interfaces, copilots, AI assistants, intelligent recommendations, content generation, summarization, and AI-driven workflow automation. Design experiences for emerging agentic AI capabilities where AI systems can reason, recommend actions, execute tasks, and coordinate multi-step workflows on behalf of users. Translate complex AI functionality into simple, understandable interactions appropriate for everyday business users. Determine when AI should proactively assist users versus when users should explicitly initiate or control AI functionality. Design effective patterns for prompts, suggestions, generated content, AI actions, confirmations, feedback, and human intervention. Create experiences that communicate what an AI system is doing, why it made a recommendation, and what actions it has taken or intends to take. UX & Product Design Own design initiatives from discovery and concept development through prototyping, implementation, launch, and post-launch optimization. Conduct user research, usability studies, interviews, competitive analysis, and workflow analysis to understand customer needs and behaviors. Translate customer problems and product requirements into user journeys, workflows, wireframes, prototypes, and high-fidelity designs. Develop and validate design hypotheses through rapid prototyping and user testing. Identify opportunities to simplify complex workflows through thoughtful UX and intelligent automation. Use qualitative and quantitative data to evaluate experiences and recommend improvements. Work closely with Product Management to ensure designs address meaningful customer problems and measurable business outcomes. AI Trust & Responsible Design Design AI experiences that establish appropriate levels of trust, transparency, and user control . Clearly distinguish AI-generated information and actions where appropriate. Design graceful experiences for uncertainty, incomplete information, errors, hallucinations, and situations where the AI cannot confidently complete a request. Create effective confirmation, undo, escalation, and human-in-the-loop patterns for AI-driven actions. Design feedback mechanisms that allow users to evaluate, correct, or improve AI-generated results. Partner with Product, Engineering, Security, Privacy, and Legal teams to incorporate responsible AI principles into the user experience. Help establish UX guidelines for consistent and responsible use of AI throughout Intermedia products. Design Systems Contribute to and evolve Intermedia's design system to support AI-powered experiences. Define reusable patterns and components for conversational interfaces, AI recommendations, generated content, AI actions, status indicators, feedback mechanisms, and agentic workflows. Ensure new AI capabilities integrate naturally with established product experiences rather than feeling like disconnected features. Maintain consistency across products while identifying where emerging AI interactions require new design paradigms. Partner with designers and developers to ensure design-system components are practical, scalable, accessible, and consistently implemented. Collaboration & Leadership Partner closely with Product Managers, Product Owners, AI/ML engineers, software engineers, architects, researchers, and other designers. Facilitate design workshops and collaborative discovery sessions to explore customer problems and AI opportunities. Clearly communicate design rationale, research findings, user needs, and tradeoffs to technical and non-technical stakeholders. Challenge assumptions and advocate for customer-centered solutions when technology or implementation considerations begin driving the experience. Provide design leadership and mentorship to other designers and help raise the overall quality of UX across the organization. Collaborate effectively across multiple teams and product areas to create coherent end-to-end customer experiences. Stay current with emerging AI technologies, interaction patterns, and design practices and translate relevant developments into practical product experiences. Our Expectations 5+ years of professional UI/UX, Product Design, or Interaction Design experience, ideally designing complex SaaS or enterprise software. A strong portfolio demonstrating end-to-end product design, complex workflows, interaction design, and thoughtful problem solving. Excellent knowledge of usability, UX/UI, interaction design, information architecture, accessibility, and human factors principles. Strong ability to analyze complex requirements and turn them into simple, elegant solutions. Experience conducting or participating in user research and usability testing. Strong proficiency with Figma , prototyping tools, and modern design-system practices. Experience working closely with Product Management and Engineering in an Agile software-development environment. Strong communication, presentation, collaboration, and stakeholder-management skills. Ability to work effectively with ambiguity and rapidly evolving requirements. Strong attention to detail while maintaining an understanding of the broader product and customer experience. AI Experience & Knowledge We don't expect you to be an AI engineer, but we do expect curiosity and practical fluency with modern AI technologies. The ideal candidate has: Experience designing products or features powered by generative AI, machine learning, or intelligent automation. Understanding of large language models (LLMs) and the opportunities and limitations they introduce into product experiences. Familiarity with conversational UX and natural-language interfaces. Understanding of concepts such as prompts, context, AI-generated content, confidence and uncertainty, hallucinations, and AI feedback loops. Familiarity with AI agents and emerging patterns for designing systems that can perform multi-step actions on behalf of users. Experience thinking through trust, transparency, explainability, privacy, and user control in AI experiences. A strong interest in experimenting with new AI tools and interaction models. Advantages Experience designing enterprise communications, collaboration, contact center, productivity, or workflow-automation products. Experience designing AI copilots, assistants, conversational interfaces, or agentic workflows. Experience developing or contributing to large-scale design systems. Experience with voice and multimodal interfaces. Understanding of accessibility standards and inclusive design. Familiarity with HTML/CSS and the technical constraints of modern web applications. Experience using AI-assisted design and prototyping tools. Experience working with globally distributed Product and Engineering teams. What Success Looks Like As a Senior UI/UX Designer – AI, you will help ensure that AI at Intermedia is not simply powerful technology—it is a valuable and trusted customer experience . Success means: Customers immediately understand how AI can help them. Complex AI capabilities feel simple and natural to use. Users remain informed and in control when AI recommends or takes actions. AI features integrate seamlessly into existing customer workflows. Common AI interaction patterns become consistent across Intermedia products. Research and customer feedback meaningfully influence AI product decisions. Product and Engineering teams view Design as a strategic partner in determining what AI experiences should be built , not simply how they should look. Ultimately, you will help establish the design language and interaction principles that shape how customers experience AI across Intermedia's portfolio.

Location: United Kingdom Workplace: remote About Intermedia Are you looking for a company where YOUR VOICE is heard? Where can you MAKE A DIFFERENCE? Do you THRIVE in a FAST-PACED work environment? Do you wake every morning EXCITED to work with GREAT PEOPLE and create SUCCESS TOGETHER? Then Intermedia is the place for you. Intermedia has established itself as a leading provider of cloud communications and collaboration tech that allows companies to connect better. We have a strong track record of growth, profitability, and creating an environment where everyone matters. Everyone. While we are fast-paced and admittedly a bit intense, we promise that you won’t be bored. You will find Intermedia is a place where you can indulge your passion for creating and supporting great cloud technology. What’s more, we always look to promote from within and have many employees who have been with us 10, 15, and 20+ years! Culture at Intermedia is built on teamwork and transparency. We hold each other accountable and always have each other’s back! While primarily remote , this role requires occasional visits to the Bristol office or London. Are you ready to make your mark? About the Role In this role, you will design and build the backend services and capabilities that enable users to create, configure, test and deploy. You will work closely with frontend engineers, AI/ML engineers, product managers, UX designers, and platform teams to bring Agent Studio capabilities from concept through production. You will develop the services behind agent configuration, orchestration, integrations, testing, deployment, and lifecycle management while ensuring the platform meets enterprise expectations for performance, reliability, security, and scalability. This is a great opportunity for an experienced backend engineer who enjoys solving complex technical problems, building extensible products, and creating intuitive ways for users. What You Will Be Doing • Design, develop, test, and maintain scalable backend services and APIs • Build capabilities that enable users to create, configure, test and deploy. • Build APIs and service interfaces that enable intuitive user experiences and reliable interaction between frontend and backend services. • Develop mechanisms for managing configurations, versions, state, context, tools, permissions, and other runtime components. • Build services that enable to securely interact with Intermedia products, enterprise applications, APIs, data sources, and external services. • Collaborate closely with frontend engineers and UX teams to translate complex capabilities into intuitive product experiences. • Work with product managers to translate customer needs and requirements into scalable technical solutions. • Contribute to technical design decisions for agent orchestration, configuration management, workflow execution, integrations, and supporting backend services. • Build capabilities that allow users to test, evaluate, troubleshoot, and refine before and after deployment. • Develop reliable mechanisms for handling execution, errors, retries, timeouts, and other runtime conditions. • Design appropriate controls for authentication, authorization, permissions, and secure access to tools, models, services, and data. • Design for scalability, reliability, performance, observability, and fault tolerance across services. • Write high-quality, readable, testable code that follows established engineering standards and best practices. • Participate in code and design reviews and contribute to strong engineering and quality practices across the team. • Troubleshoot and resolve complex issues across backend services, workflows and integrations. • Build monitoring, logging, testing, and observability into production services to support reliable agent execution and product operations. • Collaborate with DevOps, and infrastructure teams to support reliable deployment and operation. • Stay current with emerging technologies and engineering approaches related backend engineering, and distributed systems. • Participate in continuous improvement initiatives that enhance product quality, reliability, developer productivity, and engineering efficiency. What You Will Bring to the Role Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience. • 4–7 years of professional software engineering experience, with demonstrated experience developing backend applications and services. • Strong proficiency in one or more backend programming languages and associated frameworks. • Experience designing and developing RESTful APIs, microservices, or other serviceoriented applications. • Solid understanding of software design principles, data structures, algorithms, and distributed systems concepts. • Experience working with relational and/or NoSQL databases. • Experience building and supporting scalable, reliable production applications. • Experience integrating applications with internal and external APIs, services, and data sources. • Experience designing backend services that support complex, interactive product experiences. • Working knowledge of cloud platforms such as AWS or Azure and cloud-native application architectures. • Familiarity with automated testing, CI/CD, source control, and modern software development practices. • Understanding of monitoring, logging, observability, and production support practices. • Strong problem-solving skills and the ability to independently investigate and resolve complex technical issues. • Ability to work effectively in an environment where technologies, product requirements, and technical approaches are evolving rapidly. • Strong communication and collaboration skills with the ability to work effectively across backend, frontend, AI/ML, Product, UX, and platform teams. • Working understanding of Agile development methodologies and frameworks. Diversity, Inclusion, and Equal Opportunity We hire, promote, and compensate employees based on their ability to perform their job responsibilities, without regard to race, color, creed, religion, sex, gender, marital status, national origin, ancestry, age, citizenship, physical or mental disability, sexual orientation, or any other basis protected by applicable law (collectively referred to in our Code of Conduct as “Protected Classes”). We do not tolerate employment discrimination in the workplace, and we are committed to making reasonable accommodations for identified disabilities or other limitations as required by all applicable laws. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Location: United Kingdom Workplace: remote About Intermedia Are you looking for a company where YOUR VOICE is heard? Where can you MAKE A DIFFERENCE? Do you THRIVE in a FAST-PACED work environment? Do you wake every morning EXCITED to work with GREAT PEOPLE and create SUCCESS TOGETHER? Then Intermedia is the place for you. Intermedia has established itself as a leading provider of cloud communications and collaboration tech that allows companies to connect better. We have a strong track record of growth, profitability, and creating an environment where everyone matters. Everyone. While we are fast-paced and admittedly a bit intense, we promise that you won’t be bored. You will find Intermedia is a place where you can indulge your passion for creating and supporting great cloud technology. What’s more, we always look to promote from within and have many employees who have been with us 10, 15, and 20+ years! Culture at Intermedia is built on teamwork and transparency. We hold each other accountable and always have each other’s back! While primarily remote , this role requires occasional visits to the Bristol office or London. About the Role Intermedia is looking for a Data Scientist to join our AI Data Science team. In this role, you will develop and apply advanced machine learning, generative AI, and statistical techniques to improve the intelligence, effectiveness, and reliability of Intermedia's digital agents. You will work on challenging problems involving large language models, retrieval, agent behavior, experimentation, evaluation, and optimization to help create digital agents that can understand customer needs, access relevant knowledge, and successfully complete complex tasks. You will work closely with AI/ML engineers, software engineers, product managers, and other data scientists to take ideas from experimentation through production. You will have significant ownership of data science solutions while helping establish strong practices for measuring and continuously improving the quality of our AI-powered experiences. What You Will Be Doing Machine Learning & Agent Intelligence Develop, evaluate, and improve machine learning and generative AI solutions that power Intermedia's Digital Agent Platform. Apply large language models (LLMs), natural language processing, retrieval, and other advanced AI techniques to improve agent understanding and performance. Develop approaches that improve agent reasoning, tool selection, knowledge retrieval, context management, personalization, and task completion. Experiment with model, prompt, retrieval, and agent configuration strategies to identify approaches that deliver the best customer and business outcomes. Evaluate commercial and open-source models and recommend appropriate approaches based on quality, latency, scalability, and cost. Generative AI & RAG Design, develop, and optimize Retrieval-Augmented Generation (RAG) solutions that ground digital agents in relevant enterprise and customer information. Develop and evaluate embeddings, retrieval strategies, ranking approaches, semantic search, and other knowledge-retrieval techniques. Build and refine end-to-end pipelines that combine LLMs with retrieval systems, enterprise knowledge sources, and agent workflows. Develop approaches to improve the relevance, accuracy, and consistency of AI-generated responses. Identify and mitigate issues such as hallucinations, poor retrieval, inappropriate responses, and other failure modes in generative AI applications. Evaluation & Experimentation Develop rigorous evaluation frameworks for measuring digital agent quality, including accuracy, relevance, task completion, reliability, safety, and customer experience. Design offline and online experiments to compare models, prompts, retrieval strategies, agent configurations, and other AI approaches. Apply statistical analysis, hypothesis testing, segmentation, and other quantitative methods to evaluate AI performance and identify opportunities for improvement. Define appropriate metrics and benchmarks that connect model and agent performance to customer and business outcomes. Analyze production behavior and feedback to identify patterns, failure modes, and opportunities to continuously improve digital agents. Ensure data and model quality through comprehensive testing, validation, and performance evaluation. Data & Solution Development Gather, preprocess, analyze, and model large volumes of structured and unstructured data from multiple sources. Use Python, SQL, Spark, and other relevant technologies to build scalable analytical and machine learning solutions. Develop features, datasets, and analytical approaches that support model development, experimentation, and evaluation. Partner with data and engineering teams to build and maintain reliable pipelines for model training, evaluation, and production use. Contribute to scalable ML/AI pipelines that support experimentation, deployment, monitoring, and continuous improvement. Ensure solutions are reproducible, maintainable, and designed to operate effectively at production scale. Collaboration Partner with Product, AI/ML Engineering, Software Engineering, and other Data Science team members to translate customer and business problems into effective AI solutions. Communicate analytical findings, model performance, tradeoffs, and recommendations clearly to technical and non-technical stakeholders. Participate in technical and design reviews and help establish strong practices for AI experimentation, evaluation, and model development. Mentor and support less experienced data scientists and contribute to knowledge sharing across the team. What You Will Bring to the Role Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Machine Learning, Analytics, or a related quantitative field; Master's degree preferred. 4+ years of professional experience in data science, machine learning, applied AI, or a related analytical field. Strong experience developing and applying supervised and unsupervised machine learning models to real-world problems. Hands-on experience with generative AI, large language models, NLP, or other modern AI technologies. Strong programming skills in Python and experience with SQL and large-scale data processing technologies. Experience with modern machine learning frameworks such as PyTorch, TensorFlow, scikit-learn, or equivalent technologies. Strong understanding of statistical analysis, experimentation, hypothesis testing, model evaluation, and performance measurement. Experience working with large volumes of structured and unstructured data. Demonstrated ability to independently frame ambiguous problems, develop analytical approaches, evaluate alternatives, and deliver actionable solutions. Experience taking machine learning or AI solutions beyond experimentation and contributing to their deployment and operation in production environments. Understanding of model quality, data quality, bias, reliability, and other considerations associated with production AI systems. Strong problem-solving and analytical skills with the ability to connect technical results to customer and business outcomes. Strong written and verbal communication skills with the ability to explain complex analytical and AI concepts to technical and non-technical audiences. Ability to collaborate effectively across Data Science, AI/ML Engineering, Software Engineering, Product, and business teams. Diversity, Inclusion, and Equal Opportunity We hire, promote, and compensate employees based on their ability to perform their job responsibilities, without regard to race, color, creed, religion, sex, gender, marital status, national origin, ancestry, age, citizenship, physical or mental disability, sexual orientation, or any other basis protected by applicable law (collectively referred to in our Code of Conduct as “Protected Classes”). We do not tolerate employment discrimination in the workplace, and we are committed to making reasonable accommodations for identified disabilities or other limitations as required by all applicable laws. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Location: Portugal Workplace: onsite About the Role We are looking for a Senior UI/UX Designer – Portals to help define the next generation of intelligent experiences across Intermedia's products. In this role, you will design experiences that make artificial intelligence useful, intuitive, trustworthy, and approachable for business users. You will work at the intersection of UX strategy, interaction design, generative AI, conversational experiences, and enterprise software , turning sophisticated AI capabilities into simple experiences that solve real customer problems. You will partner closely with Product Managers, Product Owners, AI/ML teams, Engineering, Research, and other designers throughout the complete product lifecycle—from customer and market research through concepts, prototyping, development, launch, and post-launch analysis. This is not simply a role for adding AI features to existing interfaces. You will help define how users interact with AI across our products , including copilots, assistants, conversational interfaces, recommendations, summarization, intelligent automation, and agentic experiences. Key Responsibilities AI Experience Design Design intuitive user experiences for AI-powered capabilities across web, desktop, mobile, and administrative interfaces. Explore new interaction models for generative AI, including conversational interfaces, copilots, AI assistants, intelligent recommendations, content generation, summarization, and AI-driven workflow automation. Design experiences for emerging agentic AI capabilities where AI systems can reason, recommend actions, execute tasks, and coordinate multi-step workflows on behalf of users. Translate complex AI functionality into simple, understandable interactions appropriate for everyday business users. Determine when AI should proactively assist users versus when users should explicitly initiate or control AI functionality. Design effective patterns for prompts, suggestions, generated content, AI actions, confirmations, feedback, and human intervention. Create experiences that communicate what an AI system is doing, why it made a recommendation, and what actions it has taken or intends to take. UX & Product Design Own design initiatives from discovery and concept development through prototyping, implementation, launch, and post-launch optimization. Conduct user research, usability studies, interviews, competitive analysis, and workflow analysis to understand customer needs and behaviors. Translate customer problems and product requirements into user journeys, workflows, wireframes, prototypes, and high-fidelity designs. Develop and validate design hypotheses through rapid prototyping and user testing. Identify opportunities to simplify complex workflows through thoughtful UX and intelligent automation. Use qualitative and quantitative data to evaluate experiences and recommend improvements. Work closely with Product Management to ensure designs address meaningful customer problems and measurable business outcomes. AI Trust & Responsible Design Design AI experiences that establish appropriate levels of trust, transparency, and user control . Clearly distinguish AI-generated information and actions where appropriate. Design graceful experiences for uncertainty, incomplete information, errors, hallucinations, and situations where the AI cannot confidently complete a request. Create effective confirmation, undo, escalation, and human-in-the-loop patterns for AI-driven actions. Design feedback mechanisms that allow users to evaluate, correct, or improve AI-generated results. Partner with Product, Engineering, Security, Privacy, and Legal teams to incorporate responsible AI principles into the user experience. Help establish UX guidelines for consistent and responsible use of AI throughout Intermedia products. Design Systems Contribute to and evolve Intermedia's design system to support AI-powered experiences. Define reusable patterns and components for conversational interfaces, AI recommendations, generated content, AI actions, status indicators, feedback mechanisms, and agentic workflows. Ensure new AI capabilities integrate naturally with established product experiences rather than feeling like disconnected features. Maintain consistency across products while identifying where emerging AI interactions require new design paradigms. Partner with designers and developers to ensure design-system components are practical, scalable, accessible, and consistently implemented. Collaboration & Leadership Partner closely with Product Managers, Product Owners, AI/ML engineers, software engineers, architects, researchers, and other designers. Facilitate design workshops and collaborative discovery sessions to explore customer problems and AI opportunities. Clearly communicate design rationale, research findings, user needs, and tradeoffs to technical and non-technical stakeholders. Challenge assumptions and advocate for customer-centered solutions when technology or implementation considerations begin driving the experience. Provide design leadership and mentorship to other designers and help raise the overall quality of UX across the organization. Collaborate effectively across multiple teams and product areas to create coherent end-to-end customer experiences. Stay current with emerging AI technologies, interaction patterns, and design practices and translate relevant developments into practical product experiences. Our Expectations 5+ years of professional UI/UX, Product Design, or Interaction Design experience, ideally designing complex SaaS or enterprise software. A strong portfolio demonstrating end-to-end product design, complex workflows, interaction design, and thoughtful problem solving. Excellent knowledge of usability, UX/UI, interaction design, information architecture, accessibility, and human factors principles. Strong ability to analyze complex requirements and turn them into simple, elegant solutions. Experience conducting or participating in user research and usability testing. Strong proficiency with Figma , prototyping tools, and modern design-system practices. Experience working closely with Product Management and Engineering in an Agile software-development environment. Strong communication, presentation, collaboration, and stakeholder-management skills. Ability to work effectively with ambiguity and rapidly evolving requirements. Strong attention to detail while maintaining an understanding of the broader product and customer experience. AI Experience & Knowledge We don't expect you to be an AI engineer, but we do expect curiosity and practical fluency with modern AI technologies. The ideal candidate has: Experience designing products or features powered by generative AI, machine learning, or intelligent automation. Understanding of large language models (LLMs) and the opportunities and limitations they introduce into product experiences. Familiarity with conversational UX and natural-language interfaces. Understanding of concepts such as prompts, context, AI-generated content, confidence and uncertainty, hallucinations, and AI feedback loops. Familiarity with AI agents and emerging patterns for designing systems that can perform multi-step actions on behalf of users. Experience thinking through trust, transparency, explainability, privacy, and user control in AI experiences. A strong interest in experimenting with new AI tools and interaction models. Advantages Experience designing enterprise communications, collaboration, contact center, productivity, or workflow-automation products. Experience designing AI copilots, assistants, conversational interfaces, or agentic workflows. Experience developing or contributing to large-scale design systems. Experience with voice and multimodal interfaces. Understanding of accessibility standards and inclusive design. Familiarity with HTML/CSS and the technical constraints of modern web applications. Experience using AI-assisted design and prototyping tools. Experience working with globally distributed Product and Engineering teams. What Success Looks Like As a Senior UI/UX Designer – AI, you will help ensure that AI at Intermedia is not simply powerful technology—it is a valuable and trusted customer experience . Success means: Customers immediately understand how AI can help them. Complex AI capabilities feel simple and natural to use. Users remain informed and in control when AI recommends or takes actions. AI features integrate seamlessly into existing customer workflows. Common AI interaction patterns become consistent across Intermedia products. Research and customer feedback meaningfully influence AI product decisions. Product and Engineering teams view Design as a strategic partner in determining what AI experiences should be built , not simply how they should look. Ultimately, you will help establish the design language and interaction principles that shape how customers experience AI across Intermedia's portfolio.

Location: Portugal Workplace: remote About the Role We are looking for a Senior UI/UX Designer – AI to help define the next generation of intelligent experiences across Intermedia's products. In this role, you will design experiences that make artificial intelligence useful, intuitive, trustworthy, and approachable for business users. You will work at the intersection of UX strategy, interaction design, generative AI, conversational experiences, and enterprise software , turning sophisticated AI capabilities into simple experiences that solve real customer problems. You will partner closely with Product Managers, Product Owners, AI/ML teams, Engineering, Research, and other designers throughout the complete product lifecycle—from customer and market research through concepts, prototyping, development, launch, and post-launch analysis. This is not simply a role for adding AI features to existing interfaces. You will help define how users interact with AI across our products , including copilots, assistants, conversational interfaces, recommendations, summarization, intelligent automation, and agentic experiences. Key Responsibilities AI Experience Design Design intuitive user experiences for AI-powered capabilities across web, desktop, mobile, and administrative interfaces. Explore new interaction models for generative AI, including conversational interfaces, copilots, AI assistants, intelligent recommendations, content generation, summarization, and AI-driven workflow automation. Design experiences for emerging agentic AI capabilities where AI systems can reason, recommend actions, execute tasks, and coordinate multi-step workflows on behalf of users. Translate complex AI functionality into simple, understandable interactions appropriate for everyday business users. Determine when AI should proactively assist users versus when users should explicitly initiate or control AI functionality. Design effective patterns for prompts, suggestions, generated content, AI actions, confirmations, feedback, and human intervention. Create experiences that communicate what an AI system is doing, why it made a recommendation, and what actions it has taken or intends to take. UX & Product Design Own design initiatives from discovery and concept development through prototyping, implementation, launch, and post-launch optimization. Conduct user research, usability studies, interviews, competitive analysis, and workflow analysis to understand customer needs and behaviors. Translate customer problems and product requirements into user journeys, workflows, wireframes, prototypes, and high-fidelity designs. Develop and validate design hypotheses through rapid prototyping and user testing. Identify opportunities to simplify complex workflows through thoughtful UX and intelligent automation. Use qualitative and quantitative data to evaluate experiences and recommend improvements. Work closely with Product Management to ensure designs address meaningful customer problems and measurable business outcomes. AI Trust & Responsible Design Design AI experiences that establish appropriate levels of trust, transparency, and user control . Clearly distinguish AI-generated information and actions where appropriate. Design graceful experiences for uncertainty, incomplete information, errors, hallucinations, and situations where the AI cannot confidently complete a request. Create effective confirmation, undo, escalation, and human-in-the-loop patterns for AI-driven actions. Design feedback mechanisms that allow users to evaluate, correct, or improve AI-generated results. Partner with Product, Engineering, Security, Privacy, and Legal teams to incorporate responsible AI principles into the user experience. Help establish UX guidelines for consistent and responsible use of AI throughout Intermedia products. Design Systems Contribute to and evolve Intermedia's design system to support AI-powered experiences. Define reusable patterns and components for conversational interfaces, AI recommendations, generated content, AI actions, status indicators, feedback mechanisms, and agentic workflows. Ensure new AI capabilities integrate naturally with established product experiences rather than feeling like disconnected features. Maintain consistency across products while identifying where emerging AI interactions require new design paradigms. Partner with designers and developers to ensure design-system components are practical, scalable, accessible, and consistently implemented. Collaboration & Leadership Partner closely with Product Managers, Product Owners, AI/ML engineers, software engineers, architects, researchers, and other designers. Facilitate design workshops and collaborative discovery sessions to explore customer problems and AI opportunities. Clearly communicate design rationale, research findings, user needs, and tradeoffs to technical and non-technical stakeholders. Challenge assumptions and advocate for customer-centered solutions when technology or implementation considerations begin driving the experience. Provide design leadership and mentorship to other designers and help raise the overall quality of UX across the organization. Collaborate effectively across multiple teams and product areas to create coherent end-to-end customer experiences. Stay current with emerging AI technologies, interaction patterns, and design practices and translate relevant developments into practical product experiences. Our Expectations 5+ years of professional UI/UX, Product Design, or Interaction Design experience, ideally designing complex SaaS or enterprise software. A strong portfolio demonstrating end-to-end product design, complex workflows, interaction design, and thoughtful problem solving. Excellent knowledge of usability, UX/UI, interaction design, information architecture, accessibility, and human factors principles. Strong ability to analyze complex requirements and turn them into simple, elegant solutions. Experience conducting or participating in user research and usability testing. Strong proficiency with Figma , prototyping tools, and modern design-system practices. Experience working closely with Product Management and Engineering in an Agile software-development environment. Strong communication, presentation, collaboration, and stakeholder-management skills. Ability to work effectively with ambiguity and rapidly evolving requirements. Strong attention to detail while maintaining an understanding of the broader product and customer experience. AI Experience & Knowledge We don't expect you to be an AI engineer, but we do expect curiosity and practical fluency with modern AI technologies. The ideal candidate has: Experience designing products or features powered by generative AI, machine learning, or intelligent automation. Understanding of large language models (LLMs) and the opportunities and limitations they introduce into product experiences. Familiarity with conversational UX and natural-language interfaces. Understanding of concepts such as prompts, context, AI-generated content, confidence and uncertainty, hallucinations, and AI feedback loops. Familiarity with AI agents and emerging patterns for designing systems that can perform multi-step actions on behalf of users. Experience thinking through trust, transparency, explainability, privacy, and user control in AI experiences. A strong interest in experimenting with new AI tools and interaction models. Advantages Experience designing enterprise communications, collaboration, contact center, productivity, or workflow-automation products. Experience designing AI copilots, assistants, conversational interfaces, or agentic workflows. Experience developing or contributing to large-scale design systems. Experience with voice and multimodal interfaces. Understanding of accessibility standards and inclusive design. Familiarity with HTML/CSS and the technical constraints of modern web applications. Experience using AI-assisted design and prototyping tools. Experience working with globally distributed Product and Engineering teams. What Success Looks Like As a Senior UI/UX Designer – AI, you will help ensure that AI at Intermedia is not simply powerful technology—it is a valuable and trusted customer experience . Success means: Customers immediately understand how AI can help them. Complex AI capabilities feel simple and natural to use. Users remain informed and in control when AI recommends or takes actions. AI features integrate seamlessly into existing customer workflows. Common AI interaction patterns become consistent across Intermedia products. Research and customer feedback meaningfully influence AI product decisions. Product and Engineering teams view Design as a strategic partner in determining what AI experiences should be built , not simply how they should look. Ultimately, you will help establish the design language and interaction principles that shape how customers experience AI across Intermedia's portfolio.

Location: Portugal Workplace: remote UI/UX Designer 2 – AI About the Role We are looking for a Senior UI/UX Designer – AI to help define the next generation of intelligent experiences across Intermedia's products. In this role, you will design experiences that make artificial intelligence useful, intuitive, trustworthy, and approachable for business users. You will work at the intersection of UX strategy, interaction design, generative AI, conversational experiences, and enterprise software , turning sophisticated AI capabilities into simple experiences that solve real customer problems. You will partner closely with Product Managers, Product Owners, AI/ML teams, Engineering, Research, and other designers throughout the complete product lifecycle—from customer and market research through concepts, prototyping, development, launch, and post-launch analysis. This is not simply a role for adding AI features to existing interfaces. You will help define how users interact with AI across our products , including copilots, assistants, conversational interfaces, recommendations, summarization, intelligent automation, and agentic experiences. Responsibilities AI Experience Design Design intuitive user experiences for AI-powered capabilities across web, desktop, mobile, and administrative interfaces. Explore new interaction models for generative AI, including conversational interfaces, copilots, AI assistants, intelligent recommendations, content generation, summarization, and AI-driven workflow automation. Design experiences for emerging agentic AI capabilities where AI systems can reason, recommend actions, execute tasks, and coordinate multi-step workflows on behalf of users. Translate complex AI functionality into simple, understandable interactions appropriate for everyday business users. Determine when AI should proactively assist users versus when users should explicitly initiate or control AI functionality. Design effective patterns for prompts, suggestions, generated content, AI actions, confirmations, feedback, and human intervention. Create experiences that communicate what an AI system is doing, why it made a recommendation, and what actions it has taken or intends to take. UX & Product Design Own design initiatives from discovery and concept development through prototyping, implementation, launch, and post-launch optimization. Conduct user research, usability studies, interviews, competitive analysis, and workflow analysis to understand customer needs and behaviors. Translate customer problems and product requirements into user journeys, workflows, wireframes, prototypes, and high-fidelity designs. Develop and validate design hypotheses through rapid prototyping and user testing. Identify opportunities to simplify complex workflows through thoughtful UX and intelligent automation. Use qualitative and quantitative data to evaluate experiences and recommend improvements. Work closely with Product Management to ensure designs address meaningful customer problems and measurable business outcomes. AI Trust & Responsible Design Design AI experiences that establish appropriate levels of trust, transparency, and user control . Clearly distinguish AI-generated information and actions where appropriate. Design graceful experiences for uncertainty, incomplete information, errors, hallucinations, and situations where the AI cannot confidently complete a request. Create effective confirmation, undo, escalation, and human-in-the-loop patterns for AI-driven actions. Design feedback mechanisms that allow users to evaluate, correct, or improve AI-generated results. Partner with Product, Engineering, Security, Privacy, and Legal teams to incorporate responsible AI principles into the user experience. Help establish UX guidelines for consistent and responsible use of AI throughout Intermedia products. Design Systems Contribute to and evolve Intermedia's design system to support AI-powered experiences. Define reusable patterns and components for conversational interfaces, AI recommendations, generated content, AI actions, status indicators, feedback mechanisms, and agentic workflows. Ensure new AI capabilities integrate naturally with established product experiences rather than feeling like disconnected features. Maintain consistency across products while identifying where emerging AI interactions require new design paradigms. Partner with designers and developers to ensure design-system components are practical, scalable, accessible, and consistently implemented. Collaboration & Leadership Partner closely with Product Managers, Product Owners, AI/ML engineers, software engineers, architects, researchers, and other designers. Facilitate design workshops and collaborative discovery sessions to explore customer problems and AI opportunities. Clearly communicate design rationale, research findings, user needs, and tradeoffs to technical and non-technical stakeholders. Challenge assumptions and advocate for customer-centered solutions when technology or implementation considerations begin driving the experience. Provide design leadership and mentorship to other designers and help raise the overall quality of UX across the organization. Collaborate effectively across multiple teams and product areas to create coherent end-to-end customer experiences. Stay current with emerging AI technologies, interaction patterns, and design practices and translate relevant developments into practical product experiences. Our Expectations 5+ years of professional UI/UX, Product Design, or Interaction Design experience, ideally designing complex SaaS or enterprise software. A strong portfolio demonstrating end-to-end product design, complex workflows, interaction design, and thoughtful problem solving. Excellent knowledge of usability, UX/UI, interaction design, information architecture, accessibility, and human factors principles. Strong ability to analyze complex requirements and turn them into simple, elegant solutions. Experience conducting or participating in user research and usability testing. Strong proficiency with Figma , prototyping tools, and modern design-system practices. Experience working closely with Product Management and Engineering in an Agile software-development environment. Strong communication, presentation, collaboration, and stakeholder-management skills. Ability to work effectively with ambiguity and rapidly evolving requirements. Strong attention to detail while maintaining an understanding of the broader product and customer experience. AI Experience & Knowledge We don't expect you to be an AI engineer, but we do expect curiosity and practical fluency with modern AI technologies. The ideal candidate has: Experience designing products or features powered by generative AI, machine learning, or intelligent automation. Understanding of large language models (LLMs) and the opportunities and limitations they introduce into product experiences. Familiarity with conversational UX and natural-language interfaces. Understanding of concepts such as prompts, context, AI-generated content, confidence and uncertainty, hallucinations, and AI feedback loops. Familiarity with AI agents and emerging patterns for designing systems that can perform multi-step actions on behalf of users. Experience thinking through trust, transparency, explainability, privacy, and user control in AI experiences. A strong interest in experimenting with new AI tools and interaction models. Advantages Experience designing enterprise communications, collaboration, contact center, productivity, or workflow-automation products. Experience designing AI copilots, assistants, conversational interfaces, or agentic workflows. Experience developing or contributing to large-scale design systems. Experience with voice and multimodal interfaces. Understanding of accessibility standards and inclusive design. Familiarity with HTML/CSS and the technical constraints of modern web applications. Experience using AI-assisted design and prototyping tools. Experience working with globally distributed Product and Engineering teams. What Success Looks Like As a Senior UI/UX Designer – AI, you will help ensure that AI at Intermedia is not simply powerful technology—it is a valuable and trusted customer experience . Success means: Customers immediately understand how AI can help them. Complex AI capabilities feel simple and natural to use. Users remain informed and in control when AI recommends or takes actions. AI features integrate seamlessly into existing customer workflows. Common AI interaction patterns become consistent across Intermedia products. Research and customer feedback meaningfully influence AI product decisions. Product and Engineering teams view Design as a strategic partner in determining what AI experiences should be built , not simply how they should look. Ultimately, you will help establish the design language and interaction principles that shape how customers experience AI across Intermedia's portfolio.

Location: Portugal Workplace: remote About Intermedia Are you looking for a company where YOUR VOICE is heard? Where can you MAKE A DIFFERENCE? Do you THRIVE in a FAST-PACED work environment? Do you wake every morning EXCITED to work with GREAT PEOPLE and create SUCCESS TOGETHER? Then Intermedia is the place for you. Intermedia has established itself as a leading provider of cloud communications and collaboration tech that allows companies to connect better. We have a strong track record of growth, profitability, and creating an environment where everyone matters. Everyone. While we are fast-paced and admittedly a bit intense, we promise that you won’t be bored. You will find Intermedia is a place where you can indulge your passion for creating and supporting great cloud technology. What’s more, we always look to promote from within and have many employees who have been with us 10, 15, and 20+ years! Culture at Intermedia is built on teamwork and transparency. We hold each other accountable and always have each other’s back! While primarily remote , this role requires occasional visits to the office in Coimbra or in Aveiro. We plan to open an office in Porto in the future. This approach gives team members the flexibility to work remotely while also coming together in the office for collaboration and teamwork. About the Role Intermedia is looking for a Data Scientist to join our AI Data Science team. In this role, you will develop and apply advanced machine learning, generative AI, and statistical techniques to improve the intelligence, effectiveness, and reliability of Intermedia's digital agents. You will work on challenging problems involving large language models, retrieval, agent behavior, experimentation, evaluation, and optimization to help create digital agents that can understand customer needs, access relevant knowledge, and successfully complete complex tasks. You will work closely with AI/ML engineers, software engineers, product managers, and other data scientists to take ideas from experimentation through production. You will have significant ownership of data science solutions while helping establish strong practices for measuring and continuously improving the quality of our AI-powered experiences. What You Will Be Doing Machine Learning & Agent Intelligence Develop, evaluate, and improve machine learning and generative AI solutions that power Intermedia's Digital Agent Platform. Apply large language models (LLMs), natural language processing, retrieval, and other advanced AI techniques to improve agent understanding and performance. Develop approaches that improve agent reasoning, tool selection, knowledge retrieval, context management, personalization, and task completion. Experiment with model, prompt, retrieval, and agent configuration strategies to identify approaches that deliver the best customer and business outcomes. Evaluate commercial and open-source models and recommend appropriate approaches based on quality, latency, scalability, and cost. Generative AI & RAG Design, develop, and optimize Retrieval-Augmented Generation (RAG) solutions that ground digital agents in relevant enterprise and customer information. Develop and evaluate embeddings, retrieval strategies, ranking approaches, semantic search, and other knowledge-retrieval techniques. Build and refine end-to-end pipelines that combine LLMs with retrieval systems, enterprise knowledge sources, and agent workflows. Develop approaches to improve the relevance, accuracy, and consistency of AI-generated responses. Identify and mitigate issues such as hallucinations, poor retrieval, inappropriate responses, and other failure modes in generative AI applications. Evaluation & Experimentation Develop rigorous evaluation frameworks for measuring digital agent quality, including accuracy, relevance, task completion, reliability, safety, and customer experience. Design offline and online experiments to compare models, prompts, retrieval strategies, agent configurations, and other AI approaches. Apply statistical analysis, hypothesis testing, segmentation, and other quantitative methods to evaluate AI performance and identify opportunities for improvement. Define appropriate metrics and benchmarks that connect model and agent performance to customer and business outcomes. Analyze production behavior and feedback to identify patterns, failure modes, and opportunities to continuously improve digital agents. Ensure data and model quality through comprehensive testing, validation, and performance evaluation. Data & Solution Development Gather, preprocess, analyze, and model large volumes of structured and unstructured data from multiple sources. Use Python, SQL, Spark, and other relevant technologies to build scalable analytical and machine learning solutions. Develop features, datasets, and analytical approaches that support model development, experimentation, and evaluation. Partner with data and engineering teams to build and maintain reliable pipelines for model training, evaluation, and production use. Contribute to scalable ML/AI pipelines that support experimentation, deployment, monitoring, and continuous improvement. Ensure solutions are reproducible, maintainable, and designed to operate effectively at production scale. Collaboration Partner with Product, AI/ML Engineering, Software Engineering, and other Data Science team members to translate customer and business problems into effective AI solutions. Communicate analytical findings, model performance, tradeoffs, and recommendations clearly to technical and non-technical stakeholders. Participate in technical and design reviews and help establish strong practices for AI experimentation, evaluation, and model development. Mentor and support less experienced data scientists and contribute to knowledge sharing across the team. What You Will Bring to the Role Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Machine Learning, Analytics, or a related quantitative field; Master's degree preferred. 4+ years of professional experience in data science, machine learning, applied AI, or a related analytical field. Strong experience developing and applying supervised and unsupervised machine learning models to real-world problems. Hands-on experience with generative AI, large language models, NLP, or other modern AI technologies. Strong programming skills in Python and experience with SQL and large-scale data processing technologies. Experience with modern machine learning frameworks such as PyTorch, TensorFlow, scikit-learn, or equivalent technologies. Strong understanding of statistical analysis, experimentation, hypothesis testing, model evaluation, and performance measurement. Experience working with large volumes of structured and unstructured data. Demonstrated ability to independently frame ambiguous problems, develop analytical approaches, evaluate alternatives, and deliver actionable solutions. Experience taking machine learning or AI solutions beyond experimentation and contributing to their deployment and operation in production environments. Understanding of model quality, data quality, bias, reliability, and other considerations associated with production AI systems. Strong problem-solving and analytical skills with the ability to connect technical results to customer and business outcomes. Strong written and verbal communication skills with the ability to explain complex analytical and AI concepts to technical and non-technical audiences. Ability to collaborate effectively across Data Science, AI/ML Engineering, Software Engineering, Product, and business teams. Diversity, Inclusion, and Equal Opportunity We hire, promote, and compensate employees based on their ability to perform their job responsibilities, without regard to race, color, creed, religion, sex, gender, marital status, national origin, ancestry, age, citizenship, physical or mental disability, sexual orientation, or any other basis protected by applicable law (collectively referred to in our Code of Conduct as “Protected Classes”). We do not tolerate employment discrimination in the workplace, and we are committed to making reasonable accommodations for identified disabilities or other limitations as required by all applicable laws. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Location: Portugal Workplace: remote About Intermedia Are you looking for a company where YOUR VOICE is heard? Where can you MAKE A DIFFERENCE? Do you THRIVE in a FAST-PACED work environment? Do you wake every morning EXCITED to work with GREAT PEOPLE and create SUCCESS TOGETHER? Then Intermedia is the place for you. Intermedia has established itself as a leading provider of cloud communications and collaboration tech that allows companies to connect better. We have a strong track record of growth, profitability, and creating an environment where everyone matters. Everyone. While we are fast-paced and admittedly a bit intense, we promise that you won’t be bored. You will find Intermedia is a place where you can indulge your passion for creating and supporting great cloud technology. What’s more, we always look to promote from within and have many employees who have been with us 10, 15, and 20+ years! Culture at Intermedia is built on teamwork and transparency. We hold each other accountable and always have each other’s back! While primarily remote , this role requires occasional visits to the office in Coimbra or in Aveiro. We plan to open an office in Porto in the future. This approach gives team members the flexibility to work remotely while also coming together in the office for collaboration and teamwork. Are you ready to make your mark? About the Role In this role, you will design and build the backend services and capabilities that enable users to create, configure, test and deploy. You will work closely with frontend engineers, AI/ML engineers, product managers, UX designers, and platform teams to bring Agent Studio capabilities from concept through production. You will develop the services behind agent configuration, orchestration, integrations, testing, deployment, and lifecycle management while ensuring the platform meets enterprise expectations for performance, reliability, security, and scalability. This is a great opportunity for an experienced backend engineer who enjoys solving complex technical problems, building extensible products, and creating intuitive ways for users. What You Will Be Doing • Design, develop, test, and maintain scalable backend services and APIs • Build capabilities that enable users to create, configure, test and deploy. • Build APIs and service interfaces that enable intuitive user experiences and reliable interaction between frontend and backend services. • Develop mechanisms for managing configurations, versions, state, context, tools, permissions, and other runtime components. • Build services that enable to securely interact with Intermedia products, enterprise applications, APIs, data sources, and external services. • Collaborate closely with frontend engineers and UX teams to translate complex capabilities into intuitive product experiences. • Work with product managers to translate customer needs and requirements into scalable technical solutions. • Contribute to technical design decisions for agent orchestration, configuration management, workflow execution, integrations, and supporting backend services. • Build capabilities that allow users to test, evaluate, troubleshoot, and refine before and after deployment. • Develop reliable mechanisms for handling execution, errors, retries, timeouts, and other runtime conditions. • Design appropriate controls for authentication, authorization, permissions, and secure access to tools, models, services, and data. • Design for scalability, reliability, performance, observability, and fault tolerance across services. • Write high-quality, readable, testable code that follows established engineering standards and best practices. • Participate in code and design reviews and contribute to strong engineering and quality practices across the team. • Troubleshoot and resolve complex issues across backend services, workflows and integrations. • Build monitoring, logging, testing, and observability into production services to support reliable agent execution and product operations. • Collaborate with DevOps, and infrastructure teams to support reliable deployment and operation. • Stay current with emerging technologies and engineering approaches related backend engineering, and distributed systems. • Participate in continuous improvement initiatives that enhance product quality, reliability, developer productivity, and engineering efficiency. What You Will Bring to the Role Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience. • 4–7 years of professional software engineering experience, with demonstrated experience developing backend applications and services. • Strong proficiency in one or more backend programming languages and associated frameworks. • Experience designing and developing RESTful APIs, microservices, or other serviceoriented applications. • Solid understanding of software design principles, data structures, algorithms, and distributed systems concepts. • Experience working with relational and/or NoSQL databases. • Experience building and supporting scalable, reliable production applications. • Experience integrating applications with internal and external APIs, services, and data sources. • Experience designing backend services that support complex, interactive product experiences. • Working knowledge of cloud platforms such as AWS or Azure and cloud-native application architectures. • Familiarity with automated testing, CI/CD, source control, and modern software development practices. • Understanding of monitoring, logging, observability, and production support practices. • Strong problem-solving skills and the ability to independently investigate and resolve complex technical issues. • Ability to work effectively in an environment where technologies, product requirements, and technical approaches are evolving rapidly. • Strong communication and collaboration skills with the ability to work effectively across backend, frontend, AI/ML, Product, UX, and platform teams. • Working understanding of Agile development methodologies and frameworks. Diversity, Inclusion, and Equal Opportunity We hire, promote, and compensate employees based on their ability to perform their job responsibilities, without regard to race, color, creed, religion, sex, gender, marital status, national origin, ancestry, age, citizenship, physical or mental disability, sexual orientation, or any other basis protected by applicable law (collectively referred to in our Code of Conduct as “Protected Classes”). We do not tolerate employment discrimination in the workplace, and we are committed to making reasonable accommodations for identified disabilities or other limitations as required by all applicable laws. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Location: United Kingdom Workplace: hybrid Talent Partner - EMEA Technical Recruiting Location: UK About Intermedia Intermedia is a leading provider of Intelligent Cloud Communications, bringing together voice, video, collaboration, contact center, AI-enabled capabilities, and security into a seamless, enterprise-grade platform. Our technology helps organizations connect smarter, work better, and stay secure—leveraging intelligence and automation to improve how businesses communicate. At Intermedia, your voice matters. We move fast, hold ourselves accountable, and genuinely have each other’s backs. Many of our people have built long, meaningful careers here—10, 15, even 20+ years—because they’re challenged, trusted, and empowered to make an impact. If you thrive in a high-growth, technology-driven environment and love building world-class teams, we’d love to meet you. About the Role: We are seeking a Talent Partner with 2-6 years of recruiting experience, including hands-on exposure to technical hiring, to join our collaborative global recruiting team. This is an opportunity to help scale Intermedia across EMEA while continuing to build your own expertise in technical recruiting and global talent acquisition. You will partner with experienced recruiters, HR Business Partners, and hiring leaders to support hiring primarily across the UK and Portugal, with flexibility to assist in other EMEA and global markets as needs evolve. You will own searches, learn our business and technical landscape, and contribute ideas, market insight, and disciplined execution as we grow. This role is well suited to a recruiter with strong fundamentals who is eager to deepen their technical hiring capability and gain broader experience helping a global technology company scale. What you will be doing: Help scale the business by owning full-cycle technical recruiting, primarily across the UK and Portugal, with flexibility to support other EMEA and global needs. Recruit for roles across engineering, cloud infrastructure, security, DevOps, product, and AI-adjacent disciplines supporting our Intelligent Communications platform. Build knowledge of Intermedia's products, technologies, teams, and business goals so you can confidently engage and assess technical talent. Partner closely with the greater recruiting team, HR Business Partners, and Hiring Managers, seeking context, feedback, and subject-matter expertise when needed. Develop and execute thoughtful sourcing strategies using LinkedIn Recruiter, direct sourcing, referrals, market mapping, targeted campaigns, and appropriate AI-assisted tools. Build and maintain qualified, engaged pipelines across multiple geographies and time zones. Lead structured candidate screens, assess alignment with role requirements, and provide clear recommendations to Hiring Managers. Deliver an outstanding candidate experience and represent Intermedia's culture and employer brand with professionalism and care. Partner with Hiring Managers on intake, search strategy, interview design, structured evaluation, and timely decision-making. Share market insight and recruiting data that help leaders understand talent availability, competition, and potential adjustments to the search. Serve as a consistent point of contact for candidates throughout the recruiting lifecycle, ensuring transparency and timely communication. Track and communicate recruiting activity, pipeline health, conversion, time to slate, and hiring outcomes. Use data and feedback to improve sourcing, screening, stakeholder partnership, and overall recruiting effectiveness. Continue developing knowledge of technical talent markets across EMEA, including SaaS, cloud communications, UCaaS, CCaaS, and related sectors. Recognize when right-to-work, immigration, sponsorship, or country-specific questions require support and engage the appropriate HR Business Partner or subject-matter expert. Coordinate reference checks and other final-stage recruiting steps as required. What you will bring to the role: Required BA/BS degree or equivalent experience 2-6 years of proven technical recruiting experience, with a strong track record of success in full-cycle recruiting success, leveraging AI-driven tools to source, engage, and close top technical talent Demonstrated experience recruiting for technology-driven and AI-enabled organizations, preferably within SaaS, cloud communications, UCaaS, CCaaS, or related industries Ability to quickly learn and clearly articulate complex technical and AI-related roles, technologies, and business needs Some experience leveraging AI-powered recruiting tools for sourcing, screening, pipeline management, or recruiting analytics Strong sense of urgency with the ability to balance speed, quality, and candidate experience Results-oriented mindset with a history of meeting or exceeding hiring goals and performance metrics Comfort partnering with senior leaders and highly technical hiring managers Ability to operate effectively in a fast-paced, high-growth, and sometimes ambiguous environment Excellent written and verbal communication skills Collaborative, proactive, and solutions-oriented approach with a positive, can-do attitude Preferred Experience within SaaS, UCaaS, CCaaS, telecommunications, cloud infrastructure, or AI organizations. Experience sourcing across the UK and Europe. Knowledge of technical hiring markets and talent communities. Experience supporting high-growth technology organizations. Success Measures Qualified candidates generated Pipeline strength and diversity Time-to-slate Hiring manager satisfaction Candidate engagement rates Strategic talent pipeline development Diversity, Inclusion, and Equal Opportunity We hire, promote, and compensate employees based on their ability to perform their job responsibilities, without regard to race, color, creed, religion, sex, gender, marital status, national origin, ancestry, age, citizenship, physical or mental disability, sexual orientation, or any other basis protected by applicable law (collectively referred to in our Code of Conduct as “Protected Classes”). We do not tolerate employment discrimination in the workplace, and we are committed to making reasonable accommodations for identified disabilities or other limitations as required by all applicable laws. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Location: London; Paris Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ABOUT THE ROLE The next generation of AI companies is being built on APIs. As developers choose the models and infrastructure that will power their applications, Mistral has an opportunity to become the AI lab and provider of choice for those who value performance, openness and control. We are hiring a Senior Product Marketing Manager to turn developer adoption into sustained commercial growth. You'll define how the market understands Mistral's developer platform and build the go-to-market strategy for model APIs, and create a measurable path from initial experimentation to production usage and larger commercial relationships. Your objective is to grow self-serve revenue and make product adoption a repeatable source of qualified pipeline across Mistral’s API business. This is a greenfield opportunity to shape a fast-evolving market, influence product strategy and establish a new growth marketing capability. You'll work closely with senior leadership and teams across Product, Engineering, Science, Sales and Marketing to define our positioning, accelerate adoption and create a scalable path from self-serve usage to enterprise revenue. You won't inherit a playbook. You'll build one. WHAT YOU'LL DO DEFINE HOW MISTRAL CAN WIN DEVELOPERS. - Identify the developer audiences, customer problems, and their workloads where Mistral has the strongest opportunity to differentiate. - Define positioning and messaging strategy for models, capabilities, and use cases selected as growth priorities. - Translate our technical strengths such as model performance, transparent pricing, economics, and deployment choice into clear reasons to adopt Mistral. - Build a deep understanding of developer needs and competitive dynamics, using market research, customer insights and technical trends to sharpen our positioning and influence product priorities. BUILD THE API GO-TO-MARKET AND GROWTH ENGINE. - Develop the marketing strategy across the developer journey, from initial discovery and first API call through sustained paid usage.. - Partner with Product, Engineering, Science and Developer Relations to bring technical innovations to market through compelling narratives, campaigns, content and developer-focused programmes. - Partner with Sales to identify high-potential accounts and create pathways from experimentation to larger production workloads. Skills We’re Looking For - An experienced product marketer. You have proven experience in product marketing, growth marketing or developer marketing within B2B technology, developer platforms, APIs or AI, with demonstrable impact on product adoption and commercial outcomes. - A strategic storyteller. You've taken technical products from ambiguity to market, developing differentiated positioning and go-to-market strategies that help products stand out in competitive markets. - Fluent in developer audiences. You understand how developers discover, evaluate and adopt technical products, and know how to build trust, reduce friction and drive sustained engagement. - Technically credible. You can navigate API documentation, work with sample code and engage confidently with engineers and product teams. You understand the fundamentals of model performance, latency, inference costs, throughput and context windows, and can translate technical complexity into customer value. - Commercially minded and analytical. You connect marketing strategy to business outcomes, understand product-led growth, monetisation, and sales, and you use data to prioritise investments and measure impact. - A builder and cross-functional leader. You thrive in greenfield environments, influence senior stakeholders, challenge assumptions constructively and bring teams together around clear priorities. You're comfortable creating new capabilities and scaling what works. - Curious. You bring intellectual rigour, curiosity and conviction to complex problems. You're excited by the potential sovereign AI and the opportunity to give developers and businesses greater choice and control. NICE TO HAVE - Experience marketing AI APIs, developer platforms, cloud infrastructure or model-serving products. - Experience building product-led growth programmes or self-serve-to-enterprise motions. - A track record of technical thought leadership, developer community engagement or open-source participation. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Meridian Ledger is seeking a Senior Business Development & Partnerships Manager to join their team full-time. The role involves identifying and evaluating potential commercial and distribution partners, leading discovery calls and product presentations, negotiating partnerships, and creating customized commercial proposals. The manager will collaborate with product and operations teams to fulfill commitments, maintain detailed pipeline records, provide regular forecasts, monitor partnership performance and revenue, and represent the company at industry events. Candidates should have over three years of experience in business development, partnerships, or B2B sales within digital assets, with familiarity in exchanges, wallet providers, blockchain analytics, fintech, or related sectors. Proven success in forming partnerships or closing commercial deals is required, along with a solid understanding of wallets, exchanges, stablecoins, and blockchain infrastructure. Strong communication, negotiation, and relationship management skills are essential, as is the ability to work independently across international teams while respecting confidentiality. An established industry network is a plus. The position offers an annual base salary between USD 60,000 and 80,000, performance bonuses, paid leave, equipment support, and the option for digital currency compensation.

Location: United States - Remote Chainguard is the trusted source for open source. By delivering hardened, secure, and production-ready builds of all the open source software engineers and AI agents rely on, Chainguard helps organizations build faster, stay compliant, and eliminate risk. Our customers include Fortune 500 enterprises and global industry leaders, including Anduril, Canva, Fortinet, Hewlett Packard Enterprise, OpenAI, Snap Inc., and Snowflake. Chainguard is venture-backed by leading investors, including Amplify, IVP, Kleiner Perkins, Lightspeed Venture Partners, Mantis VC, Redpoint Ventures, Sequoia Capital, and Spark Capital. The role, in a nutshell: As the Senior Customer Success Operations Manager, you'll play a critical role in building and scaling the operational infrastructure that supports Chainguard's post-sales organization, including Customer Success Management, Professional Services, Customer Support, and Renewals. You'll serve as a strategic partner to Customer Success leadership, translating business priorities into scalable processes, systems, and performance frameworks that improve customer outcomes, operational efficiency, and revenue retention. This role requires someone who can think strategically, influence cross-functional decisions, and drive complex initiatives from strategy through execution. You'll help shape how we operate as we scale, with a focus on automation, data-driven decision-making, and delivering a consistent, customer-centric experience. What you'll do: Customer Success Operations Strategy & Execution Own and execute the Customer Success Operations roadmap, prioritizing initiatives that improve customer experience, operational efficiency, and scalability. Partner with CS leadership to translate organizational priorities into measurable operating plans, processes, and performance expectations. Support capacity planning, resource allocation, and productivity modeling across Customer Success, Professional Services, and Support. Identify operational gaps and lead cross-functional initiatives that improve how our post-sales teams operate. Systems Strategy & Operational Infrastructure Own the strategy, implementation, and optimization of our Customer Success technology ecosystem, ensuring systems support business needs as we scale. Partner with Business Systems and IT to drive integrations, automation, and data integrity across Salesforce, CS platforms, support systems, and product analytics tools. Establish scalable processes and workflows that reduce manual effort and improve visibility across the customer lifecycle. Evaluate and recommend tools and technology investments that improve operational efficiency and the customer experience. Renewals Strategy & Operations Lead the operational implementation of our Renewals function, including forecasting processes, quota tracking, performance measurement, and renewal workflows. Establish reporting and analytics around renewal attainment, gross revenue retention (GRR), net revenue retention (NRR), churn, and contraction. Partner with CS, Sales, and Finance to improve renewal predictability, identify retention risks, and establish clear accountability for revenue outcomes. Develop scalable processes for renewal engagement, risk identification, escalation, and cross-functional coordination. Performance Measurement & Business Insights Establish KPIs, reporting frameworks, and executive dashboards that measure customer outcomes, retention, and operational productivity. Analyze performance trends and translate insights into actionable recommendations for leadership. Drive consistent business reviews and operating cadences to evaluate performance, identify risks, and prioritize improvements. Support annual planning through data analysis, productivity benchmarks, and operational recommendations. Process Optimization & Customer Experience Design and implement scalable processes across onboarding, adoption, customer engagement, renewals, and support. Establish operational playbooks, service-level expectations, and accountability frameworks that improve consistency and execution. Partner cross-functionally to identify friction points in the customer journey and implement improvements that drive customer satisfaction and retention. Lead change management, enablement, and adoption for new processes, systems, and initiatives. What we're looking for: 7+ years of experience in Customer Success Operations, Revenue Operations, Business Operations, or a related function within B2B SaaS. Proven experience owning operational strategy and leading complex, cross-functional initiatives in a high-growth environment. Strong understanding of Customer Success operating models, SaaS retention metrics, renewal forecasting, and customer lifecycle management. Experience building and scaling operational processes, systems, and performance measurement frameworks. Deep Salesforce expertise and experience working with CS platforms, support systems such as Zendesk, and product analytics tools. Strong analytical capabilities, including forecasting, financial modeling, performance reporting, and translating data into business recommendations. Experience partnering with senior leadership across Customer Success, Finance, Sales, and Business Systems. Ability to independently identify business challenges, develop solutions, and influence decisions across functions. Strong communication, stakeholder management, and change management skills. Comfortable operating in ambiguity and balancing strategic priorities with hands-on execution. Strongly preferred: Experience building or scaling Customer Success Operations at a high-growth SaaS company. Experience supporting the launch or transformation of a dedicated Renewals organization. Familiarity with Professional Services operations, including utilization, delivery capacity, and resource planning. Experience implementing and integrating CS technology platforms and driving automation. Experience with SQL, Python, or other analytical and automation tools. Background in cybersecurity, developer tools, or enterprise infrastructure software. Base salary: $140,000-$165,000. About Us We live and breathe our company values: We are customer obsessed — We focus on delivering solutions to our customers that create value and make their lives better. We have a bias for intentional action — We prioritize, plan, try things, and fail fast. We don't take ourselves too seriously (but we do serious work) — We are solving an important problem which takes focus, but we also like to enjoy the journey. We trust each other and assume good intentions — We're transparent with decisions to empower team members to make well informed decisions. A few of the benefits we offer: Flexible & Remote-First Culture: Work remotely with team meetup opportunities, bi-annual destination summits, and a monthly stipend for coworking spaces, phone and internet costs. Our Approach to Equity: Receive stock options upon hire and promotion. Plus, you can participate in secondary offerings and have 10 years to exercise your options (yes, you read that correctly: 10 years!). 100% Covered Health Insurance: We cover 100% of your health, vision and dental insurance premiums for you and your dependents. Nothing comes out of your paycheck. ∞ Flexible Time Off: Take the time you need – to do our best work, we need to recharge and reset. 18 Weeks Paid Parental Leave: We offer 18 weeks for birthing parents and 12 weeks for non-birthing parents, with the option to use it all at once or throughout your child's first year. If your experience is close but doesn't fulfill all requirements, please apply. We're building the best team in technology and are focused on hiring "Chainguardians" with unique backgrounds, perspectives, and experiences. Chainguard is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. By submitting your application, you acknowledge that Chainguard will process your personal data in accordance with Chainguard's Global Candidate Privacy Notice . ©2026 Chainguard. All Rights Reserved.

Location: London; Paris Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ABOUT THE ROLE We’re looking for a Senior Product Marketing Manager, Enterprise Products to shape how we position, launch, and scale our enterprise products like Vibe and Studio. This is a high-impact role at the intersection of product, technology, and go-to-market strategy. You’ll translate complex product capabilities into clear, differentiated value propositions that resonate with enterprise decision-makers, technical buyers, and practitioners. You’ll define how we take our products to market, build repeatable messaging and enablement frameworks, and equip our commercial teams to articulate why Mistral is the right partner for organisations adopting AI at scale. Working closely with Product, Engineering, Sales, Solutions, Developer Relations, and Communications, you’ll influence both how our products evolve and how we bring them to market. You’ll help establish the foundations for scaling our enterprise platform business in a rapidly evolving and highly competitive AI landscape. WHAT YOU WILL DO PRODUCT POSITIONING AND MESSAGING - Own positioning and messaging for Mistral’s enterprise products, translating technical capabilities into differentiated value propositions for enterprise customers. - Develop compelling narratives that connect platform functionality to business outcomes, technical requirements, and customer priorities. - Tailor messaging to different audiences, from CIOs and technology leaders to developers, AI engineers, and business stakeholders. - Define our competitive positioning against proprietary AI platforms, hyperscalers, and emerging alternatives, articulating the value of Mistral’s open-weight models, flexibility, and deployment options. - Build a consistent messaging architecture across products, use cases, customer segments, and go-to-market channels. GO-TO-MARKET STRATEGY AND PRODUCT LAUNCHES - Lead go-to-market strategy for new enterprise platform capabilities, from launch planning and audience definition to positioning, activation, and post-launch optimisation. - Partner with Product and Engineering to understand the roadmap, identify market opportunities, and translate product developments into compelling customer propositions. - Identify high-value enterprise use cases and customer segments, developing repeatable GTM plays that support adoption and commercial growth. - Establish clear launch frameworks, working cross-functionally to align Product, Sales, Solutions, Marketing, Communications, and Developer Relations around priorities and execution. - Measure launch effectiveness and product adoption, using customer feedback and performance data to refine positioning and GTM strategy. SALES AND FIELD ENABLEMENT - Equip Sales and Solutions teams with the messaging, assets, and commercial narratives they need to position Mistral’s enterprise platforms effectively. - Develop scalable enablement materials, including use-case playbooks, competitive battlecards, customer presentations, product demos, and objection-handling guides. - Translate customer challenges and technical requirements into compelling business cases that support enterprise evaluation and purchasing decisions. - Partner with field teams to identify recurring customer objections, competitive dynamics, and barriers to adoption, feeding these insights back into product and marketing strategy. - Build repeatable frameworks that help commercial teams communicate platform value consistently across industries, markets, and buyer personas. CONTENT AND CUSTOMER STORYTELLING - Develop a content strategy that brings Mistral’s enterprise platform capabilities to life through product narratives, technical explainers, demonstrations, customer stories, and thought leadership. - Work with Content, Communications, Developer Relations, and Solutions teams to create credible, technically grounded content that resonates with enterprise buyers and practitioners. - Turn customer implementations and emerging use cases into compelling stories that demonstrate measurable business value. - Support integrated campaigns and demand generation initiatives with clear messaging, audience insights, and content tailored to the enterprise buying journey. - Ensure our content connects technical differentiation to the practical realities of deploying and scaling AI in enterprise environments. MARKET INTELLIGENCE AND CUSTOMER INSIGHTS - Develop a strong understanding of enterprise AI adoption, platform buying behaviour, competitive offerings, and emerging customer needs. - Gather insights from customers, prospects, Sales, Solutions, and partners to identify unmet needs, adoption barriers, and opportunities for differentiation. - Build a clear view of the competitive landscape, translating market intelligence into actionable recommendations for product positioning, roadmap priorities, and GTM investments. - Identify emerging enterprise AI use cases and market segments where Mistral can establish a differentiated position. - Track the impact of positioning and GTM initiatives through relevant measures, including product adoption, pipeline influence, sales enablement effectiveness, and launch performance. WHAT WE'RE LOOKING FOR - Deep experience in product marketing, ideally within enterprise software, AI platforms, cloud infrastructure, developer tools, or other technically complex products. - A proven track record of developing differentiated product positioning and messaging that translates technical capabilities into clear customer and business value. - Experience leading product launches and building go-to-market strategies for enterprise technology products, from early positioning through adoption and commercial scale. - Strong understanding of enterprise buying journeys, including technical evaluation, stakeholder alignment, procurement considerations, and the challenges of deploying new technologies at scale. - Ability to engage credibly with technical audiences while communicating effectively with executive and business stakeholders. - Experience partnering closely with Product, Engineering, Sales, Solutions, and other cross-functional teams to drive alignment and execution. - A commercial mindset, with the ability to connect product marketing initiatives to adoption, pipeline development, deal progression, and revenue growth. - Strong competitive and market intelligence skills, with the ability to turn customer and market insights into actionable GTM strategies. - Exceptional written and verbal communication skills, with a talent for simplifying complex concepts into clear, compelling narratives. - A hands-on, proactive approach and the ability to operate independently, navigate ambiguity, and build repeatable processes in a fast-moving environment. NICE TO HAVE - Experience marketing AI platforms, model platforms, cloud infrastructure, or enterprise developer tools. - Familiarity with LLMs, open-weight models, AI deployment architectures, and the practical challenges organisations face when moving AI from experimentation into production. - Experience marketing products to both technical practitioners and enterprise decision-makers. - Understanding of enterprise AI requirements, including security, governance, privacy, scalability, and deployment flexibility. - Experience working in a high-growth technology company where product positioning, GTM strategy, and operating models are still evolving. WHY JOIN MISTRAL? At Mistral, you’ll help shape how organisations adopt and scale AI through products that give them greater choice and control over their technology. You’ll work alongside world-class researchers, engineers, product leaders, and commercial teams to bring ambitious ideas to market. This is an opportunity to have a meaningful impact on our enterprise strategy, build the foundations for repeatable product marketing at scale, and help define how one of Europe’s leading AI companies competes in a global market. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.