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
Intermedia is looking for a Senior Software Engineer Backend to join our organization.
In this role, you will design and build the backend services, APIs, and data capabilities that power intuitive analytics, visualizations across Intermedia's products.
You will help transform complex product and customer data into reliable, performant, and easily consumable information that enables users to understand trends, identify opportunities, and make better decisions.
You will work closely with frontend engineers, AI/ML engineers, data engineers, product managers, and UX teams to bring sophisticated insights into compelling customer experiences. This is a great opportunity for an experienced backend
engineer who enjoys solving complex data and distributed systems challenges and wants to help redefine how customers interact.
What You Will Be Doing
• Design, develop, test, and maintain scalable backend services and APIs that power analytics, dashboards and visualizations.
• Build services that process, aggregate, enrich, and serve structured and unstructured data for interactive analytics experiences.
• Develop APIs and data services optimized for efficient consumption by dashboards, visualizations, reporting interfaces, and other customer-facing experiences.
• Build backend capabilities that enable users to explore, filter, compare, drill into, and understand complex datasets and insights.
• Partner closely with frontend engineers and UX teams to define service interfaces and data structures that enable intuitive, responsive visualization experiences.
• Work with data engineers to establish reliable data flows between source systems, analytical platforms, visualization services, and downstream applications.
• Collaborate with product managers and engineering teams to translate customer and business needs into scalable technical solutions.
• Contribute to technical design decisions for backend services, analytics APIs, data models, processing workflows, caching strategies, and integrations.
• Design systems that deliver timely and accurate analytics while maintaining appropriate data quality and consistency.
• Optimize data access, aggregation, and service performance to support responsive and interactive customer experiences.
• Design backend capabilities that can support both predefined analytics experiences and more dynamic exploration of data.
• Analyze and improve the performance, scalability, reliability, and maintainability of analytics 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, analytics workflows, data processing, and frontend integrations.
• Build appropriate monitoring, logging, testing, and observability into production services.
• Collaborate with DevOps and platform teams to support reliable deployment and operation of Analytics Visualizations services.
• Stay current with emerging technologies and engineering approaches related to analytics, data visualization, data processing, and backend development.
• Participate in continuous improvement initiatives that enhance product performance, reliability, customer experience, 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.
•
5+ 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 service-
oriented applications.
• Solid understanding of software design principles, data structures, algorithms, and
distributed systems concepts.
• Experience working with relational and/or NoSQL databases.
• Experience designing applications that process, transform, aggregate, or serve significant
volumes of data.
• Experience developing backend services or APIs that support data-rich, interactive
applications.
• Experience building and supporting scalable, reliable production applications.
• Understanding of data modeling, aggregation, filtering, querying, and other patterns
commonly used in analytics applications.• Working knowledge of cloud platforms such as
AWS or Azure
and cloud-based
application architectures.
• Familiarity with automated testing, CI/CD, source control, and modern software
development practices.
• Strong understanding of application performance and the ability to optimize services and
data access for responsive user experiences.
• Strong problem-solving skills and the ability to independently investigate and resolve
complex technical issues.
• Strong communication and collaboration skills with the ability to work effectively across backend, frontend, data, UX, and product 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.
Are you ready to make your mark?
About the Role
Intermedia is looking for a Senior Software Engineer Backend to join our organization.
In this role, you will design and build the backend services, APIs, and data capabilities that power intuitive analytics, visualizations across Intermedia's products.
You will help transform complex product and customer data into reliable, performant, and easily consumable information that enables users to understand trends, identify opportunities, and make better decisions.
You will work closely with frontend engineers, AI/ML engineers, data engineers, product managers, and UX teams to bring sophisticated insights into compelling customer experiences. This is a great opportunity for an experienced backend
engineer who enjoys solving complex data and distributed systems challenges and wants to help redefine how customers interact.
What You Will Be Doing
• Design, develop, test, and maintain scalable backend services and APIs that power analytics, dashboards and visualizations.
• Build services that process, aggregate, enrich, and serve structured and unstructured data for interactive analytics experiences.
• Develop APIs and data services optimized for efficient consumption by dashboards, visualizations, reporting interfaces, and other customer-facing experiences.
• Build backend capabilities that enable users to explore, filter, compare, drill into, and understand complex datasets and insights.
• Partner closely with frontend engineers and UX teams to define service interfaces and data structures that enable intuitive, responsive visualization experiences.
• Work with data engineers to establish reliable data flows between source systems, analytical platforms, visualization services, and downstream applications.
• Collaborate with product managers and engineering teams to translate customer and business needs into scalable technical solutions.
• Contribute to technical design decisions for backend services, analytics APIs, data models, processing workflows, caching strategies, and integrations.
• Design systems that deliver timely and accurate analytics while maintaining appropriate data quality and consistency.
• Optimize data access, aggregation, and service performance to support responsive and interactive customer experiences.
• Design backend capabilities that can support both predefined analytics experiences and more dynamic exploration of data.
• Analyze and improve the performance, scalability, reliability, and maintainability of analytics 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, analytics workflows, data processing, and frontend integrations.
• Build appropriate monitoring, logging, testing, and observability into production services.
• Collaborate with DevOps and platform teams to support reliable deployment and operation of Analytics Visualizations services.
• Stay current with emerging technologies and engineering approaches related to analytics, data visualization, data processing, and backend development.
• Participate in continuous improvement initiatives that enhance product performance, reliability, customer experience, 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.
•
5+ 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 service-
oriented applications.
• Solid understanding of software design principles, data structures, algorithms, and
distributed systems concepts.
• Experience working with relational and/or NoSQL databases.
• Experience designing applications that process, transform, aggregate, or serve significant
volumes of data.
• Experience developing backend services or APIs that support data-rich, interactive
applications.
• Experience building and supporting scalable, reliable production applications.
• Understanding of data modeling, aggregation, filtering, querying, and other patterns
commonly used in analytics applications.• Working knowledge of cloud platforms such as
AWS or Azure
and cloud-based
application architectures.
• Familiarity with automated testing, CI/CD, source control, and modern software
development practices.
• Strong understanding of application performance and the ability to optimize services and
data access for responsive user experiences.
• Strong problem-solving skills and the ability to independently investigate and resolve
complex technical issues.
• Strong communication and collaboration skills with the ability to work effectively across backend, frontend, data, UX, and product 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: 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 States
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
Transport Back Office Specialist
Employment Type: Full-Time
Experience: 2+ Years Required
About the Role
The Transport Back Office Specialist provides essential administrative and operational support to the
transport team. The role is centred around processing invoices from carriers and vendors, managing
their approval flow in ZIP, maintaining shipment and financial documentation, and keeping shipment
statuses up to date in relevant systems. The specialist is expected to be organized, detail-oriented, and
proactive in following up on outstanding items to ensure nothing falls through the cracks.
Key Responsibilities
Invoice Processing & Payment Follow-Up
• Receive and process invoices from carriers, freight forwarders, customs brokers, and other
transport vendors.
• Enter invoices into ZIP accurately, ensuring correct coding, cost allocation, and supporting
documentation.
• Track invoice approval status in ZIP and proactively follow up with internal approvers to keep
the process moving.
• Liaise with the finance and accounting teams to ensure approved invoices are paid on time.
• Investigate and resolve discrepancies between invoices and agreed rates or contracts, escalating
complex cases to the Transport Manager as needed.
• Maintain an up-to-date log of outstanding invoices and payment statuses, flagging overdue
items.
Document Management & Filing
• Collect, organise, and file all transport-related documentation, including invoices, proof of
delivery, customs documents, shipping instructions, and carrier correspondence.
• Ensure documents are stored accurately in the relevant systems (TMS, Jira, shared drives, or
equivalent) and are readily accessible for audit or operational review.
• Maintain documentation standards and naming conventions to support compliance and internal
audit requirements.
• Support the team during audits or compliance reviews by retrieving and compiling required
records.
Shipment Status Updates
• Monitor active shipments and update shipment statuses in the relevant tracking systems (TMS,
Jira, or equivalent) based on information received from carriers and the transport team.
• Flag delays, exceptions, or missing updates to the responsible Transport Specialist or Manager.
• Ensure shipment records are complete and accurate from booking through to final delivery
confirmation.
• Coordinate with carriers and vendors to obtain status updates or missing documentation where
needed.
Administrative Support to the Transport Team
• Provide general administrative support to the transport team, including preparation of reports,
data entry, and correspondence with external partners.
• Assist in maintaining vendor contact lists, rate cards, and contract reference documents.
• Support the onboarding of new carriers or vendors by collecting required documentation and
setting them up in relevant systems.
• Identify recurring administrative bottlenecks and suggest process improvements to increase
efficiency.
Requirements
• 2+ years of experience in a logistics, transport, or supply chain back-office or administrative role.
• Hands-on experience processing invoices and managing payment workflows, ideally using ZIP or
a similar accounts payable or procurement platform.
• Familiarity with transport management systems (TMS), Jira, or similar tools used for shipment
tracking and documentation.
• Strong organizational skills and attention to detail — able to manage multiple open items
simultaneously without losing track.
• Proactive follow-up skills; comfortable chasing approvers, vendors, and carriers to keep
processes on schedule.
• Good understanding of transport and freight documentation (invoices, PODs, customs
paperwork, etc.).
• Proficient in Microsoft Excel or Google Sheets for tracking, reporting, and data management.
• Clear written communication skills in English; able to correspond professionally with internal
teams and external partners.
• Ability to work independently and manage own workload with minimal supervision.
Nice to Have
• Experience supporting international freight operations, including familiarity with customs
documentation.
• Background in a technology, data center, or hardware logistics environment.
• Experience with ERP systems (SAP, Oracle, NetSuite, or similar) in a logistics context
Pay Transparency
We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
Base Compensation Range
$80,000
—
$90,000 USD
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: London
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.
THE ROLE
As a Senior AI Deployment Strategist, you will bridge the gap between vision and execution, ensuring our customers not only see the potential of AI but realize its value in their operations. This role is a unique blend of strategic advisory and hands-on deployment leadership, spanning both presales and postsales phases. You will act as a trusted advisor to C-suite executives, architecting AI solutions that drive transformation and delivering measurable business outcomes.
You will be embedded in our most strategic accounts, diagnosing business challenges, designing AI-powered solutions, and leading their deployment from concept to full-scale adoption. This role demands a rare combination of executive presence, technical credibility, and commercial acumen, with a focus on both winning and delivering high-impact AI initiatives.
WHAT YOU WILL DO
Strategic Advisory & C-Suite Partnership
• Serve as the lead strategic advisor for a portfolio of high-value enterprise clients, building trusted relationships with executive leadership (CEO, CTO, CIO).
• Lead C-suite workshops to diagnose business drivers and co-create multi-year AI transformation roadmaps aligned with corporate strategy.
• Develop and present compelling business cases and proposals, articulating the ROI of AI adoption and the value of Mistral’s platform.
Presales: Shaping the Vision
• Partner with sales and product teams to identify and qualify opportunities, positioning Mistral’s solutions as the catalyst for enterprise transformation.
• Design tailored AI strategies and proof-of-concepts that address critical business challenges and demonstrate tangible value.
• Act as a subject matter expert in client engagements, ensuring our solutions are understood, trusted, and adopted.
Postsales: Driving Deployment & Adoption
• Own the end-to-end success of AI deployments, from strategic planning to operational integration, ensuring solutions are embedded into the customer’s core workflows.
• Lead cross-functional teams of engineers, data scientists, and product managers to execute deployment roadmaps and deliver measurable results.
• Navigate organizational complexity and drive change management to ensure seamless adoption and long-term success.
Commercial Growth & Thought Leadership
• Identify and cultivate expansion opportunities within accounts, connecting Mistral’s capabilities to new business challenges and driving commercial growth.
• Mentor junior strategists and contribute to the development of best practices, methodologies, and playbooks for customer engagement.
• Represent Mistral AI as a thought leader through speaking engagements, executive briefings, and industry contributions.
WHAT WE'RE LOOKING FOR
• You have 8+ years of experience in technical management consulting, enterprise technology, or a customer-facing strategic role, with a focus on AI/ML, data architecture, or digital transformation.
• You hold a degree in a relevant scientific field (e.g., Computer Science, Data Science, Engineering, etc.)
• You possess a deep, practical expertise in AI/ML concepts, enterprise data architecture, and modern software development with hands-on development of AI solutions—enough to credibly engage with technical teams and executives alike.
• You have a proven track record of engaging and influencing C-suite executives, with the ability to navigate complex conversations and align AI strategies with business objectives.
• You excel at structuring ambiguous problems into actionable programs and thrive in fast-paced, high-stakes environments.
• You are equally comfortable in presales and postsales: shaping deals, designing solutions, and ensuring their successful deployment.
• You have experience managing high-value accounts, understanding deal mechanics, and building compelling cases for investment.
• You are a collaborative leader who can motivate cross-functional teams and drive results through influence, not authority.
We are looking for adaptable, low-ego team players who are passionate about turning AI vision into reality and delivering transformative impact for our customers.
Hiring Process
• Talent Acquisition screening call
• 30min Hiring Manager Interview
• 45min Business Acumen Interview
• 60min Technical Deep Dive on LLMs
• Panel (Home Prep & Restitution)
• 30min Value Talk
• Reference check
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.
Location: Munich
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.
THE ROLE
As a Senior AI Deployment Strategist, you will bridge the gap between vision and execution, ensuring our customers not only see the potential of AI but realize its value in their operations. This role is a unique blend of strategic advisory and hands-on deployment leadership, spanning both presales and postsales phases. You will act as a trusted advisor to C-suite executives, architecting AI solutions that drive transformation and delivering measurable business outcomes.
You will be embedded in our most strategic accounts, diagnosing business challenges, designing AI-powered solutions, and leading their deployment from concept to full-scale adoption. This role demands a rare combination of executive presence, technical credibility, and commercial acumen, with a focus on both winning and delivering high-impact AI initiatives.
WHAT YOU WILL DO
Strategic Advisory & C-Suite Partnership
• Serve as the lead strategic advisor for a portfolio of high-value enterprise clients, building trusted relationships with executive leadership (CEO, CTO, CIO).
• Lead C-suite workshops to diagnose business drivers and co-create multi-year AI transformation roadmaps aligned with corporate strategy.
• Develop and present compelling business cases and proposals, articulating the ROI of AI adoption and the value of Mistral’s platform.
Presales: Shaping the Vision
• Partner with sales and product teams to identify and qualify opportunities, positioning Mistral’s solutions as the catalyst for enterprise transformation.
• Design tailored AI strategies and proof-of-concepts that address critical business challenges and demonstrate tangible value.
• Act as a subject matter expert in client engagements, ensuring our solutions are understood, trusted, and adopted.
Postsales: Driving Deployment & Adoption
• Own the end-to-end success of AI deployments, from strategic planning to operational integration, ensuring solutions are embedded into the customer’s core workflows.
• Lead cross-functional teams of engineers, data scientists, and product managers to execute deployment roadmaps and deliver measurable results.
• Navigate organizational complexity and drive change management to ensure seamless adoption and long-term success.
Commercial Growth & Thought Leadership
• Identify and cultivate expansion opportunities within accounts, connecting Mistral’s capabilities to new business challenges and driving commercial growth.
• Mentor junior strategists and contribute to the development of best practices, methodologies, and playbooks for customer engagement.
• Represent Mistral AI as a thought leader through speaking engagements, executive briefings, and industry contributions.
WHAT WE'RE LOOKING FOR
• You have 8+ years of experience in technical management consulting, enterprise technology, or a customer-facing strategic role, with a focus on AI/ML, data architecture, or digital transformation.
• You hold a degree in a relevant scientific field (e.g., Computer Science, Data Science, Engineering, etc.)
• You possess a deep, practical expertise in AI/ML concepts, enterprise data architecture, and modern software development with hands-on development of AI solutions—enough to credibly engage with technical teams and executives alike.
• You have a proven track record of engaging and influencing C-suite executives, with the ability to navigate complex conversations and align AI strategies with business objectives.
• You excel at structuring ambiguous problems into actionable programs and thrive in fast-paced, high-stakes environments.
• You are equally comfortable in presales and postsales: shaping deals, designing solutions, and ensuring their successful deployment.
• You have experience managing high-value accounts, understanding deal mechanics, and building compelling cases for investment.
• You are a collaborative leader who can motivate cross-functional teams and drive results through influence, not authority.
We are looking for adaptable, low-ego team players who are passionate about turning AI vision into reality and delivering transformative impact for our customers.
Hiring Process
• Talent Acquisition screening call
• 30min Hiring Manager Interview
• 45min Business Acumen Interview
• 60min Technical Deep Dive on LLMs
• Panel (Home Prep & Restitution)
• 30min Value Talk
• Reference check
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.
Location: Paris
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.
THE ROLE
As a Senior AI Deployment Strategist, you will bridge the gap between vision and execution, ensuring our customers not only see the potential of AI but realize its value in their operations. This role is a unique blend of strategic advisory and hands-on deployment leadership, spanning both presales and postsales phases. You will act as a trusted advisor to C-suite executives, architecting AI solutions that drive transformation and delivering measurable business outcomes.
You will be embedded in our most strategic accounts, diagnosing business challenges, designing AI-powered solutions, and leading their deployment from concept to full-scale adoption. This role demands a rare combination of executive presence, technical credibility, and commercial acumen, with a focus on both winning and delivering high-impact AI initiatives.
WHAT YOU WILL DO
Strategic Advisory & C-Suite Partnership
• Serve as the lead strategic advisor for a portfolio of high-value enterprise clients, building trusted relationships with executive leadership (CEO, CTO, CIO).
• Lead C-suite workshops to diagnose business drivers and co-create multi-year AI transformation roadmaps aligned with corporate strategy.
• Develop and present compelling business cases and proposals, articulating the ROI of AI adoption and the value of Mistral’s platform.
Presales: Shaping the Vision
• Partner with sales and product teams to identify and qualify opportunities, positioning Mistral’s solutions as the catalyst for enterprise transformation.
• Design tailored AI strategies and proof-of-concepts that address critical business challenges and demonstrate tangible value.
• Act as a subject matter expert in client engagements, ensuring our solutions are understood, trusted, and adopted.
Postsales: Driving Deployment & Adoption
• Own the end-to-end success of AI deployments, from strategic planning to operational integration, ensuring solutions are embedded into the customer’s core workflows.
• Lead cross-functional teams of engineers, data scientists, and product managers to execute deployment roadmaps and deliver measurable results.
• Navigate organizational complexity and drive change management to ensure seamless adoption and long-term success.
Commercial Growth & Thought Leadership
• Identify and cultivate expansion opportunities within accounts, connecting Mistral’s capabilities to new business challenges and driving commercial growth.
• Mentor junior strategists and contribute to the development of best practices, methodologies, and playbooks for customer engagement.
• Represent Mistral AI as a thought leader through speaking engagements, executive briefings, and industry contributions.
WHAT WE'RE LOOKING FOR
• You have 8+ years of experience in technical management consulting, enterprise technology, or a customer-facing strategic role, with a focus on AI/ML, data architecture, or digital transformation.
• You hold a degree in a relevant scientific field (e.g., Computer Science, Data Science, Engineering, etc.)
• You possess a deep, practical expertise in AI/ML concepts, enterprise data architecture, and modern software development with hands-on development of AI solutions—enough to credibly engage with technical teams and executives alike.
• You have a proven track record of engaging and influencing C-suite executives, with the ability to navigate complex conversations and align AI strategies with business objectives.
• You excel at structuring ambiguous problems into actionable programs and thrive in fast-paced, high-stakes environments.
• You are equally comfortable in presales and postsales: shaping deals, designing solutions, and ensuring their successful deployment.
• You have experience managing high-value accounts, understanding deal mechanics, and building compelling cases for investment.
• You are a collaborative leader who can motivate cross-functional teams and drive results through influence, not authority.
We are looking for adaptable, low-ego team players who are passionate about turning AI vision into reality and delivering transformative impact for our customers.
Hiring Process
• Talent Acquisition screening call
• 30min Hiring Manager Interview
• 45min Business Acumen Interview
• 60min Technical Deep Dive on LLMs
• Panel (Home Prep & Restitution)
• 30min Value Talk
• Reference check
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.
Location: Intellias
Meet your recruiter
Daniela Riabova
daniela.riabova@intellias.com
https://www.linkedin.com...
Vacancy details
AI/ML Engineering
GenAI Engineer
Senior
Poland
Remote
APPLY NOW
REFER A FRIEND
A leading German distributor of building materials, the company serves construction professionals and private customers through an extensive network of branches and showrooms. It offers a comprehensive range of products and services for residential construction and renovation, providing a convenient one-stop shop for its customers.
What project we have for you
For an innovative AI project in the retail sector, we are seeking an experienced AI Engineer (m/f/d) to support the development and implementation of an AI-powered pricing model.
The aim of the project is to link internal and external data sources and, using machine learning and neural networks, generate dynamic, AI-based price recommendations for individual items. This is intended to optimise pricing decisions and unlock additional margin potential.
The technological foundation is a prototype that has already been successfully developed and implemented by international colleagues in collaboration with Microsoft. The existing solution is to be transferred to the company’s own data environment, adapted and further developed.
The data model, as well as existing Python code and notebooks within Azure Databricks, are already in place. Working alongside the in-house data science team, you will be responsible for developing, training and validating a proprietary AI model based on these resources. As the project progresses, the solution will be integrated with the ERP system to provide automated price and terms suggestions for operational staff.
What you will do
• Further development and customisation of an existing AI pricing prototype based on Azure Databricks
• Analysis and processing of internal and external data sources
• Development and implementation of neural networks and machine learning models
• Development, training and validation of proprietary AI models
• Implementation and optimisation of AI models using Python
• Use and processing of Large Language Models (LLMs) and prompt engineering
• Porting existing models to the company’s own data and system landscape
• Collaboration with the internal data science team and international project stakeholders
• Supporting the integration of the developed solution into the existing ERP system
What you need for this
At least
2–3 years’ practical project experience in AI engineering or similar AI projects
• Very good knowledge of
Azure Databricks
• Very good knowledge of Python
• Substantial experience in machine learning and deep learning
• Practical experience in the development, training and validation of neural networks
• Experience working with Large Language Models (LLMs) and prompt engineering
• Experience in the development and implementation of AI models in real-world business environments
• Ability to translate business requirements into technical models and solutions
• An independent and structured approach to work, as well as good communication skills
•
knowledge of German required (B1/B2)
• Occasional on-site attendance in Dortmund (approx. 2–3 appointments per quarter)
Nice-to-have:
• Experience in the retail sector
• Experience with pricing models and predictive analytics
• Experience integrating AI solutions into ERP systems
What it’s like to work at Intellias
At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth.
We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law.
We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.
Разработка, обучение и оптимизация моделей машинного обучения для решения прикладных бизнес-задач; Разработка решений на базе LLM и VLM, включая мультимодальные системы обработки текста и изображений;
Задачи:
— Управление AI/ML и ИТ-проектами в области цифровизации казначейских функций
— Внедрение ИИ
— Методологическая поддержка и реинжиниринг
— Управление данными и процессами автоматизации
— Взаимодействие с вендором, ИТ и другими подразделениями
Требования:
— Опыт работы по направлению развития и внедрения технологий
— Работа с инструментами генеративного AI (Claude, ChatGPT и их аналогами, в том числе российскими)
— Опыт работы с системами визуализации процессов (BPMN и другие)
— Понимание технических процессов казначейства для повышения эффективности казначейской функции (построение дэшбордов, метрик, микроавтоматизация, роботизация)
— Успешный практический опыт участия в проектах по внедрению ИИ в финансах, настройки ИИ-агентов для аналитических, исследовательских или операционных задач
— Опыт работы с IT/NLP-командами, участие в пилотировании моделей, понимание жизненного цикла IT-проекта от гипотезы до продушена
— Опыт участия в реализации проектов цифровизации/автоматизации и внедрения ИИ-инструментов на всем цикле жизни от концепции до поддержки
— Участие в подготовке презентаций инициатив руководству, подготовке обоснований, защите бюджетов и отчетности по эффективности проектов
— Участие в расчетах экономического эффекта от внедрения технологических решений
— Понимание процессов корпоративного казначейства
Условия:
— Срочный трудовой договор до июня 2027 года
— Работа в "Норникель Спутник" — аккредитованной ИТ-компании
— Гибридный график работы
— Профессиональный и карьерный рост
— ДМС, включая стоматологию
— Участие в корпоративных мероприятиях (командные виды спорта, турниры по киберспорту и т.д.)
• Разработка и поддержка веб‑приложений на Python и React. • Проектирование и внедрение AI‑функций: интеграции LLM, RAG‑пайплайны, AI‑ассистенты и поиск по базе знаний.
География найма не уточнена
УдалённоUnited Kingdom
ОфисseniorPortugal
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seniorLondon; 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
seniorMunich; 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
seniorParis; 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
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