327 AI & Emerging Technologies jobs in Saudi Arabia
Machine Learning Engineer - Riyadh
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Overview
Join to apply for the Machine Learning Engineer - Riyadh role at Mozn .
About Mozn Mozn is a rapidly growing technology firm revolutionising the field of Artificial Intelligence and Data Science headquartered in Riyadh, Saudi Arabia and it’s working to realise Vision 2030 with a proven track record of excellence in supporting and growing the tech ecosystem in Saudi Arabia and the GCC region. Mozn is the trusted AI technology partner for some of the largest government organizations, as well as many large corporations and startups. We are in an exciting stage of scaling the company to provide AI-powered products and solutions both locally and globally that ensure the growth and prosperity of our digital humanity. It is an exciting time to work in the field of AI to create a long-lasting impact.
The RoleWe are seeking a talented Machine Learning Engineer to join our growing team. As a Machine Learning Engineer, you will play a pivotal role in optimizing ML models for efficient training and inference, deploying deep learning models in specialized hardware for inference usage, monitoring the performance and latency of deployed models, and maintaining ML infrastructure.
Responsibilities- Designing, building, supporting, and scaling our cloud and/or on-premise ML infrastructure.
- Deploying deep learning models in production environments and optimizing their performance for inference on either GPU or CPU.
- Maintaining our infrastructure (on-prem and cloud) and preparing it for training and inference purposes.
- Monitoring deployed ML models for their performance, latency, and throughput using automated tools for monitoring and reporting.
- Evaluating and improving data science processes, identifying opportunities for automation, efficiency, and scalability.
- Collaborating with other teams, including product managers, data scientists, software engineers, data annotators, and business stakeholders, to ensure successful deployments of ML models.
- Staying up to date with the latest trends and advancements in ML engineering, ML models, and applying this knowledge to enhance the team’s capabilities.
- Exploring and learning new technologies that can complement or replace our current stack to improve it.
- Bachelor's or Master's degree in Computer Science or a related field.
- +2 years of experience in a similar role.
- Proficiency in Arabic language (Native Arabic speaker) is a must.
- Proficiency in one or more programming languages (e.g., Python, C, C++) with the ability to learn new languages.
- Experience with relational databases, including SQL queries, database definition, and schema design.
- Experience with deploying Deep learning frameworks (e.g. Tensorflow, Pytorch, Onnx) in production environments using inference frameworks (e.g. Nvidia Triton, TFXServing, TorchServe).
- Uphold best practices and principles around clean code, version control, testing, continuous integration and continuous deployment.
- Effective communication skills to convey technical solutions to end-users.
- Experience with monitoring ML models and reporting tools (e.g. grafana, and/or promethues).
- Experience with containerization technologies (e.g. Docker) is highly preferred.
- Experience with distributed computing systems is a plus.
- Experience with cloud platforms (e.g. AWS, GCP, OCI) is a plus.
- Knowledge of big data platforms like kafka, hadoop, and spark is a plus.
- You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.
- You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.
- The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best.
- You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.
- We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.
- Seniority level: Entry level
- Employment type: Full-time
- Job function: Engineering and Information Technology
- Industries: Software Development
Riyadh, Riyadh, Saudi Arabia
#J-18808-LjbffrSenior Data Scientist / Senior ML Engineer
Posted today
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Overview
Who Are We
We Are Foodics! a leading restaurant management ecosystem and payment tech provider. Founded in 2014 with headquarter in Riyadh and offices across 5 countries, including UAE, Egypt, Jordan and Kuwait. We are currently serving customers and partners in over 35 different countries worldwide. Our innovative products have successfully processed over 6 billion (yes, billion with a B) orders so far! making Foodics one of the most rapidly evolving SaaS companies to ever emerge from the MENA region. Also Foodics has achieved three rounds of funding, with the latest raising $170 million in the largest SaaS funding round in MENA, boosting its innovation capabilities to better serve business owners.
The Job in a Nutshell
You will lead the design, development, and deployment of ML/AI/GenAI models that power core Foodics products (e.g., pricing, personalization, fraud detection). You’ll collaborate with Data Engineers, Product Managers, and Platform teams to deliver production-grade models with real impact.
Responsibilities- Own end-to-end ML model lifecycle: problem framing, data exploration, training, deployment, monitoring.
- Design and develop scalable solutions using classical ML and GenAI techniques.
- Implement MLOps best practices: versioning, reproducibility, monitoring, CI/CD for models.
- Collaborate with squads and platform teams to ensure reusability and adherence to standards.
- Mentor junior ML engineers and contribute to the internal ML knowledge base.
- Integrate models with APIs and backend services as needed.
- Embrace and enforce a "you build it, you run it" approach, owning the full lifecycle of ML models from development through monitoring and continuous improvement.
- 5+ years’ experience in applied ML, AI, or data science.
- Strong proficiency in Python and ML/AI libraries (e.g., scikit-learn, PyTorch, TensorFlow, XGBoost, HuggingFace Transformers).
- Experience with MLOps tools (e.g., MLflow, SageMaker) and managing versioning, testing, and observability.
- Deep understanding of model development workflows including feature engineering, hyperparameter tuning, model evaluation, and A/B testing.
- Deep understanding of statistical modeling, statistical inference, and the appropriate application of statistical tests (e.g., t-test, chi-square, ANOVA, regression analysis); ability to interpret results and communicate implications to both technical and non-technical audiences.
- Proven track record of deploying ML models in production at scale.
- Knowledge of ML best practices including bias mitigation, explainability (e.g., SHAP, LIME), and model monitoring for drift and fairness.
- Strong understanding of data pipelines, experimentation, and model evaluation.
- Familiarity working in a cloud-native environment (AWS preferred) with CI/CD, GitOps, and IaC tools (e.g., Terraform, CDK).
- Hands-on experience with GenAI / LLM integration (e.g., RAG, fine-tuning, embeddings, prompt engineering) and tools such as LangChain, LangGraph, or LlamaIndex.
We believe you will love working at Foodics!
- We have an inclusive and diverse culture that encourages innovation.
- We offer highly competitive compensation packages, including bonuses and the potential for shares.
- We prioritize personal development and offer regular training and an annual learning stipend to tackle new challenges and grow your career in a hyper-growth environment.
- Join a talented team of over 30 nationalities working in 14 countries, and gain valuable experience in an exciting industry.
- We offer autonomy, mentoring, and challenging goals that create incredible opportunities for both you and the company.
Data & AI Consultant
Posted 1 day ago
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Overview
Location: Riyadh - hybrid working available
Compensation: 30,000 SAR / Month
The role: This will be a crucial hire into the team, working directly alongside the Director of KSA to build out the company's presence in KSA, after successfully scaling globally.
You will be involved in the complete end-to-end activities, from Pre-Sales to Project Implementation. The business works across different industries, therefore, you will get exposure across Retail, Logistics, Energy, Healthcare, Manufacturing + more.
They also offer a complete service offering from Consulting (Data Strategy, Data Management, Data Governance) to Implementation (Analytics, AI & ML) to Product & Solutions (SaaS, PaaS, iPaaS, Data Platforms).
Key Experience Required- Experience in Pre-Sales - specifically responding to RFPs and RFIs
- A broad understand & professional experience across the Data Lifecycle, from Data Management, to Analytics & AI
- Knowledge of Saudi Frameworks & Guidelines, including NDMO and DGA
- Fluent in Arabic (Must have) and an excellent communicator
If interested, please apply below with your CV.
Seniority level- Mid-Senior level
- Full-time
- Information Technology
- IT Services and IT Consulting
AI Product Manager (Technical)
Posted 1 day ago
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Overview
Job Title: AI Product Manager (Technical) – Native Arabic Speaker
We are seeking an experienced AI Product Manager with a solid technical foundation to lead AI product strategy, execution, and rapid prototyping. In this role, you will work across product, engineering, and business teams to define vision, deliver impactful AI-driven solutions, and quickly craft Proof of Concepts (POCs) to validate ideas.
This position requires a native Arabic speaker who can navigate both technical and business discussions fluently, manage diverse tasks, and adapt to high-paced, high-impact environments.
Responsibilities- Define and own the vision, strategy, and roadmap for AI-driven products and features.
- Collaborate with engineers, data scientists, and designers to deliver scalable AI solutions.
- Rapidly build and iterate quick POCs to validate ideas before full-scale development.
- Translate business requirements into technical specifications and product plans.
- Manage product lifecycle — from ideation to launch and post-launch optimization.
- Work closely with stakeholders to align AI initiatives with business objectives.
- Ensure compliance with ethical AI guidelines, transparency, and data privacy standards.
- Act as the bridge between Arabic-speaking clients and technical teams for clarity and precision.
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field.
- Native Arabic speaker with excellent English proficiency.
- 3+ years in product management, preferably in AI, ML, or data-driven products.
- Strong understanding of AI/ML workflows, model evaluation, and deployment.
- Proven ability to deliver quick technical prototypes (e.g., using Python, APIs, cloud AI services).
- Strong analytical, problem-solving, and communication skills.
- Experience working in fast-paced, agile environments.
- Hands-on experience with LLMs, generative AI, computer vision, or speech-to-text solutions .
- Familiarity with tools such as OpenAI, Groq, Hugging Face, Azure Cognitive Services, or MLFlow .
- Preferred : Ability to leverage AI tools to rapidly build working prototypes.
- Background in UX for AI or human-in-the-loop systems.
- Experience in B2B and B2C AI product delivery.
- Prior startup or high-growth company experience.
AI Product Manager / Customer Care - Chatbot
Posted 1 day ago
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Overview
AI Product Manager / Customer Care - Chatbot role at Unifonic. Proudly voted a Great Place to Work, we are a dynamic startup in the SaaS space revolutionizing the way businesses communicate. Our team is made up of 500 Unifones delivering the best possible experience to 5000+ customer-centric companies.
As part of the Engineering team, you will be instrumental in defining and leading the vision, strategy, and execution of AI-powered solutions that elevate customer experiences, turning emerging technologies into customer-centric products that deliver measurable business value.
Responsibilities- Owning and maintaining the AI product roadmap, balancing innovation with business priorities while aligning with organizational goals.
- Leading the development of AI/ML-powered solutions, working closely with data scientists, engineers, and cross-functional teams to deliver scalable, high-impact products.
- Translating complex AI concepts into clear business outcomes, ensuring alignment between technical capabilities and customer needs.
- Conducting customer and market research (interviews, competitive analysis, trend tracking) to uncover opportunities for AI-driven innovation.
- Defining and monitoring success metrics and KPIs, using data-driven insights to iterate on features and optimize performance.
- Managing the full product lifecycle from ideation, prototyping, and backlog prioritization to testing, deployment, and scaling.
- Ensuring products are built with ethical AI principles, adhering to fairness, transparency, and data privacy best practices.
- Partnering with customer-facing teams to gather feedback, validate solutions, and drive adoption.
- 4+ years of product management experience with a proven track record of delivering successful products.
- 1+ years leading AI initiatives or strong experience with data-driven products and demonstrated interest in AI/ML.
- Solid understanding of AI technologies, including LLMs, generative AI, NLP, and automation frameworks.
- Hands-on experience with AI prototyping tools, APIs, and developer ecosystems.
- Ability to translate customer and business needs into technical requirements and prioritize effectively.
- Strong data-driven mindset with experience defining KPIs and leveraging analytics to guide product decisions.
- Bachelor’s or Master’s degree in Engineering, Computer Science, or a related field (or equivalent experience).
- Excellent communication and presentation skills for engaging stakeholders, executives, and customers.
- Ability to shift seamlessly between strategic vision and tactical execution.
- Experience working in fast-paced SaaS or startup environments.
- Previous experience in customer service platforms or conversational marketing.
- Competitive salary and bonus.
- Unifonic share scheme (we are all owners!).
- 30 holiday days after the first anniversary.
- Your Birthday off!
- Spend up to 25 days per year working from anywhere in the world!
- Paid leave for new parents.
- LinkedIn learning license.
- Seniority level: Mid-Senior level
- Employment type: Full-time
- Job function: Product Management and Marketing
Riyadh, Riyadh, Saudi Arabia
#J-18808-LjbffrAI Platform Product Manager
Posted 2 days ago
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Job Description
About the Role
As an AI Platform Product Manager, you’ll be central in transforming customer needs into scalable features. You’ll focus on product research, planning, and operational execution while managing technically oriented tasks related to APIs, AI-powered workflows, and system integrations. You'll collaborate closely with the VP of Product to ensure smooth execution and delivery across web and mobile platforms with top-tier UX/UI.
Key Responsibilities- Collect and prioritize feature requests from users, sales feedback, and industry insights.
- Conduct market research and benchmarking focused on API platforms, AI capabilities (e.g., LLMs, RAG, vector search), and UX in trust-tech solutions.
- Write detailed user stories and acceptance criteria for APIs (REST/GraphQL), webhooks, SDKs, and AI-driven features.
- Assist in prioritizing features with the VP of Product and engineering leads, ensuring alignment with product strategy.
- Manage roadmap planning, adjusting priorities based on market shifts and real-time feedback.
- Maintain a well-structured and prioritized product backlog.
- Oversee the release process of new features using CI/CD practices.
- Lead internal testing sessions to validate functionality, usability, and accessibility.
- Use analytics tools like Mixpanel to assess feature performance and guide improvements.
- Keep detailed product documentation up to date, including API references, wireframes, and release notes.
- Collaborate with marketing and customer success teams for effective product rollouts and communication.
At least 3 years of experience in product management within a B2B SaaS environment. Proven track record of delivering API-first or platform-based products, with the ability to understand OpenAPI/Swagger specs. Familiarity with AI technologies (e.g., LLMs, prompt engineering, evaluation frameworks) and experience productizing them. Strong UX/UI background, including skills in wireframing and prototyping with tools like Figma or Miro. Deep understanding of agile methodologies and tools (e.g., Jira, Confluence). Capable of conducting competitive research and deriving actionable insights. Highly organized with strong attention to detail and operational efficiency. Excellent communication skills for working across teams and functions. Customer-centric mindset focused on delivering high-value solutions. Fluent in English and Arabic. Technical background is a plus, but the ability to collaborate effectively with engineers is essential.
#J-18808-LjbffrStaff Machine Learning Engineer
Posted 2 days ago
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Job Description
About the role
We are seeking a talented hands-on Staff Machine Learning Engineer to lead one of ML Engineering teams at OSOS. The ideal candidate is a native Arabic speaker with a strong foundation in AI and machine learning, a record of building and deploying real-world AI systems. As a Staff Machine Learning Engineer, you will play a pivotal role in optimizing ML models for efficient training and inference, deploying deep learning models in specialized hardware for inference usage, monitoring the performance and latency of deployed models, responsible for inference and serving the pipelines, and maintaining ML infrastructure.
What you'll do- Leading a multidisciplinary team of ML engineers working on advanced Arabic language solutions and products
- Designing, building, supporting, and scaling our cloud and/or our on-premise ML infrastructure
- Deploying deep learning models in production environments and optimizing their performance for inference on either GPU or CPU
- Maintaining our infrastructure (on-prem and cloud) and preparing it for training and inference purposes
- Monitoring deployed ML models for their performance, latency, and throughput using automated tools for monitoring and reporting
- Evaluating and improving data science processes, identifying opportunities for automation, efficiency, and scalability
- Collaborating with other teams, including product managers, data scientists, software engineers, data annotators, and business stakeholders, to ensure successful deployments of ML models.
- Guide the team in using best practices in ML engineering, software design, testing, versioning, and deployment for AI products
- Staying up to date with the latest trends and advancements in ML engineering, ML models, and applying this knowledge to enhance the team’s capabilities
- Exploring and learning new technologies that can complement or replace our current stack to improve it.
- Ensure the team adopts modern ML tooling and infrastructure, including vector databases, orchestration tools, and scalable APIs
- Bachelor's or master's degree in computer science or a related field
- +8 years of experience in a similar role
- Proficiency with MLOps tools, CI/CD pipelines for ML, and scalable backend architecture
- Proficiency in Arabic language (Native Arabic speaker) is a must
- Proficiency in one or more programming languages (e.g., Python, C, C++) with the ability to learn new languages
- Experience with relational databases, including SQL queries, database definition, and schema design
- Experience with deploying Deep learning frameworks (e.g. Tensorflow, Pytorch, Onnx) in production environments using inference frameworks (e.g. Nvidia Triton, TFXServing, TorchServe)
- Uphold best practices and principles around clean code, version control, testing, continuous integration and continuous deployment
- Effective communication skills to convey technical solutions to end-users
- Experience with monitoring ML models and reporting tools (e.g. grafana, and/or promethues)
- Experience with containerization technologies (e.g. Docker) is highly preferred
- Experience with distributed computing systems is a plus
- Experience with cloud platforms (e.g. AWS, GCP, OCI) is a plus
- Knowledge of big data platforms like kafka, hadoop, and spark is a plus
- Experience managing remote or distributed teams
- You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space
- You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best
- The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best
- You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI
- We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves
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AI Product Manager / Customer Care - Chatbot
Posted 2 days ago
Job Viewed
Job Description
Proudly voted a Great Place to Work, we are a dynamic startup in the SaaS space that is revolutionizing the way businesses communicate. Our team is made up of 500 energetic and passionate Unifones who are dedicated to delivering the best possible experience to 5000+ customer-centric companies.
We pride ourselves on our fun and collaborative work environment, where creativity and new ideas are constantly encouraged. As shareholders in the business, we’re so much more than a group of passionate communicators. We are Unifones. Join our team and be a part of something big!
Meet the team!
Our Engineering team is responsible for designing, developing, and maintaining the systems and technologies that drive Unifonic’s solutions. We work closely with other departments to ensure our products and services meet the needs of our customers. If you are passionate about technology and are excited about working on cutting-edge communication and engagement solutions, we want you on our team.
As an AI Product Engineer / Customer Care - Chatbot, you will be instrumental in defining and leading the vision, strategy, and execution of AI-powered solutions that elevate customer experiences. You’ll play a key role in transforming emerging technologies—such as Large Language Models (LLMs), generative AI, and automation—into customer-centric products that deliver measurable business value.
Help us shape the future of communication by:
Owning and maintaining the AI product roadmap, balancing innovation with business priorities while aligning with organizational goals.
Leading the development of AI/ML-powered solutions, working closely with data scientists, engineers, and cross-functional teams to deliver scalable, high-impact products.
Translating complex AI concepts into clear business outcomes, ensuring alignment between technical capabilities and customer needs.
Conducting customer and market research (interviews, competitive analysis, trend tracking) to uncover opportunities for AI-driven innovation.
Defining and monitoring success metrics and KPIs, using data-driven insights to iterate on features and optimize performance.
Managing the full product lifecycle from ideation, prototyping, and backlog prioritization to testing, deployment, and scaling.
Ensuring products are built with ethical AI principles, adhering to fairness, transparency, and data privacy best practices.
Partnering with customer-facing teams to gather feedback, validate solutions, and drive adoption.
What you'll bring:
4+ years of product management experience with a proven track record of delivering successful products.
1+ years leading AI initiatives or strong experience with data-driven products and demonstrated interest in AI/ML.
Solid understanding of AI technologies, including LLMs, generative AI, NLP, and automation frameworks.
Hands-on experience with AI prototyping tools, APIs, and developer ecosystems.
Ability to translate customer and business needs into technical requirements and prioritize effectively.
Strong data-driven mindset with experience defining KPIs and leveraging analytics to guide product decisions.
Bachelor’s or Master’s degree in Engineering, Computer Science, or a related field (or equivalent experience).
Excellent communication and presentation skills for engaging stakeholders, executives, and customers.
Ability to shift seamlessly between strategic vision and tactical execution.
Experience working in fast-paced SaaS or startup environments.
Previous experience in customer service platforms or conversational marketing.
As a Unifone you will receive a range of benefits:
Competitive salary and bonus.
Unifonic share scheme (we are all owners!).
30 holiday days after the first anniversary.
Your Birthday off!
Spend up to 25 days per year working from anywhere in the world!
Paid leave for new parents.
LinkedIn learning license.
AI Product Manager / Customer Care - Chatbot
Posted 2 days ago
Job Viewed
Job Description
Proudly voted a Great Place to Work, we are a dynamic startup in the SaaS space that is revolutionizing the way businesses communicate. Our team is made up of 500 energetic and passionate Unifones who are dedicated to delivering the best possible experience to 5000+ customer-centric companies.
We pride ourselves on our fun and collaborative work environment, where creativity and new ideas are constantly encouraged. As shareholders in the business, we’re so much more than a group of passionate communicators. We are Unifones. Join our team and be a part of something big!
Meet the team!
Our Engineering team is responsible for designing, developing, and maintaining the systems and technologies that drive Unifonic’s solutions. We work closely with other departments to ensure our products and services meet the needs of our customers. If you are passionate about technology and are excited about working on cutting-edge communication and engagement solutions, we want you on our team.
As an AI Product Engineer / Customer Care - Chatbot, you will be instrumental in defining and leading the vision, strategy, and execution of AI-powered solutions that elevate customer experiences. You’ll play a key role in transforming emerging technologies—such as Large Language Models (LLMs), generative AI, and automation—into customer-centric products that deliver measurable business value.
Help us shape the future of communication by:
Owning and maintaining the AI product roadmap, balancing innovation with business priorities while aligning with organizational goals.
Leading the development of AI/ML-powered solutions, working closely with data scientists, engineers, and cross-functional teams to deliver scalable, high-impact products.
Translating complex AI concepts into clear business outcomes, ensuring alignment between technical capabilities and customer needs.
Conducting customer and market research (interviews, competitive analysis, trend tracking) to uncover opportunities for AI-driven innovation.
Defining and monitoring success metrics and KPIs, using data-driven insights to iterate on features and optimize performance.
Managing the full product lifecycle from ideation, prototyping, and backlog prioritization to testing, deployment, and scaling.
Ensuring products are built with ethical AI principles, adhering to fairness, transparency, and data privacy best practices.
Partnering with customer-facing teams to gather feedback, validate solutions, and drive adoption.
What you'll bring:
4+ years of product management experience with a proven track record of delivering successful products.
1+ years leading AI initiatives or strong experience with data-driven products and demonstrated interest in AI/ML.
Solid understanding of AI technologies, including LLMs, generative AI, NLP, and automation frameworks.
Hands-on experience with AI prototyping tools, APIs, and developer ecosystems.
Ability to translate customer and business needs into technical requirements and prioritize effectively.
Strong data-driven mindset with experience defining KPIs and leveraging analytics to guide product decisions.
Bachelor’s or Master’s degree in Engineering, Computer Science, or a related field (or equivalent experience).
Excellent communication and presentation skills for engaging stakeholders, executives, and customers.
Ability to shift seamlessly between strategic vision and tactical execution.
Experience working in fast-paced SaaS or startup environments.
Previous experience in customer service platforms or conversational marketing.
As a Unifone you will receive a range of benefits:
Competitive salary and bonus.
Unifonic share scheme (we are all owners!).
30 holiday days after the first anniversary.
Your Birthday off!
Spend up to 25 days per year working from anywhere in the world!
Paid leave for new parents.
LinkedIn learning license.
AI Product Manager / Customer Care - Chatbot
Posted 2 days ago
Job Viewed
Job Description
Proudly voted a Great Place to Work, we are a dynamic startup in the SaaS space that is revolutionizing the way businesses communicate. Our team is made up of 500 energetic and passionate Unifones who are dedicated to delivering the best possible experience to 5000+ customer-centric companies.
We pride ourselves on our fun and collaborative work environment, where creativity and new ideas are constantly encouraged. As shareholders in the business, we’re so much more than a group of passionate communicators. We are Unifones. Join our team and be a part of something big!
Meet the team!
Our Engineering team is responsible for designing, developing, and maintaining the systems and technologies that drive Unifonic’s solutions. We work closely with other departments to ensure our products and services meet the needs of our customers. If you are passionate about technology and are excited about working on cutting-edge communication and engagement solutions, we want you on our team.
As an AI Product Engineer / Customer Care - Chatbot, you will be instrumental in defining and leading the vision, strategy, and execution of AI-powered solutions that elevate customer experiences. You’ll play a key role in transforming emerging technologies—such as Large Language Models (LLMs), generative AI, and automation—into customer-centric products that deliver measurable business value.
Help us shape the future of communication by:
Owning and maintaining the AI product roadmap, balancing innovation with business priorities while aligning with organizational goals.
Leading the development of AI/ML-powered solutions, working closely with data scientists, engineers, and cross-functional teams to deliver scalable, high-impact products.
Translating complex AI concepts into clear business outcomes, ensuring alignment between technical capabilities and customer needs.
Conducting customer and market research (interviews, competitive analysis, trend tracking) to uncover opportunities for AI-driven innovation.
Defining and monitoring success metrics and KPIs, using data-driven insights to iterate on features and optimize performance.
Managing the full product lifecycle from ideation, prototyping, and backlog prioritization to testing, deployment, and scaling.
Ensuring products are built with ethical AI principles, adhering to fairness, transparency, and data privacy best practices.
Partnering with customer-facing teams to gather feedback, validate solutions, and drive adoption.
What you'll bring:
4+ years of product management experience with a proven track record of delivering successful products.
1+ years leading AI initiatives or strong experience with data-driven products and demonstrated interest in AI/ML.
Solid understanding of AI technologies, including LLMs, generative AI, NLP, and automation frameworks.
Hands-on experience with AI prototyping tools, APIs, and developer ecosystems.
Ability to translate customer and business needs into technical requirements and prioritize effectively.
Strong data-driven mindset with experience defining KPIs and leveraging analytics to guide product decisions.
Bachelor’s or Master’s degree in Engineering, Computer Science, or a related field (or equivalent experience).
Excellent communication and presentation skills for engaging stakeholders, executives, and customers.
Ability to shift seamlessly between strategic vision and tactical execution.
Experience working in fast-paced SaaS or startup environments.
Previous experience in customer service platforms or conversational marketing.
As a Unifone you will receive a range of benefits:
Competitive salary and bonus.
Unifonic share scheme (we are all owners!).
30 holiday days after the first anniversary.
Your Birthday off!
Spend up to 25 days per year working from anywhere in the world!
Paid leave for new parents.
LinkedIn learning license.