About The Role 💻

We are looking for a senior, hands-on AI & Data Science Director to lead the next phase of Clarity AI’s applied AI evolution. This role sits at the intersection of data science, generative AI, platform thinking, and organizational leadership.

You will provide senior technical and people leadership to a team that must continue delivering on classical data science priorities while increasingly incorporating LLM-based and generative AI capabilities into products and internal workflows.

This is a high-impact role for someone who combines strong machine learning fundamentals with current, practical experience in GenAI, and who can translate that expertise into team structure, execution discipline, and business outcomes.

What You’ll Be Doing 🚀

As AI & Data Science Director, you will be responsible for:

• AI & Data Science Strategy: Defining and evolving the company’s AI strategy across traditional machine learning, experimentation, evaluation, and generative AI applications.
• Technical Leadership: Acting as the senior technical anchor for the function, ensuring the team applies strong scientific thinking, robust experimentation practices, and sound engineering judgment.
• GenAI Adoption: Identifying where LLMs, agents, and related tooling can materially improve products, workflows, and team leverage, while avoiding hype-driven decisions.
• Ecosystem Building: Creating the environment, tooling patterns, and ways of working that allow teams with mixed seniority to build and operate AI solutions effectively.
• Team Leadership & Development: Coaching and developing emerging leaders and strong individual contributors, while helping define the right long-term organizational structure.
• Cross-functional Translation: Bridging product, engineering, platform, and executive stakeholders to ensure AI initiatives are actionable, aligned, and well-prioritized.
• Organizational Stabilization: Providing the seniority and leadership depth needed during a period of team transition and leadership change.
• Selective Hiring: Helping calibrate and attract senior profiles who combine machine learning depth, strong judgment, and practical exposure to modern GenAI systems.

Location 🌍

The role is based in our tech hub in Madrid, Spain, but we are remote-friendly and open to the CET timezone +/- 2 hours.

Way of Working: Remote/Hybrid 

What You’ll Need 👀

• Strong ML Foundation: Deep grounding in classical machine learning, experimentation, modeling, and scientific reasoning. This is not a GenAI-only profile.
• Practical GenAI Experience: Hands-on familiarity with LLMs, agentic patterns, evaluation approaches, and the rapidly evolving GenAI tooling ecosystem.
• Senior Leadership Experience: Proven experience leading senior technical teams, shaping organizations, and operating as a trusted partner to executive leadership.
• System-Building Mindset: Ability to create the ecosystem, processes, and technical direction that enable more junior team members to execute effectively.
• Product & Business Judgment: Strong ability to connect technical decisions with business priorities, product constraints, and execution realities.
• People Skills: Ability to build trust, challenge constructively, and lead both upwards and downwards in a demanding environment.
• High Adaptability: Comfort operating in fast-changing, ambiguous environments with high expectations and evolving priorities.
• Excellent Communication: Strong written and verbal English, with the ability to communicate clearly with technical and non-technical stakeholders.

What We Offer 🥁

• Competitive compensation, including base salary and equity.
• Flexibility in ways of working, including remote and hybrid options.
• The opportunity to shape a strategically critical AI function at a pivotal moment for the company.
• High ownership, high impact, and close collaboration with senior leadership.
• A mission-driven environment where your work will influence how sustainability intelligence is delivered at scale.

About The Role 💻 

We are looking for a Staff AI Engineer who thrives at the intersection of rapid experimentation and agile product development. In this role, you will be the bridge between the latest AI developments and tangible product impact. You aren't just following a roadmap; you are helping define it by proving what is possible with the latest frontier models and architectures. You will be responsible for the "quality loop": moving from a promising proof-of-concept to a highly reliable, optimized, and validated product.

What You’ll Be Doing 🚀

As a Staff AI engineer, you will be responsible for:

• Product-Centric Development: Designing and executing experiments to improve GenAI capabilities. This isn't just about "accuracy" in a vacuum—it's about optimizing for user value, reliability, and cost-effectiveness.
• Evaluation Systems: Building the "Golden Path" for quality. You will design and implement robust, multi-dimensional evaluation suites (e.g., using "LLM-as-a-judge," semantic checks, and unit tests) to ensure our features are production-ready and hallucination-resistant.
• Advanced RAG & Reasoning Optimization: Moving beyond "naive RAG." You will implement and tune advanced retrieval strategies (e.g., hybrid search, reranking, agentic retrieval) and optimize complex reasoning loops (e.g., CoT, ReAct) to make our current and future agents smarter and more reliable.
• Production-Grade Model Tuning: Leading the strategy for when, and if, to move beyond simple prompting. You will oversee supervised fine-tuning (SFT) and Parameter-Efficient Fine-Tuning (LoRA) workflows to adapt models to our specific product domains.
• Performance & Cost Engineering: Balancing the "Quality-Cost-Latency" triangle. You will find ways to maintain high-quality outputs while optimizing token usage and reducing inference latency.

Location 🌍 

The role is based in our tech hub in Madrid, Spain, but we are remote-friendly and open to the CET timezone +/- 2 hours.
Way of Working: Remote/Hybrid

What You’ll Need 👀

• Applied MLE Background: You have a proven track record of shipping Machine Learning functionality in a product-focused environment. You prefer "what works in practice" over "what works in theory."
• Bleeding-Edge Awareness: You are a "first adopter" of new AI technologies. You are intimately familiar with the trade-offs between frontier models and know how to swap or hybridize them for maximum impact.
• Experimental & Analytical Mindset: You understand the importance of controlled experiments. You know how to design a benchmark, create a "Gold Dataset," and use data to prove that a new prompt or model is an actual improvement.
• Practical LLM Expertise: Deep, hands-on experience with LLM orchestration, vector databases, and evaluation frameworks.
• Technical Stack Mastery: Expert-level Python and experience writing production-grade code.
• Product Mindset: You think about the user. You can identify when a model’s behavior might be technically correct but results in a poor user experience, and you know how to iterate to improve it.
• Experience: 5+ years of experience in ML or Software Engineering roles, with at least 2+ years of hands-on experience building and scaling GenAI/LLM-powered features.
• Self-starter, able to take ownership and initiative, with high energy and stamina
• Decisive and action-oriented, able to make rapid decisions even when they are short of information
• Highly motivated, independent and deeply passionate about sustainability and impact
• Excellent oral and written English communication skills (minimum C1 level-proficient user)

Nice To Have ✨

• Experience in a start-up
• Cloud AI Ecosystem: Familiarity with managed GenAI platforms and services such as OpenAI, Anthropic, AWS Bedrock, or GCP Vertex AI.
• Active Builder Credentials: A portfolio or GitHub showcasing side projects that experiment with the latest AI paradigms (e.g., multi-agent systems, local LLM execution, etc.).

What We Offer 🥁

• Competitive compensation, both in terms of base salary as well as equity plans that enable to you to share in our success
• Flexibility in ways of working both in terms of your schedule as well as your location, whether you prefer to work from home, the office, or abroad with access to a global network of co-working spaces 
• Generous paid time off schemes, including vacation, sabbatical, religious observance and compensation days
• Meaningful benefits including private healthcare coverage, fitness and wellness programs covered through Wellhub, working-from-home allowances to help you set up your home office and cover monthly expenses
• Professional development with annual training budget for conferences, courses, certifications and access to top market e-learning platforms
• Collaborative environment with multiple offices around the globe, regular team activities and events as well as employee-led resource groups