O pozici
Your wellbeing, our mission. Join a company shaping a healthier world.
GET TO KNOW US
At Wellhub we're revolutionizing workplace wellness. Our platform connects employees worldwide to the best partners for fitness, mindfulness, therapy, nutrition, and sleep—all in one simple subscription. Headquartered in NYC with team members in Europe, North America and South America, we’re on a mission to make every company a wellness company.
We believe work should be fulfilling, inspiring, and balanced. Here, you’ll find a team that values wellbeing, collaboration, and different perspectives, where passion and creativity push boundaries to create real impact. Your contributions will help shape a healthier, more balanced world for you and millions of people globally.
Join us in redefining the future of wellbeing!
Co budeš dělat
- Build and maintain high-quality LookML models, ensuring the semantic layer is enriched with accurate labels, descriptions, synonyms, and business logic that AI tools — including Looker Conversational Analytics and external LLMs — can reliably consume;
- Design and configure domain-focused Data Agents with well-structured instructions, Golden Queries, and scoped context governance to deliver accurate and trustworthy conversational analytics;
- Develop and maintain CI/CD pipelines that automate metadata governance, including AI-assisted description generation, DDL synchronization, and semantic consistency checks;
- Build reusable AI skills, tools, and workflows that allow analysts and stakeholders to interact with governed data through natural language interfaces;
- Partner with Data Analysts, Data Engineers, and business stakeholders to translate vague or poorly defined business questions into well-defined, measurable data models and agent instructions;
- Identify opportunities to improve the quality and reliability of AI-generated insights by improving context structure, metadata coverage, and semantic layer precision;
- Develop recommendations and drive improvements to data standards, processes, and definitions;
- Contribute to cross-team guidelines and best practices for responsible AI usage with data.
Koho hledáme
- 3-5+ years of relevant work experience in analytics engineering, data modeling, or a closely related field;
- Excellent SQL skills required;
- Proficiency in Python — comfortable writing and maintaining production-grade scripts and automation pipelines, not just exploratory code;
- Hands-on experience with a semantic layer or BI modeling tool (LookML/Looker, dbt Semantic Layer, or equivalent);
- Practical understanding of how Large Language Models consume structured context: field-level metadata, descriptions, synonyms, and prompt design;
- Experience designing context for AI agents : writing system instructions, scoping agent boundaries or contributing to agent skill frameworks;
- Experience building or maintaining CI/CD pipelines for data artifacts (GitHub Actions, dbt CI, or similar);
- Significant exposure to complex data pipelines, data modeling, and data architecture;
- Comfortable with AI-assisted development workflows: using AI coding tools, crafting Golden Queries, and building or configuring skills for data agents;
- Must be comfortable with unstructured, fast-moving, and constantly evolving high-growth environments;
- Strong execution and ownership — able to drive technical work end-to-end from ambiguous problem to reliable solution;
Benefity
- Competitive compensation package;
- Generous paid time off — 25 days PTO, plus company holidays and a paid Wellness Day;
- Health and wellness benefits including coverage for medical, dental, and vision care (for US employees);
- Flexible working model: 100% remote, with support and resources to help you succeed;
- A dedicated learning and development stipend — €1,500/year to use on courses, books, certifications, conferences, or anything that supports your growth;
- A personalized development roadmap, and explore internal opportunities. We focus on continuous learning and feedback to support your journey toward personal and professional success.
