Overview of Kibo Ventures
We are a leading European multi-strategy tech investment platform led by experienced operators and investors that have collectively backed over 80 companies. Our mission is to back the most ambitious founders solving global problems. We are driven by the passion our founders bring to their companies, we embrace their vision and are committed to helping them succeed.
Since our founding in 2012, we manage +€500m across six funds, and have invested in some of the most successful companies in Europe, including Flywire (first Spanish company to IPO on Nasdaq); Job\&Talent or Devo (two of Spain’s largest unicorns); and exits to global giants such as Apple, Paypal, Airbnb or Crowdstrike.
Currently, we invest through:
(i) our early-stage VC funds, which hold a portfolio of promising companies founded by top-tier entrepreneurs, with a focus on B2B software and AI at the core; and
(ii) Nzyme,our tech-focused PE fund, that catalyses transformation and growth through roll-ups and the use of technology to impact service-based SMB companies.
Job Description:
The Product Development Program offers a full-time position based in Madrid, Spain and a unique opportunity to build a cutting-edge AI product from the ground up within our firm.
At Kibo Ventures, we aim to operate like a product-driven tech company rather than a traditional fund. We are seeking a developer to lead the creation of our internal product — the Kibo Ventures Intelligence Platform — applying data engineering and AI to source smarter, move faster, and better support our founders and be part of the value creation team that we deploy in some of our companies.
While not central to the role, if you are passionate about investing, you will also have the opportunity to learn and contribute to our investment processes and decisions.
As a small organization, every team member enjoys exceptional exposure, ownership and impact: from working directly with our founders and company managers to building tools core to the entire team. We take pride in fostering growth and supporting each member in advancing their career.
Key responsibilities:
Build the Kibo Ventures Intelligence Platform: You will be in charge of designing and implementing an AI-first system to power sourcing, portfolio monitoring, and decision-making across the firm.
Develop scalable data infrastructure: architect and maintain pipelines that integrate diverse data sources (CRM, portfolio KPIs, market/financial databases, open data, web scraping) into clean, reliable, and queryable datasets.
Leverage AI/ML for insights: prototype and deploy models to identify promising startups, track market trends, and generate actionable investment signals.
Automate internal workflows: streamline processes across investment and operations to improve efficiency, transparency, and collaboration.
Enable data-driven investing: design tools and dashboards that empower the investment team with faster, deeper, and more accurate analysis.
Collaborate with portfolio companies: provide technical insights and, where relevant, support founders with data and AI-related initiatives.
Stay at the frontier of tech: continuously explore emerging technologies, tools, and datasets that can give Kibo Ventures and our companies a competitive edge.
Who You Are
You are a technical profile that has relevant experience developing tech products, launching startups, and you are eager to combine these skills with hands-on experience in VC investing.
Profile
3-4 years of experience in data engineering, ML engineering, or full-stack development with a strong data/AI focus.
Has worked in small agile teams and has managed small teams
Ability to work end-to-end in the development of a Product: from gathering requirements, to architecting solutions, to shipping production-ready tools.
Curiosity for venture capital, startups, and emerging technologies — while investing expertise is not required, an interest in the space is a plus.
Strong problem-solving mindset: able to translate business questions into data products.
Comfortable working in a small, entrepreneurial team with high autonomy and ownership.
Excellent communication skills to collaborate across technical and non-technical stakeholders.
Proficient in spoken and written English
Technical skills
Strong programming skills in Python, LangChain (data engineering, ML/AI prototyping) and familiarity with SQL or other query languages.
Experience designing and maintaining data pipelines, including integration of APIs, databases, and unstructured data sources.
Hands-on experience with cloud platforms (AWS, GCP, or Azure), including serverless computing and containerization (Docker, Kubernetes) and modern data infrastructure (e.g., Airflow, dbt, Snowflake, BigQuery).
Applied experience with LLMs and generative AI (OpenAI, Hugging Face, LangChain, vector databases)
Good knowledge of software engineering best practices: version control (Git), testing, deployment, CI/CD.
Bonus points
Experience with web scraping, NLP, or knowledge graphs.
Exposure to financial data or startup/VC ecosystems.
Prior startup or early-stage product-building experience.