Job Opening: Head of Data & Product at Mosaic Ventures

Who Are We?

Mosaic Ventures is a leading venture capital firm based in London, specializing in early-stage, technology-focused startups across Europe. Our partners bring over 30 years of investment experience from both sides of the Atlantic. Over the years, we have invested in more than 80 companies across 12 countries, collectively creating over $400 billion in value.

Our team is small, collaborative, and driven by a shared passion for uncovering Europe’s most innovative and promising startups. We adopt a thesis-driven approach to investing, with a collective goal to understand how technology creates new markets and transforms existing ones. We engage early with ambitious tech founders who aim to reshape the world in their unique ways.

Who Are We Looking For?

We’re seeking a motivated and resourceful Head of Data & Product to manage our proprietary sourcing, deal flow, Business Intelligence (BI), and automation software. This role involves close collaboration with our team to develop scalable processes for strategic, analytics-driven investment decisions. It also includes conducting analyses to shape our fund strategy and monitor performance.

The ideal candidate will possess a passion for innovation, robust analytical and communication skills, and a proven ability to multitask and deliver impactful results.

Key Responsibilities:

• Lead and advance company-wide Data & Product (D&P) initiatives related to data-augmented investing.
• Develop, maintain, and improve our proprietary software solutions.
• Design and prototype new tools, processes, and microservices.
• Drive team-wide adoption of best practices, software solutions, automation, and data improvements.
• Evaluate and manage relationships with external data providers and tools.
• Create and implement BI solutions to continuously monitor firm activities.
• Collaborate closely with the Lead Software Engineer and investment team to align D&P strategies with business goals.

Requirements:

To be successful in this role, you should have:

• Proven experience as a Technical Product Manager, Data Scientist, or Data Engineer, preferably in startups, leading tech companies, consulting, or the investment sector.
• Experience in the product development lifecycle, feature definition, and collaborating with development teams.
• Proficiency in SQL (e.g., BigQuery, DBT), programming languages (Python, R, or JS), and data visualization tools.
• Advanced skills in Excel/G-Sheets, including creating comprehensive models to address business challenges.
• Exceptional analytical abilities, meticulous attention to detail, proactive approach, and strong problem-solving skills.
• Excellent communication skills, with the ability to present strategy, insights, and recommendations to varied audiences.
• Highly adaptable, team-oriented individual with a low-ego attitude, thriving in small, collaborative settings.
• Experience in advanced statistics, machine learning, and AI, ideally with deploying RAG/LLM-based tools in a business context.

Preferred Qualifications:

• Bachelor’s or Master’s degree in a quantitative field such as Economics, Engineering, or Statistics.
• 5-8 years of relevant experience in roles like Product Owner, Data Scientist, or in growth positions within startups, leading tech companies, or consulting.
• Experience with event-based cloud architecture and APIs.
• Experience with low-code automation tooling.

Additional Requirements:

• Bachelor’s degree in a relevant field such as Computer Science, Data Science, or Business.
• Proven experience in leading data and product teams, preferably within the venture capital or private equity industry.
• Strong analytical skills and the ability to translate complex data into actionable insights.
• Proficiency in data visualization tools and techniques, as well as experience with data analysis and manipulation using programming languages such as Python or R.
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with stakeholders at all levels.
• Strategic mindset with the ability to identify opportunities for growth and improvement.
• Strong organizational and project management skills, with the ability to prioritize and manage multiple tasks simultaneously.
• Passion for technology and startups, with a keen interest