At Breega, we back world-class founders for the future. We are not simple investors - we’re entrepreneurs who’ve built, scaled, and learned what it really takes to grow.

Our forte is not just writing checks: it’s rolling up our sleeves - with our Scaling Squad, our portfolio companies get hands-on expertise in hiring, sales, marketing and strategy so they don’t just expand, they dominate.

We partner with outliers rewriting the rules of Digital, Climate, and Deep Tech from pre-Seed to later stage across Europe and Africa.

Since 2015, we’ve grown to €700M AUM, with main offices in London and Paris and deep roots in the most thriving tech hubs across both continents, as well as a portfolio of 110+ bold startups—Exotec, Alice & Bob, Moneybox, 011H, etc—each pushing the boundaries of what’s possible.

Breega Values

• Be caring and constructive: We act with empathy and always provide full and constructive feedback.

• Play for the team: We make decisions as a team and stick to them as a team. We work cross-squads on a daily basis. We play hard.

• Act like a founder: As founders we work hard and are bold. We understand the highs and lows of the journey. We are by your side at each step.

• Win or Learn: We have a growth & performance mindset. We test, learn, iterate and improve. Always.

• Invest today for impact tomorrow: We invest our time, effort, and focus to make Breega and every business we back impactful.

High Level mission:

As a Chief Product & Technology Officer, you will spearhead the end-to-end technical execution, change management, and documentation required to build an AI-native internal infrastructure from scratch for a leading European VC firm. By architecting a robust data lake, advanced RAG pipelines, and multi-team agentic workflows, you will industrialize the firm's data assets to unlock measurable value across all operational teams.

Responsibilities:

Data Lake & Architecture

• Audit and centralize all historical company data (documents, financial data, CRM records, emails, meeting notes…)

• Design and deploy a data lake on Google Cloud / BigQuery tailored to a VC firm's workflows

• Build ingestion, cleaning, and transformation pipelines (ETL/ELT)

Vectorization & RAG

• Orchestrate the vectorization of unstructured documents and data

• Deploy a performant and secure RAG (Retrieval-Augmented Generation) architecture

• Select appropriate embedding and generation models (Claude, OpenAI, open-source)

• Ensure data confidentiality and access segmentation by team and by fund
  

Agentic AI — Cross-team & Team-specific Agents

• Design and deploy cross-functional AI agents (deal flow, portfolio monitoring, LP relations)

• Build team-specific agents: investment, finance, ops, comms

• Integrate agents into existing tools: Affinity, Google Workspace, Slack

• Maintain, iterate, and improve agents based on user feedback

Change Management & Adoption

• Run onboarding and training sessions for each team

• Identify high-ROI use cases and prioritize the roadmap with stakeholders

• Document new agentic processes and support their adoption across teams

• Specifically train the Head of Finance on deployed AI tools and workflows
  

Security, Governance and Documentation

• Identify risks, control AI usage/connection related to risks

• Write and maintain procedure manuals and runbooks for each agent and pipeline

• Implement clear data governance (access control, versioning, audit trail, GDPR compliance)

• Ensure ongoing maintenance and evolution of the full technical stack

Stack & Environment:

• Collaboration: Google Workspace (Drive, Gmail, Docs, Sheets, Meet)

• CRM & Deal Flow: Affinity CRM

• Data & Cloud: BigQuery, Google Cloud Platform

• AI & LLM: Claude (Anthropic), Python, LangChain / LlamaIndex

• Communication: Slack

• Other: TBD based on candidate expertise

Competencies:

Ideal Background

• Senior freelance or independent consultant — 7+ years of experience

• Proven track record in change management with non-technical teams

• Previous experience in investment funds, banking, or fintech is a strong advantage

• References on live AI/data projects (demos or documented case studies preferred)

• Strong communication skills — ability to make complex technical concepts accessible

Technical Skills

• Strong command of the AI/LLM ecosystem: RAG, embeddings, agent orchestration (LangChain, LlamaIndex, Claude API…)

• Solid data engineering background: Python, BigQuery, SQL, ETL/ELT pipelines

• Experience with Google Cloud Platform (GCP) and Google Workspace

• Ability to design secure and scalable data architectures

• Knowledge of CRM tools and their AI integrations (Affinity is a plus)

Recruitment Process

• HR interview with HR (Anissa Bacar, Senior People Manager)

• Interview with Benjamin Deplus, Partner / Sébastien, Partner

• Business case with Arnaud and Benjamin Deplus, Partner

• Last focus interviews with Ben Marrel or Maximilien Bacot, Co-founder

• 2 reference checks calls
  

Research has shown that women are less likely than men to apply for a role if they don’t have experience in 100% of the requirements outlined in a job description. Please know that if it's your case but you think you could do a great job - you are excited about technology investing, meeting brilliant founders and want to take part in shaping tomorrow’s world - we’d love to hear from you!