CPTO (Freelance) @Breega

CPTO (Freelance) @Breega Join us 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! Department Join Breega Locations Paris Remote status Hybrid Employment type Contract Applicant tracking system by Teamtailor