CPTO (Freelance) @Breega

Carbon Maps; Paris; On-site; EUR 120,000 - 180,000; Full time

Job summary

Breega is seeking a CPTO to be the firm’s first in-house AI builder, turning AI into tangible business impact for a leading European VC. You will partner with investment, finance, ops and comms to identify high-value AI use cases, ship practical tools, and drive adoption across the firm.

You will establish data foundations, design pragmatic pipelines, and ensure secure, governed AI that scales with demand. This role demands hands-on engineering, cross-team leadership, and a founder’s mindset.

Qualifications

• 7+ years as senior freelancer or product lead with business impact.
• Builder profile: shipped end-to-end products with measurable results.
• Proven change management experience with non-technical teams.
• Experience in investment funds, banking, or fintech is a plus.
• References from live AI/data projects preferred.
• Strong communication skills to explain complex tech clearly.

Responsibilities

• Define and drive the firm’s AI roadmap with measurable business impact.
• Design and ship cross-team AI agents and workflows.
• Build pragmatic data foundations (lakehouse, RAG) and secure governance.
• Lead change management and adoption, training teams.
• Ensure security, privacy, and compliance across AI tools.
• Oversee stack and vendor integration, cloud architecture.
• Collaborate with Partners and senior stakeholders to prioritize use cases.

Skills

7+ years experience

Builder mindset

Change management

Fintech/investment exp

References AI/data

Strong communication

Tools

BigQuery

GCP

LangChain

Claude API

Python

Job description

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 CPTO, you will be Breega’s first in-house AI builder. Your mission is to turn AI into tangible business impact for a leading European VC firm.

You will work hand in hand with the investment, finance, ops, and comms teams to identify where AI can create the most value, ship AI tools and agents that people actually use, and drive their adoption across the firm. You will set the data foundations (data lakehouse, RAG, integrations) pragmatically, leveraging managed tools and specialized experts whenever advanced engineering is required.

Responsibilities:

Business Impact & Roadmap

• Immerse yourself in each team’s workflows (deal flow, investment memos, portfolio follow-up, LP reporting, finance, ops) to understand where time and value are lost

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

• Define success metrics (time saved, adoption, quality of decisions) and report on the business impact of each initiative

Agentic AI — Cross-team & Team-specific Agents

• Design, prototype and ship cross-functional AI agents with clear business value (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 and usage.

Data Foundations (Data Lake & RAG) — as enablers

• Audit and centralize the firm’s key historical data (documents, financial data, CRM records, emails, meeting notes…)

• Design and deploy a pragmatic data lake on Google Cloud / BigQuery, sized for priority use cases

• Build or oversee ingestion, cleaning, and transformation pipelines (ETL/ELT), leveraging managed tools and external experts where relevant

• Deploy a secure RAG architecture on internal documents and select the appropriate models

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

Change Management & Adoption

• Evangelize AI across the firm and turn early adopters into internal champions

• Run onboarding and training sessions for each team

• 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

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

• Builder and business-oriented profile: ex-founder, early employee or product lead who has shipped products end-to-end with real business impact

• 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

• Hands-on with the AI/LLM ecosystem: RAG, embeddings, agent orchestration (LangChain, LlamaIndex, Claude API…), able to prototype on your own

• Good working knowledge of data engineering: Python, BigQuery, SQL, ETL/ELT pipelines (advanced data / ML engineering can be supported by external experts)

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

• Sound judgment on data architecture, security and build-vs-buy trade-offs

• 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!