Founding Engineer Verso Backed By Hexa H/F - collectivite

Important information

Contract type: Permanent contract

Salary: 90000

Location: Paris, France

Starting date:

Urgent

Work mode: Hybrid

Published on: 25 March 2026

What they need

Job description

Verso is building the Consumer Intelligence OS.

We replace traditional qualitative research agencies with an AI-native platform that conducts, analyzes, and compounds consumer conversations at scale. Instead of one-off studies, companies get a continuous, structured understanding of their customers.

Our ambition is to make consumer insight a real-time, always-on system embedded in every product and marketing decision.

We're starting with AI-moderated interviews - but this is just the entry point. The long-term product is a system of record for consumer understanding, powered by agentic workflows.

Backed by Hexa (eFounders), behind Aircall, Front, Spendesk, Yousign and 50+ others.

Verso is founded by an experienced team with a strong track record in strategy, technology, and company building.

- CEO: HEC graduate, 7 years at BCG (Principal), expert in strategy, innovation, and consumer goods

- CTO: Dual degree X/HEC, former lead at CO2 AI, expert in AI and scalable product development

The role

You will join Verso as a Founding Engineer to own systems end-to-end from infrastructure to product, with no strict boundaries - and help define engineering standards, observability, and the foundations of the team.

You will design and scale a coherent AI system end-to-end, at the intersection of agents, data, and product:

- An AI interviewer interacting with users at scale (voice & video), sustaining long-form conversations with high reliability
- Agent systems (state, memory, evaluation loops) orchestrating complex interactions
- Real-time and async pipelines transforming multimodal data (video, audio, text) into structured, actionable insights
- A client platform to explore these insights through an AI-native interface
- Data systems to structure, query, and reuse qualitative knowledge at scale
- Optimization of latency, cost, and performance across LLM, TTS, STT
- Reliability of long-running AI workflows in production

What makes this role unique

- You will build production-grade AI systems, not prototypes
- You will work on long-form, high-stakes interactions, not short prompts
- You will design systems where AI quality is as critical as system reliability
- You will operate at the intersection of AI, data, infrastructure, and product

Current stack

- Frontend: TypeScript, React, Tailwind, shadcn
- Backend: Python, FastAPI, SQLAlchemy
- Infra: Vercel, Railway, Supabase AWS
- AI: LLM orchestration, STT/TTS pipelines, eval systems (rapidly evolving)

Profile wanted

Profile

We're flexible on background, but we're looking for people with a strong builder mindset.

- Some seniority (not straight out of school), but not necessarily 10+ years - 2-3 years in a strong environment is enough
- Experience in early-stage or high-ownership environments
- Strong bias toward action, autonomy, and ownership

We heavily overweight mindset over credentials:

- Product and user-first thinking
- Pragmatism and speed
- Optimism and resilience
- High intellectual honesty
- Strong drive

On hard skills, although Python and Typescript is a good +, but we don't optimize for specific languages. What matters is:

- Ability to design and scale production systems
- Comfort with ambiguity and messy real-world problems
- Ideally some exposure to AI / agentic systems in production (but not required)

TL;DR: we're looking for people who are sharp, driven, and with whom we could realistically build a company.

Preferred Experience

- Building production-grade AI systems on messy, real-world data (not demos)
- Owning systems end-to-end (architecture production iteration)
- Experience with complex systems (real-time, pipelines, or LLM-based products)
- Strong intuition for trade-offs: latency, cost, quality, reliability
- Motivation to build a category-defining company with long-term ownership

Why Join

- Category shift: we're turning consumer understanding into a continuous system - not just improving research workflows
- Hard problems: production AI over multimodal, unstructured data (audio, video, text, structured), across:

- a B2C product (low latency, high scale)
- a B2B platform (enterprise-grade reliability, security, integrity)
- Full ownership: architecture, product, and execution from day one
- Meaningful equity: early-stage package with strong upside (next fundraise soon)
- Hexa environment: access to top-tier talent, resources, and a strong builder ecosystem

• Python
• Intelligence artificielle
• AWS
• TypeScript