Basé sur 12 offres pour ce poste (tous niveaux, France, 3 dernières semaines). Fourchette habituelle 48k€–73k€, médiane 73k€. Cette offre (90k€) est au-dessus de la fourchette.
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.
Lydia - CEO: HEC graduate, 7 years at BCG (Principal), expert in strategy, innovation, and consumer goods
Camille - CTO: Dual degree X/HEC, former lead at CO2 AI, expert in AI and scalable product development
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
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
Frontend: TypeScript, React, Tailwind, shadcn
Backend: Python, FastAPI, SQLAlchemy
Infra: Vercel, Railway, Supabase → AWS
AI: LLM orchestration, STT/TTS pipelines, eval systems (rapidly evolving)
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