You'll turn Phacet's AI agents into production workflows that finance and operations teams rely on every day.

About Phacet

Phacet is an AI-native platform for finance and operations teams. We build AI agents that automate the work CFOs, finance directors (DAF), and accounting teams spend their days on invoice processing, reconciliation, ledger matching, ERP and accounting-tool integrations, and the long tail of manual operations in between.

We're an early-stage, fast-moving team backed by strong investors, deploying with real finance teams across France. The product is live, customers are paying, we're reaching product-market fit, and the deployment motion is what turns a powerful platform into measurable impact for each client.

The role

As an AI Deployment Strategist, you own client deployments end to end. You'll work directly with finance teams to understand their workflows, configure AI agents, connect their tools, and ensure successful adoption.

You'll become a trusted partner to finance teams, helping them rethink how they operate with AI while bringing Phacet agents into production.

This is a hybrid role at the intersection of solution engineering, product, and customer success. You'll scope the highest-value use cases, design and configure agent workflows, wire up integrations, onboard customers, and stay close enough to the results to make them stick. You'll work directly with our co-founders and alongside a senior AI Deployment Strategist, and everything you learn in the field will feed back into the product roadmap.

What you'll do

• Scope use cases. Sit with finance and operations teams, map their workflows, and identify where Phacet agents create the most value fastest.
• Design agent workflows. Configure, test, and iterate on agent workflows that handle real accounting and finance operations reliably.
• Own integrations. Connect Phacet to clients' accounting and ERP systems (Pennylane, Cegid, Odoo, Sage, QuickBooks, and others), including data backfills and ongoing sync.
• Onboard and drive adoption. Train finance teams, build trust in the agents, and turn early wins into durable, daily usage.
• Guard reliability. Monitor deployments, catch and resolve errors quickly, and raise the quality bar for what "production-ready" means.
• Close the loop with product. Translate field learnings into clear product feedback and shape what we build next.

What we're looking for

• Between 0 and 2 years of experience, open both to engineer/commercial profiles.
• Previous experience in a client-facing role (tech, consulting, implementation, solutions engineering, customer success, etc.), through internships or full-time experience.
• Comfortable talking with clients, understanding their problems, and turning them into practical solutions.
• Comfort with data and technical work: APIs, integrations, structured data, and a willingness to get hands-on. You don't need to be a software engineer, but you're not afraid of a schema or a CSV.