Scale a Profitable Embedded Finance Platform. Real AI in Production. Clear Path to CTO.numi is exclusively retained to find a VP of Engineering for a top-tier B2B fintech. Profitable. Fast-growing. $100M+ annualised revenue. Backed by Tier-1 global banks and growth equity.The company has just completed a replatforming — moving from a legacy stack to a distributed, API-first Capital Platform. Now it’s entering the next phase: moving from good infrastructure to great execution — and unlocking 10x growth in the process.
This role is the scale-up phase. The roadmap is aggressive.
* Reporting to a product-led CPTO, you will lead a global org of 90+ engineers across the UK and India (scaling to 120+ in 2025).
* The platform is already processing hundreds of thousands funding offers/month. 85% of all underwriting decisions are made by AI.
* Gen-AI agents (built on Google Gemini) are live and unlocking new automation curves.
* Your remit is to shift the org from replatforming to impactful delivery — tightening delivery loops, raising engineering quality, and building platform leverage.
You’ll lead teams deploying generative agents, ML-powered decisioning, and predictive pricing engines in production — at scale. The platform ingests 100M+ data points/month and is built for extensibility across products and geos.
What you’ll do
* Lead and scale a high-performing engineering team across time zones
* Own the platform architecture and evolve it for speed, modularity, and AI-native capabilities
* Act as the technical counterbalance to a CPTO — driving clarity, performance, and principled trade-offs
* Raise the hiring bar — immediately adding 15–20 engineers for Q1 product launches
* Ensure engineering excellence and velocity become Liberis’ product advantage
Tech stack
* Distributed microservices, API-first
* .NET / Python backend, Next.js frontend
* GCP + Azure across infrastructure and ML
* MLOps + AI tooling: Gemini, Claude, Co-pilot, Cursor, Langchain
You
* You’ve scaled high-growth B2B or fintech platforms. You know what great engineering orgs look like — and how to build them.
* You lead 50–100+ engineers, but still have the technical range to challenge Staff+ Engineers on architecture.
* You’re fluent in distributed systems, real-time data pipelines, and modern CI/CD. You care about clean abstractions, performance, and craft.
* You’ve built in high-velocity, product-led environments — not command/control bureaucracies.
* You’ve managed distributed teams across India and the UK and know how to maintain culture, autonomy, and speed.
Why this?
* Real platform. Real AI. Real customers. This isn’t innovation theatre. It’s live, scaled, and profitable.
* C-suite trajectory. For the right candidate, this is a 24-month runway to CTO.
* Exit path is clear. Multiple strategic options (IPO or M&A) targeted within 4 years — and a team already executing at investor-grade maturity.
Why Apply?
* The company is profitable with a clear exit horizon (IPO/M&A within 4 years).
* You won’t just talk about AI; you will manage a platform where Generative AI agents are already making live credit decisions.
* A clear pathway to C-Suite leadership for high performers.