Founding Product Engineer

About this position

At Mondrio, we’re on a mission to build the future of pricing: agentic pricing management. We believe that monetization should be data-driven rather than a one-time exercise. It should evolve as products, markets, or sales motions change. Our AI-native platform equips companies to bring that pricing intelligence into strategy and deal decisions. About Mondrio Mondrio is a fast-growing Seed stage startup built on deep pricing experience from our founding team who have run over 150 pricing engagements. We’ve seen firsthand how companies struggle with pricing and leave money on the table. On the flipside, we’ve also seen firsthand how companies that make pricing a continuous capability thrive.

We have assembled our team of 8 (pricing experts and engineers) to deliver that capability. Our main hubs are San Francisco and Amsterdam, covering the North American and European markets. We believe owning those markets are key to building a category-defining company.

We're backed by renowned investors who've helped build generational companies, and we expect to grow the team 2-3x in the coming 12 months. Joining now means you’ll actively shape the product, the team, and the way we run engagements. If that kind of ownership and entrepreneurship sounds energizing rather than daunting, then this role is for you.

About the role

At Mondrio, we’re on a mission to build the future of pricing: agentic pricing management. We believe that monetization should be data-driven rather than a one-time exercise. It should evolve as products, markets, or sales motions change. Our AI-native platform equips companies to bring that pricing intelligence into strategy and deal decisions. About Mondrio Mondrio is a fast-growing Seed stage startup built on deep pricing experience from our founding team who have run over 150 pricing engagements. We’ve seen firsthand how companies struggle with pricing and leave money on the table. On the flipside, we’ve also seen firsthand how companies that make pricing a continuous capability thrive.

We have assembled our team of 8 (pricing experts and engineers) to deliver that capability. Our main hubs are San Francisco and Amsterdam, covering the North American and European markets. We believe owning those markets are key to building a category-defining company.

We're backed by renowned investors who've helped build generational companies, and we expect to grow the team 2-3x in the coming 12 months. Joining now means you’ll actively shape the product, the team, and the way we run engagements. If that kind of ownership and entrepreneurship sounds energizing rather than daunting, then this role is for you.

About the role

We are looking for strong engineers to be part of the next stage of Mondrio’s growth and set the bar for our engineering and technical culture.

You will be at the forefront of building the next frontier of pricing and monetization software as the industry repackages and reprices far more frequently in the agentic era.

You own whole modules of our growing product suite end to end: scope with customers, design the API, build the UI, ship, iterate. A module is done when an LLM agent can drive it through our MCP server for consumption with conversational interfaces rather just when the React component renders.

You’ll mentor peers, influence product strategy and help us define what best-in-class AI-driven pricing software looks like.

No PM sits between you and the customer. You will be the direct bridge between the product vision of the executive team, shaped by customer feedback and the vast new engineering capabilities available in the agentic era.

What you'll do

Partner closely with product, design, and leadership to define and evolve the architecture for agentic AI systems that across multiple product surfaces and interfaces (Slack bots, TUIs, Web, vendor integrations).

Own the design and delivery of our entire product suite: scope with customers, design the versioned api and MCP endpoints, build the React UI, ship, iterate.

Lead technical discussions and architectural reviews, ensuring our systems remain robust, extensible, and secure.

Build backend-heavy product areas. Current examples: pricing simulation tooling, AI persona modeling, and the voice-of-customer survey module.

Move pricing rules out of the client and onto the server. The frontend is meant to be a thin, replaceable layer, and some pricing logic still lives in the React client.

Make every feature drivable by an LLM agent through our MCP server.

Extend our typed ontology of pricing entities (Pydantic models for SKU, Proposition, Persona, and Pricing today; Customer, Contract, and Quote next).

Establish engineering best practices around testing, observability, deployment, and performance monitoring for AI-driven features.

Treat money handling as load-bearing since it has massive repercussions for financial fidelity.

Your first 90 days

First 30 Days: SDLC Baseline & Product Exploration

At least one set of client-side pricing rules is migrated out of the React UI and onto the FastAPI backend, and the redundant frontend code is deleted.

You adopt our AI-native SDLC using Claude Code and Cursor, helping configure the initial automated review gates for agent-assisted PRs.

You establish a weekly rhythm of demoing real, un-staged application state and join direct customer discovery conversations.

By Day 60

End-to-End Module Ownership & Agentic Parity

You own a complete module within our product suite end-to-end from scoping customer problems directly to designing versioned API endpoints and building advanced React components.

You mentor peers on our architectural guidelines, ensuring business logic stays server-side, APIs evolve additively, and writes are audited by default.

Every feature within your module is exposed through our FastMCP server, making it fully drivable by an LLM agent via conversational interfaces.

You refine our software factory workflows so LLM agents reliably write and review pull requests behind our automated review gates.

By Day 90

Production Impact & Ontology Expansion

You own the operational architecture of our AI-native software factory, turning recurring engineering tasks into automated agentic pipelines that maintain absolute financial fidelity.

You mentor incoming engineers and set the bar for engineering best practices around testing, observability, and performance as the team scales.

You can live-demo an agent driving your shipped module end-to-end in production and directly translate customer interactions into shipped code without a PM layer.

What we’re looking for

8+ years of engineering experience, with strong skills working across the product stack.

You have shipped and owned entire product areas at a startup

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