Principal AI Platform Engineer, Applied AI

Snowplow is the real-time customer context layer that collects, validates, enriches, and delivers behavioral data for advanced analytics, ML, and AI agent decisioning. Snowplow's event tracking is leveraged across 2M+ websites and applications globally, processing over one trillion events per month.

More than 250 companies, including Experian, Auto Trader, Strava, Condé Nast, and Hello Fresh, rely on Snowplow to build a well-governed, first‑party data foundation that powers their customer‑facing AI agents, in‑session personalization and recommendations, and real‑time analytics.

Snowplow is rebuilding how the company runs its own work, and the Applied AI team owns Firn, the single data and AI platform the whole company runs on. Firn already gives people and agents the same governed tools over our Snowflake warehouse through an MCP gateway, routes every model call through one LLM gateway with tracing, runs agentic workflows on a factory framework with a ledger that records every run, and holds the skills catalog the company draws on.

Most of the company uses it every day. The platform is at its beginning, and the next stage is to expand it until it holds the company's commercial intelligence and lets agents act on it safely.

You are the principal engineer who leads that expansion. The first engagement is Go‑to‑Market, full time for about six months. Our buyers research with AI agents now, and reaching them means using our own data and AI to decide which accounts and people to engage, with what, and learning from every experiment. The GTM teams have built a lot: daily account and engagement scoring, signal feeds from Apollo, Vector and reo.dev,

an always‑on outbound engine, a paid‑media loop, a curated GTM knowledge base, and the integrations between them. Much of it was built by operational teams to get results fast, and it did. You design how those services come onto Firn, unify and modernise them, build the agents and tools and learning loops on top, and make the whole thing production grade.

This is a principal role. You report to the Senior Director of Applied AI, who still ships code, and work as a peer. Marketing, Sales, Account Management and Partnerships are the platform's customers and set their own priorities. You decide how it gets built and whether it is sound. Once the GTM services run without you, they stay yours as their owner and most of your time goes to what Snowplow needs next.

• The GTM intelligence engine on Firn. The data and AI that decide who we engage and with what, and that learn from the outcome of every action. You design it with our data engineers as a set of platform services with several internal customers, and you bring the GTM services that exist today onto the same foundation.
• Agents and tools. The agents that run GTM work and the tools people and other agents call, built on the factory framework with review steps and evaluations as the standard shape, so every agent on the platform can be trusted and inspected the same way.
• Platform architecture. The MCP gateway, LLM gateway, tracing, factory framework and ledger, and how they grow to hold more of the company's work. You decide what is built, what is bought, and what is retired.
• Production grade. Version control, CI, alerting and recovery, cost visibility, documentation, and handover for every service on the platform, including the ones that arrive from operational teams. You set the bar and you make it visible to the teams that depend on it.
• Logic as code. Rules that today live inside individual tools move into versioned code on the platform, where agents can read them and engineers can test them, and the tools become endpoints the platform drives.
• Learning…