Netic is the AI revenue engine for essential services who are the backbone of the American economy. With $43M in funding from Founders Fund, Greylock, Hanabi, and Dylan Field who led our Series B, we helped our customers book hundreds of thousands of jobs across services industries in North America. There are now companies operating entirely AI-first on Netic.

You’ll join our team with relentless builders from Scale, Databricks, HRT, Meta, MIT, Stanford, and Harvard in bringing frontier AI to the physical economy, where the problems are hard, the data is complex, and the impact is immediate and tangible.

The role

You'll be the first engineer dedicated to Netic's go-to-market systems. There's no GTM architecture to inherit: you'll decide how Salesforce, billing, product data and the warehouse fit together, set the technical direction, and build the platform our sales, ops and finance teams run on.

This is a senior, high-ownership role. You'll treat the GTM stack as a product, decide what to build and what to buy, and bring the same AI-first approach we bring to our customers. As the team grows, you'll help hire and mentor the engineers who join it.

What you'll do

• Own the architecture of the GTM stack: how Salesforce, billing and finance systems, product data and the data warehouse connect, so a deal flows from first touch to invoice without manual re-entry.
• Set the technical roadmap with Sales Ops, Deal Desk and the GTM Data Analyst, and decide what to build, buy or retire.
• Automate sales ops workflows end to end: lead and account routing, territory assignment, approval flows, quote-to-cash and commission inputs.
• Build internal tools and AI agents that remove manual work for reps and ops, such as account research, call prep, data enrichment and Salesforce hygiene.
• Own the reliability, observability and correctness of GTM data pipelines, with monitoring that catches a broken sync or a wrong dashboard before a user does.
• Set engineering standards for the GTM stack: version control, testing, CI/CD and documentation for Salesforce and the services around it.
• Help hire and mentor the engineers who join the team.

What success looks like in year one

• A documented GTM architecture and roadmap that leadership has signed off on.
• Lead-to-cash running without manual re-entry, with data reconciled across Salesforce, billing and the warehouse.
• AI tooling in daily use by reps and ops, with time saved measured.
• Salesforce and GTM services under version control, tested and deployed through CI.