GTM Engineering and Systems Manager

THE ROLE

Ashby is looking for a GTM Engineering Manager to lead our GTM Systems & Tools team within our Revenue Operations department. To scale beyond $100M ARR, our internal infrastructure must be as elegant and high-performing as the product we sell.

You will own our entire revenue tech stack, ensuring Marketing, Sales, and Customer Success have the data, automation, and tooling to operate effectively. You will build the AI intelligence layer on top of that foundation: LLM-powered enrichment, predictive scoring, and automated workflows that replace manual audience assembly, sequence selection, and outreach across the full customer lifecycle.


CURRENT STATE

You won't be starting from zero. Ashby has a complete GTM pipeline: CRM, enrichment, signal detection, orchestration, and delivery all connected and running. What we haven't built is the AI intelligence layer on top of it, or the team to own it.


TECH STACK

Our current toolkit includes HubSpot (CRM and sequencing), Gong, LinkedIn Sales Nav, Accord, Slab, Chilipiper, LeadIQ, Clay, Cargo, Keyplay, Snowflake, Instantly, and Omni. While we don't require mastery of every tool, we need a "tinkerer’s mindset". You should be comfortable using these as raw materials to build sophisticated, AI-driven automation.


WHAT YOU'LL DO

Team Leadership. Build and lead a high-impact team. You will define the roles, hire the people, and organize the function to deliver on its responsibilities.

Growth Architecture & Strategy. Operate as an internal product team for the GTM org. Define the roadmap, write specs, ship prototypes, and scale winning tactics to shrink iteration cycles from months to hours. Evaluate, procure, and sunset tools as the stack evolves.

The GTM Hierarchy of Needs. Own the full stack of revenue engineering:

- Data Foundation: Build and maintain the system infrastructure.

- Own and evolve the core revenue technology stack (CRM, marketing automation, data warehouse). Ensure data quality, governance, and seamless integration across systems.

- Design scalable data architecture that supports every layer above it. You don't just add fields, you build systems.

- Data Modeling: Identify and collect unique data points (signals) that predict purchase, expansion, or churn.

- Data Activation: Deploy those signals into automated outreach, meeting prep, and expansion nudges.

- Agent Development: Design, deploy, and orchestrate AI agents that automate decision-making and execution across Marketing, Sales, Customer Success, and RevOps.

GTM Agent Strategy. Define how Ashby uses AI agents across the full customer lifecycle. Identify where agents replace manual decision-making, where they augment human judgment, and where humans stay in the loop. Own the roadmap from first deployment to full orchestration.

Cross-Functional Engineering. Partner with Engineering and Data teams to harden winning experiments into production-grade systems.


WHO YOU ARE

The Empathetic Leader. You bui