Atrium Academy

Cohort 1

Cohort 2

Scale GTM with AI-assisted sales enablement, growth experimentation & workflow automation 

Yash Tekriwal

First GTM engineer and Clay professor

Bhaumik Patel

10+ years building vocational training

GTM Engineer Foundations

Sales & Marketing Operations Manager 

Sales & Business Development 

Revenue Operations Manager

Business Development Representative

RevOps

Business Development & Operations

Manager, Solutions Engineering

Sales Representative

Marketing Operations Manager

The Evolution of GTM Engineering

The first GTM engineer + AI and automation expert

Diagnose your GTM bottleneck & pick the right archetype: outbound architect, inbound optimizer, CRM organizer, fullstack

Matching problem to archetype

Compare centralized, embedded, and hybrid models: trade-offs, ownership, and when each scales without bottlenecks.

Building the right org model

Learn the foundational skills, core competencies, and green/red flags when hiring a GTM engineer

Hiring for a GTM Enginering

Turning Social Engagement Data into Pipeline

Spencer Chemtob

GTM Engineer @ Clay

Monitor likes, comments, and shares to identify prospects already interested in your solution

Social signals reveal buying intent

Convert social interaction data into qualified account lists for focused outbound campaigns

Turn engagement into ABM targets

Use engagement patterns to reach prospects when they're most receptive to your message

Time your outreach perfectly

AI Agents and AI SDRs

Everett Berry

Head of GTM Engineering at Clay

Understand what agents are and how they are being used in GTM. Enumerate use cases and tactical reasons for using agents

Agents in GTM Introduction

Learn why outbound is an attractive target for agents, pitfalls, and current state. Explore the black box approach.

AI SDRs

Explore the human in the loop approach and what connectors and systems are needed for effective agents.

Approaches for Building Agents

GTM Data Architecture: Foundation, Enrichment, & Action

Manny Adelstein

GTM Engineering Internally at Clay

Set up data to flow cleanly across platforms, use custom objects for signals and intent, and build systems that scale

How to Architect the Foundation

Use enrichment to fill in data gaps, score prospects and customers, & build re-enrichment automations to keep data fresh

How to Build the Enrichment Layer

Clean data informs downstream workflows like orchestrating outreach to warm prospects or ranking top accounts to engage

Why Data Quality is Crucial for GTM Success

Driving Expansion Through Deep Customer Empathy

Gabrielle Borenstein

Strategic Enterprise Growth Strategy @ Clay

Rachel Gurman

Enterprise Growth Strategy @ Clay

Research frameworks that uncover hidden pain points, goals, and decision-making pressures across orgs

Map customer realities

Craft pitches that align with both organizational priorities and individual stakeholder success metrics

Speak their language

Leverage Clay to deliver research that identifies and supports expansion plays for prospects and existing

Research that converts

Building GTM Experimentation Systems to Find Alpha

Learn the framework top operators use to identify and validate high-impact growth opportunities

Find your GTM Alpha:

Create systems that turn your team into consistent experiment runners, not just idea generators

Build a culture of experimentation and repeatable systems:

Deploy the metrics and feedback loops that separate winning GTM strategies from costly assumptions

Learn directly from Atrium Academy