Latest AI JobsBrowse Jobs
Togal.AI logo

GTM- Engineer

Togal.AIUnited StatesGeneral Admin
Apply on company site
Salary
Not listed
Job type
Full-time
Work mode
Remote
Posted
9 Sept 2026
Status
Open · checked 8d ago

About this role

Construction Takeoff Software for Estimators seeks a remote GTM Engineer in the United States to manage revenue-driving systems and prediction models. This full-time position suits an experienced technical professional with a background in growth engineering or RevOps looking to scale AI-powered pre-construction solutions.

Role Overview

As a GTM Engineer, you own the technology stack that turns raw signals into business pipeline. You inherit live systems carrying real revenue, meaning your code and models directly dictate how the company sells. The role requires judgment under live conditions, balancing quick version-one solutions with robust long-term architecture while managing messy data and API failures.

Key Responsibilities

Build and maintain predictive models for estimator count, seats, and expected ARR with clear confidence bands for sales representatives, owning conversion scoring and model retraining.
Execute multi-segment and multi-channel campaigns across email, LinkedIn, and voicemail by writing and maintaining the underlying code, handling routing, retries, deduplication, and deliverability.
Generate scalable personalization features, including per-rep landing pages and AI avatar videos, with complete end-to-end tracking for demo attribution.
Utilize call intelligence to ground the AI in real sales conversations, feeding prep documents, follow-up emails, avatar scripts, and page copy with genuine prospect objections.
Transform signals such as job changes, promotions, news, and clicks into scored, prioritized action items routed directly to sales representatives.

Requirements

Bring at least 5 years of experience in growth engineering, RevOps, technical marketing, or sales operations tied directly to revenue or pipeline growth.
Demonstrate strong fluency in a programming language with the ability to write, debug, and validate production-grade code.
Possess applied machine learning experience, including building, training, and maintaining a production model while explaining confidence levels to stakeholders.
Maintain deep familiarity with REST APIs, webhooks, OAuth, rate limits, and the patience to debug undocumented vendor failures.
Utilize strong SQL skills and acute data sense to separate genuine insights from noise.
Work hands-on with modern go-to-market tools including HubSpot or Salesforce, Clay, Apollo, Instantly, and n8n.
Apply practical LLM knowledge spanning prompting, function calling, output evaluation, and identifying appropriate use cases.
Exercise strong execution judgment to determine when a working version-one solution beats a delayed perfect specification.

Nice to Have

Background in the construction or AEC industry.
Experience in machine learning research.
Technical depth in frontend or backend development.
Prior experience scaling a go-to-market engineering function.

Skills and Tools

SQL
LLM
Python or general programming languages
REST APIs, Webhooks, OAuth
HubSpot or Salesforce
Clay, Apollo, Instantly, n8n
Machine Learning models

About the Company

Construction Takeoff Software for Estimators is an innovative technology company building an AI-powered cloud platform for the pre-construction sector. Founded by industry veterans, the company creates award-winning software that automates takeoff tasks, helping estimators analyze blueprints up to 80% faster while reducing errors. As an equal opportunity employer, the organization is committed to building a diverse team dedicated to transforming the construction industry.

How to Apply

To apply for this position, please visit the official company careers page on togal.ai to submit your application.

Skills and tech stack

LLMSQLMachine Learning

Questions candidates ask

Is this position remote?

Yes, this role is fully remote within the United States.

What level of experience is required?

Candidates must have 5+ years of experience in growth engineering, RevOps, or a technical marketing or sales ops role.

What technical skills are necessary for the GTM Engineer?

Candidates need strong programming fluency, applied machine learning experience, SQL proficiency, familiarity with REST APIs and webhooks, and practical LLM experience.

What tools will I be working with in this role?

The tech stack includes HubSpot or Salesforce, Clay, Apollo, Instantly, and n8n.

How do I apply for the GTM Engineer job?

You can apply directly on the official company careers page at togal.ai.

Ready to apply?

The application is on the official Togal.AI careers page.

Apply on company site