GTM Engineer

Mission 

4Minds is an enterprise AI fine-tuning platform that transforms how organizations build and operate private, domain-specific AI. Unlike static systems, 4Minds’s AI platform learns continuously from live data in real time and can be deployed on-prem or your cloud provider. 
Our patented technologies scale existing engineering teams and empower new AI teams, enabling rapid AI deployment, adoption, and ROI. Through 4Minds’s automated data pipeline and proprietary knowledge graph, enterprises can connect all their data sources, including Microsoft, Databricks, Snowflake, AWS, Google, Salesforce and NetApp, creating adaptive AI that surpasses the capabilities of conventional RAG-based systems. 

 
Role Overview 
As our first GTM Engineer, you’ll be architecting the systems that make our entire go-to-market team move faster and smarter. This is a high-impact individual contributor role with direct visibility to leadership. You’ll work at the intersection of commercial strategy and technical execution, building automated revenue engines that compound over time. 
  
Your work will progress through: 
Data foundation: keep CRM and data records clean, deduped, and trustworthy through automated enrichment, schema audits, and ownership rules 
Data modeling: collect unique data points that predict purchase, expansion, or churn; build propensity scores, define ICP attributes, and enrich AI-powered signals 
Data activation: deploy those data points in revenue-generating workflows: automated outreach, meeting notes, churn-risk nudges, and sales enablement at scale 

 
Key Responsibilities 
AI-powered revenue automation: 
Build automated workflows that replace manual seller research, CRM updates, and follow-up sequences using AI and enrichment tools like Clay, n8n, and Zapier 
Design and deploy signal-based outbound systems by monitoring competitor activity, intent signals, and trigger events to launch personalized campaigns at speed 
Automate account research, scoring, and prioritization so reps spend time selling, not preparing 
Automate retention and expansion plays: analyze support tickets to predict churn and trigger targeted outreach before renewal 

 
CRM Engineering & Data Foundation: 
Administer and architect our CRM (HubSpot or Salesforce) end to end workflows, pipelines, fields, integrations, and data integrity 
Build and maintain dashboards that give leadership real-time visibility into pipeline health, revenue forecasting, and sales performance 
Own data quality from source to activation clean, enriched, and structured so every downstream system actually works 
Run automated enrichment jobs, deduplication routines, and audit processes so the team spends time on strategy, not data hygiene 

 
GTM systems and process design: 
Design scalable, documented sales processes from lead handoff to close 
Evaluate and manage the sales tech stack, cutting noise and identifying tools that create real leverage 
Support territory planning, quota setting, and commission tracking in partnership with leadership 
Partner with finance on revenue forecasting and headcount planning 
  
Cross-Functional Collaboration: 
Work closely with Sales, Marketing, Finance, and Customer Success to align on shared metrics, tooling, and processes 
Act as the internal expert on GTM tooling  
Identify revenue bottlenecks across the funnel, write specs, ship prototypes, and scale what works 

 
Required Qualifications 
3–9 years in Sales Operations, Revenue Operations, GTM Engineering, or a closely related function 
Hands-on CRM experience with HubSpot or Salesforce administration, not just usage 
Demonstrated experience building automated workflows using tools like Clay, Zapier, n8n, Bolt, TypeScript, Python, SQL, Lovable, or similar. 
Comfortable building reports, interpreting data, and presenting insights clearly to non-technical stakeholders 
Experience with pipeline forecasting, quota analysis, and sales performance reporting 
Ability to work independently, manage competing priorities, and build from scratch in a fast-moving environment 
Background in a tech company startup or enterprise; we value both 

 
Preferred Qualifications 
Experience at an AI, SaaS, or data infrastructure company 
Familiarity with Outreach, ZoomInfo, Gong, Apollo, or similar GTM tooling 
Experience supporting a sales team through a funding round or significant growth phase 
Exposure to commission plan administration or incentive compensation tools 
Python or Typescript experience for customer automation scripts 
A builder's mindset: someone who sees a manual process and immediately thinks about how to automate it 

 
Compensation 
Base salary range: $90,000 - $147,000 annually (Base salary is commensurate with experience and location) 
Annual performance bonus 

Benefits 
Comprehensive medical, dental, and vision coverage (80% employer-paid) 
Unlimited PTO policy with 15 days minimum 
11 paid company holidays 

 
Professional Development 
Annual training and certification budget 
Access to online learning platforms 
Conference attendance opportunities 
Regular internal technical workshops and knowledge sharing sessions 

Work Environment 
Location: On-site in Dallas HQ preferred; remote candidates will be considered 
High-performance workstations 
Modern office space in Dallas with standing desks and ergonomics equipment 
Monthly team events and learning sessions 
Collaborative in-office environment fostering innovation and teamwork 

Process 
We like to be efficient but do our due diligence. Here’s what you’ll expect from us: 
Interview with Recruiter (30-60 minutes) 
Interview with Hiring Manager (45 minutes) 
Interview with Team (45 minutes) 
Interview with Team (45 minutes) 
Interview with CEO (30-60 Minutes) 

Apply Now 
Hit the apply button and submit: 
Detailed Resume  
 
4MindsAI is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees.

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