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. #LI-Remote Apply To This Job