GTM RevOps Engineer

At Liatrio, we enable real transformation.

 We help industry-leading enterprises break free from legacy systems and adopt AI that reshapes how teams build, deliver, and thrive at scale.

We partner directly with enterprise teams to embed AI-native practices into delivery– accelerating modernization, reducing risk, and shipping production-grade AI systems that set the standard for the industry.

Our people embed directly inside client organizations, leading hands-on AI enablement and transformations that reshape how entire enterprises build and operate at scale.

If you’re ready to lead real AI transformation, this is where you belong.

We're looking for a GTM / Revenue Operations Engineer who thinks like a builder and operates at the intersection of technology and revenue strategy. This is not a traditional RevOps role. You'll be the technical architect of Liatrio's revenue engine — designing, automating, and optimizing the systems that power our pipeline, sales motion, and GTM execution.

You have a software engineering mindset and you've found a passion for applying it to the messy, high-stakes world of B2B sales. You get excited about turning a manual SDR workflow into an AI-powered enrichment pipeline. You default to action, ship small and fast, and work in public.

This role reports to the Revenue Team Leader and works cross-functionally with BDRs, AEs, Marketing, and Executive Leadership.

• Design and maintain automated workflows across prospecting, lead enrichment, lead scoring, routing, and follow-up sequences
  
  

• Build and optimize integrations across our GTM tech stack — CRM (HubSpot), sales engagement platforms, data enrichment tools (Clay, ZoomInfo), and analytics tooling
  
  

• Develop AI-powered workflows that give our BDRs and AEs better, faster intelligence — account research, contact enrichment, intent signals, and pre-call briefs
  
  

• Own data hygiene: deduplication logic, field validation, enrichment pipelines, and CRM integrity
  
  

• Build real-time dashboards and reporting infrastructure that gives leadership trustworthy pipeline visibility — CAC, LTV, conversion rates, stage-by-stage funnel analytics
  
  

• Partner with RevOps to instrument and improve our revenue forecasting models
  
  

• Identify revenue bottlenecks through data and build systems to eliminate them
  
  

• Continuously evaluate the GTM technology landscape and bring forward-looking recommendations on tools, platforms, and AI capabilities
  
  

• Experiment with LLM-based workflows — from AI-assisted outreach personalization to automated call note summarization and CRM updates
  
  

• Be our internal subject matter expert on what's possible in the modern GTM stack
  
  

• Bring a builder's mindset to AI: don't just turn features on, architect systems that compound
  
  

• Translate business requirements from sales leadership into technical builds — turn a "15-minute lead response SLA" into an automated routing system
  
  

• Support BDRs and AEs with self-serve tools, documentation, and training on the systems you build
  
  

• Collaborate with our RevOps Manager on process design and strategic roadmap
  
  

Liatrio lives and breathes the following traits — people on our team tend to have a combination of the following qualities. This is not a comprehensive list; there may be other equally valuable skills and experience you bring that are not listed here.

• Proficiency in Python, SQL, and/or JavaScript for data manipulation, API integrations, and workflow scripting
  
  

• Hands-on experience with API integrations and webhooks — you've built custom connectors, not just turned on native integrations
  
  

• Familiarity with no-code/low-code automation platforms (Make, n8n, Zapier, Workato)
  
  

• Experience with data enrichment and GTM tooling: Clay, ZoomInfo, Apollo, Clearbit, or similar
  
  

• CRM fluency — HubSpot preferred; you understand the object model, not just the UI
  
  

• Exposure to the B2B SaaS or professional services GTM motion — pipeline stages, ICP modeling, lead scoring, multi-touch attribution
  
  

• Understanding of the full funnel: awareness through closed-won and renewal
  
  

• Demonstrated comfort with LLMs and AI tooling — you've built something with an AI API, not just used ChatGPT
  
  

• Experience prompting, evaluating, and orchestrating AI agents for business workflows
  
  

• Genuine curiosity about what's coming next in the GTM/AI space
  
  

• Entrepreneurial: you see a broken process and immediately start sketching the fix
  
  

• Defaults to action — you ship a working v1 before socializing a perfect spec
  
  

• Works in public — you document what you build, share learnings, and invite feedback
  
  

• Communicates clearly across technical and non-technical audiences
  
  

• Comfortable with ambiguity and excited to define the role as you go