GTM RevOps Engineer

What We're Looking For:

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.

What You'll Do:

Build & Automate the Revenue Engine:

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

Revenue Intelligence & Reporting:

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

AI & Tooling Innovation:

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

Cross-Functional Partnership:

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

What We're Not Looking For:

This is not a CRM admin role. If you're looking for a job where you configure fields and run reports, this isn't it. We want someone who writes code, builds integrations, and architects net-new systems from scratch. We also don't want someone who treats AI as a buzzword — we want someone who has shipped AI-assisted workflows and can speak to what worked and what didn't.

Required Skills & Experience:

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.

Technical Foundation:

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

GTM & Revenue Systems:

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

AI & Emerging Tech:

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

Mindset & Collaboration:

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