Job Description
About Us:
Liatrio is a boutique consulting firm that helps enterprises deliver software faster, safer, and more efficiently. Our work is dual mode: engineering delivery and people enablement. We partner with organizations to accelerate change through AI-native workflows, modern engineering practices, and human-centered transformation — from financial institutions to healthcare providers to the Department of Defense.
Our revenue team is growing, and we’re building the internal infrastructure to match the caliber of the technical work we deliver for clients.
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
Liatrio is an equal opportunity employer. We value diversity at our company and strive to create a culture of inclusion. We do not discriminate, nor do we tolerate harassment, on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status or disability status.
We want our process to be accessible for everyone. If you have a disability under the Americans with Disabilities Act or similar law, or you require a religious accommodation, and you wish to discuss potential accommodations related to applying for employment at our company, please contact [email protected].
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
