Revenue Operations Engineer

CompuCycle•Houston, TX

38d•$85,000 - $125,000•Onsite

About The Position

We're hiring a Revenue Operations Engineer to own and evolve the systems, data, and processes that power our go-to-market team. This is a high-impact, hands-on role. You'll own our CRM end-to-end, build the reporting and automation infrastructure our GTM team relies on daily, and lead the integration of data and AI to impact how we prospect, qualify, and close. You'll work directly with Sales, Marketing, and Customer Support to turn operational complexity into clean, scalable systems. You'll be expected to build, not just advise.

Requirements

2+ years in Revenue Operations, Sales Operations, or GTM Operations
Deep, hands-on HubSpot experience across Marketing, Sales, and Ops Hubs
Strong grasp of full-funnel GTM — lead gen, outbound, inbound, pipeline, and post-sale
Highly analytical and data-driven — can build a report and explain what it means for the business
Working familiarity with agentic AI tools (e.g. GPT-based agents or similar)
Proven track record building HubSpot integrations via native connectors and middleware (Make, Zapier, or similar)
Experience with buyer intent data platforms
SQL
Python

Nice To Haves

Enjoy turning messy, manual GTM processes into clean, scalable systems
Are excited about applying AI to real operational problems — not just in theory
Operate with high autonomy, document thoroughly, and communicate well across technical and non-technical teams
Are as comfortable in a HubSpot workflow as you are in a leadership meeting explaining pipeline risk
Like to iterate quickly, experiment, and learn

Responsibilities

Serve as primary HubSpot administrator and architect — own the data model, custom objects, associations, lifecycle stages, deal pipelines, permissions, and the full integration layer
Maintain data integrity through proactive deduplication, property standards, validation, and enforced lifecycle definitions
Build and maintain reliable integrations across the GTM and CS stack using APIs, webhooks, native connectors, and middleware (Zapier)
Write custom scripts (Python a plus) to automate data transforms, enrichment, CRM hygiene, and reporting that no-code tools can't handle alone
Build and optimize workflows for lead routing, lifecycle progression, deal stages, and cross-team handoffs; design the system to run without manual
Instrument and tune outreach sequences using engagement and conversion data
Ship automation that removes manual work and keeps the team focused on revenue-generating activity
Run structured experiments: define the hypothesis, instrument the measurement, ship the test, and scale what moves pipeline
Evaluate new tooling rigorously — build the business case, run a structured pilot, and measure impact
Integrate forms, workflows, and e-signature tools to streamline user onboarding processes
Design and deploy agentic AI workflows embedded into core GTM processes — prospecting, qualification, follow-up, and nurture
Integrate buyer-intent data sources (Bombora, 6sense, G2) to surface high-propensity accounts and trigger timely, relevant outreach
Apply LLMs to account research, deal briefings, onboarding documentation, and data normalization wherever reliable automation can replace manual effort
Connect intent signals and AI outputs to lead scoring, routing, and rep prioritization
Help define best practices and guardrails for AI use within GTM workflows
Design and own dashboards and pipeline reports that give leadership and the GTM team clear, accurate visibility
Build forecasting models and track KPIs across the full revenue funnel — pipeline generation, conversion, and retention
Write SQL and conduct rigorous data analysis to validate pipeline data
Translate data into actionable insights and present them clearly to senior stakeholders
Partner with Sales and Executive Leadership to ensure systems and processes serve each team's actual needs
Enable the GTM team on best practices, new workflows, and tooling — through documentation, training, and hands-on support