Revenue Operations Engineer

About the Role

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.

What You'll Do

• CRM Ownership
• 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
• Workflows, Sequences & Automation
• 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
• AI Optimization
• 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
• Reporting & Forecasting
• 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
• Cross-Functional Partnership
• 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

What We're Looking For

• 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
• Ability to travel to our onsite location in Houston at least 2x a year
• SQL, Python