Revenue Operations Engineer

Logicbroker is the Agentic Commerce Orchestration Engine helping enterprise retailers, brands, suppliers, and distributors connect and grow. Our Intelligent Commerce Network powers over $10B in GMV for global leaders like Samsung, Walgreens, and Home Depot by automating the entire process from discovery to doorstep and stock to dock. We make products discoverable, shoppable, fulfillable, and returnable so our clients can grow faster, delight customers, and run smarter operations.

We're hiring a Revenue Operations Engineer to own the systems, data and processes behind our go-to-market team. You'll own Hub Spot and the revenue tool stack end to end, and personally build integrations, automations and AI-assisted workflows that help the team create and convert more effectively.

This is a builder role. The foundation is in place: a Hub Spot Enterprise data model, ARR and renewal reporting, a MEDDPICC framework and an AI-assisted Rev Ops roadmap. Your job is to turn that into a planning, reporting and deal execution engine that leadership runs the business on.

• Own Hub Spot Enterprise as the system of record: data model, pipelines, properties, automation, permissions and data quality.
• Own the revenue tool stack, including data enrichment, conversation intelligence, CPQ and e-signature, and make the tools work together through clean integrations.
• Write and maintain SOPs for how deals, renewals, handoffs and approvals move through the business.
• Find friction in the revenue process and fix it, with a bias toward automation and AI, measuring adoption, reliability, time saved and impact on pipeline or conversion.
• Support forecasting and pipeline reviews with sales leadership, and give reps dashboards and actionable account context.
• Partner with Finance on ARR, bookings and renewal reporting so the CRM and the books agree.
• Personally build and troubleshoot workflows using APIs, automation platforms and AI coding tools, partnering with AI Engineering Team on more complex projects and production reliability.
• Manage contractors and vendors to deliver system builds on time.
• Work with GTM team to turn customer conversations, account signals and won / lost deal patterns into better targeting, prioritization and relevant sales angles, acting as a strategic advisor to leadership on go-to-market design, pricing operations and growth levers.

• Workflow automation, in Sales, Marketing and CS. Build and maintain workflows for account research, enrichment, routing, follow-ups, and CRM updates, along with annual and quarterly planning process: territories, quota setting, capacity models and pipeline coverage targets, in partnership with the ELT.
• Reporting and insights. Streamline reporting into a single source of truth for pipeline, forecast, ARR and renewals. Cut manual reporting and get leadership answers faster.
• Contracting process. Improve and automate end-to-end quote-to-contract workflow covering templates, approvals, e-signature and CRM handoff.
• Deal desk. Build approval workflows for pricing, discounting and non-standard terms, using thresholds and policies set by Finance and leadership.

• 5+ years in Revenue Operations, Sales Operations or GTM systems, ideally at a B2B SaaS company.
• A builder track record: you've personally built and maintained processes, integrations, systems and automated workflows from scratch, with evidence of adoption and measurable results.
• Hands-on CRM administration experience, comfortable building properties, workflows, reports and dashboards yourself.
• Experience writing SOPs and driving adoption of new processes across Sales, Marketing and CS.
• Experience integrating GTM tools through APIs and managing data flow between systems, including troubleshooting failures.
• Hands-on experience using AI coding tools and automation platforms to ship working solutions, with the ability to write and debug code when needed.
• Working knowledge of SaaS metrics: ARR, net revenue retention, pipeline coverage, win rate and sales cycle.
• Firsthand experience learning from customer or sales conversations and using those insights to improve targeting, messaging or revenue workflows, along with quota, territory and capacity modeling.
• Clear communication with executives; you can turn messy data into a decision.

• Deep Hub Spot experience across Sales Hub, Marketing Hub or Service Hub, especially at the Enterprise tier.
• Experience standing up a deal desk or contracting function.
• Exposure to…