Revenue Operations (RevOps) Engineer

Duende Software is defining the identity infrastructure category, and they are seeking a Revenue Operations Engineer to design, build, and automate systems that power their go-to-market engine. This role involves owning the technical architecture of HubSpot, building automation to replace manual processes, and integrating tools for cohesive operations across various teams.

Responsibilities:

• Design and implement the HubSpot architecture for a new pricing and packaging rollout: custom objects, deal stages, properties, pipeline views, and automated quote workflows
• Build and maintain executive dashboards and forensic reporting across pipeline velocity, win/loss analysis, cohort performance, and revenue forecasting
• Own CRM data integrity: schema design, deduplication, data mapping, and governance practices that establish a single source of truth
• Integrate HubSpot with third-party tools via native integrations, APIs, and middleware (e.g., Make.com, Zapier, or custom scripts)
• Automate the renewal lifecycle: build 90/60/30-day reminder sequences, renewal risk scoring, and AI-generated value realization summaries per account
• Design and implement lifecycle stage management, lead scoring, and marketing-to-sales handoff automation
• Create attribution models that connect marketing spend to pipeline and revenue outcomes
• Document every process you build. If it’s not documented, it doesn’t exist
• Identify opportunities to apply AI tooling (LLMs, agentic workflows, AI-assisted analysis) to GTM operations
• Build or prototype internal tools that reduce manual work: automated deal intelligence, AI-powered customer health scoring, dynamic pricing analysis
• Serve as the bridge between our engineering team’s AI capabilities and the operational needs of Sales, Marketing, and Finance

Requirements:

• 3+ years of hands-on experience building and architecting complex HubSpot environments (custom objects, advanced workflow automation, API integrations, and opportunity configuration)
• Demonstrated ability to write HubSpot workflows, integrate external systems via APIs, and build operational tooling—not just configure settings in a GUI
• Proven track record designing lifecycle stages, attribution models, deal stage architectures, and revenue reporting frameworks
• Experience building executive-level dashboards including velocity metrics, win/loss analysis, cohort retention, and forecasting
• Familiarity with AI/LLM tools and a demonstrated willingness to experiment with AI-assisted workflows (you don't need to be an ML engineer, but you should be actively curious and using these tools in your work)
• Experience with .NET/C# strongly preferred, sufficient to build integrations, data pipelines, or internal tools