granola - GTM Systems Lead
Requirements
• Experience designing, building and owning systems used by a growing commercial team. Relevant hands-on experience matters more to us than a particular number of years or experience with a specific CRM. • Sound judgement about system architecture, priorities and build-versus-buy decisions—and the ability to explain those decisions to non-technical colleagues. • Technical depth beyond administering tools: you’ve built integrations and are comfortable working with APIs, webhooks and code. Experience with SQL, Python or JavaScript would be useful. • An understanding of CRM data models, routing, enrichment and the operational work needed to keep data flowing reliably. • A willingness to get into the weeds. You’re comfortable doing the implementation yourself while also thinking about how the stack should develop over time. • Curiosity about AI-powered GTM workflows, with experience building them a plus rather than a prerequisite. • A collaborative, low-ego approach. You can work through messy requests with Sales, CS and Data, challenge assumptions constructively, and ship solutions people can use. • You don’t need to have used Attio or every tool in our stack. We’re more interested in what you’ve built, how you think about systems, and how you’d apply that experience here.
Responsibilities
• Design and evolve the GTM stack. Decide how our Sales and CS systems should fit together, what to build versus buy, and what to prioritise as we grow. • Own the technical architecture of our CRM, Attio. Shape its data model, objects, workflows and integrations. You’ll be hands-on with configuration, particularly early on, but routine admin won’t be the sole focus of the role. • Build and maintain integrations. Make data flow reliably across Attio and our wider toolset, including Apollo, Cal.com http://Cal.com, Tally and Polytomic, and into the data systems used by the wider business. • Own the wider toolset. Assess new tools and vendors, improve or replace what isn’t working, and make sure the stack is useful, reliable and cost-conscious. • Find opportunities for automation and AI. Identify work that could be made easier for Sales and CS, and build or collaborate on solutions where they fit the priorities of the stack. • Keep systems dependable. Troubleshoot problems, establish sensible governance and documentation, and partner with IT on access and security. • Understand how teams work. Get close to Sales and CS workflows so the systems you build solve real problems, not just technical ones.
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