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Solutions Architect, GTM Brain
Location
United Kingdom
Posted
45 days ago
Salary
0
Seniority
Senior
Job Description
Solutions Architect, GTM Brain
Deel
• Systematically mine the sales pipeline - prospects signals, call transcripts and recordings, loss reasons to build a structured, living view of what's working and what isn't. • Define the highest-leverage gaps in the sales motion and own the requirements that shape our GTM intelligence system. You'll identify where AI-powered tooling, automation, or better data can move the needle - and spec it with enough precision that Engineering can build it. • You don't only write recommendations, you build them. Whether it's a scoring model, a data workflow, or a rough prototype that proves a concept, you move ideas from insight to artefact. You're comfortable working with tools, writing logic, and getting your hands dirty before handing off to Engineering. • Design and maintain scoring frameworks that evaluate AE performance across the sales cycle - discovery quality, objection handling, pitch delivery - and surface coaching opportunities grounded in data. • Translate pipeline analysis and field feedback into data-backed improvements to scripts, opening hooks, battlecard and stage-by-stage playbooks. Keep them current, tested, and owned.
Job Requirements
- 5–8 years in a Sales Engineer, pre-sales, or revenue architecture role - you've lived inside a high-velocity sales pipeline and know how deals move, stall, and close.
- A builder's instinct: you've created things from scratch - frameworks, tools, processes - in environments where no playbook existed yet, and you default to prototyping before speccing.
- Hands-on experience with Gong or Chorus beyond call review - you've used them to extract patterns, build scoring logic, and drive measurable process changes at scale.
- Proven track record building scorecards, playbooks, and battlecards that changed rep behaviour, not just reported on it.
- Deep familiarity with the modern sales tech stack: CRM (Salesforce or HubSpot), sales engagement (Outreach or Salesloft), and revenue analytics tools.
- A clear point of view on AI in sales - you've evaluated or deployed AI tools in a revenue context and can distinguish real productivity impact from novelty.
- Strong cross-functional communicator: you can take messy, qualitative field signals and package it into crisp, prioritised requirements for Product and Engineering.
- Comfortable operating in the space between analysis and execution - you don't wait for someone else to define the problem.
Benefits
- Stock grant opportunities dependent on your role, employment status and location
- Additional perks and benefits based on your employment status and country
- The flexibility of remote work, including optional WeWork access
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