# Solutions Architect, Metronome

**Company:** [Stripe](https://hotfix.jobs/companies/stripe)
**Location:** London, United Kingdom
**Role:** Solutions Architecture
**Experience:** 3+ years
**Skills:** SaaS, Sales Engineering, Solutions Architecture, Technical Account Management, Implementation Consulting, Proof Of Concept, Usage-Based Billing, Code Snippets, System Integrations, Salesforce, NetSuite, CPQ, Cursor, Vercel, LangChain
**Posted:** 2026-09-08

> Own technical sales and implementation engagements for AI-first customers launching usage-based billing. The role combines discovery, demos, proof-of-concepts, hands-on integrations, and consultative guidance for technical founders and engineering, product, and finance teams.

## Job Description

## Responsibilities
- Own qualified inbound leads through discovery, demos, proof-of-concept engagements, and technical wins.
- Identify billing challenges, product launch timelines, technical requirements, and engagement blockers.
- Build relationships with engineering, finance, product, and technical founder stakeholders.
- Run streamlined demos tailored to technical founders and product and engineering teams.
- Create actionable implementation plans for usage-based billing launches.
- Write code snippets, configuration examples, and integration guides.
- Pair program with customer teams during proof-of-concept engagements and initial setup.
- Design pragmatic upstream and downstream integrations with prospect systems.
- Advise AI companies on monetization, pricing, packaging, and implementation strategies.
- Build expertise in AI industry trends, pricing models, and competitive dynamics.

## Requirements
- 3+ years of experience in technical, customer-facing SaaS roles such as sales engineering, solutions architecture, technical account management, or implementation consulting.
- 1+ year of experience working with, at, or selling to AI companies.
- Ability to independently own customer-facing engagements and relationships.
- Strong technical aptitude, including the ability to learn new systems, write code snippets, and guide technical implementations.
- Experience in high-velocity environments where speed to value is important.
- Excellent communication skills with engineers, product managers, and technical founders.

## Nice-to-haves
- Knowledge of quote-to-cash processes and tools such as Salesforce, NetSuite, and CPQs.
- Experience as a software engineer, product manager, or in another technical role.
- Experience in a pure sales role, especially selling to technical buyers or as an early-stage startup salesperson.
- Familiarity with AI developer tooling such as Cursor, Lovable, Vercel, and LangChain.
- Knowledge of the broader AI infrastructure ecosystem.

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