AI Native Solutions Architect — Own the Technical Win

Stripe

Greater London

On-site

GBP 90,000 - 130,000

Full time

9 days ago
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Job summary

Stripe is seeking an AI Native Solutions Architect for the Metronome AI Native Solutions team. You will own the technical win for fast-moving AI companies, guiding from first call through technical win and hands-on implementation to ensure rapid go-live.

You’ll craft tailored demos, design integration plans, and accelerate time-to-value with hands-on coding and guidance, while building deep AI market expertise and coordinating with engineering, product, and finance stakeholders.

Qualifications

  • 3+ years in technical, customer-facing SaaS roles (sales eng, solutions architecture, ACTM, implementation)
  • 1+ years working with AI companies or selling to AI teams
  • Proven ability to own and drive customer-facing engagements independently
  • Strong technical aptitude with ability to learn new systems and write code snippets
  • Experience in high-velocity environments where speed-to-value matters
  • Excellent communication with technical buyers (engineers, product managers)

Responsibilities

  • Own the technical win: guide inbound leads through discovery, demos, POC, and technical win
  • Drive hands-on implementation: deliver clear implementation plans and write integration guides
  • Build AI market expertise: advise on pricing, packaging, and AI industry trends
  • Collaborate across engineering, finance, product, and customer teams to create champions

Skills

SaaS customer-facing
AI market knowledge
Customer engagement
Technical aptitude
High-velocity environment
Technical communication

Job description

Stripe is seeking an AI Native Solutions Architect for the Metronome AI Native Solutions team. You will own the technical win for fast-moving AI companies, guiding from first call through technical win and hands-on implementation to ensure rapid go-live.

You’ll craft tailored demos, design integration plans, and accelerate time-to-value with hands-on coding and guidance, while building deep AI market expertise and coordinating with engineering, product, and finance stakeholders.

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