Solutions Architect, Metronome (AI Native)
Stripe · San Francisco, Seattle, US-Remote
About this role
## Who we are **About Stripe** Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet. **About the team** Metronome is the leading usage-based billing platform built for modern software companies. With Metronome (now a Stripe product), companies can launch products faster, offer any pricing model, and streamline finance workflows without writing code. Metronome computes hundreds of millions of invoices per billing period and continues to scale rapidly. It helps customers save days of development time and manual invoicing, and use billing data to better serve their customers. ## What you’ll do The **Metronome AI Native Solutions** team operates at the intersection of technical sales, implementation, and customer success—purpose-built for the velocity and unique needs of AI-first companies. As an **AI Native Solutions Architect**, you’ll be the primary technical owner for fast-moving AI companies that need to launch usage-based billing on tight timelines. This means: ### Owning the technical win - Take qualified inbound leads and drive them through discovery, demo, POC, and technical win - Use efficient discovery to quickly understand billing challenges, product launch timelines, and technical requirements - Bring energy and urgency to engagements—proactively drive deals forward, identify blockers early, and build relationships across engineering, finance, and product to create champions - Run streamlined demos tailored to technical founders and product/engineering teams ### Driving hands-on implementation - Provide clear, actionable implementation plans for usage-based billing launches - Write code snippets, configuration examples, and integration guides to accelerate time-to-value - Pair program or work alongside customer teams during POCs and initial setup - Design upstream/downstream integrations with a bias toward pragmatic solutions that get customers live quickly ### Building deep AI market expertise - Build relationships with technical founders, engineering leaders, product, and finance teams at AI companies - Understand monetization challenges for LLM providers, generative AI (image/video/audio), and AI tooling/wrapper companies—providing consultative guidance on pricing/packaging and implementation - Stay current on AI industry trends, pricing models, and competitive dynamics ## Who you are This is roughly the set of things we’re looking for—if you’re interested and don’t meet every item, we still encourage you to apply. ### Minimum requirements - **10+ years** of experience in technical, customer-facing roles involving SaaS products (e.g., sales engineering, solutions architecture, technical account management, implementation consulting) - Experience working with, at, or selling to **AI companies** - Proven ability to **own and drive customer-facing engagements** independently - Strong technical aptitude: quickly learn new systems, write code snippets, and guide implementations - Experience in **high-velocity environments** where speed-to-value matters - Excellent communication skills with technical buyers (engineers, product managers, technical founders) ### Preferred qualifications - Deep knowledge of the **quote-to-cash** space (e.g., integrating with Salesforce, NetSuite, CPQs
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