About this role
About Us
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.
Our platform computes hundreds of millions of invoices per billing period and continues to scale rapidly to accommodate new customers. We save them days of development time and manual invoicing, enabling them to use their billing data to better serve their customers. Our customers love our product and approach, and we’re humbled to work with amazing companies like OpenAI, Anthropic, NVIDIA, TogetherAI, HuggingFace, and many others.
You'll be joining an experienced team that includes founders who have successfully built and sold startups before. Our Stripes have direct experience building and scaling teams through massive growth at companies like Dropbox, Palantir, and MongoDB. You'll be joining Stripe and be part of the holistic Stripe platform approaching monetization.
About the Role
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. Unlike traditional sales engineering roles, this position owns the large parts of if not all of the deal cycle - from first call through technical win - and gets hands-on with implementation to ensure customers go live quickly.
As an AI Native Solutions Architect, you'll be the primary technical owner for fast-moving AI companies that may need to launch usage-based billing on tight timelines. This means:
Owning the technical win:
• Taking qualified inbound leads and driving them through discovery, demo, POC, and technical win
• Using efficient discovery to quickly understand billing challenges, product launch timelines, and technical requirements
• Bringing energy and urgency to every engagement—proactively driving deals forward, identifying blockers early, and building relationships across the customer organization (engineering, finance, product) to create champions
• Running streamlined demos tailored to technical founders and product/engineering teams
Driving hands-on implementation:
• Providing customers with clear, actionable implementation plans to implement their usage-based billing launches
• Writing code snippets, configuration examples, and integration guides to accelerate customer time-to-value
• Pair programming or working alongside customer teams during POCs and initial setup
• Designing up/downstream integrations into prospect systems with a bias toward pragmatic solutions that get them live quickly
Building deep AI market expertise:
• Building relationships with technical founders, engineering leaders, product, and finance teams at AI companies
• Understanding the unique monetization challenges facing LLM providers, generative AI companies (image, video, audio), and AI tooling/wrapper