Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 3
Communication @ 3
GenAI
Generative AI @ 3
LLM @ 3
LangChain @ 2
NetSuite @ 6
Salesforce @ 6
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Who We Are
Stripe is a financial infrastructure platform for businesses. Metronome, now a Stripe product, is a usage-based billing platform for modern software companies. It enables companies to launch products faster, support flexible pricing models, and streamline finance workflows without writing code.
Metronome processes hundreds of millions of invoices per billing period and serves companies including OpenAI, Anthropic, NVIDIA, TogetherAI, and HuggingFace.
Responsibilities
The Metronome AI Native Solutions team operates at the intersection of technical sales, implementation, and customer success. The role owns much of the deal cycle—from the first call through technical win—and supports hands-on implementation so customers can launch quickly.
Owning the Technical Win
- Take qualified inbound leads through discovery, demos, proofs of concept, and technical win.
- Understand billing challenges, product launch timelines, and technical requirements through efficient discovery.
- Drive engagements forward, identify blockers, and build relationships across engineering, finance, and product organizations.
- Run streamlined demos tailored to technical founders and product and engineering teams.
Driving Hands-On Implementation
- Provide actionable implementation plans for usage-based billing launches.
- Write code snippets, configuration examples, and integration guides.
- Pair program or work alongside customer teams during proofs of concept and initial setup.
- Design upstream and downstream integrations into prospect systems using pragmatic solutions that accelerate time to launch.
Building AI Market Expertise
- Build relationships with technical founders, engineering leaders, product teams, and finance teams at AI companies.
- Understand monetization challenges for LLM providers, generative AI companies, and AI tooling and wrapper companies.
- Provide consultative guidance on pricing, packaging strategy, and implementation.
- Stay current on AI industry trends, pricing models, and competitive dynamics.
The Metronome team operates like a startup, offering opportunities to build processes from zero to one and influence team direction and strategy.
Requirements
Minimum Requirements
- 10+ years of experience in technical, customer-facing roles involving SaaS products, such as sales engineering, solutions architecture, technical account management, or implementation consulting.
- Experience working with, at, or selling to AI companies, with an understanding of how AI-first companies operate and their unique challenges.
- Proven ability to independently own and drive customer-facing engagements and relationships.
- Strong technical aptitude, including the ability to learn new systems quickly, write code snippets, and guide technical implementations.
- Experience working in high-velocity environments where speed to value is important and customers need to launch quickly.
- Excellent communication skills with engineers, product managers, technical founders, and other technical buyers.
Preferred Qualifications
- Deep knowledge of the quote-to-cash space, including integrations with or interaction with Salesforce, NetSuite, CPQ systems, and related tools.
- Experience as a software engineer, product manager, or in another technical role.
- Experience in a pure sales role, particularly selling to technical buyers in engineering and product organizations or working as a founding or early salesperson at a startup.
- Familiarity with and enthusiasm for AI developer tooling such as Cursor, Lovable, Vercel, and LangChain, as well as the broader AI infrastructure ecosystem.