About The Position

Metronome’s AI Native Solutions team works at the intersection of technical sales, implementation, and customer success, supporting AI-first companies with the pace and specialized needs of their businesses. The role owns much or all of the deal cycle, from the first call through technical win, and contributes hands-on to implementation so customers can launch quickly. As the primary technical owner for fast-moving AI companies, the Solutions Architect leads qualified inbound opportunities through discovery, demos, proofs of concept, and technical win. They identify billing challenges, product timelines, and technical requirements; build relationships across engineering, finance, and product teams; and provide consultative guidance on monetization approaches. They also develop practical implementation plans, code snippets, configuration examples, integration guides, and system integrations, and may pair with customer teams during proofs of concept and initial setup. The role requires developing deep knowledge of AI companies and their monetization challenges, including LLM providers, generative AI companies, and AI tooling or wrapper businesses. The Metronome team operates in a startup-like environment, offering room for high-agency individuals to help shape strategy, establish processes, and influence how AI companies monetize their products.

Requirements

  • 10 or more 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, their challenges, and the market landscape.
  • 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 matters and customers need to launch quickly.
  • Excellent communication skills with technical buyers, including engineers, product managers, and technical founders.

Nice To Haves

  • Deep knowledge of the quote-to-cash space, including experience integrating with or interacting with 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, particularly selling to technical buyers in engineering and product organizations, or selling as a founding or early salesperson at a startup.
  • Familiarity with and enthusiasm for AI developer tooling such as Cursor, Lovable, Vercel, and LangChain, and the broader AI infrastructure ecosystem.

Responsibilities

  • Own customer technical engagements from qualified inbound lead through discovery, demo, proof of concept, and technical win.
  • Quickly understand customers’ billing challenges, product launch timelines, and technical requirements.
  • Drive deals forward, identify blockers early, and build relationships with customer engineering, finance, and product teams.
  • Run streamlined demos tailored to technical founders and product and engineering teams.
  • Provide actionable implementation plans for customers launching usage-based billing.
  • Write code snippets, configuration examples, and integration guides to accelerate customer time-to-value.
  • Pair program or work alongside customer teams during proofs of concept and initial setup.
  • Design pragmatic upstream and downstream integrations with prospect systems to help customers launch quickly.
  • Build relationships with technical founders, engineering leaders, product teams, and finance teams at AI companies.
  • Advise prospects on AI monetization, pricing and packaging strategy, and implementation.
  • Stay current on AI industry trends, pricing models, and competitive dynamics.
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