Solutions Engineer, AI Native

<div class="content-intro"><h2>About Us</h2> <p>Metronome is the leading usage-based billing platform built for modern software companies. With Metronome, companies can launch products faster, offer any pricing model, and streamline finance workflows without writing code.</p> <p>Our platform computes millions of invoices per billing period and is scaling rapidly to accommodate new customers, saving them hours of development time and manual invoicing and enabling them to use consumption data to better serve their customers. Our customers love our product and approach, and we’re humbled to work with amazing companies like OpenAI, NVIDIA, Confluent, and Anthropic.</p> <p>You'll be joining an experienced team that includes founders who have successfully built and sold startups before. Our founders and employees also have direct experience building and scaling teams through massive growth at companies like Dropbox, Clever, and New Relic. On the back of this experience and our success-to-date, we’ve raised over $128M from leading investors including NEA, Andreessen Horowitz, General Catalyst, Elad Gil, and Workday Ventures. We’re also proud to have founders and executives of companies like Segment, Plaid, Looker, Gitlab, Confluent, HashiCorp, and Snowflake, as investors who have experienced the pain we're solving firsthand.</p></div><h2>About the Role</h2> <div> <p>The AI Native Solutions team at Metronome 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.</p> <p>As an AI Native Solutions Engineer, you'll be the primary technical owner for fast-moving AI companies that may need to launch usage-based billing on tight timelines.</p> <p><strong>Note that this role requires you to be in San Francisco, New York City, or Chicago.</strong></p> <h2>What You'll Do</h2> <p><strong>Owning the technical win:</strong></p> <ul> <li>Taking qualified inbound leads and driving them through discovery, demo, POC, and technical win</li> <li>Using efficient discovery to quickly understand billing challenges, product launch timelines, and technical requirements</li> <li>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</li> <li>Running streamlined demos tailored to technical founders and product/engineering teams</li> </ul> <p><strong>Driving hands-on implementation:</strong></p> <ul> <li>Providing customers with clear, actionable implementation plans to implement their usage-based billing launches</li> <li>Writing code snippets, configuration examples, and integration guides to accelerate customer time-to-value</li> <li>Pair programming or working alongside customer teams during POCs and initial setup</li> <li>Designing up/downstream integrations into prospect systems with a bias toward pragmatic solutions that get them live quickly</li> </ul> <p><strong>Building deep AI market expertise:</strong></p> <ul> <li>Building relationships with technical founders, engineering leaders, product, and finance teams at AI companies</li> <li>Understanding the unique monetization challenges facing LLM providers, generative AI companies (image, video, audio), and AI tooling/wrapper companies and providing consultative guidance when prospects need direction on pricing and packaging strategy and implementation</li> <li>Staying current on AI industry trends, pricing models, and competitive dynamics</li> </ul> <p>This role is perfect for someone who thrives in high-velocity environments, loves solving technical problems in real-time, and wants to be on the front lines of ho ... (truncated, view full listing at source)