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 how AI companies monetize their products. Metronome directly influences how the next generation of AI infrastructure gets built—and our AI Native Solutions team drives this influence with our fastest-growing customer segment.</p> <p>Metronome is a startup. As such, there's a lot still to figure out and tremendous room for high-agency, curious individuals to impact our direction and strategy, build processes from zero to one, and generally make a difference. If this excites you as much as it excites us, let's talk.</p> </div> <h2>Qualifications</h2> <p>This is roughly the set of things we’re looking for - if you’re interested in this role and don’t meet some of these on paper, err on the side of applying!</p> <ul> <li>3+ years of experience in technical, customer-facing roles involving SaaS products (for example, sales engineering, solutions architecture, technical account management, implementation consulting)</li> <li>1+ years of experience working with, at, or selling to AI companies - you understand how AI-first companies operate, their unique challenges, and the market landscape</li> <li>Proven ability to own and drive customer-facing engagements and relationships independently</li> <li>Strong technical aptitude with the ability to quickly learn new systems, write code snippets, and guide technical implementations</li> <li>Experience working in high-velocity environments where speed-to-value matters and customers need to launch quickly</li> <li>Excellent communication skills with technical buyers (engineers, product managers, technical founders)</li> </ul> <div> <h3>Bonus Points</h3> <ul> <li>Deep knowledge of the quote-to-cash space, including integrating with or otherwise interacting with tools like Salesforce, NetSuite, CPQs, etc.</li> <li>Experience as a software engineer, product manager, or in other technical roles.</li> <li>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.</li> <li>Familiarity and enthusiasm for AI developer tooling (Cursor, Lovable, Vercel, LangChain, etc.) and the broader AI infrastructure ecosystem</li> </ul> <h3><strong>Compensation</strong></h3> <p>The estimated salary range for this role is $203,400 - 305,000 OTE. In addition to your salary, Metronome offers a competitive total rewards package, including but not limited to market-benched equity, incentive pay, comprehensive health benefits, and other benefits listed below.&nbsp;</p> <p>The actual base salary will vary based on factors including market value, individual qualifications objectively assessed during the interview process, and previous experience. The listed range above should serve as a guideline and may be modified at any time.</p> <p>We believe that compensation reflects the expected impact you will have at the company, relative to the market value of your role. We also conduct an annual pay audit to ensure pay is fair, indexed to market value, and that pay takes into account continued performance at Metronome. If you would like to learn more about our philosophy or about why we are all billing nerds, send us a message. We’d love to talk!</p> </div><div class="content-conclusion"><p><em>We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.</em></p></div>