Solutions Engineer, AI Native

Metronome • San Francisco, CA

7d • $203,400 - $305,000 • Onsite

About The Position

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 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 Engineer, you'll be the primary technical owner for fast-moving AI companies that may need to launch usage-based billing on tight timelines. This role requires you to be in San Francisco, New York City, or Chicago.

Requirements

• 3+ years of experience in technical, customer-facing roles involving SaaS products (for example, sales engineering, solutions architecture, technical account management, implementation consulting)
• 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
• Proven ability to own and drive customer-facing engagements and relationships independently
• Strong technical aptitude with the ability to quickly learn new systems, 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 (engineers, product managers, technical founders)

Nice To Haves

• Deep knowledge of the quote-to-cash space, including integrating with or otherwise interacting with tools like Salesforce, NetSuite, CPQs, etc.
• Experience as a software engineer, product manager, or in other technical roles.
• 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 and enthusiasm for AI developer tooling (Cursor, Lovable, Vercel, LangChain, etc.) and the broader AI infrastructure ecosystem

Responsibilities

• 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 companies and providing consultative guidance when prospects need direction on pricing and packaging strategy and implementation
• Staying current on AI industry trends, pricing models, and competitive dynamics

Benefits

• market-benched equity
• incentive pay
• comprehensive health benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed