Solutions Architect, Metronome (AI Native)

In this role, you will help fast-growing AI companies design and implement scalable usage-based billing solutions that support their business models. You will operate at the intersection of technical consulting, solution architecture, sales, and customer success, owning customer engagements from initial discovery through technical validation and implementation. Working closely with technical founders, engineering leaders, product teams, and finance stakeholders, you will translate complex business needs into practical technical solutions. You will play a key role in accelerating customer launches, optimizing monetization strategies, and improving time-to-value. This is an opportunity to join a high-growth, startup-minded environment where innovation, autonomy, and hands-on problem-solving are highly valued. Your expertise will help shape how the next generation of AI businesses monetize and scale their products.

• Professional experience: At least 10 years of experience in customer-facing technical roles involving SaaS products, such as solutions architecture, sales engineering, technical account management, or implementation consulting.

• AI industry knowledge: Previous experience working with, within, or selling to AI companies, with a strong understanding of AI-first business models, technical requirements, and market dynamics.

• Customer relationship management: Demonstrated ability to independently manage complex customer engagements, build trusted relationships, and influence technical and business stakeholders.

• Technical expertise: Strong technical aptitude, including the ability to learn new systems quickly, write code snippets, explain integrations, and guide customers through technical implementations.

• Implementation experience: Proven ability to deliver practical technical solutions in fast-paced environments where rapid deployment and time-to-value are essential.

• Communication skills: Excellent verbal and written communication skills, with the ability to explain complex technical concepts clearly to engineers, product managers, founders, and other decision-makers.

• Problem-solving abilities: Strong analytical thinking, adaptability, and a hands-on approach to resolving technical challenges and overcoming implementation obstacles.

• Preferred experience: Knowledge of quote-to-cash processes and integrations involving Salesforce, NetSuite, CPQ platforms, or similar enterprise systems.

• Additional technical background: Previous experience as a software engineer, product manager, or in another technical position is an advantage.

• Commercial experience: Background in technical sales, selling to engineering and product organizations, or working as an early-stage or founding salesperson at a startup.

• AI ecosystem familiarity: Knowledge of AI developer tools and platforms such as Cursor, Lovable, Vercel, and LangChain, as well as the broader AI infrastructure ecosystem.

• Personal qualities: Entrepreneurial mindset, ownership, curiosity, initiative, and the ability to thrive in an evolving environment with significant autonomy.