Solutions Architect, Metronome (AI Native)
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Key details
- Location
- United States
- Work style
- Remote
- Level
- Senior
- Job type
- Full-time
- Experience
- 10–13 yrs
- Function
- Sales & Solutions
- Focus area
- other
- Posted
- 5h ago
Skills
About the role
This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Solutions Architect, Metronome (AI Native) based in the United States.
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.
Accountabilities:
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Own the technical sales cycle: Lead qualified customer opportunities from initial discovery through demonstrations, proof of concepts (POCs), technical validation, and successful technical outcomes.
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Understand customer requirements: Conduct focused discovery sessions to identify billing challenges, product launch timelines, technical needs, and integration requirements.
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Drive customer engagement: Build strong relationships with engineering, product, finance, and technical leadership teams, proactively identifying obstacles and maintaining momentum throughout the sales process.
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Deliver tailored demonstrations: Develop and present streamlined product demonstrations adapted to the needs of technical founders, engineers, and product teams.
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Support implementation and onboarding: Create actionable implementation plans, integration guides, configuration examples, and code snippets to help customers launch usage-based billing solutions efficiently.
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Provide hands-on technical guidance: Collaborate directly with customer engineering teams through pair programming, proof-of-concept development, and initial system configuration.
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Design integration solutions: Develop practical upstream and downstream integration approaches that connect billing systems with customers' existing technical environments.
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Develop AI market expertise: Build relationships with AI companies and understand the monetization challenges of large language models, generative AI applications, AI infrastructure, and AI developer tools.
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Advise on monetization strategies: Provide consultative guidance on usage-based pricing, packaging, and implementation approaches aligned with customer business models.
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Stay ahead of industry developments: Monitor AI market trends, emerging technologies, pricing models, and competitive dynamics to continuously improve customer recommendations.
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Build scalable practices: Contribute to the development of processes, tools, and best practices that strengthen the solutions architecture function as the business grows.
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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.
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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.
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Customer relationship management: Demonstrated ability to independently manage complex customer engagements, build trusted relationships, and influence technical and business stakeholders.
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Technical expertise: Strong technical aptitude,