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United States
Remote only
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.
Own the technical sales cycle: Lead qualified customer opportunities from initial discovery through demonstrations, proof of concepts (POCs), technical validation, and successful technical outcomes.
Understand customer requirements: Conduct focused discovery sessions to identify billing challenges, product launch timelines, technical needs, and integration requirements.
Drive customer engagement: Build strong relationships with engineering, product, finance, and technical leadership teams, proactively identifying obstacles and maintaining momentum throughout the sales process.
Deliver tailored demonstrations: Develop and present streamlined product demonstrations adapted to the needs of technical founders, engineers, and product teams.
Support implementation and onboarding: Create actionable implementation plans, integration guides, configuration examples, and code snippets to help customers launch usage-based billing solutions efficiently.
Provide hands-on technical guidance: Collaborate directly with customer engineering teams through pair programming, proof-of-concept development, and initial system configuration.
Design integration solutions: Develop practical upstream and downstream integration approaches that connect billing systems with customers' existing technical environments.
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.
Advise on monetization strategies: Provide consultative guidance on usage-based pricing, packaging, and implementation approaches aligned with customer business models.
Stay ahead of industry developments: Monitor AI market trends, emerging technologies, pricing models, and competitive dynamics to continuously improve customer recommendations.
Build scalable practices: Contribute to the development of processes, tools, and best practices that strengthen the solutions architecture function as the business grows.
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.
Competitive compensation: Annual US base salary range of $218,100–$327,100, depending on experience, qualifications, location, and career level.
Performance incentives: Potential eligibility for company bonuses, sales commissions, or other incentive compensation.
Equity opportunities: Potential equity compensation as part of the overall rewards package.
Retirement benefits: Access to a 401(k) retirement savings plan.
Healthcare coverage: Medical, dental, and vision insurance.
Wellness support: Wellness stipends to support employee well-being.
Remote flexibility: US remote-eligible position, with opportunities to attend office meetings, team gatherings, and company events when appropriate.
Professional growth: Opportunity to work with innovative AI businesses, cutting-edge technologies, and experienced teams in a rapidly evolving industry.
Meaningful impact: Direct involvement in shaping monetization infrastructure and helping ambitious AI companies scale their businesses.