Solutions Architect, Metronome (AI Native)

Accountabilities:: 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. Requirements: 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. Benefits: 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.