Solutions Architect, Metronome (AI Native)
New
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MetronomeAI billing
US remote-eligible positionFull-TimeSenior
SalaryAnnual US base salary range of $218,100–$327,100
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Job Details
- Experience
- At least 10 years of experience in customer-facing technical roles involving SaaS products
- Required Skills
- SalesforceSaaSNetSuite
Requirements
- 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.
- Experience working with, within, or selling to AI companies, with an understanding of AI-first business models, technical requirements, and market dynamics.
- Ability to independently manage complex customer engagements and build trusted relationships with technical and business stakeholders.
- Technical aptitude, including the ability to learn new systems quickly, write code snippets, explain integrations, and guide technical implementations.
- Experience delivering practical technical solutions in fast-paced environments requiring rapid deployment and time-to-value.
- Ability to explain complex technical concepts clearly to engineers, product managers, founders, and other decision-makers.
- Strong analytical thinking, adaptability, and a hands-on approach to technical challenges and implementation obstacles.
- Knowledge of quote-to-cash processes and integrations involving Salesforce, NetSuite, CPQ platforms, or similar enterprise systems is preferred.
- Experience as a software engineer, product manager, or in another technical position is an advantage.
- Background in technical sales, selling to engineering and product organizations, or early-stage or founding sales at a startup is preferred.
- Familiarity with AI developer tools and platforms such as Cursor, Lovable, Vercel, and LangChain, and the broader AI infrastructure ecosystem is preferred.
Responsibilities
- Lead qualified customer opportunities from discovery through demonstrations, proof of concepts, technical validation, and technical outcomes.
- Conduct discovery sessions to identify billing challenges, launch timelines, technical needs, and integration requirements.
- Build relationships with engineering, product, finance, and technical leadership teams, and maintain momentum through the sales process.
- Develop and present product demonstrations tailored to technical founders, engineers, and product teams.
- Create implementation plans, integration guides, configuration examples, and code snippets to support customer onboarding.
- Collaborate with customer engineering teams through pair programming, proof-of-concept development, and initial system configuration.
- Develop upstream and downstream integration approaches connecting billing systems with customers' technical environments.
- Advise customers on usage-based pricing, packaging, and implementation approaches aligned with their business models.
- Monitor AI market trends, emerging technologies, pricing models, and competitive dynamics to improve customer recommendations.
- Develop processes, tools, and best practices for the solutions architecture function.
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