Solutions Architect, AI

At Stripe, a Most Loved Workplace® certified employer in the Financial Services space, Economic infrastructure for the internet, powering ambitious businesses globally..

<h2><strong>Who we are</strong></h2>

<h3><strong>About Stripe</strong></h3>

<p>Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.</p>

<h3><strong>About the team</strong></h3>

<p>The AI Solutions Architecture team is a group of specialists with a deep understanding of Stripe's products that partners with AI users to realize their full potential through the adoption of prescriptive solutions that drive their growth and success. SAs on this team leverage their expertise in the broader subscription, billing, and payments industry to influence revenue growth across Stripe’s product portfolio, and collaborate with sales, support, product management, and Stripe’s executive team to provide the best experience to our most valued customers.  </p>

<h2><strong>What you’ll do</strong></h2>

<p>As an AI Solutions Architect, you'll be a key technical advisor driving the adoption of Stripe's product solutions among top AI companies. You'll collaborate with cross-functional teams to ensure successful implementations and shape our product roadmap to meet the unique needs of AI businesses. Your role will involve developing innovative billing strategies, engaging with AI founders and technical stakeholders, and positioning Stripe as the go-to monetization partner in the AI ecosystem. You'll have the opportunity to influence the future of AI commerce, tackling complex challenges at a global scale in a dynamic, collaborative environment. Your work will be instrumental in establishing Stripe as the leader in AI monetization infrastructure, driving innovation in the rapidly evolving AI industry.</p>

<h3><strong>Responsibilities</strong> </h3>

<ul>

<li><strong>AI-Specific Technical Expertise</strong>: Become the go-to expert on payments and monetization strategies for AI companies, including real-time metering for APIs, agents, and workflows.</li>

<li><strong>Custom Solution Development</strong>: Architect innovative solutions that address the unique needs of AI businesses, often working with experimental and evolving pricing models.</li>

<li><strong>Product Influence</strong>: Work closely with product and engineering teams to rapidly close key product gaps and shape the roadmap based on AI company needs.</li>

<li><strong>Strategic Partnership</strong>: Collaborate with AEs to engage deeply with AI founders and technical stakeholders, positioning Stripe as a strategic partner in their monetization journey.</li>

<li><strong>Thought Leadership</strong>: Contribute to shifting Stripe's brand perception among AI founders and builders through technical demonstrations, hackathons, and meetups.</li>

<li><strong>Implementation Support</strong>: Work directly with Professional Services, Partners and Product teams to ensure successful implementation and activation of core payments, Stripe Billing and usage-based billing for AI clients.</li>

<li><strong>Competitive Intelligence</strong>: Stay informed about alternative solutions in the market and develop strategies to position Stripe's offerings effectively.</li>

<li><strong>Cross-functional Leadership</strong>: Act as a bridge between sales, product, engineering, and marketing teams, ensuring alignment on AI-specific billing strategies and customer needs.</li>

</ul>

<h2><strong>Who you are</strong></h2>

<p>We're seeking a passionate, adaptable professional who thrives on innovation and isn't afraid to challenge the status quo. The ideal candidate combines deep technical expertise in billing systems with a strong understanding of AI business models and monetization strategies. You should be comfortable engaging with technical founders, articulating complex concepts to diverse audiences, and staying at the forefront of AI industry trends. You're a quick learner who thrives in rapidly changing environments and can adapt strategies as the AI landscape evolves. If you're excited about shaping the future of AI monetization and have a track record of success in technical sales or pre-sales roles, we encourage you to apply, even if your experience doesn't exactly match our requirements.</p>

<h3><strong>Minimum requirements</strong></h3>

<ul>

<li>4+ years of experience in technical sales or pre-sales roles, focusing on solution architecture and best practices</li>

<li>Strong technical acumen in API integrations, real-time data processing, and cloud-based architectures</li>

<li>Executive engagement skills and presence, with an ability to establish strong relationships with key decision makers and build credibility at all levels.</li>

<li>Ability to engage with technical founders and engineers at an API level</li>

<li>Excellent communication skills to articulate complex technical concepts to diverse audiences</li>

<li>Experience in the payments/ billing / invoicing / issuing / banking / Fintech space</li>

<li>Passion for staying at the forefront of AI industry trends and monetization strategies</li>

<li>Willingness to travel up to 30% of the time to engage with key AI accounts</li>

</ul>

<h3><strong>Preferred requirements</strong></h3>

<ul>

<li>Experience working with AI companies or deep understanding of AI business models</li>

<li>Expertise in usage-based billing models and their application in AI products</li>

<li>Proven track record of solving complex, ambiguous problems in the billing or AI space</li>

</ul>

<p>This role offers a unique opportunity to shape the future of AI monetization at one of the world's leading fintech companies. Join us in defining how the next generation of AI businesses will scale and succeed.</p>

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