Solutions Architect (Santa Rosa)

Presales Solution Architect – US Series AI Start-up - AI/ML Location: San Francisco Bay Area (Hybrid) Salary: Market-leading salary package + stock + benefits

The Role As a Presales Solution Architect, you’ll operate at the intersection of enterprise AI — helping organizations unlock predictive intelligence from the structured data that powers their business. You’ll work hand-in-hand with Enterprise Account Executives and technical stakeholders to identify architectural challenges, design scalable AI solutions, and guide customers through high-impact technical evaluations that directly drive revenue.

This role is perfect for someone energized by solving complex technical problems, engaging deeply with customers, and clearly articulating how advanced AI capabilities translate into measurable business outcomes. If you thrive in fast-growth environments and want to help enterprises operationalize next-generation AI at scale, you’ll excel here.

What You’ll Do & Achieve Drive technical discovery sessions to identify high-impact, high-value use cases where enterprise AI delivers measurable ROI. Collaborate with Sales to create compelling demos, run competitive benchmarks, and prototype solutions on customer datasets to accelerate deals. Own the technical vision for assigned customers, cultivating deep relationships with senior stakeholders and shaping long-term adoption strategies. Lead end-to-end solution delivery, coordinating cross-functional teams — including engineers, IT, governance, and business stakeholders — to remove blockers and ensure alignment. Architect scalable, production-ready solutions and integration patterns that perform reliably in complex enterprise environments, from on-prem systems to cloud VPCs and legacy infrastructure. Capture patterns and insights from deployments to generate high-impact engineering feedback, informing product and model development. Develop repeatable deployment strategies, reference architectures, and best-practice playbooks to accelerate the impact of the broader Solutions Architect team. Travel up to 50% of the time to engage directly with customers and deliver hands-on solution experiences.

Who You Are 7+ years in customer-facing technical roles (e.g., Solutions Architect, Sales Engineer, ML Engineer, Data Scientist) with proven success delivering complex AI or ML solutions. Track record leading enterprise-scale technical implementations, spanning modern Generative AI or traditional machine learning systems, across cloud and on-prem environments. Experienced navigating multi-stakeholder enterprise environments, balancing competing priorities, and driving deployments to completion. Exceptional communicator, capable of translating complex technical concepts for both technical and executive audiences. Hands-on technical expertise in data manipulation, rapid prototyping, and analysis using tools such as Python, Pandas, and SQL. Collaborative, cross-functional mindset — skilled at balancing trade-offs and working effectively across teams to achieve outcomes. Self-starter with the ability to own initiatives end-to-end, quickly fill knowledge gaps, and deliver results.

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