Solutions Engineer

✨ TL;DR – Why This Role Matters We're building something new. As Scribe's first-ever AI Solutions Engineer, you'll be an expert in Scribe’s most complex and market-changing products, bridging the gap between closing the deal and delivering transformational outcomes. You, in partnership with your AE and CSM team, will earn the trust of F1000 executives in a discovery call as a technical expert for Scribe’s Workflow AI capabilities, designing groundbreaking solutions and communicating the art of the possible. Then you’ll roll up your sleeves to configure and lead a Proof of Concept for those solutions in the morning. This is a founding position that will define how Scribe wins and delivers on its most strategic product, Scribe Optimize. You'll build the playbook from scratch, work shoulder-to-shoulder with our Sales, CS, and Product teams, and leave your fingerprints on the way the company scales. 📌 About the Role As an AI Solutions Engineer at Scribe, you will: - Own the technical layer of enterprise deals, partnering closely with Account Executives from discovery through close — running tailored Optimize demos, leading POC planning sessions, and designing proof of concepts that tie Scribe's Workflow AI capabilities to measurable customer outcomes. - Execute Scribe Optimize POCs, ensuring prospects see immediate value. - Build and communicate ROI narratives grounded in real workflow data — helping customers quantify time saved, cost avoided, and efficiency gained from Optimize recommendations. - Serve as a bridge between GTM and Product, acting as the primary voice of the customer for Optimize — documenting what's working, what's not, and what customers need next to inform the roadmap. - Develop repeatable playbooks for pre-sales technical motions, POC execution, and post-sale onboarding — turning first-principles learnings into scalable assets for the broader team. - Address technical and security questions during enterprise deal cycles, working cross-functionally with Engineering to resolve configuration issues and accelerate procurement. - Maintain deep technical knowledge across Scribe’s Workflow AI capabilities, serving as a resource to pre- and post-sales teams. 🔍 Check out this post https://scribe.com/library/sales-success-summer-summit-2025-takeaways-from-our-newest-team-members from members of our GTM team about what it's like to work at Scribe. 🌎 Location Strongly prefer candidates based in San Francisco or New York. This role will include travel up to 30% to meet with top tier customers and prospects. For those based in the SF Bay Area, this role will be hybrid 2-3 days a week out of our SOMA office. 🧩 What Makes You a Great Fit You'll thrive in this role if: - You have 5+ years in a Solutions Engineering, Solutions Architecture, Technical Account Management, or similar pre/post-sales technical role at a high growth SaaS company — and you're equally comfortable leading a technical demo with a VP of Operations and running a configuration setup call with a system admin. - You have strong AI fluency — you understand how large language models work, can speak credibly about LLM architecture, prompt design, model behavior, and AI output quality, and you're excited about the frontier of what Workflow AI makes possible. - You're comfortable working directly with AI/ML Engineering teams — translating customer requirements into technical context, participating in solutioning conversations, and advocating for customer-specific technical needs without losing the thread of business outcomes. - You can understand and articulate Scribe's Workflow AI technical framework — including how workflow data is captured, processed, and surfaced as insights — and you can explain it clearly to both technical and non-technical audiences. - You understand enterprise workflows and operational processes — you've worked with teams running on tools like Salesforce, ServiceNow, and SAP, and you know how companies think about process improvement...