Description We're building an agentic AI platform that helps enterprises transform complex business workflows into AI-powered operations. We work with leading global companies to identify high-value workflows, deploy AI agents into real business environments, and help organizations move from experimentation to measurable enterprise impact. We believe AI adoption inside the enterprise isn't just a technology challenge. It requires business context, workflow understanding, change management, trust, ownership, and a clear path to value. That's where this role comes in. We are a well-funded, early-stage startup, building our Founding Solutions Engineering team to help build and own our enterprise customer motion from the ground up. This role is perfect for a hands-on, technically deep builder who thrives in fast-moving environments, enjoys making things work in the real world, and partners closely with founders, Product, and R&D to deploy and scale complex, AI-driven enterprise solutions. You will own the technical side of the post-sale customer journey, from deployment and integration through adoption, expansion, and ongoing success, while helping define how our delivery function evolves as we grow. Requirements Your Impact Customer Onboarding & Process Analysis • Engage with customers post-close to understand workflows, operational processes, and deployment requirements. • Translate findings into clear implementation plans for AI-powered solutions. Data, AI Models & Workflow Development • Partner with customers to assess data readiness and gather inputs for AI workflows. • Configure and integrate AI components into tailored, AI-driven workflows. • Collaborate with R&D to close data gaps and extend product capabilities when needed. Deployment & Proof of Value • Own end-to-end solution deployment and ensure models meet performance and business value expectations. • Define success metrics and drive adoption post-launch. Integration, Security & Rollout • Lead integrations with enterprise systems (e.g., Finance, ERP, email platforms), ensuring scalability and security. • Guide customers through security, compliance, and IT approval processes. • Plan and execute rollout to drive smooth implementation and adoption. What It Takes • 7+ years of experience in Implementation Engineering, Solutions Engineering, Technical Consulting, Professional Services or a similar post-sale customer-facing role. • Strong analytical skills with the ability to translate business needs into technical solutions. • Strong understanding of AI concepts and their enterprise applications. • High adoption of modern AI tools and workflows. • Experience supporting deployments across cloud environments and enterprise system integrations. • Excellent communication and stakeholder management skills. • Demonstrated ability to manage solution delivery across the full post-sale customer lifecycle. Nice to Have • Experience with process mining, workflow mapping, or operational analytics • Familiarity with enterprise platforms • Financial services industry experience Compensation • The expected salary for this role is $180,000 to $230,000 OTE. This is a good-faith estimate but does not include equity or other forms of compensation. Pay will be based on experience level, and those outside the salary band are welcome to apply.