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 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.
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
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