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 ImpactCustomer 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.
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.
Experience with process mining, workflow mapping, or operational analytics
Familiarity with enterprise platforms
Financial services industry experience
Skills Required
- 7+ years of experience in Implementation Engineering, Solutions Engineering, Technical Consulting, Professional Services, or a similar post-sale customer-facing role
- Strong analytical skills and ability to translate business needs into technical solutions
- Strong understanding of AI concepts and 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
- Ability to manage solution delivery across the full post-sale customer lifecycle
- Experience with process mining, workflow mapping, or operational analytics
- Familiarity with enterprise platforms
- Financial services industry experience
What We Do
Reindeer automates backoffice workflows in industries like logistics, supply chain, banking, finance and more. The work we target is manual, time-consuming, and hard to document completely. Our approach is different because we focus on process mining before and after automation. We capture the messy, realistic side of how work gets done, train AI agents with small sample sets, and continuously retrain them with human-in-the-loop processes as your business changes. This keeps AI accurate and prevents the drift and hallucinations that cause implementations to fail. The platform adapts to whatever process creates the most friction for your team. We've successfully automated workflows like payment approvals, quote management, and document processing for Fortune 500 companies like Hellmann Worldwide Logistics and Papaya.
