תיאור המשרה
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.
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.
Experience in the enterprise segment, specifically within the Israeli market, preferably in traditional industries such as financial services, insurance, and banking.
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.
Excellent Hebrew proficiency (daily client communications are in Hebrew)
Nice to Have
Experience with process mining, workflow mapping, or operational analytics
Familiarity with enterprise platforms
Financial services industry experience
על Reindeer
Reindeer is an AI platform that deploys and manages intelligent agents for complex, human-intensive workflows across the enterprise. We help teams move from “AI that answers” to AI that reliably executes work inside real business processes, with clear accountability and governance.
Reindeer is built for environments where accuracy, auditability, and repeatability matter: unstructured inputs, multi-step decisioning, handoffs across functions, and systems that can’t be ripped and replaced. Our agents operate within existing tools and workflows, extracting and structuring information, identifying gaps, routing for review when needed, and maintaining end-to-end visibility so teams can trust outcomes at scale.
To keep performance consistent over time, Reindeer uses human-in-the-loop training and workflow-grounded feedback loops to eliminate drift and hallucinations, and continuously improve reliability as edge cases appear. This approach enables enterprises to scale AI adoption safely, without turning every new use case into a bespoke project.
The result is faster cycle times, fewer manual touchpoints, and more consistent execution across teams while keeping humans in control where it matters most.
We've successfully automate workflows like payment approvals, quote management, and document processing for Fortune 100 companies.