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.
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
CompensationThe 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.
