What are the responsibilities and job description for the Sr. Solutions Engineer position at FTS, Inc.?
Overview
A rapidly growing, product-led technology company in the financial services space is building out a Solutions Engineering function to support a growing enterprise customer base. This role sits closely aligned with Product and plays a critical role in turning newly signed customers into successful, live deployments.
This is a highly visible position where you will own implementations end-to-end while helping shape how delivery is executed across the organization.
Responsibilities
Implementation Ownership
- Lead full lifecycle implementations of a complex SaaS platform from kickoff through go-live
- Act as the primary point of contact across internal teams and external stakeholders
- Coordinate across product, engineering, and customer teams to ensure on-time delivery
Pre-Sales & Discovery Support
- Partner with commercial teams to support technical discovery and solution scoping
- Translate business requirements into actionable implementation plans
Process & Playbook Development
- Build and refine repeatable implementation frameworks, documentation, and best practices
- Identify opportunities to standardize workflows and reduce delivery timelines
AI-Driven Delivery Optimization
- Leverage AI tools to accelerate implementation tasks (requirements, mapping, documentation, etc.)
- Continuously test and improve ways to increase efficiency across delivery cycles
Post-Go-Live Transition
- Ensure clean handoff to post-implementation teams with clear documentation and system readiness
Qualifications
- 5-10 years in solutions engineering, implementation, or technical consulting within SaaS or fintech
- Experience leading complex enterprise implementations involving integrations and data workflows
- Strong ability to operate across both technical and business stakeholders
- Proven program/project management capability in client-facing environments
- Comfort working with APIs, data structures, and system integrations
- Experience using AI tools in a professional workflow is strongly preferred
- Financial services or lending domain exposure is a plus