Software Engineer- Customer Implementation
Job Title: Customer Implementation Engineer
Onsite Requirements: Remote
Base pay range: $120,000.00/yr - $150,000.00/yr
Job Description:
We're looking for a Customer Success Implementation Engineer to bridge the gap between our cutting-edge AI platform and real-world healthcare workflows.
Responsibilities
- Lead Customer Integrations: Partner with prospective and new customers to deeply understand their clinical and administrative workflows. Design and implement custom integrations to connect our platform with customer systems and data sources.
- Configure AI Workflows: Author and tailor AI agent configurations for each client's use case, translating business requirements into automated workflows.
- Technical Pre-Sales Support: Serve as the technical expert in sales cycles. Build and demonstrate prototypes, run high-impact product demos, and iterate quickly based on feedback.
- Pilot Delivery & Value Realization: Own the end-to-end execution of pilot projects and proof-of-concepts. Ensure each pilot delivers clear value to drive conversion from trial to paid usage.
- Customer Success & Feedback Loop: Provide hands-on support to users during trials, troubleshoot issues, and ensure a smooth experience. Gather insights from the field and proactively bring feedback to the engineering and product teams.
- Cross-Functional Collaboration: Collaborate closely with Sales, Product, and Engineering. Help translate customer requests into product requirements and guide product roadmap priorities.
Skills and Qualifications:
- Healthcare Domain Expertise: 5+ years in healthcare IT or healthtech solutions, with deep understanding of medical claims processing, EHR workflows, or related clinical data systems.
- Solution Delivery Experience: Proven track record in a customer-facing technical role such as Sales Engineer, Solutions Architect, Implementation/Professional Services Engineer, or Support Engineer.
- Communication & Presentation: Excellent ability to communicate with both technical and non-technical stakeholders.
- Problem-Solving & Ownership: A hands-on builder and a creative problem solver who isn't afraid to dive into a new dataset or troubleshoot an API at a moment's notice.
- Education: Bachelor's or advanced degree in Computer Science, Engineering, or a related field is preferred.