Customer Success Analyst - Airvoyant
About The Position
Airvoyant is building the next generation of data-driven aviation software to revolutionize aircraft maintenance and management. Our customers include airlines, MROs, and aviation vendors who want a more efficient, intelligent, and cost-effective way to do business. We are looking for a Customer Success Analyst to play a key role in supporting customers as we launch and scale a new SaaS platform serving aviation procurement. This role sits at the intersection of customer support, implementation assistance, and operational enablement. You will work directly with customers on day-to-day needs, assist with onboarding and configuration, support beta and pilot programs, and help ensure customers are successful in using the platform. This is a hands-on role well suited for someone who enjoys solving problems, learning technical products, and working closely with both customers and internal teams.
Requirements
- Bachelor’s degree with 2–5 years of experience in a customer-facing role (Customer Success, Support, Operations, Implementation, or similar)
- Strong problem-solving skills and attention to detail
- Comfortable working with technical or data-driven products
- Clear written and verbal communication skills
- Ability to learn new tools and workflows quickly
- Organized, reliable, and comfortable working in a fast-moving environment
- Experience working with SaaS products
Nice To Haves
- Familiarity with ticketing systems, documentation tools, or analytics platforms is a plus
- Background or experience in aviation, aerospace, or enterprise procurement systems
- AI Fundamentals certification or equivalent foundational knowledge of AI and data-driven technologies
- Familiarity with Amazon Web Services (AWS), Jira and Confluence
- Experience in a startup environment where you had to build your own processes
- Prior experience integrating with external enterprise systems (e.g., ERP, MRO, procurement platforms)
Responsibilities
- Serve as a first-line point of contact for customer questions and issues
- Troubleshoot common product issues and guide customers toward resolution
- Escalate complex or technical issues appropriately, providing clear context and documentation
- Help maintain service responsiveness while balancing quality and thoroughness
- Assist with customer onboarding, setup, and light configuration
- Support implementation activities and pilots of new AI capabilities led by senior Customer Success or Engineering team members
- Validate data inputs, configurations, and workflows during customer onboarding
- Help customers understand how to use the platform effectively in their daily operations
- Help explain product functionality, workflows, and outputs to customers
- Educate customers on AI capabilities, behavior, limitations, and responsible usage to build trust and confidence in the platform.
- Support training sessions, demos, and walkthroughs
- Contribute to customer-facing documentation, FAQs, and guides
- Reinforce best practices and standard usage patterns
- Monitor customer usage and other signals related to adoption or risk
- Help prepare reports, dashboards, and summaries for internal and customer use
- Track common issues and patterns to inform product and process improvements
- Support the development of internal runbooks and playbooks
- Assist in supporting beta customers and controlled pilot programs
- Help customers navigate early-stage or prototype features
- Capture real-world customer feedback and learnings to inform model refinement, productization decisions, and go-to-market readiness.
- Support safe and effective rollout of new capabilities in partnership with Customer Success and Engineering teams
- Other duties as assigned
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
11-50 employees
