Overview
You will embed with strategic customers to design and deploy enterprise-grade Fin deployments, turning data into measurable improvements in customer support. You collaborate with Sales, Success, and Product to ensure smooth deployments and feedback loops that shape product decisions. You translate complex data challenges into practical, scalable solutions and drive AI adoption in real-world settings. This role combines hands-on analytics with client-facing impact, shaping how customers scale their support operations with AI.
Pay / Benefits
- hybrid working policy
- incentive compensation
- equity
- health and wellbeing benefits
- family benefits
- financial future planning
Responsibilities
- Drive Fin adoption by helping customers automate and scale their support operations
- Embed with strategic customers to understand workflows, data, and challenges, and implement AI opportunities with measurable impact
- Guide customers toward best practices in measurement and AI adoption to realize value
- Partner with Sales, Success, and Product to deliver seamless deployments and feedback loops for product development
- Prototype, test, and scale data-driven solutions using AI to accelerate Fin adoption and impact
Key requirements
- Proven ability to apply data science in real-world business contexts to drive measurable outcomes
- Strong collaboration mindset across Sales, Success, Product, and Engineering
- High adaptability and ownership; able to switch between deep technical analysis and strategic framing
- Excellent technical and non-technical communication skills
- Rapid prototyping with systems thinking for fast bespoke answers when needed
- Excellent SQL and production-aware Python; capable of writing reusable, production-ready code
- Experience with AI/ML evaluation, LLM-driven applications, or conversational AI
- Willingness to travel and work on-site with customers to build relationships
- collaboration
- adaptability
- communication
- SQL
- Python (production-ready)
- AI/ML evaluation
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