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AI Discovery & Strategy:
- Socialize AI capabilities, limitations, and roadmap across the org, acting as an internal resource and thought leader on what's possible.
- Maintain a prioritized backlog of AI opportunities across the business.
- Define AI initiatives end-to-end: problem framing, data requirements, build vs. buy decisions, and measurable success criteria.
Building & Delivery:
- Build, integrate, and maintain AI-powered features and workflows, leveraging LLM APIs (OpenAI, Anthropic, etc.), RAG pipelines, and agentic frameworks.
- Develop automation workflows using low/no-code orchestration tools (n8n, Make) to deliver AI solutions rapidly without requiring full engineering cycles.
- Integrate AI capabilities into existing systems and codebases in close partnership with the product and engineering teams.
Cross-Functional Partnership:
- Partner with product to translate user problems into AI-driven features and experiences.
- Embed within operations and business teams to identify workflow automation and efficiency opportunities.
- Collaborate with engineering to ensure AI integrations meet production standards for reliability, maintainability, and security.
Splitero
Splitero is at the intersection of financial services and property technology. They are creating a win-win product that could help homeowners access their home equity without making monthly payments like traditional financing options. Splitero fosters a culture of transparency, innovation, and inclusivity, where every voice is heard and every team member is valued.