About the team
Join our global Data team, which partners closely with Product, Engineering, and Business stakeholders to power data-driven decision making and AI-driven products across Fireblocks. The team operates in a fast-paced, high-growth environment, building AI solutions, data foundations, and analytical frameworks that directly influence product strategy and customer outcomes.
What you'll do
- Design and build LLM-powered systems that directly improve product capabilities and customer experience - enabling Product, Engineering, and Business teams to make faster, smarter, data-driven decisions at scale
- Evaluate and quantify the business impact of AI initiatives through rigorous experimentation, benchmarking, and model evaluation to continuously optimize LLM performance
- Continuously monitor, refine, and evolve AI models and solutions - iterating on prompt engineering and deployment practices to keep pace with rapidly advancing capabilities and shifting business needs.
- Leverage AI-assisted development tools (e.g., Cursor, Claude Code) to accelerate delivery speed and engineering velocity across the team
- Analyze large-scale datasets to surface strategic insights, define and track critical KPIs, and translate analytical findings into actionable product and business recommendations.
What you'll bring
- Strong analytical background - experience defining KPIs and communicating data-driven recommendations to stakeholders.
- 5+ years of experience in AI/ML engineering or a combined data analytics and AI role
- Hands-on experience with LLMs, prompt engineering, fine-tuning, and model evaluation pipelines.
- Proficiency in Python and SQL; experience building and deploying production-grade AI applications.
- Practical knowledge of MCP, database agents, and semantic views/YAMLs - Snowflake as a database agent platform - advantage.
- Strong cross-functional communication skills - able to present AI concepts and outcomes to both technical and non-technical audiences.
- Self-motivated and collaborative, with the ability to operate independently within a global team.
- Familiarity with the digital assets, fintech, or Web3 domain - advantage
What success looks like
Within your first year, you have delivered AI solutions that show clear business impact, become a go-to partner for data-driven AI initiatives across Product and Engineering, and helped elevate the team's velocity and capabilities.