Data Analytics AI Engineer

Join Fireblocks, a leading digital asset security platform, as a Data Analytics AI Engineer. In this role, you will be part of a global data team that collaborates closely with Product, Engineering, and GTM stakeholders to drive data-driven decision making and AI-driven products. You will design and build LLM-powered systems, analyze large-scale datasets, evaluate the business impact of AI initiatives, and manage senior business stakeholders. This position requires a strong background in AI/ML engineering, data analytics, and cross-functional communication skills.

• Design and build LLM-powered systems and data agents that directly improve internal capabilities, enabling GTM, Product, and Engineering teams to make faster, smarter, data-driven decisions at scale.
• Analyze large-scale datasets to surface strategic insights across the customer lifecycle and revenue funnel; define and track critical KPIs; and translate findings into actionable product and business recommendations.
• Ship and maintain production-grade analytics and AI applications through modern CI/CD pipelines (GitLab/GitHub), ensuring reliable, repeatable, and observable deployments.
• 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
• Strong SQL proficiency; solid Python experience is a strong plus
• Strong cross-functional communication skills: able to present AI concepts and outcomes to both technical and non-technical audiences, up to CRO level
• Demonstrated ability to own projects independently: scoping problems, navigating ambiguity, and managing stakeholder relationships without heavy oversight
• Ability to work in our NYC office ~3 days in office weekly
• Strong analytical background: experience defining KPIs and communicating data-driven recommendations to senior business stakeholders, with commercial acumen across Sales, Marketing, and revenue/pipeline
• Experience with CI/CD pipelines using GitLab or GitHub for analytics or AI workloads
• Practical knowledge of Snowflake as a database agent platform, including MCP, database agents, and semantic views/YAMLs, highly valued given our current stack
• Experience with dbt (dbt Cloud preferred) for analytics engineering workflows
• Familiarity with the digital assets, fintech, or Web3 domain