Data Analytics AI Engineer, Fireblocks

• 5+ years of experience in AI/ML engineering or a combined data analytics and AI role
• Strong SQL proficiency; solid Python experience is a strong plus
• Hands-on experience with LLMs, prompt engineering, fine-tuning, and model evaluation pipelines
• 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
• Demonstrated ability to own projects independently: scoping problems, navigating ambiguity, and managing stakeholder relationships without heavy oversight
• Strong cross-functional communication skills: able to present AI concepts and outcomes to both technical and non-technical audiences, up to CRO level
• Ability to work in our NYC office ~3 days in office weekly

Desirable

• Join our global Data team, which partners closely with Product, Engineering, and GTM stakeholders to power data-driven decision making and AI-driven products across Fireblocks
• The team has evolved from providing deep analysis to becoming enablers, bringing the right data and AI tools so that Sales, Marketing, and Customer Operations can run analysis and forecasting
• We operate in a fast-paced, high-growth environment where much of what we build is new, and we figure things out as we go
• 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
• 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
• Ship and maintain production-grade analytics and AI applications through modern CI/CD pipelines (GitLab/GitHub), ensuring reliable, repeatable, and observable deployments
• Manage and influence senior business stakeholders (including CRO-level), owning projects end-to-end and translating complex data and AI concepts into business outcomes
• Leverage AI-assisted development tools (e.g., Cursor, Claude Code) to accelerate delivery speed across the team
• What Success Looks Like:
• Within your first year, you have delivered AI solutions and data agents with clear business impact across GTM and Product, become a trusted partner for data-driven AI initiatives across the org, and helped elevate the team’s velocity and capabilities