Data Analytics AI Engineer

• •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.

• •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.
• •For employees hired to work from our NYC HQ, Fireblocks is required by law to include a reasonable estimate of the compensation range for this role. This range is specific to New York City and takes into consideration a wide range of factors that are reviewed when making a hiring decision, such as years of experience, skills, and other business needs. It is not typical for a candidate to be hired at or near the top of the pay range and each compensation decision is dependent on each individual case. A reasonable base salary range estimate for this position is $156,000 - $204,000. The base salary is one component of the total compensation package, which for some roles may include a target bonus, a very competitive equity grant, and very generous benefits.

#### Required

• •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.

#### Nice to Have

• •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.