Fireblocks

DataAnalyticsAIEngineer

$156–204k New York, New York, United States Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Data Analytics AI Engineer at Fireblocks. Skills: LLM systems, Data agents, AI initiatives, Prompt engineering. Design LLM-powered systems. Build data agents”

What You'll Achieve.

Deliver AI solutions; Deliver data agents; Become trusted partner; Elevate team velocity; Elevate team capabilities

Industry & Context.

Problems you'll solve

Scoping problems; Navigating ambiguity

Eligibility Requirements

3 days in office weekly

What They're Looking For.

Must Have

5+ years of experience in AI/ML engineering, SQL solid, Hands-on experience with LLMs, prompt engineering, fine-tuning, model evaluation pipelines, Experience defining KPIs, Experience with CI/CD pipelines using GitLab or GitHub, Demonstrated ability to own projects independently

Nice to Have

Python solid experience is a plus, Practical knowledge of Snowflake, Experience with dbt, Familiarity with the digital assets, fintech, or Web3 domain

What You'll Do.

Design LLM-powered systems

Improve internal capabilities

and Engineering teams

Analyze large-scale datasets

Surface strategic insights

Translate findings into recommendations

Evaluate business impact of AI initiatives

Quantify business impact

Optimize LLM performance

Iterate on prompt engineering

Iterate on deployment practices

Ship analytics applications

Maintain analytics applications

Maintain AI applications

Manage senior business stakeholders

Influence senior business stakeholders

Own projects end-to-end

Translate data concepts

Translate AI concepts

How You'll Work.

Team & Collaboration

Partner with Product; Partner with Engineering; Partner with GTM stakeholders; Cross-functional communication skills

Communication Scope

Cross-functional communication; Present AI concepts; Present AI outcomes

Process & Methodology

Own projects end-to-end

Full Job Description

The world of digital assets is accelerating in speed, magnitude, and complexity, opening the door to new ways for leveraging the blockchain. Fireblocks’ platform and network provide the simplest and most secure way for companies to work with digital assets and it trusted by some of the largest financial institutions, banks, globally-recognized brands, and Web3 companies in the world, including BNY Mellon, BNP Paribas, ANZ Bank, Revolut, and thousands more. About the Team 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. What You'll Do 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 pr

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