Loading...
Data Analytics AI Engineer
Fireblocks
H1B ✓HybridseniorPosted June 1, 2026
About the Role
Design and build LLM-powered systems and data agents to improve internal capabilities, analyze large datasets for strategic insights, evaluate business impact of AI initiatives, and ship/maintain production-grade analytics and AI applications.
Requirements
Requires 5+ years in AI/ML engineering or data analytics/AI, strong SQL and Python proficiency, hands-on experience with LLMs, prompt engineering, and model evaluation, strong analytical background, and experience with CI/CD pipelines.
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 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 You'll Bring
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.
- Ability to work in our NYC office ~3 days in office weekly
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.
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.
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.
While we believe competitive compensation is a critical aspect of your decision to join us, we do hope you also spend time considering why our mission and culture are right for you. We are creating something transformational here, and we hope you are as excited about the future as we are.
Fireblocks' mission is to enable every business to easily and securely access digital assets and cryptocurrencies. In order to do that, we strongly believe our workforce should be as diverse as our clients, and this is why we embrace diversity and inclusion in all its forms.
Fireblocks' mission is to enable every business to easily and securely access digital assets and cryptocurrencies. In order to do that, we strongly believe our workforce should be as diverse as our clients, and this is why we embrace diversity and inclusion in all its forms.
Please see our candidate privacy policy here.