Fireblocks is the company bringing global finance onchain. Backed by over $1 billion in capital, we are the premier digital asset infrastructure provider trusted by thousands of industry-defining financial institutions, including banks, payment providers, fintechs, and global corporates such as BNY Mellon, BNP Paribas, ANZ Bank, Western Union, Stripe, and Revolut. Built for institutional scale and security, our enterprise-grade platform and network have powered over $14 trillion in digital asset transfers worldwide.
Join a global data team focused on delivering impactful insights and driving strategic initiatives across Fireblocks. As a Senior GTM Analyst, you'll shape data-informed decisions across Sales, Marketing, Customer Success, and Revenue Operations by combining strong analytical fundamentals with AI-native ways of working. This is an opportunity to contribute meaningfully in a high-growth, fast-paced environment, where you'll manage multiple initiatives, collaborate closely with analysts, GTM leaders, and business stakeholders, and use AI-powered tooling as a core part of how you analyze, automate, and deliver.
What you'll do- Build AI-powered analytical solutions that let stakeholders answer their own questions, including semantic layers/views, database agents, and conversational analytics on top of our warehouse.
- Perform deep data analysis to uncover trends, inform go-to-market strategy, and deliver recommendations that enhance growth, customer experience, and operational efficiency.
- Partner with GTM leadership to define clear KPIs across the funnel - pipeline, conversion, ARR, retention, expansion, and churn - that reflect both GTM performance and company goals.
- Own the quality of AI-generated analysis: design and run evaluations, validate accuracy against ground truth, and iterate on prompts and semantic definitions to improve reliability.
- Automate recurring analysis and reporting with AI-assisted workflows, freeing time for higher-value analytical work.
- Work with Data Engineers on scalable, consistent data models that enable deeper insights, including customer segmentation, account scoring and prioritization, and agent-driven automation.
- Use AI-assisted development tools (e.g. Claude Code, Cursor) to accelerate delivery and raise your own engineering velocity.
- Present insights in a clear and professional manner to support decision-making across the organization.
- 5+ years of experience as an Analyst, with a focus on GTM, revenue, sales, or marketing analytics.
- Strong analytical and problem-solving skills, with a solid understanding of statistical methods, predictive modeling, and attention to detail.
- Hands-on experience with LLMs in a working context: prompt engineering, agent-based tooling, and evaluating model output quality.
- Healthy skepticism toward AI output, with the judgment and rigor to verify results before they reach stakeholders.
- Proven ability to lead and deliver projects in a dynamic, fast-paced environment.
- Clear and effective communicator, able to present complex data insights and AI concepts to both technical and non-technical stakeholders.
- Self-motivated and collaborative, with the ability to work independently as part of a global team.
- Practical knowledge of MCP, database agents, and semantic views/YAMLs - Snowflake as a database agent platform - advantage.
- Experience working with CRM and GTM systems data (Salesforce, marketing automation, customer success platforms) - advantage.
- Proficiency in data warehouse modeling, ETL processes, and advanced SQL querying.
- Experience with dbt (dbt Cloud preferred) for analytics engineering workflows - advantage.
- Familiarity with financial services, fintech, digital assets, or Web3 - advantage.
Within your first year, you own the KPIs and analytical narrative for the GTM funnel, have shipped AI-powered analytical tooling that measurably reduces ad-hoc request load, and are a trusted partner to Sales, Marketing, and CS leadership on both insight and AI-driven decision support.
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.Skills Required
- 5+ years of experience in AI/ML engineering or 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.
- Experience with CI/CD pipelines using GitLab or GitHub for analytics or AI workloads.
- Strong cross-functional communication skills for presenting to technical and non-technical audiences.
Fireblocks Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fireblocks and has not been reviewed or approved by Fireblocks.
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Healthcare Strength — Healthcare is described as premium, with comprehensive medical and mental-health coverage and access to tax-advantaged accounts highlighted in public materials. Wellness resources such as gym programs and mindfulness tools further reinforce the health focus.
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Leave & Time Off Breadth — Time off is framed as generous and flexible, and paid parental leave is explicitly included. Family-forming reimbursement is also called out, broadening support for different life stages.
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Equity Value & Accessibility — Equity is presented as a meaningful part of total compensation, with job postings emphasizing stock options alongside competitive salary. Many roles also reference target bonus or OTE components.
Fireblocks Insights
What We Do
For institutions that need to store and move digital assets without the operational or security headache. Fireblocks streamlines operations by bringing all your exchanges, OTCs, counterparties, hot wallets, and custodians into one platform. Wallets, deposit addresses, and API credentials are secured using patent-pending chip isolation technology and the newest breakthrough in cryptography (MPC). Institutions are using Fireblocks to move funds securely in seconds – instead of hours.
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