Senior GTM analyst

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.

About the team

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.

What you'll bring

• 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.

What success looks like

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.