Senior Analytics Engineer, AI & DX Analytics

Block builds simple, powerful tools that make progress towards an economy that’s truly open to all.

Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we’re helping build a financial system that is open to everyone. Join us.

The AI & DX Analytics team exists to measure and improve Block's developer experience and investment in AI. We turn raw engineering signals (agent session data, pull request and CI activity, and AI spend) into reporting and analysis that shape leadership's AI investment decisions, and drive improvement in AI ROI and developer experience.

We're hiring a Senior Analytics Engineer to own parts of that pipeline end to end. This role drives two key parts: You will instrument new telemetry at the source and build production pipelines that turn it into governed data. You will then turn that governed data into executive-facing reporting that leadership will use to decide where AI investment is working and where to redirect it, and into the analysis that surfaces concrete opportunities to improve AI ROI and developer experience. You'll define new metrics and craft the visual narrative — the charts, dashboards, and presentation materials — that make them land with an executive audience. AI-first workflows are central to how this team operates and critical to succeeding in this role: using AI coding agents is a default part of how you build and maintain pipelines and dashboards. You’ll excel in this role if you're as comfortable defining and visualizing a brand new executive-facing metric from a messy signal as you are debugging why a pipeline silently stalled overnight.

You will

• Instrument and extend the raw telemetry captured about AI usage, code changes, CI/CD activity, and spend — building new data capture, not only transforming what already exists. This is core to the role, as evolving AI tools and increased AI adoption constantly creates new signals that need to be captured.

• Partner with data engineers on production ETL pipelines that land that telemetry into governed tables, with the freshness monitoring, backfills, and alerting that keep it trustworthy, rather than a one-off script.

• Define new metrics out of ambiguous or evolving signals, and earn stakeholder trust in a new number by validating and reconciling it until it holds up.

• Build and ship the executive-facing dashboards and visualizations that turn governed metrics into decision-ready reporting — with the polish and precision a room of executives will scrutinize.

• Run the analysis that a new chart or metric needs and anticipate questions that an executive audience will ask, then bring senior stakeholders a recommendation, not just a number, and defend the methodology behind