Description
Block builds simple, powerful tools that make progress towards an economy that’s truly open to all.
The AI & DX (Developer Experience) Analytics team exists to measure and improve Block's developer experience and investment in AI. We turn raw engineering signals into reporting and analysis that shape leadership's AI investment decisions, and drive improvement in AI ROI and developer experience.
Your work will be the trusted source of truth that engineers and executives use to decide where AI investment is working and where to redirect it.
Responsibilities
- Instrumentation & Telemetry:
- Instrument and extend the raw telemetry captured about AI usage, code changes, CI/CD activity, and spend.
- Partner with data engineers on production ETL pipelines that land that telemetry into governed tables.
- Define new metrics out of ambiguous or evolving signals, and earn stakeholder trust in a new number by validating and reconciling it.
- Dashboards & analysis:
- Build and ship the executive-facing dashboards and visualizations that turn governed metrics into decision-ready reporting.
- Run the analysis that a new chart or metric needs and anticipate questions that an executive audience will ask.
- Translate complex, technical findings into a clear narrative.
- Across both:
- Use AI coding agents as a default part of how you write, test, and maintain data pipelines, dashboards, and analyses.
- Partner across data engineering, applied AI, and data science teams to keep telemetry connected end to end.
- Turn what the data shows into action: flag where AI spend isn't paying off or where developer friction is most costly.
Qualifications
- You are:
- Self-sufficient across the full analytics loop: instrumentation, pipeline building, metric definition, and dashboards.
- At home in messy, evolving telemetry, with the judgment to know when a new number is right and when it needs a second look.
- A strong product thinker: you get at what a stakeholder actually needs from a metric or chart.
- Comfortable with ambiguity on a genuinely unsolved problem , measuring AI/agent productivity impact.
- An exceptional communicator, able to defend a metric's methodology and a chart's framing directly to senior stakeholders.
- You have:
- 8+ years in analytics engineering, data engineering, or business intelligence, owning production data pipelines and insights end to end.
- Strong SQL and Python, with hands-on experience building and operating data pipelines against a cloud data warehouse such as Snowflake.
- Experience partnering with engineering teams to instrument new event or telemetry data.
- Experience building dashboards or internal tools that non-technical stakeholders rely on to make decisions.
Benefits
- Remote work
- Medical insurance
- Flexible time off
- Retirement savings plans
- Modern family planning