Senior Analytics Engineer (AI)

Location: Remote work is offered; U.S. roles use location-based pay zones.

Salary: $139,000–$208,600 in Zone D, $146,900–$220,300 in Zone C, $155,400–$233,200 in Zone B, or $163,600–$245,400 in Zone A, depending on location, experience, qualifications, and market conditions.

Company

hirify.global builds technology and financial products through brands including Square, Cash App, Afterpay, TIDAL, Bitkey, and Proto to expand access to the global economy.

What you will do

• Instrument and extend telemetry for AI usage, code changes, CI/CD activity, and engineering spend.
• Partner with data engineering, applied AI, and data science teams to build production ETL pipelines with governed tables, freshness monitoring, backfills, and alerting.
• Define, validate, and reconcile metrics from ambiguous or evolving engineering signals.
• Build executive-facing dashboards, visualizations, and presentation materials for AI investment and developer experience decisions.
• Analyze AI ROI and developer friction, turning findings into recommendations for tooling, processes, and investment.
• Use AI coding agents to write, test, and maintain pipelines, dashboards, and analyses.

Requirements

• 8+ years of experience in analytics engineering, data engineering, or business intelligence.
• Experience owning production data pipelines and insights end to end.
• Strong SQL and Python skills, with hands-on experience using a cloud data warehouse such as Snowflake.
• Experience instrumenting event or telemetry data and partnering with engineering teams.
• Experience building reliable dashboards or internal tools for non-technical decision-makers, including responsibility for performance and data layers.
• Comfort with Git, CI/CD systems, production debugging, executive communication, and cross-team leadership.

Nice to have

• Experience with a metrics-governance or semantic-layer system such as a metrics store, dbt semantic layer, or LookML.

Culture & Benefits

• Remote work, flexible time off, medical insurance, retirement savings plans, and modern family planning benefits.
• Inclusive workplace and interview experience with reasonable accommodations for disabled applicants.
• AI-first workflows are a central part of how the team builds and maintains data products.
• Work alongside data engineering, applied AI, and data science teams on company-wide AI effectiveness.

Hiring process

• Applications may be evaluated with automated AI tools in accordance with local regulations and bias-audit requirements.
• Candidates may maintain up to 9 active applications within a 60-day period; reapplication to the same role is available after 90 days following review.