Senior Analytics Engineer (AI)

Location: Hybrid work with occasional in-person attendance required. Primary residence must be in or near an approved city in the United States, Canada, or Mexico.

Salary: $149,000–$253,500 USD in the United States, depending on geographic market; $178,000–$227,000 CAD in Canada.

Company

hirify.global, Inc. operates hirify.global, Slideshare, Everand, and Fable, building products that help people move from access to insight and expertise.

What you will do

• Own canonical data models for payments, billing, and subscriptions across hirify.global, Everand, and Fable using Databricks.
• Define and maintain KPI and semantic layers for payments and identity for self-service dashboards and AI tools.
• Build Trust & Safety models and metrics for content prevalence and exposure, including evaluation of AI-generated moderation labels.
• Drive data quality, observability, lineage, automated testing, and root-cause analysis for production data systems.
• Build AI tools grounded in certified metrics and tables, with evaluation sets that validate answer quality.
• Set technical standards, influence source-system changes, and mentor analysts and analytics engineers without direct reports.

Requirements

• 8+ years of experience in analytics engineering, data engineering, business intelligence engineering, or a related discipline.
• Deep hands-on payments expertise with processor data from Stripe, Adyen, Braintree, PayPal, or comparable providers.
• Practical experience with identity and authentication data, governed canonical models, semantic layers, and metric versioning.
• Advanced SQL and production experience with Databricks, AWS, Looker, Airbyte, Fivetran, or comparable platforms.
• Experience making data reliable for AI consumption and influencing senior product and engineering leaders.
• Primary residence required in or near an approved United States, Canadian, or Mexican city; occasional in-person attendance is required.

Nice to have

• Advanced Python and experience building AI agents or LLM-based pipelines.
• Experience with Trust & Safety or integrity measurement.
• Experience with local payment methods across LATAM, APAC, or EU markets and stored-credential or network compliance frameworks.
• Experience with on-call rotations and incident response for production data systems.

Culture & Benefits

• Flexible work model balanced with intentional in-person collaboration.
• Health, dental, and vision coverage, plus mental health and disability support.
• Paid vacation, sick time, holidays, winter break, volunteer time, and sabbaticals.
• Paid parental leave, family support, retirement matching, and employee equity.
• Learning and development programs, wellness and home office stipends, and access to AI tools.