Staff Data Science Leader (AI)

Location: Mountain View, United States; on-site

Salary: $230,000–$300,000 annual base pay, plus potential bonus and equity.

Company

hirify.global is an AI video platform that helps creators and businesses enhance their social presence through video.

What you will do

• Set priorities for a small Data team and lead complex, ambiguous, or high-stakes analytical projects.
• Improve product and business measurement across activation, retention, segmentation, monetization, lifetime value, and experimentation.
• Establish trusted metric definitions, validation, monitoring, reusable datasets, and analytical frameworks.
• Partner with Product, Growth, Finance, Engineering, Data Engineering, and AI teams to improve decision-making and business performance.
• Support AI product evaluation, data curation, feedback signals, and the product usage-to-AI-improvement data flywheel.
• Build AI-assisted and agentic analytics systems that reduce repetitive analysis and provide proactive business intelligence.

Requirements

• Significant experience in data science, product analytics, decision science, or a closely related field, with Staff, Principal, Lead, or equivalent scope.
• Strong product and business judgment, ownership, communication, and ability to lead through influence and technical credibility.
• Strong SQL and Python skills with willingness to remain hands-on.
• Deep experience with product metrics, retention, segmentation, monetization, experimentation, statistics, A/B testing, and causal reasoning.
• Strong data-quality instincts and sufficient data-engineering knowledge to diagnose systemic issues across pipelines, transformations, tables, and dashboards.
• Ability to turn one-off analyses into reusable tools, frameworks, datasets, or processes.

Nice to have

• Experience with growth analytics, incrementality, lifetime value, attribution, or causal inference.
• Experience working with AI/ML teams on evaluation or data curation, or building AI-assisted and agentic analytics systems.
• Experience with data pipelines, transformations, backfills, automated validation, user segmentation, or behavioral profiling.
• Background in SaaS, consumer software, creator products, subscription businesses, or AI products.
• Familiarity with BigQuery, Mixpanel, Statsig, Superset, Prefect, Airflow, or dbt.

Culture & Benefits

• Hands-on leadership role with freedom to shape a modern Data function.
• Direct influence on product direction, growth investment, monetization, and AI product quality.
• Opportunity to build AI-native data systems, self-service tools, proactive insights, and agentic analytics.
• Work with a small, experienced team and collaborate across Product, Growth, Finance, Engineering, and AI.
• Compensation includes base pay, potential discretionary bonus or incentives, and equity.

Hiring process

• Performance is evaluated through impact on data practices, business metrics, reusable analytical systems, team leadership, and the AI data flywheel.