Product Analytics Lead (AI)

TL;DR

Product Analytics Lead (AI): Leading and scaling the Product Analytics function for an all-in-one cannabis retail platform with an accent on defining standards, driving product decisions, and integrating with AI strategy. Focus on translating business questions into analytical frameworks, generating actionable insights, and shaping AI-driven product capabilities.

Location: Fully remote, international (global)

Company

hirify.global is a product-driven startup building an all-in-one enterprise-grade cannabis retail platform that combines POS, eCommerce, Marketing, Analytics, and Inventory Management.

What you will do

• Lead and mentor a team of Product Analysts, establishing best practices for product analytics and experimentation.
• Own the Product Analytics roadmap, priorities, and delivery, ensuring high-quality, actionable insights.
• Partner closely with Product Managers to define success metrics, KPIs, and drive product decision-making.
• Act as the primary analytics partner for Product and a close collaborator with Data and ML teams.
• Play a key role in shaping the analytics foundation for SweedAI, defining how data powers AI-driven product capabilities.

Requirements

• 6+ years of experience in product or growth analytics, with at least 1–2 years in a leadership or mentoring role.
• Proven track record of influencing product decisions through data.
• Strong proficiency in SQL and hands-on experience with modern BI tools (e.g., Metabase, Looker, Mode).
• Experience with event-based analytics and product instrumentation (e.g., Amplitude, PostHog).
• Ability to translate business questions into structured analysis and communicate findings clearly.
• Excellent English (written and spoken) required.

Nice to have

• Experience working in B2B SaaS or platform products.
• Experience in regulated markets (e.g., healthcare, cannabis).

Culture & Benefits

• 100% remote with flexible working hours (Core team time: 09:00-15:00 GMT).
• 20 paid vacation days and 12 holidays per year.
• 3 sick leave days.
• Medical insurance after probation.
• Equipment reimbursement (laptops, monitors, etc.).

Hiring process

• Recruiter Call (up to 45 minutes).
• Technical Interview (up to 1.5 hours) focusing on SQL and case-based product analytics.
• Hiring Manager Call (up to 1 hour) for a deep dive into your Analytics background.
• Interview with VP of Product (up to 45 minutes).
• Team Introduction (up to 30 minutes).