Senior Product Analytics Engineer (AI)

Location: Remote from the United Kingdom, Ireland, or Portugal; work authorization in one of these countries is required. Office access is available in London, Dublin, and Lisbon.

Company

hirify.global provides a cybersecurity and data protection awareness platform that uses behavioral science, training, and simulations to reduce human cyber risk.

What you will do

• Own product analytics across multiple product lines, defining success metrics and targets aligned with product and company strategy.
• Translate product, user, and business data into clear insights that guide product strategy and decision-making.
• Build reusable, scalable data products and governed self-service analytics capabilities.
• Define event instrumentation and taxonomy practices for event-driven architecture and enable teams to generate insights independently.
• Connect product usage with commercial outcomes such as win/loss, expansion, and renewal in partnership with Go-to-Market teams.
• Use LLMs and AI tooling to accelerate query generation, dashboard development, insight synthesis, and repeatable analysis.

Requirements

• 5+ years of experience in analytics, analytics engineering, or data science, including direct support for product teams in B2B companies.
• Expertise in product analytics fundamentals, including metric trees, experimentation, activity and retention analytics, funnels, and customer segmentation.
• Excellent SQL skills, strong experience with dbt and scalable data modeling, and relevant Python experience.
• Demonstrated use of current LLM tools to improve workflows or results with measurable impact.
• Experience with event-based web or mobile tracking and behavioral analytics tools such as Amplitude, Heap, or Mixpanel.
• Work authorization in the United Kingdom, Ireland, or Portugal is required.

Nice to have

• Experience with cross-functional Go-to-Market projects.
• Projects involving Customer Success, RevOps, or Product Marketing, such as churn prediction, renewal or expansion predictors, and win-loss usage analysis.

Culture & Benefits

• Flexible working hours and 33 vacation days.
• Wellbeing support through Open Up and corporate discounts.
• Virtual events, collaborative team activities, and local meet-ups.
• Technology equipment, referral bonuses, and access to dog-friendly headquarters.
• Benefits apply to full-time employees and may vary by office location.

Hiring process

• Further details about the role, benefits, and process are provided during interviews.