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Staff Product Manager (Product Analytics)

Формат работы
hybrid
Тип работы
fulltime
Грейд
principal
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR

Staff Product Manager (Query Engine & Segmentation): Driving the evolution of Query Engine and Segmentation capabilities for a unified data platform with an accent on technical architecture and product strategy. Focus on unifying platform concepts, enabling cross-platform analysis, and scaling foundational infrastructure for enterprise customers.

Location: Hybrid, London, United Kingdom

Company

hirify.global is an all-in-one experience intelligence platform designed for deep understanding of customers’ online journeys.

What you will do

  • Differentiate foundational capabilities from nice-to-haves while unifying multiple platforms (Heap, hirify.global, Hotjar).
  • Craft and communicate a compelling vision to unify products, modules, and capabilities.
  • Prioritize among competing strategic goals, ensuring "whole" increments are built.
  • Transform undefined technical challenges into concrete requirements and executable plans.
  • Apply system-level thinking to understand dependencies and architect scalable solutions across the platform.
  • Balance technical debt, scalability, cost, customer needs, and business priorities.

Requirements

  • 7+ years of product management experience, including 3-5 years in technical/platform product roles.
  • Shipped multiple large-scale technical initiatives involving data infrastructure, query engines, or foundational platform capabilities.
  • Led product initiatives requiring deep collaboration across 3+ engineering teams.
  • Demonstrated ability to balance tactical execution with strategic vision (6-18 month roadmap).
  • Strong understanding of data infrastructure, query engines, data modeling, database architecture, and performance optimization.
  • Work in a hybrid format in London.

Nice to have

  • Background in analytics products, BI tools, or data infrastructure.
  • Previous experience as an engineer or deep technical background (SQL, database systems, data modeling).
  • Track record in B2B SaaS products serving enterprise customers.
  • Experience managing products at the intersection of multiple engineering disciplines.

Culture & Benefits

  • Work flexibility with hybrid and remote work policies.
  • Generous paid time-off policy.
  • Lifestyle allowance.
  • Stock options for all full-time employees.
  • Employee Resource Groups.
  • Virtual onboarding, Hackathon, and opportunities for team interaction.

Hiring process

  • AI-assisted tools may be used for application review, but final hiring decisions are human.

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