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2 дня назад

Senior Product Manager (AI)

70 000 - 75 000GBP
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Product Manager (AI): Owning conversion rate optimization across Perlego’s D2C growth funnels and developing acquisition, onboarding, checkout, recommendation, and SEO experiences with an accent on experimentation, quantitative analysis, and AI-enabled product workflows. Focus on identifying high-impact hypotheses, designing rigorous tests, and improving subscription conversion across a 1.5-million-book catalogue.

Location: London, England, United Kingdom; hybrid work with two days per week in the London office.

Salary: £70,000–£75,000 per annum.

Company

hirify.global provides subscription access to more than 1.5 million ebooks and educational resources, serving learners, professionals, and readers across web, iOS, and Android.

What you will do

  • Own the New User Experience squad’s KPIs and conversion rate optimization programme across D2C growth funnels.
  • Identify, prioritize, design, and run experiments across search, landing pages, book pages, signup, onboarding, checkout, and email journeys.
  • Generate insights from cohort and funnel data, define hypotheses, select guardrail metrics, and turn experiment results into decisions.
  • Lead product bets including publisher reading-list landing pages, personalized email recommendations, and book experiences for trade readers.
  • Work with the SEO Lead to improve the discoverability of hirify.global’s 1.5-million-book catalogue.
  • Define scope, slice solutions for frequent releases, and drive outcomes through cross-functional teams without direct management responsibility.

Requirements

  • 4+ years of end-to-end product management experience, from discovery and experimentation through shipping.
  • Demonstrated success improving conversion in high-volume growth funnels for D2C subscription products.
  • Strong experimentation skills, including test sizing, guardrail metrics, result interpretation, and evidence-based decisions.
  • Hands-on quantitative ability with cohort data and funnel metrics; no dedicated analyst is assigned to the squad.
  • Commercial understanding of pricing, plan structure, checkout presentation, conversion, and revenue per subscriber.
  • Ability to collaborate with engineers on AI workflows and assess the quality and risks of AI-generated outputs.

Culture & Benefits

  • Cross-functional squads include Product, Engineering, Design, QA, and Data, with ownership of defined problem spaces and KPIs.
  • Work is organized around evidence-backed bets, with most bets sized to ship and evaluate within a quarter.
  • Personal learning and development budget, dedicated learning time, and regular hackathons.
  • 22 days of annual leave, increasing by one day per year of service, plus company closure between Christmas and New Year and flexible bank holidays.
  • Home office budget, private medical, optical and dental cover through Vitality, and a Cycle to Work scheme.
  • Work-from-overseas flexibility, sabbatical options, and matched parental leave.

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