2 дня назад
Product Manager (AI)
55 000 - 60 000GBP
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Product Manager (AI) (EdTech): Building and improving search, recommendation, AI student tools, and mobile eReader experiences for a digital education and reading subscription with an accent on quantitative product discovery, user engagement, and KPI ownership. Focus on sizing opportunities, shaping evidence-backed bets, briefing cross-functional teams, and delivering measurable improvements through experimentation.
Location: Hybrid in London, United Kingdom, with 2 days per week in the London office
Salary: £55,000–£60,000 per annum
Company
provides subscription access to more than 1.5 million ebooks and educational resources from over 9,000 publishers, serving learners, professionals, universities, businesses, and readers in more than 100 countries.
What you will do
- Own discovery, shaping, proposal, and delivery of product bets for the Platform Experience squad.
- Improve book search, recommendations, digital bookshelf organisation, and web and mobile eReader experiences.
- Develop relevant AI tools for students and connect product work to squad KPIs.
- Analyse quantitative and qualitative evidence and communicate its implications.
- Brief engineers, designers, and copywriters while managing scope, edge cases, trade-offs, and rationale.
- Engage stakeholders, build user and industry understanding, and report progress and risks.
Requirements
- At least 2 years of experience owning products and delivering measurable changes in product metrics.
- Experience building habit-forming experiences and increasing weekly and monthly engagement.
- Strong quantitative skills, including working with data and business intelligence tools, reading experiment results, and sizing opportunities.
- Ability to create robust briefs for engineers and designers, including scope, edge cases, exclusions, and rationale.
- Regular user research experience and the ability to use feedback to shape product decisions.
- Comfort making trade-offs, working with ambiguity, and independently prioritising product bets.
Culture & Benefits
- Cross-functional squads comprising Product, Engineering, Design, QA, and Data, with ownership of defined problem spaces and KPIs.
- Evidence-led bet-based product development with roadmap reviews and quarterly delivery cycles.
- Open documentation through discovery notes, decision logs, and weekly progress updates.
- Personal learning and development budget, dedicated learning time, and regular hackathons.
- 22 days of annual leave plus an additional day per year of service, company closure between Christmas and New Year, and flexible bank holidays.
- Private medical, optical, and dental cover, home office budget, overseas work flexibility, sabbatical options, cycle-to-work scheme, and matched parental leave.
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