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Роль предполагает понятную ответственность за продукт целиком и работу над AI-направлением, но в описании мало данных о масштабе компании, её результатах и зрелости продукта.
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Продукт в сфере ИИОтветственность за продуктТехнически сложная роль
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Product Manager (AI): Defining roadmaps and shipping AI-native communication and workflow products with an accent on technical product strategy, system design, and measurable user outcomes. Focus on evaluating architecture and trade-offs, designing experiments, and improving adoption, engagement, and retention through complex product development.
Location: London, Greater London, United Kingdom; hybrid work
Company
Building proactive AI-native applications for communication, coordination, collaboration, errands, and workflows, starting with an agent-first mobile communication app.
What you will do
Define product roadmaps, requirements, and success metrics for assigned product areas.
Identify user needs and translate them into product features, workflows, and specifications.
Evaluate technical approaches with engineering, balancing performance, reliability, usability, development effort, quality, latency, cost, and time to market.
Lead product development from planning and design through testing, launch, and production improvement.
Analyse user behaviour, product performance, and experiments to improve adoption, engagement, retention, and business outcomes.
Assess market opportunities, competing products, and user feedback to guide product priorities.
Requirements
5+ years of product management experience, including shipping technology products.
Strong system design knowledge, including the ability to evaluate architecture, data models, integrations, reliability, and performance trade-offs.
Ability to challenge technical proposals, identify architectural risks, and work with engineering to resolve complex product and system constraints.
Experience owning complex products or workflows end-to-end, from problem definition and technical scoping through launch and production iteration.
Ability to balance quality, latency, reliability, development cost, and time to market when making product decisions.
Proven track record of improving adoption, engagement, retention, or business outcomes through shipped products.
Strong analytical judgment and experience designing experiments, interpreting metrics, and making evidence-based investment decisions.
Nice to have
Experience with distributed systems and complex integrations.
Experience with AI/ML products or LLM-based applications.
Experience with workflow automation or other technically demanding products.
Culture & Benefits
Hybrid work arrangement in London, United Kingdom.
Opportunity to build AI-native applications for daily communication, coordination, collaboration, and workflows.
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