product manager for identity

Meta

Greater London

On-site

GBP 120,000 - 180,000

Full time

6 days ago
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Job summary

Meta ищет лидера продукта в Лондоне, чтобы руководить областью продуктов, внедрять AI-решения и вырабатывать стратегии на уровне всей компании. Вы будете работать с кросс-функциональными командами над видением продукта, дорожной картой и показателями успеха, обеспечивая рост и вовлеченность пользователей.

Требуется опыт в управлении полным жизненным циклом продукта, умение анализировать данные и строить AI-native решения, а также способность общаться с стейкхолдерами на разных уровнях

Qualifications

  • 8+ лет опыта в индустрии, не менее 3 лет в Product Management.
  • Степень бакалавра; STEM желателен.
  • Опыт ведения кросс-функциональных команд по линейке продуктов.
  • Опыт вывода продукта на рынок и управления жизненным циклом.
  • Умение анализировать большие наборы данных и принимать решения на основе данных.
  • Опыт использования AI-инструментов для артефактов продукта.
  • Опыт разработки AI-native стратегий и стратегий по данным.
  • Способность объединять требования пользователей в единую стратегию.
  • Опыт найма талантов для AI-команды.
  • Дополнительно: развитие AI навыков, ответственный ИИ.

Responsibilities

  • Руководить сложной областью продукта, определять успех и приоритеты.
  • Строить консенсус по стратегическим инвестициям и приоритетам.
  • Определять, когда инвестировать и когда остановиться.
  • Переводить возможности ИИ в видение продукта.
  • Сотрудничать с кросс-функциональными командами над дорожной картой.
  • Наставлять PM и команду по AI-native практикам.

Skills

Product management
Cross-functional teams
Data analysis
AI tools
Stakeholder comms
Hiring AI talent
AI-native strategies

Tools

AI platforms

Job description

Описание

Meta builds technologies that help people connect, find communities, and grow businesses. Its apps include Facebook, Messenger, Instagram, and WhatsApp. Meta is also developing immersive augmented and virtual reality experiences as part of the next evolution in social technology. *Instagram и Facebook принадлежат компании Meta Platforms Inc., деятельность которой признана экстремистской и запрещена на территории РФ

Задачи
  • Lead and drive a complex product area, defining success, prioritizing problems, and identifying strategies in the wider organizational and company context; adapt strategies as learnings and context change Build consensus on prioritizing and realizing significant opportunities, and determine when to start or stop investment Evaluate when AI is the optimal solution, articulating trade-offs, risks, and second-order effects Translate AI capabilities into product visions that create differentiated value Develop and champion AI-native strategies, including comprehensive evaluations and data strategies for continuous improvement Work with cross-functional teams to define product vision and roadmap, drive progress against goals and milestones, resolve blockers, improve team health, and increase team effectiveness Identify opportunities and resolve dependencies by creating shared strategies across adjacent product areas Reimagine workflows using AI tools responsibly to increase team velocity and capability Foster rapid experimentation and learning across the organization Scale responsible AI practices, workflows, and artifacts across product teams Mentor and coach PMs and cross-functional team members on AI-native practices Influence strategy and progress across partner functions, improving collaboration and resolving divergent goals Orchestrate complex execution across workstreams using AI automation and strategic human oversight while maintaining quality and accountability Communicate product strategy and progress clearly to stakeholders Use AI-enabled tools to build products and independently create artifacts to prototype, validate, or ship Interpret research and state-of-the-art learnings to shape product strategy and apply logical reasoning Assess system and architecture trade-offs and their impact on user experience and business outcomes Lead technical discussions with engineering partners Gather and analyze user research and market analysis to inform product decisions and influence the wider product organization Design experiments, interpret results using AI to accelerate analysis, and drive product decisions Define and run evaluations to interpret model outputs, adjust execution based on learnings, and establish evaluation as a product practice across teams
Требования
  • 8+ Years of relevant industry experience, including at least 3 years in Product Management
  • Bachelor’s degree or equivalent; a STEM subject is ideal but not essential, including Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, or Applied Sciences
  • Experience leading cross-functional product teams across a full product line, including defining product mission and strategy, requirements, coordinating resources from other groups, and driving milestones and goals
  • Experience managing a product through its full lifecycle
  • Proven ability to significantly improve product performance and team effectiveness
  • Extensive experience analyzing large-scale, complex datasets and making data-driven decisions
  • Proficiency using AI-enabled tools to build product artifacts
  • Experience developing and scaling AI-native strategies, including evaluations and data strategies, across teams
  • Experience integrating diverse user requirements and context into a coherent product strategy
  • Experience leading and motivating teams and influencing across an organization
  • Strong communication skills, with the ability to explain complex technical topics clearly to audiences at all levels
  • Experience identifying and hiring talent for an AI-capable cross-functional team
  • Будет плюсом: Ongoing AI skill development, such as prompt/context engineering or agent orchestration, and staying current with emerging AI technologies; integrating AI tools to optimize or redesign workflows and deliver measurable impact; implementing responsible and ethical AI practices, such as risk assessment, bias mitigation, and quality and accuracy reviews
Условия
  • Benefits are offered in addition to base compensation
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