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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зона ответственности за discovery и поставку AI-продукта описана ясно, но короткий контракт и формат консалтинга означают, что работа может быть привязана к отдельному проекту, а не к долгосрочному развитию продукта.
?Работа с клиентами
Чёткая зона ответственности
Фокус на AI
Ориентация на результат
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Freelance Lead Product Manager (AI): Owning discovery and delivery of data and AI solutions, including rapid pilots, Databricks dashboards, model explainability, and Next Best Action modelling, with an accent on client alignment, product discovery, and production-grade delivery. Focus on leading cross-functional teams, validating solutions through workshops and user testing, and turning findings into recommendations for scaling decisions.
Location: Hybrid, with attendance at the London office twice per month.
Day rate: £500–600. Contract length: 12 months. Start date: November 2026. IR35: Outside.
Company
hirify.global is a London-based AI consultancy that designs and builds technology for clients including Spotify, Google, Inmarsat and Zego.
What you will do
Own a data and AI engagement from discovery through production-grade delivery.
Understand the client’s business, vision, terminology and priorities, and run technical deep dives with data and engineering teams.
Align goals, constraints and success metrics across model explainability, dashboard creation and agentic research workstreams.
Lead a small cross-functional team alongside an AI Engineer and Data Scientist, managing the backlog, scope, risks, updates and demos.
Run workshops, SME sessions, playbacks and early user testing, turning feedback into actionable improvements.
Lead client reviews and final playback, providing recommendations for go/no-go decisions and scaling.
Requirements
Proven track record delivering data and AI solutions.
At least 2 years of experience in a consultancy, leading client-facing engagements end to end.
Experience delivering pilots and prototypes to tight timelines in fast-paced, iterative environments.
Ability to handle client feedback positively and balance competing priorities to reach mutually beneficial outcomes.
Calm, confident communication skills, including explaining complex ideas simply and presenting with quiet authority.
Ability to build trust with senior stakeholders and run workshops and playbacks.
Understanding of how AI is changing the industry, including tooling and new products.
Use of AI tools in personal work, with the ability to delegate tasks to LLMs and identify low-quality AI output before client delivery.
Nice to have
Hands-on experience with Databricks, Azure, data models and paid media modelling.
Experience with model improvements, media spend and Next Best Action modelling.
Culture & Benefits
Outcome-focused environment that values outcomes over hours.
Agile approach with less emphasis on rigid process.
Inclusive culture welcoming diverse thoughts, backgrounds and perspectives.
Encouragement to challenge norms, develop ideas and do high-quality work.
Hiring process
Recruiter screen focused on rapid discovery and pilot delivery experience.
45-minute interview with the Product Lead covering product approach, experience and a pilot-focused case study.
One-hour interview with the Product Director covering product leadership, stakeholder management and outcomes in ambiguous environments.
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