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11 дней назад

Technical Product Manager - Delivery & Availability Management (DAM, AI)

Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Technical Product Manager - Delivery & Availability Management (DAM, AI): Own the roadmap for delivery and availability systems, launch new carriers and product categories, and help untangle a large monolith with an accent on domain boundaries, clean data models, and safe releases. Focus on shaping AI-enabled automation and agentic commerce, measuring squad KPIs, and solving complex operational challenges across Operations, Commercial, Logistics, and engineering.

Location: Flexible (UK); hybrid workplace. The wider Product team works across London, Amsterdam, and fully remote. Up to 45 days per year may be worked abroad.

Company

Bloom & Wild is a direct-to-consumer flower and gifting business operating the Bloom & Wild, bloomon, and Bergamotte brands, with additional products including cakes, candles, and hampers.

What you will do

  • Own the Delivery & Availability Management roadmap, balancing domain-driven architecture improvements with commercial value.
  • Guide a squad of 6 alongside a technical lead and make decisions about safely changing and extracting functionality from a large monolith.
  • Launch new carriers and support more complex product categories with Operations, Commercial, and Logistics.
  • Shape clean data models and interfaces that enable automation and agentic commerce.
  • Use AI tools, including MCP-based tooling, for research, debugging, and analysis.
  • Own squad KPIs, measure impact, course-correct, and keep senior stakeholders informed.

Requirements

  • End-to-end experience owning a product roadmap as a Technical Product Owner or Technical Product Manager.
  • Experience working inside a large monolith to define domain boundaries, bounded contexts, or service extractions.
  • Strong cross-functional collaboration with Operations, Commercial, Logistics, and engineering teams to solve ambiguous problems.
  • Hands-on experience with AI tools and the ability to turn data into decisions.

Culture & Benefits

  • Core hours and flexible working.
  • 25 days of holiday, a birthday day, flexible bank holidays, the option to buy 5 additional days, and a volunteering day.
  • Equity options, a health cash plan, ClassPass, the Bloom & Learn training framework, enhanced family leave, and product discounts.
  • Product work is organized across 8 squads with fortnightly sprints and quarterly OKRs.

Hiring process

  • Initial conversation with the Talent Acquisition Manager.
  • Video interview with the Head of Product for Ops Tech.
  • Longer interview split between engineering and product discussions, followed by a 30-minute final conversation with the CPTO.

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