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Principal Product Manager (AI)

Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
hybrid
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
senior
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
Germany/Estonia
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

ВСкст:
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TL;DR

Principal Product Manager (AI): Defining and executing the product strategy for the rides matching and dispatching engine with an accent on transitioning from heuristic-based systems to ML and RL-powered allocation. Focus on coordinating the productionization of reinforcement learning models and optimizing supply-demand dynamics at scale.

Location: Hybrid (Tallinn, Estonia or Berlin, Germany). At least 12 monthly in-office days required

Company

One of the fastest-growing tech companies in Europe and Africa, providing urban mobility solutions including rides, food delivery, and rentals.

What you will do

  • Define the product strategy and roadmap for the dispatching engine, prioritizing ML/RL investments.
  • Coordinate the full lifecycle of ML and RL models, from offline training and shadow mode to A/B testing and live monitoring.
  • Maintain and improve the existing matching stack performance while building the next-generation engine.
  • Establish and manage the signal contract between the matching and pricing systems.
  • Design experiments and translate complex algorithmic trade-offs into recommendations for senior stakeholders.
  • Lead a cross-functional pod of engineers, data scientists, and specialists to hit matching KPIs.

Requirements

  • Experience shipping production ML models for real-time allocations at scale.
  • Background in two-sided marketplaces, logistics platforms, or high-throughput environments.
  • Proven track record of maintaining live systems during a migration to a new architecture.
  • Experience coordinating cross-functional product pods and negotiating interface contracts.
  • Ability to move between detailed statistical evaluation and clear stakeholder communication.
  • Direct exposure to reinforcement learning (RL) in production environments.

Culture & Benefits

  • Competitive salary and stock options.
  • Wellness perks for physical and mental health.
  • One-month paid sabbatical after 5 years of service.
  • Hybrid work model balancing flexibility with in-person collaboration.
  • Annual company events and team gatherings.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’