Назад
Company hidden
3 дня назад

Sr. Product Manager, Recs Cross-Surface Personalization

170 000 - 200 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/

TL;DR

Sr. Product Manager (Recommendations Cross-Surface Personalization): Leading how hirify.global’s recommendation system connects with other product surfaces and teams with an accent on integrating ranking scores, embeddings, and insights into experiences beyond the main card stack. Focus on building structured intake and prioritization processes and improving feedback loops across pods.

Location: This is a hybrid role and requires in-office collaboration. This position is based in Palo Alto, CA.

Salary: $170,000 - $200,000 a year

Company

Launched in 2012, hirify.global® revolutionized how people meet.

What you will do

  • Expand Recs personalization across surfaces, integrating ranking scores, embeddings, and insights into experiences beyond the main card stack.
  • Lead cross-pod collaboration for Recs, managing inbound feature and data requests and ensuring efficient evaluation, prioritization, and execution.
  • Build structured intake and prioritization processes.
  • Improve feedback loops across pods by collaborating with partner teams to ensure high-quality feedback signals that strengthen Recs models and personalization accuracy.
  • Partner with Recs ML and Platform PMs.

Requirements

  • 6+ years of Product Management experience in large-scale consumer or marketplace environments.
  • Proven success leading cross-functional or cross-surface initiatives with multiple dependencies.
  • Strong understanding of recommendation systems, personalization, or ML-driven products.
  • Experience defining and managing structured intake or prioritization processes.
  • Exceptional communication and stakeholder management skills.
  • A systems mindset.

Nice to have

  • Background in large-scale personalization or ranking systems used across multiple surfaces.
  • Familiarity with data platforms, experimentation frameworks, and feedback signal design.
  • Experience with marketplace or network-effect dynamics.
  • Track record of improving collaboration between Product, ML, and Recs Engineering teams.

Culture & Benefits

  • Flexible Vacation and 10 annual Wellness Days.
  • Time off to volunteer and charitable donations matched up to $15,000 annually.
  • Comprehensive health, vision, and dental coverage.
  • 100% 401(k) employer match up to 10%, Employee Stock Purchase Plan (ESPP).
  • 100% paid parental leave, family forming benefits, and Milk Stork.
  • Investment in your development.
  • Investment in your wellness.

Будьте осторожны: если вас просят войти в iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →