Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$270к-325к/год
$190к$210кмедиана$240к
По похожим ролям (50) ~ $210к/год
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Крутая вакансия
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Чётко очерченная роль уровня Staff даёт возможность отвечать за общие системы персонализации для массового продукта и измеримый бизнес-результат.
Выше рынка
Чёткая зона ответственности
Влияние на продукт
?Высокие требования к опыту
?Работа из офиса
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Staff Product Manager (Personalization) (Recommendations/Ranking): Owns shared personalization, fan-understanding, and predictive lifecycle systems for StubHub’s consumer product with an accent on recommendation quality, user modeling, and measurable lifetime-value impact. Focus on designing ranking and experimentation strategies, solving cold-start and freshness challenges, and driving adoption across Search, Discovery, and CRM.
Location: Hybrid, 3 days in office and 2 days remote, in New York, NY or Century City, CA, United States.
Salary: $270,000–$325,000 gross annual base salary, plus equity and benefits.
Company
hirify.global is a global marketplace for buying and selling tickets to live events, serving customers in 195 countries through hirify.global and viagogo.
What you will do
Own the multi-year personalization strategy and roadmap across ranking, taste and intent modeling, and predictive lifecycle signals.
Define recommendation objectives, signals, evaluation criteria, and product principles for returning fans and visitors with limited history.
Build shared personalization capabilities for Search, Discovery, and CRM, including reusable fan profiles and predictive signals.
Design experiments and holdouts to measure incremental effects on repeat purchase, frequency, retention, and lifetime value.
Lead technical discussions on models, features, pipelines, serving architecture, and adoption by partner teams.
Communicate strategy and results to executives and non-technical audiences, mentor PMs, and improve product practices.
Requirements
8+ years of product management experience on consumer web or native mobile products, including at least 3 years owning recommendation, ranking, or personalization systems.
Experience shipping ML-powered consumer experiences at scale and explaining their incremental business results.
Demonstrated impact on repeat purchase, retention, or frequency in a consumer business.
Experience designing holdouts and controlled experiments that isolate incremental effects and inform decisions.
Working knowledge of recommendation and ranking systems, user modeling, and supporting data infrastructure.
Ability to evaluate models, investigate offline-to-online gaps, and discuss trade-offs with ML engineers and data scientists.
Ability to balance multiple product teams and recognize when shared capabilities are more valuable than surface-specific solutions.
Strong product judgment around recommendation quality, filter bubbles, cold start, staleness, and user trust.
Excellent written and verbal communication, organizational skills, comfort with ambiguity, and ability to manage competing workstreams.
Nice to have
Prior ownership of a platform or shared system with internal customers.
Experience in live events, ticketing, travel, marketplaces, or commerce with time-limited inventory.
Familiarity with lifecycle prediction, purchase propensity, retention risk, or incremental response modeling.
Culture & Benefits
Hybrid work schedule with three office days and two remote days.
Autonomy to lead large-scale experiments and tests in an accelerated growth environment.
Competitive compensation including equity and performance-related upside.
Unlimited Flex Time Off, paid parental leave, 401(k), and health, vision, and dental insurance.
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