- Страна
- США
- Зарплата
- 200 000 $ – 250 000 $
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на вакансии с ИИ

Staff Product Manager, Growth
Высокая заработная плата, работа в лидирующей международной компании и возможность влиять на ключевые бизнес-показатели через AI. Отличный социальный пакет, включая опционы и поддержку образования.
Сложность вакансии
Роль требует редкого сочетания глубокой технической экспертизы в ML (Data Science) и стратегического управления продуктом в масштабах миллионов пользователей. Высокий уровень ответственности за LTV и экономику подписки в условиях крупного международного бизнеса.
Анализ зарплаты
Предложенный диапазон $200k–$250k полностью соответствует рыночным стандартам для позиции Staff PM в Нью-Йорке, где базовые оклады для такого уровня в топовых технологических компаниях начинаются от $190k.
Сопроводительное письмо
I am writing to express my strong interest in the Staff Product Manager, Growth position at HelloFresh. With over 6 years of experience in product management, specifically focusing on scaling recommendation systems and personalization engines, I am excited by the opportunity to lead the Benefit Optimization squad. My background in partnering with Data Science teams to translate complex ML models into customer-centric value aligns perfectly with your mission to deliver intelligent, ethical, and transparent benefits.
Throughout my career, I have successfully balanced subscription economics with user experience, driving LTV and retention through sophisticated promotional logic. I am particularly drawn to HelloFresh's commitment to treating optimization as a tool for empowerment rather than manipulation. I am confident that my technical fluency in causal inference and model performance, combined with my strategic approach to cross-functional leadership, will allow me to make a significant impact on your global growth strategy.
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Откликнитесь в hellofresh уже сейчас
Присоединяйтесь к HelloFresh, чтобы создавать будущее персонализации в фудтехе с помощью передовых технологий машинного обучения!
Описание вакансии
The role
We are hiring a Staff Product Manager to define and lead the vision for HelloFresh's Benefit Optimization platform—using intelligent technology to deliver the right benefit to the right customer at the right time.
You'll lead the Benefit Optimization squad—a team of Data Scientists and Machine Learning Engineers on a mission to develop technology that delivers the best possible benefits to our customers. Together, you'll build the AI-powered engine that transforms how HelloFresh personalizes value across millions of customers. In this role, you will evolve HelloFresh's benefit delivery from generic offers to sophisticated ML-powered recommendations that understand customer preferences and drive intended actions—transparently and ethically. Your scope spans the entire customer journey: from first discovery, to reacquisition and active retention.
You will advocate for a customer-centric product philosophy: treating optimization as a tool for empowerment rather than behavioral manipulation. By working backwards from user needs, you will ensure our AI helps customers make better-informed decisions. This commitment to trust and transparency is our primary lever for growth; when customers feel truly understood, it naturally drives long-term retention, higher order frequency, and brand advocacy.
You will serve as the voice of the customer across data science, engineering, and marketing teams—translating ML capabilities into customer-first experiences while maintaining rigorous standards around transparency, privacy, and fairness.
What you’ll do
- Own the vision and roadmap for benefit optimization across the entire customer lifecycle—evolving from basic segmentation to ML-powered systems that deliver the right offer to each customer at the right moment.
- Scale decision making on benefits across all markets and touchpoints, ensuring consistent experiences that customers understand and appreciate while navigating complex technical and operational challenges.
- Partner with data science to build ML models that predict what customers value—ensuring recommendations are relevant, timely, and fair across diverse customer segments.
- Define success metrics that balance customer outcomes (satisfaction, retention, engagement) with business goals (conversion, LTV, discount efficiency)—measuring what matters for both customers and the company.
- Drive cross-functional alignment as a single-threaded leader across Tribes and Alliances—connecting Commercial, Marketing, CRM, and Growth teams around a unified benefit strategy.
What you’ll bring
- Strategic ML Product Leadership: 6+ years of PM experience (Senior/Staff level) with a proven track record of architecting and scaling personalization engines or recommendation systems that move the needle for millions of users across multiple markets.
- Technical Fluency & Data Partnership: A deep-seated ability to partner with Data Science and ML Engineering teams; you are as comfortable discussing model performance, feature engineering, and causal inference as you are defining a product vision.
- Commercial & Subscription Acumen: A sophisticated understanding of subscription economics—specifically how pricing dynamics, promotional logic, and personalized offers impact LTV and churn—allowing you to balance business growth with user value.
Interacting with front-end developers, designers, product managers and our teams around the world is very much part of our day-to-day, so communication skills are vital. We are looking for strong problem-solvers who can apply their engineering skills to a wide range of platforms and environments, while also acting as an ambassador to coach team members and stakeholders.
You’ll get…
- Competitive salary, 401k with company match that vests immediately upon participation, and company equity plan based on role
- Generous PTO, including sabbatical, and parental leave of up to 16 weeks
- Comprehensive health and wellness benefits with options at $0 monthly, effective first day of employment
- Tuition reimbursement for continuing education
- Up to 85% discount on subscriptions to HelloFresh meal plans (HelloFresh, Green Chef, Everyplate, and Factor_)
- Access to 7 different Employee Resource Groups (ERGs) including those for BIPOC, women, veterans, parents, and LGBTQ+
- Inclusive, collaborative, and dynamic work environment within a fast-paced, mission-driven company that is disrupting the traditional food supply chain
This job description is intended to provide a general overview of the responsibilities. However, the Company reserves the right to adjust, modify, or reassign work tasks and responsibilities as needed to meet changing business needs, operational requirements, or other factors.
New York Pay Range
$200,000—$250,000 USD
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Навыки
- Product Management
- Machine Learning
- Data Science
- Growth Hacking
- Personalization Engine
- Recommendation Systems
- LTV Optimization
- Subscription Economics
- Causal Inference
- A/B Testing
Возможные вопросы на собеседовании
Проверка опыта работы с ML-продуктами и понимания метрик качества моделей.
Расскажите о самом сложном случае внедрения ML-модели в продукт: как вы оценивали её эффективность и как решали проблему 'черного ящика' для пользователей?
Оценка способности балансировать между прибылью и лояльностью.
Как вы будете приоритизировать задачи, если краткосрочное увеличение конверсии через скидки негативно влияет на долгосрочный LTV?
Проверка навыков лидерства в кросс-функциональных командах.
Опишите ваш опыт взаимодействия с отделами маркетинга и финансов при внедрении персонализированных предложений. Как вы разрешали конфликты интересов?
Понимание этических аспектов персонализации.
Что для вас означает 'этичная оптимизация' и как вы планируете обеспечивать прозрачность алгоритмов для конечного клиента?
Проверка коммерческого мышления в модели подписки.
Какие рычаги, помимо прямых скидок, вы считаете наиболее эффективными для реактивации оттока в подписочных сервисах?
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- Страна
- США
- Зарплата
- 200 000 $ – 250 000 $