Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Нижеразвернуть
$137к-177к/год
$160к$210кмедиана$240к
По похожим ролям (50) ~ $210к/год
На СНГ рынке: $5.4к/мес ($3.9к - $6.6к)
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У роли четкая зона ответственности для senior-уровня, подробно описана работа с ML-продуктами в production и есть актуальный фокус на AI; обязательный офис в Карлсбаде ограничивает доступность вакансии.
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Четкая зона ответственности
Работа с AI
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Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Product Manager, AI & Planning Science (AI/ML and retail analytics): Managing and delivering data science and machine learning products for forecasting, inventory optimization, demand sensing, customer analytics, and personalization with an accent on roadmap prioritization, model requirements, and production adoption. Focus on integrating model outputs into merchandising, supply chain, marketing, and e-commerce workflows, monitoring model performance, and extending product rigor to agentic AI and generative AI initiatives.
Location: Onsite in Carlsbad, California, United States.
Salary: USD 137,300–176,610 per year; bonus eligible.
Company
hirify.global develops athletic apparel with a casual aesthetic inspired by an active coastal California lifestyle.
What you will do
Maintain and sequence the planning science and consumer AI product roadmap across forecasting, inventory optimization, demand sensing, customer analytics, and personalization.
Partner with merchandising, supply chain, finance, marketing, e-commerce, technology, CRM, data science, and engineering teams to identify opportunities and prioritize investments.
Translate business needs into product requirements, model evaluation criteria, acceptance standards, and delivery plans.
Guide development, agile ceremonies, launches, user enablement, stakeholder communication, and post-launch monitoring for data science and ML products.
Track model accuracy, drift, coverage, user behavior, and downstream business impact while maintaining a continuous improvement backlog.
Extend product delivery practices to agentic AI and generative AI initiatives as the portfolio evolves.
Requirements
Bachelor’s degree in Business, Computer Science, Statistics, Engineering, or a related field, or equivalent years of experience.
8+ years of product management experience, including 3+ years working directly with data science or machine learning teams on products shipped to production users.
Demonstrated experience managing roadmaps and delivering data science or ML features end to end with measurable business outcomes across planning, operations, or customer-facing domains.
Ability to work with data scientists and ML engineers and discuss modeling approaches, evaluation metrics, and data requirements in meaningful depth.
Experience translating planning, forecasting, customer analytics, or operational needs into model requirements and product specifications.
Familiarity with the full ML lifecycle, including data preparation, model development, evaluation, deployment, and monitoring.
Excellent written and verbal communication skills for business, executive, and technical audiences.
Strong organizational skills, bias toward action, and comfort with uncertainty in data science delivery.
Nice to have
Experience in retail, e-commerce, direct-to-consumer, or consumer goods, especially planning and customer analytics.
Familiarity with demand sensing, replenishment optimization, size curve modeling, or markdown optimization.
Familiarity with customer lifetime value, segmentation, churn modeling, propensity scoring, or AI-driven personalization.
Exposure to agentic AI, LLM-powered workflows, or generative AI applications in a business context.
Ability to work directly with SQL, BI tools, or experimentation frameworks to assess model performance and product outcomes.
Experience with ML platforms such as Azure ML, Databricks, SageMaker, or similar.
Familiarity with responsible AI principles, including bias, fairness, explainability, and model governance.
Curiosity about emerging data science and AI techniques and experience bringing new capabilities into production with technical teams.
Culture & Benefits
Health insurance, savings and retirement plan, and employee assistance program.
Paid time off, wellness and fitness benefits.
hirify.global discount and industry perks.
Equal opportunity and affirmative action employment practices.
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