1 день назад
Product Manager (Machine Learning)
125 204 - 187 807$
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Описание вакансии
Текст:
TL;DR
Product Manager (Machine Learning): Defining and delivering machine learning-powered ad decision capabilities for FreeWheel’s cross-platform video advertising platform with an accent on product strategy, client-oriented solutions, and agile delivery. Focus on shaping supply and advertiser demand optimization, translating complex business requirements into product designs, and measuring feature success across the video advertising ecosystem.
Location: New York, United States
Salary: $125,204.74–$187,807.12 annual base pay
Company
FreeWheel, a company, provides video advertising technology for publishers, advertisers, and media buyers across screens, data types, and sales channels.
What you will do
- Own the ideation, design, and delivery of features enabling cross-platform video advertising.
- Set product strategy for hybrid and linear ad decisioning capabilities within the Streaming Hub.
- Identify market opportunities, analyze industry trends, and inform the product roadmap.
- Translate client, sales, and support needs into detailed product designs and business cases.
- Guide engineering delivery through agile development and ensure products meet functional and design requirements.
- Define and measure quantifiable success metrics while partnering with product, UX, sales, marketing, services, and client solutions.
Requirements
- 3–5 years of product management or equivalent experience delivering complex, customer-oriented solutions; relevant work experience is listed as 7–10 years.
- Bachelor’s degree in computer science, mathematics, engineering, or equivalent; an MBA or equivalent graduate degree is strongly preferred.
- Experience across the product management lifecycle for enterprise products or services.
- Ability to understand complex products and concepts, evaluate client requests, and guide engineering implementation.
- Superior communication, organization, adaptability, and attention to detail.
- Ability to travel domestically and internationally for up to 20% of working time.
Nice to have
- Experience in digital advertising, media operations, television, or content-provider ecosystems.
- MBA or equivalent graduate degree.
Culture & Benefits
- Full-time employment with benefits for eligible employees.
- Compensation includes base pay and may include a bonus for non-sales positions.
- Benefits support physical, financial, and emotional well-being.
- Work involves collaboration across product, engineering, UX, sales, marketing, advisory services, and client solutions.
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