data analysisproduct managementdata visualizationapismachine learningtradingdata productsdaily fantasy sportspricing optimization
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$130к-145к/год
$110к$140кмедиана$150к
По похожим ролям (50) ~ $140к/год
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У роли понятный продуктовый фокус и хороший набор льгот, но противоречивые условия по месту работы и близость к гемблинг-индустрии усложняют оценку предложения.
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Product Manager II - Trading, Data & Pricing (Daily Fantasy Sports/Data Products): Developing data products, trading tools, pricing capabilities, and machine-learning-driven features for a daily fantasy sports platform with an accent on data-informed product strategy, revenue optimization, and near real-time consumer-facing implementations. Focus on defining technical requirements, shipping products from ideation through launch, collaborating with engineering and data science, and optimizing engagement and business growth.
Location: Atlanta, GA preferred; remote candidates are considered from anywhere in the U.S. The role is also described as hybrid and on-site at the Atlanta headquarters. U.S. work authorization is required; visa sponsorship is not available.
Salary: $130,000–$145,000 per year.
Company
hirify.global is a daily fantasy sports platform covering sports including the NFL, NBA, League of Legends, and Counter-Strike.
What you will do
Develop and communicate the vision, strategy, and roadmap for data products, including recommender engine outputs and machine learning predictions.
Identify revenue opportunities through pricing optimization, upsell opportunities, and improvements to the trading and data segment.
Synthesize customer pain points, user research, analysis, and stakeholder feedback to improve products and user experience.
Define technical requirements and launch strategies, and own the product lifecycle from ideation through launch and ongoing optimization.
Collaborate with engineers, data scientists, game operations, and external data providers to build and iterate on trading and data tools.
Use data-driven decision-making and develop a strong understanding of player behavior and data consumption trends in daily fantasy sports.
Requirements
3+ years of experience in product management or related disciplines.
Experience working with internal data engineering and data science teams and external data providers.
Familiarity with production-quality, near real-time, consumer-facing machine learning implementations.
Strong understanding of data analysis principles and how to use data to inform product decisions.
Proven track record of shipping successful products that drive user engagement and business growth.
Documented results building data-backed products adopted by a large audience.
Excellent communication and interpersonal skills, with the ability to collaborate effectively across functions.
Strategic mindset with the ability to translate business goals into actionable product initiatives.
Passion for daily fantasy sports or related industries and understanding of the competitive landscape.
Nice to have
Track record of ongoing formal and informal learning.
Experience working directly with data teams responsible for sports projection models.
Strong interest in sports and/or gaming.
Familiarity with data visualization tools and APIs.
Ability to work with and define ambiguity.
Culture & Benefits
Inclusive culture that values people from diverse backgrounds.
Medical, dental, and vision plans, plus a 401(k) plan with company match.
Annual bonus, flexible PTO, paid parental leave, and disability benefits.
Workplace flexibility, modern work schedules, company equipment, and in-person events.
Annual performance reviews with career development opportunities.
Hiring process
The application period is expected to remain open for 30 days, subject to adjustment.
Recruiters can discuss the specific salary range for the candidate's work location during the hiring process.
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