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14 дней назад

Product Manager II - Trading, Data & Pricing

130 000 - 145 000$
Формат работы
remote (только USA)/hybrid/onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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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