2 дня назад
Senior Product Manager, AI Platform (B2C exp in retail investing)
125 000 - 200 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Product Manager, AI Platform (B2C exp in retail investing) (AI/equity research): Building AI-powered equity research and stock discovery products for individual investors with an accent on consumer investing workflows, financial data, and trustworthy AI-generated recommendations. Focus on defining research experiences, evaluating AI outputs for accuracy and explainability, and using behavioral data and experimentation to improve engagement and investment decisions.
Location: 900 Sylvan Avenue, Englewood Cliffs, New Jersey, United States
Salary: USD 125,000–200,000 per year
Company
is a publicly traded media and entertainment company whose CNBC business builds digital products for business news, personal finance, and individual investors.
What you will do
- Own stock research and discovery experiences across an AI-powered investing platform.
- Study investor behavior through interviews, usability testing, behavioral analysis, funnels, cohorts, and experiments.
- Translate customer problems, investment workflows, competitive insights, and data into product requirements, roadmaps, and execution plans.
- Partner with Engineering, Design, Data, and Equity Research to build research reports, screeners, company pages, recommendations, watchlists, portfolio insights, and conversational research interfaces.
- Define how AI-generated research communicates reasoning, evidence, sources, assumptions, uncertainty, and risk.
- Set product metrics and quality standards, then iterate based on user feedback and post-launch performance.
Requirements
- At least 5 years of product management experience, including B2C products for retail or individual customers.
- Experience building products for self-directed retail investors, such as stock discovery, equity research, market data, portfolio analytics, or investment recommendations.
- Strong public-equities fluency, including financial statements, earnings, valuation multiples, consensus estimates, catalysts, and investment theses.
- Experience taking consumer features from discovery through launch, experimentation, measurement, and iteration.
- Strong quantitative product skills, including funnels, cohort analysis, behavioral data, and product metrics.
- Experience with data-intensive products and AI-generated content, including accuracy, explainability, source attribution, trust, latency, and evaluation.
Nice to have
- Experience building AI-powered consumer products or features.
- Active individual investing experience and familiarity with public markets.
Culture & Benefits
- Work in a small, startup-like organization with high ownership, fast decisions, and direct access to leadership.
- Benefit from the resources and long-term commitment of a well-capitalized public company.
- Collaborate with engineering, product, design, data, and buy-side investment professionals.
- Compensation may include health insurance, retirement plans, paid time off, and additional benefits.
Hiring process
- External candidates may be required to attend an in-person interview with a Media employee at one of its locations before a hiring decision.
- Reasonable accommodations are available during the application and recruitment process.
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