1 день назад
Senior Product Manager (AI Platform – Equity Research)
125 000 - 170 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Product Manager (AI Platform – Equity Research) (AI/financial data): Building AI-powered equity research and stock discovery products for individual investors with an accent on consumer investing workflows, trustworthy financial research, and data-intensive experiences. Focus on designing explainable AI-generated research, defining evaluation standards, and using behavioral data and experimentation to improve investor engagement.
Location: Englewood Cliffs, New Jersey, United States
Salary: USD 125,000–170,000 per year
Company
is a publicly traded media and entertainment company whose CNBC and StockStory brands are developing AI-powered investment research products.
What you will do
- Own stock research, discovery, screening, company page, watchlist, portfolio insight, and conversational research experiences.
- Conduct user interviews, usability testing, behavioral analysis, and product discovery with retail investors.
- Translate customer problems, investment workflows, competitive insights, and data into product opportunities, requirements, roadmaps, and execution plans.
- Partner with Engineering, Design, Data, and Equity Research to build intuitive products combining AI, market data, and expert research.
- Define how AI-generated research communicates evidence, sources, assumptions, uncertainty, and risk.
- Set success metrics, analyze funnels and cohorts, run experiments, and iterate based on user behavior.
Requirements
- 5+ years of product management experience, including meaningful experience with B2C investing, brokerage, financial research, market-data, or investment-information products.
- Strong public-equities fluency, including financial statements, valuation multiples, consensus estimates, catalysts, and investment theses.
- Experience taking consumer products from discovery through launch, experimentation, measurement, and iteration.
- Strong quantitative product skills with funnels, cohort analysis, behavioral data, experimentation, and product metrics.
- Experience with data-intensive products and translating complex information into intuitive, useful, and trustworthy consumer experiences.
- High agency, excellent communication, strong product judgment, and comfort working in an early-stage environment with incomplete information.
Nice to have
- Experience building AI-powered consumer products or features.
- Experience with LLM accuracy, explainability, source attribution, trust, latency, and evaluation.
- Experience with high-engagement consumer or subscription products.
Culture & Benefits
- Startup-style environment with high ownership, fast decisions, and direct access to leadership.
- Opportunity to influence both the product portfolio and product culture of a new organization.
- Support from the resources and long-term commitment of a well-capitalized public company.
- Benefits may include health insurance, retirement plans, paid time off, and additional compensation.
Hiring process
- External candidates may be required to attend an in-person interview with a Media employee before a hiring decision.
- Reasonable accommodations are available throughout the application and recruitment process.
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