Senior Product Manager, AI Platform (B2C exp in retail investing)
Englewood Cliffs, NEW JERSEY, United States Hybrid
$125,000–$200,000 a yearJobFig found this opening at its original source and checks that it remains available.
About the role
Senior Product Manager, AI Platform – Equity Research VERSANT is an independent, publicly traded company that brings together powerhouse brands such as CNBC, MS NOW (formerly MSNBC), USA Network, Oxygen, E!, SYFY, and Golf Channel, along with dynamic digital and direct-to-consumer brands such as Fandango, Rotten Tomatoes, GolfNow, and GolfPass. StockStory, part of CNBC and VERSANT, is building the next generation of AI-powered equity research for individual investors. We operate like a startup—a small team with high ownership, fast decisions, and direct access to leadership—while benefiting from the resources and long-term commitment of a well-capitalized public company. Our mission is simple: help millions of individual investors make better investment decisions. We’re combining AI, institutional-quality investment research, proprietary data, and exceptional engineering to redefine how retail investors discover, research, and evaluate stocks. We’re looking for a Senior Product Manager with deep experience building consumer investing, financial research, or market-data products to help us build a new generation of AI-powered equity research products.
What you'll bring
- You do not need to have worked professionally as an equity analyst, but you should be an active individual investor with strong public-markets fluency.
- Minimum of 5 years of product management experience, including meaningful experience building B2C consumer-facing products serving retail or individual customers.
- Demonstrated experience owning products used by self-directed retail investors
- Strong public-equities fluency.
- You should understand financial statements, earnings, valuation multiples, consensus estimates, catalysts, investment theses, and the basic process investors use to evaluate public companies.
- Proven ability to take consumer product features from discovery through launch and iteration, including customer interviews, problem definition, PRDs/product requirements, prioritization, engineering execution, launch planning, experimentation, and post-launch measurement.
- Strong quantitative product instincts and experience using behavioral data, funnels, cohort analysis, experimentation, and product metrics to make decisions and evaluate launches.
- Experience working with data-intensive products and translating complex information into consumer experiences that are intuitive, useful, and trustworthy.
- You should understand the opportunities and product challenges associated with LLM-generated content, including accuracy, explainability, source attribution, user trust, latency, and evaluation.
- Exceptional product judgment and attention to detail.
- You should be able to combine customer research, quantitative evidence, competitive insight, and your own judgment to determine what should—and should not—be built.
- Excellent written and verbal communication skills, with the ability to clearly articulate user problems, product rationale, requirements, tradeoffs, metrics, and launch plans to both technical and non-technical stakeholders.