Senior Product Manager, AI Platform (B2C exp in fintech, retail investing, financial media)

VERSANT (Nasdaq: VSNT) is an industry-changing media and entertainment business and home to trusted brands that shape culture, inform audiences, and build lasting connections. It operates across political news, business news, golf, and sports entertainment, with a portfolio including CNBC, MS NOW, USA Network, Golf Channel, Oxygen, E!, SYFY, and digital assets like 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—small team, high ownership, fast decisions—while leveraging the resources of a well-capitalized public company. Our mission is to help millions of individual investors make better investment decisions by combining AI, institutional-quality research, proprietary data, and exceptional engineering.

About the role

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. This role sits at the intersection of consumer fintech, public equities, financial data, and AI. You will work with a high-caliber team of engineers and buy-side investing talent, including analysts from firms like Millennium, Point72, and KKR.

You will own and shape core product experiences across our AI equity research platform, focusing on tools that help investors discover stocks, conduct research, compare opportunities, understand investment theses, and build conviction. These may include AI-powered research reports, stock recommendations, screeners, company pages, watchlists, portfolio insights, and conversational research experiences.

This is a hands-on role for someone who wants to stay close to users, product details, data, and execution. While you don’t need professional equity analyst experience, you should be an active individual investor with strong public-markets fluency. You’ll identify high-value customer problems, define product requirements, validate assumptions with users and data, and collaborate with Engineering, Design, Data, and Equity Research to ship experiences that make institutional-quality research accessible to retail investors.

Responsibilities

• Own and evolve core stock research and discovery experiences across StockStory’s AI-powered investing platform.
• Develop a deep understanding of users through interviews, usability testing, behavioral analysis, and product discovery.
• Study how individual investors discover ideas, research companies, evaluate financial performance, compare stocks, build conviction, and make buy/sell decisions.
• Translate customer problems, investing workflows, competitive insights, and behavioral data into clear product opportunities, requirements, roadmaps, and execution plans.
• Partner closely with Engineering, Design, Data, and Equity Research to build products combining AI, financial data, and expert research into simple, compelling consumer experiences.
• Define how AI-generated research and recommendations communicate reasoning, evidence, sources, assumptions, uncertainty, and risk.
• Establish product standards for trust and quality in AI-generated financial research, working with investment and technical teams to evaluate outputs before and after launch.
• Build and improve products such as AI research reports, stock discovery tools, company research experiences, investment recommendations, watchlists, portfolio insights, and conversational interfaces.
• Define success metrics for owned products, including activation, engagement, retention, conversion, and research-behavior metrics.
• Analyze funnels, run experiments, synthesize feedback, and iterate based on user behavior.
• Maintain a strong understanding of the competitive landscape across consumer brokerages, investing platforms, financial research products, and emerging AI investing tools.
• Communicate product strategy, priorities, tradeoffs, decisions, and progress clearly across Product, Design, Engineering, Equity Research, and leadership.

Requirements

• Minimum of 5 years of product management experience, including meaningful experience building B2C investing, brokerage, financial research, market-data, or investment-information products.
• Preferred experience from consumer investing or financial-information platforms.
• Demonstrated experience owning products used by self-directed retail investors, ideally in stock discovery, screeners, equity research, market data, company/fundamental data, watchlists, portfolio analytics, investment recommendations, or AI-powered investing tools.
• Strong public-equities fluency: understanding of financial statements, earnings, valuation multiples, consensus estimates, catalysts, investment theses, and the investor evaluation process.
• Proven ability to take consumer product features from discovery through launch and iteration, including customer interviews, problem definition, PRDs, prioritization, engineering execution, launch planning, experimentation, and post-launch measurement.
• Experience building high-engagement consumer or subscription products, with a strong grasp of activation, engagement, retention, conversion, and recurring usage behaviors.
• Strong quantitative product instincts and experience using behavioral data, funnels, cohort analysis, experimentation, and metrics to drive decisions.
• Experience working with data-intensive products and translating complex information into intuitive, trustworthy consumer experiences.
• Experience building AI-powered consumer products or features is strongly preferred, including understanding of LLM-generated content challenges (accuracy, explainability, source attribution, user trust, latency, and evaluation).
• Exceptional product judgment and attention to detail, combining customer research, quantitative evidence, competitive insight, and personal judgment to determine what to build.
• Excellent written and verbal communication skills, with the ability to articulate user problems, product rationale, requirements, tradeoffs, and launch plans to technical and non-technical stakeholders.
• High agency and a builder mentality: comfortable operating with incomplete information, making decisions, diving into details, and moving quickly in an early-stage environment.

Benefits

VERSANT Media is committed to fair and equitable compensation practices. Actual compensation will be based on skills, qualifications, experience, and location, and may include health insurance, retirement plans, and paid time off.