Director of Product, AI Product Strategy

At Forge (NYSE: FRGE), we know our team is our greatest asset. As technology innovators in the private market, our vision is to deliver a richer future for everyone. We live that vision through our values of being bold, humble, and accountable. We experience the value that our vision brings to the world every day, helping the teams behind the greatest innovations of our generation, from space travel to planet-saving, plant-based nutrition, and more. 

With liquidity solutions, exclusive data and insights, a custody offering, and a vibrant marketplace, Forge’s goal is to build the best-in-class technology infrastructure to power a global private market that is transparent, accessible, and seamless for companies, their employees, and investors. Through Forge, employees can sell their private shares, employers can reward shareholders with pre-IPO liquidity and individual and institutional investors can participate in private unicorn growth. 

Forge's differentiated global marketplace addresses rising demand among individual and institutional investors for exposure to private company stocks and is building a growing network effect. 

Our ability to offer these powerful financial solutions has generated incredible interest from investors, demand from customers, and a need to grow our team to meet the needs of more companies, teams, and innovators in this way. 

The Role:

Forge Global, a pioneer in delivering data intelligence solutions for private markets, is searching for a new Director of AI Product strategy. We're seeking an experienced professional with a background in building & growing AI powered financial market data products and solutions with a drive to execute. This role is pivotal in advancing our strategic mission of fostering transparency in private markets, expanding our product offerings and supporting the creation of an industry leading trading marketplace. This role will sit at the intersection of artificial intelligence technology, product development, and business strategy to guide the vision, strategy and execution of AI-driven products ensuring we meet the market’s needs.

Location: This will be a hybrid role where you’ll be onsite 2-3 days a week in our San Francisco or New York office. 

Responsibilities:

• Define and communicate the vision, strategy, and roadmap for AI and data-centric products, ensuring alignment with broader business objectives and customer needs
• Deliver a roadmap that delivers new data insights leveraging AI to drive product enhancements, new data content and analytics
• Lead the end-to-end product lifecycle for AI-powered data products, from ideation and research through development, deployment, and post-launch analysis
• Use a data-driven approach to product discovery, analyzing market trends, customer feedback, competitor analysis and data insights to identify new opportunities and drive product enhancements
• Define key performance indicators (KPIs) and success metrics for products, adoption by customers and Cost of goods
• Partner closely with data research, operations, engineering, design, and business teams for product ideation, development, testing, and iteration based on client feedback, company vision, and strategic objectives
• Collaborate with legal, compliance, and data governance teams to maintain data quality, integrity, security, and compliance with governance of AI
• Focus on personalization by leveraging machine learning models to deliver tailored insights that align with each client’s investment profile
• Develop strategies to drive user adoption of AI products. This may involve conducting user testing and refining features based on feedback
• Focus on aligning product outcomes with business objectives and ensure they meet both market and user demands

Qualifications:

• 10+ years of product management experience in a client-facing role, most of it attributed to building & launching financial data products such as pricing data, insights, data-driven investment signals
• Strong understanding of AI/ML concepts, data architecture, and data science methodologies; experience with big data platforms, machine learning frameworks, and cloud technologies is highly desirable
• In-depth understanding of market data and the investment lifecycle across diverse financial asset classes
• Demonstrated experience in conceptualizing and developing financial data-oriented products using AI
• Superior communication skills, the ability to drive cross-functional delivery and interact effectively with senior leadership and clients.
• Bachelor’s degree in data science, Computer Science, Finance, Business Administration, or Economics
• A strong analytical mindset, problem solving skills and ability to think o