AI Principal Product Manager

The Knot Worldwide provides celebration-planning products, services, and content, including a global wedding Vendor Marketplace and personalized planning tools. The Principal Product Manager will define and build a new AI-powered wedding product from zero to one, owning its strategy, roadmap, market positioning, user validation, measurement, economics, launch, and cross-functional AI direction.

Responsibilities:

• Own from strategy to shipped product: rapid prototypes, early user cohorts, iteration loops, and launch. You define the roadmap and are accountable for the outcomes
• Own the market case, not just the product. Define who this is for, what it is called, where couples encounter it, why it wins, and over time how it becomes a durable business. You will build the positioning and category narrative together with Product Marketing and carry it into the roadmap rather than receiving it after the fact
• Define what a trustworthy AI is. When it guides, when it asks, when it acts, and how couples stay in control at every step. Your point of view here shapes the product's foundation
• Run a rapid build-measure-learn loop. Prototype weekly, put work in front of users and experts early, and kill ideas fast when the evidence says to
• Own the measurement and the unit economics. Define what success means for a product with no internal precedent, instrument it, and know what each engaged couple costs to serve. Usage-based cost is a product constraint here, not a finance problem to inherit
• Turn our proprietary assets into product advantage: shape how the vendor graph, couple graph, reviews, and planning workflows power experiences no general-purpose AI can match
• Help shape company-level AI direction. Act as a senior thought partner to product, engineering, design, marketing, and data science leadership on how AI changes what couples expect and what we build

Requirements:

• 8+ years of product management experience in consumer products at scale, including recent, hands-on experience shipping LLM-powered products (assistants, agents, or copilots) to real users
• A zero-to-one track record: at least one product taken from an ambiguous concept to a launched, measured reality, ideally inside a larger organization
• Working fluency with the modern AI stack: prompting, evaluation frameworks, agentic patterns, memory and tool use
• You can hold your own in technical design conversations with ML/AI engineers
• Fluency in what it costs to run AI in production
• You understand what drives cost per user, you have made model, context, and caching tradeoffs against a real budget, and you treat cost to serve as a product metric rather than someone else's line item
• Commercial and category instincts
• You have launched something the market had no existing name for, and you can argue from evidence about positioning, distribution, and willingness to pay
• A strong, articulable point of view on AI autonomy: when an assistant should guide, when it should ask, when it should act, and how to keep users in control
• Founder instincts
• You prototype as you write documents, you treat ambiguity as room to move, and you ship to learn rather than plan to certainty
• Executive-grade communication
• You turn complex, novel problem spaces into narratives that align leaders and teams
• Rigor about measurement
• You design success metrics for products that have no benchmark yet, and you let the data overrule your instincts