The Knot Worldwide - AI Principal Product Manager
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. • SUCCESSFUL CANDIDATES HAVE • 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. We will ask you for it. • 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. • WORK MODEL: • This role is fully remote and not tied to any specific office location. While there are no regular in-office requirements, we encourage our remote team members to gather intentionally for key company and team events to stay connected and engaged. • Starting pay is determined based on a combination of factors which may include location/market, education, experience, skills, and other qualifications of the successful candidate. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, commissions, equity or sales incentives, if applicable. We also offer benefits to eligible employees including medical, dental, retirement, and generous leave policies.
Benefits
• $159,141—$272,813 USD • AI FLUENCY • At TKWW, AI is a tool that helps our teams work smarter, move faster, and spend more time on the work that matters most. We expect every employee, in every role, to build fluency with the AI tools relevant to their work, use them thoughtfully and with sound judgment, and bring curiosity as these tools keep evolving. This isn't about replacing our people's expertise — it's about equipping every employee to use AI to raise the bar on the work we do together.
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