Principal Product Manager, AI Platform

<h3>Accountabilities</h3><li>
<strong>Identify high-impact problems:</strong>Investigate complex operational challenges, define clear problem statements, establish measurable success criteria, and prioritize opportunities where AI can deliver meaningful business value.</li><li>
<strong>Prototype AI-driven solutions:</strong>Use AI coding tools and real-world data to rapidly develop functional prototypes, test hypotheses, and validate potential solutions before committing to full-scale development.</li><li>
<strong>Drive production implementation:</strong>Partner closely with engineering teams to transform successful prototypes into reliable, maintainable, and scalable production systems.</li><li>
<strong>Develop intelligent decision engines:</strong>Lead the design and development of decision-making capabilities tailored to different user needs, business contexts, and operational requirements.</li><li>
<strong>Improve operational measurement:</strong>Develop frameworks to measure and address challenges such as content decay, using data and actionable metrics to identify opportunities for continuous improvement.</li><li>
<strong>Build closed-loop attribution:</strong>Guide the development of attribution capabilities that connect client activities and decisions to measurable revenue outcomes, supporting better performance evaluation and optimization.</li><li>
<strong>Shape platform architecture and capabilities:</strong>Define a platform strategy that balances reusable, shared capabilities with the specialized requirements of different client segments and industries.</li><li>
<strong>Apply systems thinking:</strong>Evaluate downstream effects, operational dependencies, scalability considerations, and potential failure modes when designing and generalizing product solutions.</li><li>
<strong>Ensure AI reliability:</strong>Anticipate AI limitations, edge cases, and failure scenarios, incorporating appropriate safeguards and validation methods into production-ready systems.</li><li>
<strong>Collaborate across disciplines:</strong>Work directly with engineers and other stakeholders to align on requirements, communicate product decisions, and maintain clear, concise documentation.</li><li>
<strong>Engage with users and data:</strong>Gather direct user insights, analyze operational data, and continuously refine product direction based on evidence, user needs, and measurable results.</li><h2>Requirements</h2><li>
<strong>Relevant product experience:</strong>Approximately 2–11 years of experience building products or technology solutions, with a track record of taking ideas from initial concept through implementation.</li><li>
<strong>Hands-on prototyping skills:</strong>Demonstrated experience building and shipping functional prototypes using AI coding tools and real-world data to test assumptions and validate solutions.</li><li>
<strong>AI systems knowledge:</strong>Strong understanding of AI capabilities, limitations, failure modes, and edge cases, including the ability to design solutions that operate reliably in production environments.</li><li>
<strong>Technical product management:</strong>Ability to translate ambiguous business challenges into clear product requirements, practical technical solutions, and measurable outcomes.</li><li>
<strong>Strong systems thinking:</strong>Ability to understand dependencies, assess downstream consequences, evaluate operational impact, and determine when a solution should be generalized across use cases.</li><li>
<strong>Data-driven decision-making:</strong>Experience defining measurable operational problems, establishing success metrics, analyzing data, and validating whether implemented solutions deliver the intended results.</li><li>
<strong>Engineering collaboration:</strong>Ability to work closely with engineering teams, understand technical trade-offs, and guide the transition from experimentation to scalable production systems.</li><li>
<strong>Clear communication:</strong>Strong written and verbal communication skills, including the ability to document product decisions, technical requirements, and implementation plans concisely.</li><li>
<strong>Adaptability and ownership:</strong>A proactive, hands-on approach to problem-solving, with the ability to work independently, navigate ambiguity, and prioritize high-impact opportunities in a small, fast-moving team.</li><li>
<strong>Relevant domain experience:</strong>Experience in marketing services or developing decision engines, reporting tools, attribution systems, or similar data-driven products is advantageous.</li><li>
<strong>Location eligibility:</strong>Must be able to work remotely from within the United States. Visa sponsorship is not available for this position.</li><h2>Benefits</h2><li>
<strong>Competitive annual salary:</strong>Base salary range of $160,000–$230,000 USD, depending on qualifications, experience, and other relevant factors.</li><li>
<strong>Fully remote work:</strong>Flexibility to work remotely from within the United States.</li><li>
<strong>High-impact ownership:</strong>Opportunity to influence the direction and evolution of an AI platform with meaningful operational and commercial impact.</li><li>
<strong>Hands-on innovation:</strong>Work directly with AI technologies, real-world data, and engineering teams to develop and deploy practical solutions.</li><li>
<strong>Collaborative environment:</strong>Join a small, hands-on product team where individual contributions directly shape product outcomes.</li><li>
<strong>End-to-end product influence:</strong>Participate in the full product lifecycle, from identifying problems and validating prototypes to delivering scalable production systems.</li>