Principal Product Manager, AI

LTK USA

5d•Remote

About The Position

LTK is seeking a Principal Product Manager, AI to shape the next generation of creator and agentic commerce. The role will define how AI helps brands find creators, turns commerce intelligence into better decisions, and enables agents to act on customers’ behalf while respecting their goals. Its scope includes LTK’s Creator Management Platform agent harness and LLM judges, in-house machine-learning models, and proprietary knowledge graph connecting creator, brand, campaign, and marketplace intelligence. This is a deeply technical, senior individual-contributor product role working directly with Machine Learning and Data Science teams. The Principal Product Manager will shape model capabilities, data and system requirements, evaluation practices, and trade-offs among quality, reliability, latency, and cost. The role will influence product strategy, technical direction, and investment decisions, and will help bring AI products to creators, brands, and consumers. The position is remote-first.

Requirements

8+ years of Product Management experience, including ownership of complex technical products, multi-quarter strategy, and demonstrated influence on product direction and business outcomes across teams.
Demonstrated experience shipping and improving AI/ML products in production, including LLM applications, AI agents, or model-backed workflows, with measurable customer adoption and business impact.
Strong technical fluency and experience working directly with ML engineers and applied scientists to define model requirements, guide experiments, and translate results into product decisions.
Concrete contributions involving model behavior, system architecture, data quality, reliability, latency, and cost.
Deep expertise evaluating AI-powered products, including non-deterministic model and agent behavior; experience building evaluation frameworks, investigating failure patterns, and helping teams adopt better evaluation practices.
Hands-on experience using prototypes, evaluation tools, and data analysis to validate product ideas, diagnose AI behavior, and improve product quality.
Strong product judgment and ability to identify valuable AI opportunities, turn complex technical capabilities into intuitive customer experiences, and balance innovation with business priorities and technical constraints.
Demonstrated experience leading complex cross-functional initiatives, influencing strategic product and investment decisions, and building alignment with senior leaders without direct authority.
Understanding of responsible AI product development, including reliability, privacy, safety, transparency, and appropriate human oversight.
Bachelor’s degree or equivalent practical experience.
A mindset focused on seizing opportunities and moving with urgency.
Dedication to fierce prioritization and operational excellence.
Adaptability to a dynamic, fast-moving environment.
A growth mindset and openness to feedback.

Responsibilities

Define the long-term vision and multi-quarter AI product strategy for proprietary ML models, agent infrastructure, and evaluation systems, including the customer-facing agent harness, LLM judges, and proprietary knowledge graph.
Work with Machine Learning and Data Science teams to translate customer problems into model capabilities and experiments, and shape data quality, coverage, and feedback loops that improve model performance.
Partner with Engineering on model selection, retrieval, tool use, and build-versus-buy decisions, balancing quality, reliability, latency, and cost.
Define how agents understand customer goals and act on customers’ behalf, including their tools and information access, approval requirements, and how customers understand, control, and override their actions.
Build privacy, transparency, and appropriate human oversight into AI experiences.
Own product evaluation and launch criteria; build representative evaluation datasets, investigate failures, and monitor production quality across task success, reliability, latency, and cost with Machine Learning and Data Science partners.
Improve AI evaluation practices across LTK by following emerging research and industry guidance, testing approaches, and evolving shared frameworks, tools, and quality standards.
Help other product managers build effective evaluations and strengthen launch readiness and production monitoring.
Partner with Product leads to identify valuable AI opportunities for creators, brands, and consumers; prioritize opportunities for models, agent capabilities, and shared infrastructure; and validate impact before bringing them into customer-facing products.
Champion responsible AI development, balancing innovation with reliability, privacy, transparency, and appropriate human oversight.
Elevate AI-native product thinking across teams, influence senior leaders, and help shape LTK’s long-term AI opportunities.