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Pacvue

Cloud-based advertising automation and analytics platform

Vice President AI Strategy & Delivery

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • At least 10 years of experience in AI, machine learning, data science, product leadership, enterprise software, ad tech, commerce media, or related fields at a global level.
  • Experience leading AI, machine learning, or data science teams within a product-led organization, including a track record of turning advanced technical capabilities into scalable customer-facing products.
  • Experience leading through senior technical and product leaders, with the ability to coach, amplify, and scale existing teams.
  • Strong understanding of applied AI, machine learning, generative AI, agentic workflows, recommendation systems, optimization, forecasting, measurement, or decisioning platforms.
  • Strong customer-facing executive presence and the ability to explain AI clearly to senior brand, agency, retailer, and partner stakeholders.
  • Strong product judgment, including the ability to distinguish high-value AI use cases from low-value demonstrations.
  • Ability to communicate AI in a clear, credible, and actionable manner.
  • Willingness to travel for customer-facing events and meetings, as well as regular trips to China to meet with key members of the technical team.

Responsibilities

  • Serve as Pacvue’s senior customer-facing voice on AI, machine learning, Pacvue Agent, agentic workflows, automation, measurement intelligence, and the future of commerce media.
  • Engage directly with enterprise brands, agencies, retailers, and strategic partners to understand their AI priorities, concerns, workflow gaps, and adoption barriers.
  • Support executive briefings, customer advisory boards, strategic sales conversations, industry events, and thought leadership.
  • Translate customer feedback into AI strategy, experimentation themes, product priorities, and roadmap decisions.
  • Lead Pacvue’s AI, machine learning, and data science organization across experimentation, applied models, recommendations, optimization, measurement intelligence, forecasting, workflow automation, and agentic AI.
  • Partner with existing AI and data science leaders to scale the organization, strengthen execution, and increase AI’s impact across customer-facing products.
  • Create operating clarity across AI Labs, production machine learning and AI, data science, Pacvue Agent, and agentic workflows, including clear ownership, priorities, evaluation criteria, and product impact.
  • Ensure the AI, machine learning, and data science teams are aligned, focused, and executing seamlessly; build a world-class team.
  • Accelerate Pacvue Agent as a core AI experience across the platform, directing the team and helping customers move from insight to action through trusted, explainable, workflow-embedded AI.
  • Lead Pacvue’s agentic AI strategy across customer workflows, internal productivity, decision support, and governed automation.
  • Define where AI should recommend, explain, act, escalate, and learn within customer and internal workflows.
  • Partner with Product Growth and Customer Success to ensure AI capabilities are adopted, trusted, and connected to measurable customer outcomes.
  • Lead AI Labs, focused on rapid experimentation, prototyping, and validation of emerging AI capabilities.
  • Identify high-potential AI use cases, test them quickly, and determine which should graduate into production roadmaps.
  • Create a disciplined experimentation model balancing speed, customer value, feasibility, responsible AI practices, and business impact.
  • Own the product and technical direction for machine learning, AI, and data science capabilities across recommendations, optimization, forecasting, measurement intelligence, workflow automation, and performance insights.
  • Partner with Product, Engineering, and AI/Data Science leaders to turn models and AI capabilities into reliable, scalable, explainable product experiences.
  • Drive decisions around model quality, explainability, trust, governance, evaluation, and adoption.
  • Work with Media, Product Growth, Retail Media, Measurement, Platform, Engineering, Sales, Customer Success, and Marketing teams to bring AI into Pacvue’s highest-value product areas.
  • Translate AI capabilities into clear customer narratives, business value, packaging, and differentiated market positioning.
  • Ensure AI is embedded into core product workflows rather than treated as a standalone feature or demonstration layer.

About the Company

Pacvue

Cloud-based advertising automation and analytics platform

Pacvue provides a software platform that helps online retailers improve advertising and sales on major marketplaces such as Amazon and Walmart. The platform centralizes tools for campaign automation, sales analytics, and digital shelf optimization, while Revenue Recovery services support growth; users benefit from automated tasks and clearer performance insights. It stands out by focusing on end-to-end marketplace advertising, combining centralized analytics with automation and an education-first approach through Pacvue University. The goal is to help eCommerce businesses achieve higher advertising efficiency and stronger sales on competitive marketplaces through integrated technology and client-focused services.

Company size
501-1,000
Company stage
Acquired
Total funding
$1.1M
Headquarters
Seattle, WA
Founded
2018

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