Pacvue - VP, AI Strategy & Delivery
Requirements
• 10+ years of experience in AI, ML, Data Science, product leadership, enterprise software, ad tech, commerce media, or related fields, all at a global level. • Experience leading AI, ML, or Data Science teams within a product-led organization, with 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, with 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 demos. • Excellent communication skills, with the ability to make AI understandable, credible, and actionable. • Willing to travel for customer facing events and meetings, as well as regular trips to China with meet with key members of our technical team.
Responsibilities
• Represent Pacvue’s AI Vision with Customers • Serve as a senior customer-facing voice for Pacvue 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 and Scale AI / Data Science • Lead Pacvue’s AI, ML, and Data Science organization across experimentation, applied models, recommendations, optimization, measurement intelligence, forecasting, workflow automation, and agentic AI. • Partner closely with existing AI and Data Science leaders to scale the organization, strengthen execution, and increase the impact of AI across customer-facing products. • Create operating clarity across AI Labs, production ML/AI, Data Science, Pacvue Agent, and agentic workflows, ensuring clear ownership, priorities, evaluation criteria, and product impact. • Ensure our AI, ML and Data Science teams are aligned, focused and executing seamlessly. Building a world-class AI team is paramount for our success and this leader must be as passionate about talent as they are the product and innovation they lead. • Accelerate Pacvue Agent and Agentic AI • Accelerate Pacvue Agent as a core AI experience across the platform, directing the team, 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. • Own AI Labs and Experimentation • 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 that balances speed, customer value, feasibility, responsible AI practices, and business impact. • Advance ML/AI and Data Science Capabilities • Own the product and technical direction for ML, AI, and Data Science capabilities across recommendations, optimization, forecasting, measurement intelligence, workflow automation, and performance insights. • Partner with Product, Engineering, and AI/DS leaders to turn models and AI capabilities into reliable, scalable, explainable product experiences. • Drive decisions around model quality, explainability, trust, governance, evaluation, and adoption. • Partner Across Product and GTM • Work closely 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. • Help 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 demo layer.
Benefits
• Flexible Paid Time Off • Paid Holidays and Floating Holidays • Medical, Dental, Vision, FSA, HSA with employer contribution, Life Insurance and Pet Insurance • 401k with Employer Match • Take up to 2 Days of Paid Time Off to Volunteer with a 501c Organization • Paid Parental Leave • Company-subsidized membership to Wellhub and Peloton • Fertility and family-building support through Carrot • The annual base salary range for this position is $250,000-$310,000 USD. The actual salary will vary depending on the applicant’s experience, skills, and abilities as well as internal equity and market data for their location. This position is also eligible for an additional annual bonus compensation through one of Pacvue’s highly attractive incentive plans, full details will be provided during the recruitment process.
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