VP, AI Strategy – Delivery

Pacvue

VP of AI Strategy & Delivery driving AI strategy and execution for Pacvue's AI Labs and machine learning efforts. Leading a global AI team to enhance commerce solutions.

Posted 6/2/2026full-timeRemote • 🇺🇸 United StatesLead💰 $250,000 - $310,000 per yearWebsite

About the role

Key responsibilities & impact

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 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 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.
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.
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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

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

ATS Keywords

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Hard Skills & Tools

AImachine learningdata scienceautomationrecommendation systemsoptimizationforecastingmeasurement intelligenceagentic workflowsgenerative AI

Soft Skills

customer-facing executive presencecommunication skillsproduct judgmentcoachingleadershipstrategic thinkingcollaborationproblem-solvingadaptabilityinfluence