SVP, Agentic Commerce Product

Job Description:
Location: New York, NY
Work Arrangement: Hybrid, 3 days in office
About the Role
Dentsu is seeking a Senior Vice President of Agentic Commerce Solutions to lead the development of next generation commerce technology and AI powered solutions across the enterprise.
This executive will report directly to the Head of Commerce for Dentsu North America and lead the development of agentic technology for dentsu.commerce within dentsu.connect, Dentsu’s enterprise technology platform. They will build the technical integrations, strategic partnerships and intelligent workflows that connect commerce intelligence, planning, activation and measurement.
Central to this role is advancing agentic commerce capabilities through Model Context Protocol (MCP), APIs and emerging AI architectures. Working in partnership with the EVP of Retail Media, the SVP will help shape the strategic product roadmap while owning the technical architecture, hands on development and delivery of dentsu.commerce.
The ideal candidate combines deep commerce expertise with strong software engineering experience and the ability to build, prototype and scale AI powered solutions. This leader must be equally comfortable defining technical strategy, writing code alongside engineering teams and translating emerging technologies into enterprise solutions that drive operational efficiency and measurable client growth.
Key Responsibilities
Product Development and Technology Architecture
Partner with the Head of Commerce and EVP of Retail Media to establish the strategic product roadmap and development priorities for dentsu.commerce.
Own the technical architecture and define capabilities connecting commerce intelligence, audience insights, planning, activation and measurement.
Lead the development and delivery of dentsu.commerce within dentsu.connect, ensuring alignment with enterprise technology standards.
Work directly with engineering teams to design, prototype, develop and test technical solutions, contributing hands on coding and technical problem solving where needed.
Translate business requirements into technical specifications, development plans and scalable software solutions.
Own technical execution plans, development milestones and delivery against defined business outcomes.
Agentic Commerce and MCP Integrations
Architect and build MCP based connections, APIs and integrations across Dentsu’s commerce technology ecosystem.
Develop and prototype AI agents and automated workflows that connect commerce data and intelligence directly to planning, activation, optimization and measurement.
Partner with technology providers in the commerce ecosystem to enable secure, scalable agentic capabilities.
Establish technical frameworks for agent orchestration, platform connectivity, governance and responsible AI deployment.
Evaluate code, troubleshoot integration challenges and guide engineering teams in developing production ready agentic solutions.
Identify opportunities to automate manual processes and accelerate commerce decision making.
Strategic Technology Partnerships
Build senior relationships with commerce technology partners to influence integration roadmaps and identify opportunities for joint innovation.
Evaluate emerging AI technologies, commerce platforms and integration frameworks through technical assessments, proof of concepts and hands on experimentation.
Collaborate with internal technology and commercial stakeholders on strategic product partnerships and investment priorities.
Identify opportunities to leverage partner capabilities to differentiate Dentsu’s commerce solutions.
Commercialization and Enterprise Growth
Translate technical capabilities into differentiated commerce products that support enterprise growth.
Partner with Commerce leadership to support product commercialization, adoption and strategic new business opportunities.
Develop business cases for technology investments, including revenue opportunities, operational efficiencies and scalability.
Establish frameworks to deploy and scale commerce solutions across clients, retailers and markets.
Qualifications and Experience
10+ years of experience in commerce technology, software engineering, digital product development, marketing technology or enterprise technology solutions.
Proven experience developing and scaling technology products within an agency, technology company or enterprise environment.
Strong hands on software development experience, ideally with Python, JavaScript or TypeScript, including experience building APIs, integrations and AI powered applications.
Demonstrated ability to write, review and troubleshoot code and develop working prototypes independently.
Strong understanding of the commerce and retail media technology ecosystem.
Demonstrated experience architecting and implementing API integrations, platform connectivity and strategic technology partnerships.
Practical experience with Model Context Protocol (MCP), large language models, agentic AI architectures and AI workflow orchestration.
Experience translating technical capabilities into commercial products and scalable enterprise solutions.
Ability to collaborate effectively with engineering, product, data science and commercial leadership teams.
Strong understanding of enterprise technology governance, data privacy and responsible AI principles.
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