Overview

As VP of AI Enablement at Razorfish, you will lead our AI enablement strategy across three pillars: (1) internal productivity and automation, (2) client innovation and our AI story, and (3) platform AI and partnerships (Google, Meta, Amazon). The role is both hands-on and strategic - you set the direction and you build alongside the team.

We have already built and shipped a suite of agentic AI web applications, in production, spanning the media-planning lifecycle. That platform is not the whole job - it is the proof that we can build at the frontier and the engine that helps enable all three pillars. Your mandate is to grow that capability, deepen adoption, sharpen our market story, and turn platform partnerships into advantage.

We are looking for someone rare: hands-on enough to build alongside the team and strategic enough to set the direction. The ideal hire is already on the frontier of agentic AI - someone with the ambition and ability to have built a platform like this in the first place. At minimum, you can develop a clear vision for how to advance all three pillars, grow adoption, and keep the work evolving as the underlying tools advance.

The three pillars

The role is organized around three pillars. The platform we've built helps enable all three - it is the means, not the mission.

• Pillar 1 - Internal productivity & automation. Build and scale internal agentic tools and automations that replace manual, spreadsheet-bound workflows and make every craft faster and more accurate. A suite of agentic apps already in production is the flagship proof point and the platform this pillar grows from.
• Pillar 2 - Client innovation & the AI story. Turn AI capability into client-facing advantage - pitch wins, sharper deliverables, and new products - and build and tell our AI story in the market: the thought leadership, positioning, and narrative that win business and make us known for this.
• Pillar 3 - Platform AI & partnerships. Stay ahead of platform-native AI across major platforms such as Google, Meta, and Amazon, guide teams to use it well, and build the partner relationships that unlock data access, co-development, and advantage - including connecting our tools directly to platform APIs.

Responsibilities

• Own the AI enablement strategy. Develop and own a clear vision across all three pillars: internal productivity and automation, client innovation and our AI story, and platform AI and partnerships.
• Build, hands-on. This is a builder's role. You will personally prototype and ship tools using modern agentic coding environments, stand up multi-agent workflows, and steer what the team builds - not just manage a roadmap from a distance.
• Architect multi-agent systems. Decide when a problem is best solved with a single well-scoped prompt versus a deterministic multi-agent pipeline with auditable, computed outputs.
• Grow our agentic platform. Evolve and scale our suite of agentic apps already in production as the platform that helps power all three pillars - it serves the pillars; it is not the whole mandate.
• Pillar 1 - drive internal adoption. Partner with leaders across SEO, paid search, paid social, programmatic, ad ops, strategy, and media ops to find high-leverage use cases, replace brittle spreadsheet workflows, and build the literacy and documentation that make adoption stick.
• Pillar 2 - client innovation and the AI story. Turn AI capability into pitch wins, sharper client deliverables, and new products - and build and tell our AI story to clients and the market through thought leadership and a credible external voice.
• Pillar 3 - platform AI and partnerships. Stay ahead of platform-native AI across major platforms such as Google, Meta, and Amazon, guide teams on best practices, and build the partner relationships that unlock data access, co-development, and advantage - including connecting our tools directly to platform APIs.
• Make build-vs-buy calls deliberately. Form and maintain a clear point of view on where platform-native and enterprise AI tools are the right choice versus where custom systems we build outperform them.
• Govern data, cost, and risk. Keep the work defensible: metered-API cost controls, auditable outputs, per-user authentication, and strict confidential-client-data discipline.
• Develop the team and measure impact. Mentor builders and analysts, raise the organization's AI literacy, and establish KPIs for productivity, quality, cost savings, adoption, and client/market impact - reporting to senior leadership.

Qualifications

• Hands-on agentic building (strongly preferred, heavily weighted). Demonstrated experience building with agentic coding environments - modern AI coding agents such as Claude Code or Codex, Cursor, or equivalent - with real tools or pipelines you have personally shipped and that real users use. A portfolio beats a résumé line here.
• Frontier fluency. You are already on, or visibly ready to jump to, the frontier of agentic AI - not someone who has read about it. You can speak credibly about what changed in the tooling in the last few months and what you adopted because of it.
• Multi-agent / LLM systems understanding. Practical grasp of multi-agent orchestration, prompt and context engineering, schema-validated LLM output, and why deterministic computed numbers (not LLM arithmetic) make a deliverable defensible.
• Strategic range. 8+ years in digital marketing, marketing operations, product, or business transformation, with a track record of driving adoption of new technology and workflows - and the ability to set vision, not just execute tasks.
• Leadership without (and with) authority. 3+ years leading or enabling teams across disciplines; able to influence crafts that don't report to you and to mentor builders who do.
• Marketing-workflow depth. Real understanding of how paid search, SEO, paid social, programmatic, ad ops, strategy, and media ops actually work, so you can spot where AI creates leverage.
• Product and program instincts. Comfortable owning the development and deployment of internal tools end to end - scoping, shipping, measuring, iterating.
• Storytelling and thought leadership. Able to build and tell a compelling AI story - internally, to clients, and in the market - and to represent the agency credibly as an innovator.
• Partnership and stakeholder skills. Able to build productive relationships with major platform partners (e.g., Google, Meta) and to influence senior internal stakeholders.
• Change management and communication. Able to build genuine enthusiasm for new tools while addressing real resistance, and to translate technical work into business impact for senior stakeholders.
• Analytical, outcome-driven mindset. You measure impact and tell the truth about it.
• Nice to have. Familiarity with cloud deployment (e.g. GCP Cloud Run), modern LLM APIs, the Model Context Protocol (MCP), and cost governance for metered AI/data APIs.

Education

BA/BS in Marketing, Business, Computer Science, Information Systems, or related field. Equivalent demonstrated capability - especially a portfolio of shipped agentic tools - is weighed at least as heavily as the degree.

Additional information

The Power of One starts with our people! To do powerful things, we offer powerful resources. Our best-in-class wellness and benefits offerings include:

Paid Family Care for parents and caregivers for 12 weeks or more
Monetary assistance and support for Adoption, Surrogacy and Fertility
Monetary assistance and support for pet adoption
Employee Assistance Programs and Health/Wellness/Comfort reimbursements to help you invest in your future and work/life balance
Tuition Assistance
Paid time off that includes Flexible Time off Vacation, Annual Sick Days, Volunteer Days, Holiday and Identity days, and more
Matching Gifts programs
Flexible working arrangements
'Work Your World' Program encouraging employees to work from anywhere Publicis Groupe has an office for up to 6 weeks a year (based upon eligibility)
Business Resource Groups that support multiple affinities and alliances

The benefits offerings listed are available to eligible U.S. Based employees, are reviewed on an annual basis, and are governed by the terms of the applicable plan documents.

Compensation Range: USD $149,340.00 - USD $239,148.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. This role may also be eligible for bonus or incentive compensation. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 1/1/2028.