Vice President, Product Management

Who We Are

Marketbridge partners with leading B2B brands to create unified Go-to-Market®systems that connectstrategy, AI, creativity,activation and measurement. With a team of 350+ across North America and Europe,Marketbridgesupports clients worldwide, ranging from Fortune 1000 enterprises to venture-backed, high-growth companies across technology, financial services, healthcare, industrial and consumer sectors. For more information, please visit  and follow

We are building an AI-powered operating system that is driving innovation across B2B Marketing, and we are looking for a VP of Product Management to lead it. This is not a role for someone who wants to write requirements and hand them to a team six weeks before a launch. This is a role for a product leader who has already felt the shift happening in this discipline and wants to be at the front of it.

Product management has changed. The gap between an idea and a working prototype used to be measured in sprints. Now it can be measured inanafternoon.

Productvisionandinnovationisrequiredin order todesign, build, and deploy at the pace the current lifecycle demands, and we expect our product leaders to move at that pacewithpurposewithus.

If you have spent the last stretch of your career learning how to use AI to compress the distance between insight and shipped product, this is where that skill gets to run.

You willdrive theproductdirection for the company-wide operating system that sits at the center of everything we do, while shaping what we build across three fronts at once: the data layer that feeds our intelligence, the skills and agents that do the work, and the solutions that support our broader agency services. You will own the roadmap, priorities, and outcomes.

• Direction.Drivethe product vision and roadmap for the company-wide operating system and sequence the priorities that everything else depends on.

• Breadth.Lead product across three fronts at once: the dataandanalyticslayer, the skills,agentandcontextlayer,agenticoperationsandthe solutions supporting our agency services.

• Hands-on delivery.Writeandmanageproduct requirementsandspecs, buildand manage prototyping,manageend-to-end testing,gatherandestablishground truths downstream work relies on.

• Pace.Movewithspeedand purpose the current lifecycle demands, compressing the distance between an idea and a shipped product.

• Governance.Establish the guardrails for howourOShandles data, security,evals,orchestration,transparency,user experience,responsible AI use, and evaluate the vendors and platforms it depends on for scalability and interoperability.

• Collaboration.Build the connective tissue across strategy, analytics, engineering, andagencyteamsso the platform serves the whole businessandourbroad range ofclients.

You will do the work, not just direct it. The line between product manager, project manager, and builder has blurred here, and we like it that way. If the phrase vibe coding makes you lean in, you will feel at home in this role. The engineering team supporting you can move  you work with stakeholders, you can prototype ideas that the team can translate into features or functionality that are quickly deployed into production.

We run onPRDtoprototypetospec-driven development, and we move fast because our tooling lets us. Claude and OpenAI are part of the daily workflow,modernengineeringandtestingpracticessupportus.

Notion is where our thinking lives. Figma is where our product takes shape.

Mondayiswhere weplan.

Wehave a process that isrefined through building, and you will need to absorb it quickly andthen drivecontinuousimprovementacross it.

You have years of traditional product management experience, the kind that taught you how to find the real problem,pull through the solution or features thatneedstobedeveloped,sequencea roadmap, and ship things that matter. Then you made the transition. You learned toleverageAI across the full product development lifecycle to drive speed and value, and you can show us what that looks like in practice, not just in theory.

• Depth in traditional product management.Years of owning roadmaps, shipping products, and finding the real problem behind the request.

• A real transition to AI-native product work.Concrete evidence of using AI to accelerate the full product lifecycle, with results you can point to.

• Hands-on building ability.Comfort prototyping yourself, working spec-first, and moving from idea to working software fast.

• Fluency…