Product Marketing Manager Jobs

About The Position

Requirements

• At least 5 years of digital product management experience, or equivalent demonstrated through work experience, training, military experience, or education.
• At least 3 years of experience leading digital products, experimentation platforms, personalization platforms, marketing technology solutions, or related enterprise capabilities.
• Strong understanding of experimentation and personalization platforms, including Adobe Target or comparable technologies.
• At least 2 years of experience with Artificial Intelligence, Generative AI, agentic solutions, or AI-enabled product capabilities.

Nice To Haves

• Demonstrated experience owning product strategy, roadmaps, backlogs, and measurable business outcomes.
• Experience partnering with engineering, architecture, data, analytics, and design teams to deliver complex platform capabilities.
• Experience as a Product Owner or Product Manager for an enterprise platform, AI-enabled capability, workflow product, experimentation platform, or marketing technology ecosystem.
• Strong understanding of product management disciplines, including discovery, strategy, roadmap development, backlog prioritization, agile delivery, and value realization.
• Working knowledge of Adobe Target, digital experimentation, A/B testing, personalization, analytics, and optimization practices.
• Familiarity with platform architecture, APIs, integrations, data flows, and enterprise technology ecosystems.
• Familiarity with Generative AI, large language models, AI agents, agent orchestration, and Responsible AI practices.
• Experience delivering platform-scale capabilities that support reuse, configurability, and multiple downstream consumers.
• Ability to evaluate technical trade-offs and partner effectively with engineering and architecture teams.
• Experience defining product KPIs, adoption strategies, and value realization frameworks.
• Proven ability to work cross-functionally in an agile delivery model.
• Experience operating in a regulated enterprise environment.
• Knowledge of Responsible AI and human-in-the-loop workflows.
• Exceptional problem-solving, communication, and stakeholder management skills.
• Ability to synthesize complex business, technical, operational, and AI concepts into clear recommendations and decisions.
• Demonstrated track record of influencing and collaborating effectively at all levels.
• Willingness to work from one of the stated locations on a hybrid schedule.

Responsibilities

• Own the vision, strategy, roadmap, backlog, delivery priorities, adoption, and outcomes for the Experience Optimization Agent.
• Prioritize investments and capabilities that deliver measurable value for marketers and the business.
• Define product requirements and drive execution from discovery through delivery and adoption.
• Track product performance and improve outcomes based on user feedback and data.
• Define how AI-powered recommendations, automation, and agent capabilities integrate into experimentation workflows.
• Partner with technology, architecture, data, and AI teams to deliver scalable, reusable platform capabilities.
• Balance user needs, business value, technical feasibility, and risk in product decisions.
• Shape the long-term evolution of the Experience Optimization Agent within the Future Autonomous Marketing ecosystem.
• Deliver capabilities that simplify the creation, configuration, and optimization of experimentation and personalization activities.
• Enable guided workflows, intelligent recommendations, and best practices to improve experimentation quality and efficiency.
• Drive improvements in customer engagement, conversion, and marketing effectiveness.
• Promote scalable and consistent experimentation practices across teams.
• Partner across marketing, digital, analytics, technology, operations, and risk teams to deliver business outcomes.
• Align stakeholders on priorities, roadmap decisions, and success measures.
• Communicate product strategy, progress, and impact to senior leadership.
• Influence decisions and drive alignment across multiple teams and functions.
• Ensure product capabilities align with enterprise governance, compliance, security, privacy, and Responsible AI standards.
• Partner with Risk, Legal, Compliance, and Technology Controls teams to enable safe and responsible innovation.
• Embed appropriate controls, transparency, and human oversight into AI-enabled capabilities.

Benefits

• Health benefits
• 401(k) Plan
• Paid time off
• Disability benefits
• Life insurance, critical illness insurance, and accident insurance
• Parental leave
• Critical caregiving leave
• Discounts and savings
• Commuter benefits
• Tuition reimbursement
• Scholarships for dependent children
• Adoption reimbursement
• Employees may be eligible for incentive opportunities.