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Product Manager Personalization Jobs in Virginia

Photon

Product Owner | Onsite | Virginia

Norfolk, VA · On-site

Manage prioritization and sequencing of features in Agile environments, supporting sprint planning ... A/B testing, personalization engines, heat maps, and analytics platforms. Experience working in ...

Photon

Product Owner | Onsite | Virginia

Norfolk, VA

Manage prioritization and sequencing of features in Agile environments, supporting sprint planning ... A/B testing, personalization engines, heat maps, and analytics platforms. Experience working in ...

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Product Manager Personalization information

What does a product manager personalization do?

A Product Manager for Personalization is responsible for developing and optimizing products or features that deliver personalized experiences to users. They analyze user data and behavior to identify opportunities for customization, work closely with engineering and design teams to implement personalization strategies, and ensure these features align with business goals. Their role often involves prioritizing product enhancements, measuring the impact of personalization efforts, and staying updated on industry best practices. Ultimately, they aim to increase user engagement and satisfaction by making products more relevant to individual users.

What are the key skills and qualifications needed to thrive as a product manager personalization?

To thrive as a Product Manager Personalization, you need a strong background in product management, data analysis, and user experience design, often supported by a degree in business, computer science, or a related field. Familiarity with A/B testing platforms, analytics tools like Google Analytics or Mixpanel, and personalization engines is typically required. Exceptional communication, stakeholder management, and problem-solving skills help drive cross-functional collaboration and innovative solutions. These abilities are crucial for delivering personalized experiences that increase user engagement and achieve business goals.

How does a product manager personalization typically collaborate with data scientists and engineers to deliver personalized experiences?

As a Product Manager Personalization, you'll work closely with both data scientists and engineers throughout the product development lifecycle. You'll define personalization goals, prioritize features, and translate customer insights into actionable requirements. Regular meetings with data scientists help you understand model capabilities and limitations, while collaboration with engineers ensures technical feasibility and smooth implementation. Open communication and cross-functional teamwork are key to iterating quickly and delivering impactful personalized experiences for users.

What is the difference between Product Manager Personalization vs Product Manager Data Analytics?

AspectProduct Manager PersonalizationProduct Manager Data Analytics
Required SkillsUser segmentation, A/B testing, UX designData analysis, SQL, statistical methods
Work EnvironmentCross-functional teams focusing on user experienceData-driven decision making, analytics teams
Industry UsageTech, e-commerce, mediaFinance, tech, marketing

Product Manager Personalization and Product Manager Data Analytics both focus on data-driven product improvements. Personalization emphasizes tailoring user experiences through segmentation and testing, while Data Analytics centers on analyzing data to inform product decisions. Both roles require analytical skills but differ in their primary focus and methods.

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The top searched job categories for Product Manager Personalization jobs in Virginia are:

What cities in Virginia are hiring for Product Manager Personalization jobs?

Cities in Virginia with the most Product Manager Personalization job openings:

Product Manager Personalization jobs near you

Product Owner | Onsite | Virginia

Photon

Norfolk, VA • On-site

Full-time, Contractor

Medical, Dental, Vision, Retirement, PTO

Re-posted 25 days ago

Job description


Key Responsibilities:
Own product strategy and delivery for digital experiences driven by SEO, geo-personalization, A/B testing, behavioral analytics, and content performance.
Define MVP (Minimum Viable Product) and MRP (Minimum Remarkable Product) for key initiatives, ensuring alignment with business value, user needs, and delivery constraints.
Manage prioritization and sequencing of features in Agile environments, supporting sprint planning, PI planning, and backlog refinement.
Embed experimentation and optimization tools into the product lifecycle, including heat map analysis, multivariate testing, and clickstream analytics.
Collaborate cross-functionally with content teams, designers, engineers, marketers, and analysts to ensure product features are discoverable, personalized, and measurable.
Use AI-enabled tools to support the rapid translation of business requirements into acceptance criteria, visual prototypes, and imperative test cases.
Communicate product strategy, feature rationale, trade-offs, and status clearly to stakeholders across the organization.
Required Qualifications:
8+ years of experience as a Product Manager or equivalent role in digital product delivery, with hands-on experience in content- and marketing-driven web platforms.
Proven track record of managing eMarketing features and tools such as SEO optimization, geo-targeted content, A/B testing, personalization engines, heat maps, and analytics platforms.
Experience working in Agile frameworks with comfort leading sprint ceremonies, backlog management, and release planning.
Strong knowledge of content delivery systems, including structured content, localization, metadata strategy, and editorial workflows.
Familiarity with AI/LLM-powered tools for rapid prototyping, user story refinement, and automated test case generation.
Excellent written and verbal communication skills with the ability to clearly articulate business value, feature scope, and implementation plans.
Preferred Qualifications:
Experience with headless CMS platforms or composable digital architecture.
Exposure to generative AI platforms (e.g., ChatGPT, Claude, Midjourney) as part of the product delivery process.
Background in performance marketing, conversion optimization, or growth product management.
Experience in industries such as retail, travel, hospitality, or media where content and personalization are central to the customer experience.
Compensation, Benefits and Duration
Minimum Compensation: USD 52,000
Maximum Compensation: USD 182,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post

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