Advanced Product Manager (AI)

Zebra Technologies•Washington, NV
•$122,800 - $184,200•Remote

About The Position

The Advanced Product Manager shapes Zebra’s product offerings to meet market demands and improve customer satisfaction. The role contributes to product vision, innovation, and business growth through product lifecycle management, competitive market analysis, and cross-functional collaboration. It serves as a bridge between technical teams and business stakeholders and advocates for customer needs throughout product development. The position heavily uses artificial intelligence, including generative AI, large language models, predictive analytics, AI/ML analytical models, and AI agents, to accelerate market research, analyze customer feedback and sentiment, identify feature opportunities, draft product documentation, groom backlogs, forecast feature impact, and monitor competitors in the Task Management space. The role owns assigned product lines through the product lifecycle, manages product offerings through the New Product Introduction process, supports demand generation and launches, and provides training to stakeholders. It also mentors junior team members and works with development teams to oversee product development and beta plans. The position is remote within the United States. The annual pay range is $122,800 to $184,200, with an opportunity for a performance-based annual cash incentive targeted at 12% of base pay. Zebra describes its Total Rewards program as including healthcare, wellness, inclusion networks, continued learning and development, community service days, insurance, parental leave, an employee assistance program, and paid time off, depending on country. The company also describes workplace flexibility offerings including hybrid work, adaptable hours, Summer Flex Fridays, Focus Fridays, and an annual companywide well-being day.

Requirements

  • Bachelor’s degree required.
  • At least 8 years of experience.
  • Knowledge and understanding of software applications relevant to the products, markets, and use cases they enable.
  • Experience with AI-driven tools, such as machine-learning-based diagnostic systems, virtual assistants, or predictive maintenance solutions, to improve customer support operations.
  • Proficiency with Microsoft Excel, PowerPoint, JIRA, and Confluence.
  • Experience with software development best practices, including Scaled Agile, TDD, and Continuous Integration, and a track record of applying these methodologies.

Nice To Haves

  • Master’s degree preferred.
  • Full product management lifecycle experience.
  • Strong problem-solving skills and ability to make data-driven decisions.
  • Familiarity with Agile methodologies and tools, including Scrum and SAFe frameworks.
  • Excellent communication and presentation skills, including the ability to explain complex ideas to technical and non-technical audiences.
  • Strong business acumen and customer orientation, with ability to balance customer needs and business goals.
  • Advanced knowledge of market dynamics and competitive landscapes in relevant categories.
  • Ability to lead cross-functional teams across global locations and time zones, fostering collaboration and successful outcomes.
  • Exceptional strategic leadership, critical thinking, and decision-making skills.
  • Strong interpersonal skills and ability to build relationships and influence stakeholders.
  • Ability to use AI/ML analytical models to simulate roadmap scenarios, forecast feature impact, and prioritize the product backlog based on ROI and user value metrics.

Responsibilities

  • Develop a deep understanding of Zebra products, the competitive landscape, distribution channels, and customer needs.
  • Advocate for the voice of the customer and integrate customer feedback into product development.
  • Bridge technical teams and business stakeholders to support communication and alignment.
  • Use AI tools to aggregate and analyze customer feedback, support tickets, and market trends to identify pain points and feature opportunities.
  • Use generative AI to draft product requirements documents, user stories, acceptance criteria, and release notes.
  • Use AI/ML analytical models to simulate roadmap scenarios, forecast feature impact, and prioritize the product backlog based on ROI and user value metrics.
  • Deploy AI agents to monitor the competitive landscape in the Task Management space and summarize competitor updates and market shifts.
  • Define and execute demand generation initiatives with regional product and marketing teams to drive product revenue plans.
  • Own product lifecycle management for assigned product lines, including tactical execution, customer requirements, end-of-life plans, and inventory objectives.
  • Define and manage product offerings through the New Product Introduction process.
  • Identify and leverage emerging technologies to drive innovation and competitive differentiation.
  • Mentor and guide junior team members, sharing best practices and industry knowledge.
  • Provide recommendations that influence distribution strategy to meet market needs.
  • Support product launches by communicating a comprehensive understanding of the value proposition.
  • Deliver product training to sales, sales engineers, technical support, and other internal and external stakeholders.
  • Work with development teams and other stakeholders to oversee new product development and validate that development is on spec.
  • Identify beta site targets and draft and implement beta plans.

Benefits

  • Performance-based annual cash incentive targeted at 12% of base pay.
  • Healthcare and traditional insurance offerings, depending on country.
  • Wellness offerings.
  • Inclusion networks.
  • Continued learning and development offerings.
  • Community service days.
  • Parental leave, depending on country.
  • Employee assistance program, depending on country.
  • Paid time off, depending on country.
  • Flexible work arrangements, including hybrid work and adaptable hours.
  • Summer Flex Fridays and Focus Fridays.
  • Annual companywide well-being day.
  • Some roles may be eligible for long-term incentive equity awards.
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