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# Software Project Manager - AI Wearables

- **Company:** Lenovo
- **Location:** Chicago, IL, United States
- **Experience:** Expert
- **Salary:** $152,000.0 - $233,105.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Android Software Development, Software Applications, Machine Learning, Software Product Management, Software Engineering, Software Project Management, Information Technology, Wearables
- **Published:** October 31, 2026
- **Apply:** https://www.careerbuilder.com/job-details/software-project-manager-ai-wearables-chicago-il--03f457dd-20c1-405a-8294-5d0899d37248

## About the Role

* Bachelor's degree in Computer Science, Engineering, or related field
 * 5+ years of experience
 * Experience in software product management, preferably in mobile, wearables, or AI-driven products
 * Strong understanding of Android platform and software development lifecycle
 * Experience working with engineering teams on technical product delivery
 * Proven ability to translate business needs into technical product requirements

Preferred Qualifications

 * Experience with AI/ML products or on-device AI technologies
 * Background in consumer electronics, mobile, or wearable ecosystems
 * Experience launching global products across multiple markets
 * Strong analytical background with data-driven decision-making
 * Familiarity with AI model lifecycle concepts (training, deployment, optimization)

Key Competencies

 * Strategic thinking and product vision
 * Strong ownership and accountability for outcomes
 * Cross-functional leadership and stakeholder influence
 * Customer-first mindset
 * Innovation and problem-solving orientation
 * Ability to operate in fast-paced, highly collaborative environments

Impact of the Role

 * Drive next-generation AI experiences across Motorola's mobile and wearable ecosystem
 * Shape how AI enhances everyday user interactions
 * Contribute to Motorola's leadership in AI-powered consumer devices

## Description

As a Software Product Manager (SPM) on the AIW team, you will define, drive, and deliver software products that leverage on-device AI and wearable innovation. You will own the end-to-end product lifecycle, partnering closely with engineering, design, data science, and business stakeholders to transform AI-driven concepts into impactful customer experiences across Motorola devices., Product Strategy & Vision

 * Define product vision, strategy, and roadmap for AI-powered wearable and mobile experiences
 * Translate emerging AI capabilities (e.g., on-device AI, contextual intelligence) into differentiated user value
 * Identify market opportunities and drive competitive positioning aligned to Motorola's software philosophy

Execution & Delivery

 * Own end-to-end product lifecycle from ideation through launch and post-launch optimization
 * Partner with engineering teams to translate requirements into deliverable features and releases
 * Define product requirements, user stories, success metrics, and delivery timelines
 * Drive prioritization decisions balancing user impact, technical feasibility, and business goals

Cross-Functional Leadership

 * Collaborate with:
 * Software engineering (Android, AI frameworks)
 * UX/design
 * Data science/AI teams
 * Marketing and business stakeholders
 * Lead cross-functional alignment and decision-making across global teams
 * Ensure strong inter-group coordination and execution discipline

AI & Innovation Focus

 * Drive adoption of on-device AI technologies to enable real-time, efficient user experiences
 * Partner with engineering to integrate AI models, frameworks, and features into Motorola devices
 * Identify opportunities to differentiate through AI in wearables, smartphones, and emerging form factors

Customer & Market Insights

 * Gather and synthesize customer insights, usage data, and feedback
 * Conduct competitive analysis and benchmark Motorola experiences against industry leaders
 * Continuously improve product performance and user satisfaction

Performance & Optimization

 * Define and track KPIs (adoption, engagement, retention, feature success)
 * Drive iterative improvements post-launch through data and experimentation
 * Ensure continuous improvement of software experiences and timely updates