Principal Technical Program Manager - Voice AI

Company Overview At Motorola Solutions, we believe that everything starts with our people. We’re a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that’s critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future. Department Overview Motorola Solutions' innovations, products, and services play essential roles in people's lives. Our end-to-end suite of software solutions helps customers manage emergency communications, process video and evidence, and leverage cutting-edge AI-driven analytics for security and operational insights. We are industry leaders in video security and analytics, with solutions deployed in more than 120 countries across diverse environments such as school campuses, transportation systems, healthcare centers, public venues, critical infrastructure, prisons, factories, casinos, airports, financial institutions, government facilities, and retailers. Our AI-powered security solutions integrate advanced video analytics, machine learning, and embedded intelligence to enable proactive threat detection, enhanced situational awareness, and automated decision-making. Job Description Reporting to the VP of AI for Motorola Solutions, the Principal Technical Program Manager- Voice AI will be a critical, high-impact leader who thrives on turning highly ambiguous concepts into enterprise-scale AI products and solutions. They will be responsible for driving the strategy and measurable success of our core Artificial Intelligence efforts. This role is pivotal in managing the lifecycle and adoption of central AI models for speech and language understanding (ASR, TTS, translation, LLMs and others) and the foundational AI infrastructure built by our organization and consumed by downstream product teams for their features. This includes building enterprise-scale cloud and edge AI platforms, ensuring that our AI investments translate into quantifiable, improved customer outcomes. Key Responsibilities The Principal TPM of Voice AI will own the strategy, definition, and execution of programs across the following core areas: End-to-End AI Feature Delivery: Drive and coordinate efforts across the central AI organization and all dependent product teams to ensure the seamless, end-to-end delivery of AI features in the area of Voice AI such as building voice and language understanding based models and services and agents for products that demonstrably deliver value for our end customers. AI Impact Tracker & Baseline: Work across various product teams to define and implement ways to establish and measure a systemic link AI model performance and customer outcomes. This includes baselining current customer impact and owning the program to drive measurable, continuous improvement in AI effectiveness. AI for Developer Practices: Drive strategic programs to integrate AI/ML into our internal software development lifecycle, tracking adoption, evangelizing best practices, and reporting on the impact of these tools on engineering velocity and quality. Organizational Performance Management: Design, implement, and maintain a high-value, executive-facing dashboard that tracks all key AI impact metrics, development efficiency metrics, and overall organizational goals. Managing the data fidelity and reporting accuracy is a core responsibility. Cross-Functional Alignment & Impact Communication: Own the organizational mechanism for driving transparency and alignment with partner product teams. This includes regularly presenting the status of core AI metrics, communicating strategic research initiatives to move those metrics, tracking progress, and quantifying the actual impact delivered to stakeholders and customers. Emergent Strategic Initiatives: Provide immediate program management and definition for critical projects. This is a dynamic responsibility that may involve: Bringing initial definition to highly ambiguous product concepts. Conducting early-stage customer/partner discovery. Ensuring these initiatives are properly prioritized, staffed, and smoothly transitioned to a dedicated Product Manager (PdM) once scoped. Qualifications & Experience 10+ years of technical program management experience, with significant time spent leading complex, cross-functional programs in AI/ML research and platforms. Technical Acumen: Deep understanding of AI and Machine learning, preferably speech and models and LLMs, Machine Learning lifecycle (MLOps), data platforms, and the challenges of building and deploying central, reusable AI infrastructure and models. A background in computer vision and/or voice technologies is a significant plus.. Ability to engage in technical discussions with engineering teams, understand key concepts and provide guidance and support Metrics Expertise: Proven experience defining and implementing metrics frameworks (KPIs, OKRs) to measure the success of core technology platforms and drive organizational change and accountability. Strong analytical skills, with experience working with AI performance metrics (e.g. Precision/Recall), real-time video processing, and inference optimization. Leadership: Demonstrated ability to operate at a Principal level, influence senior leaders across organizations, drive consensus, and communicate complex technical and strategic concepts clearly and concisely. Excellent oral and written communication skills, with the ability to present ideas, roadmap elements, and business cases to both technical and non-technical stakeholders. Customer-focused with a track record of building strong relationships and understanding customer needs Domain Knowledge: Experience in public safety, security-focused software (e.g., video security, evidence management), mission-critical systems, or emergency communications is a plus. Pathfinding: Experience bringing initial definition to "highly ambiguous" product concepts and conducting early-stage discovery for emergent initiatives. Target Base Salary Range: 180,000 - 220,000 USD Consistent with Motorola Solutions values and applicable law, we provide the following information to promote pay transparency and equity. Pay within this range varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate. Note: Candidates must reside in a US state within the Eastern Time Zone (ET). #LI-MP2 #LI-REMOTE Basic Requirements 10+ years of technical program management experience AND 3 + years of experience of hands on work as an individual contributor building models, ML pipelines or developing core speech algorithms or systems in speech or other domains or working as a software engineer in a data oriented product. AND 3+ years of hands-on experience as an individual contributor in machine learning modeling, production ML pipelines, speech processing algorithms, or software engineering for data-oriented products. Travel Requirements Under 10% Relocation Provided None Position Type Experienced Referral Payment Plan Yes Our U.S. Benefits include: Incentive Bonus Plans Medical, Dental, Vision benefits 401K with Company Match 10 Paid Holidays Generous Paid Time Off Packages Employee Stock Purchase Plan Paid Parental & Family Leave and more! EEO Statement Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic. We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world.