Sr. Product Manager - AI Systems
Listed on 2026-02-16
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IT/Tech
AI Engineer
* This is a full time opportunity based out of Austin, TX. This role will begin remotely and will transition to hybrid in late 2026
* This role is eligible for relocation; candidates who will relocate to Austin are urged to apply
* This role is not eligible for sponsorship
OverviewWe are looking for a Sr Product Manager with a background in AI and AI Implementation. We are a well-established, mission-driven organization and a leader in the safety-tech space that is backed by some of the largest PE firms in the world.
This individual willl lead the adoption, impact, and integration of AI across our organization. This person will be responsible for identifying and prioritizing high-potential AI use cases both existing and emerging by deeply understanding Bus Patrol’s operations and core processes. They will serve as the internal thought leader on AI trends and capabilities, educating teams on what’s possible and helping them envision how AI can enhance quality, speed, and labor productivity.
This includes conducting proactive value stream mapping to uncover opportunities for automation, efficiency gains, and better quality output.
This individual will also play a hands-on role in turning ideas into action by developing MVPs or leveraging low-code tools (e.g., N8n), and coordinating closely with technical partners to formally build and deploy solutions. They will be accountable for driving adoption of high-impact tools and tracking their results through a robust, evolving measurement framework. This role is central to embedding AI into the way we work, ensuring it becomes a sustainable, value-generating capability across the company.
ResponsibilitiesDefine and lead AI strategy across the organization
- Partner with senior leaders to define and execute company-wide AI operational transformation strategy;
Lead executive reviews of AI outcomes to inform strategy and investment decision - Develop and lead the execution of the overall AI Transformation roadmap for our company
- Spearhead the deployment and integration of advanced AI and machine learning capabilities across the company, embedding tools such as LLMs and generative AI into critical processes.
Identify and drive high-impact AI use cases
- Partner with business leaders across functions to surface, evaluate, and prioritize AI opportunities aligned with strategic goals
- Translate business challenges into scalable AI/ML solutions that drive revenue, efficiency, and customer engagement
- Focus on the highest-impact use cases by assessing feasibility, value potential, and strategic alignment
- Lead cross-functional teams to scope, validate, and launch AI solutions with measurable ROI
- Use rapid experimentation through MVPs or low-code prototypes to quickly test, learn, and scale successful use cases
- Collaborate closely with our AI Solutions Architecst to design, deploy, and operationalize AI solutions enterprise-wide
- Maintain an enterprise AI use case portfolio, including business case, feasibility, and implementation roadmap
Develop AI performance and accountability models
- Design and implement frameworks and KPIs to measure business value from AI initiatives
- Define the AI Governance Framework and lead the Governance / Enablement working group to enable AI adoption across our company safely, with minimal friction & highest impact
- Create dashboards and reporting structures for AI performance monitoring
- Partner with finance, legal compliance, and data teams to align AI measurement with enterprise standards
Champion AI change management and cultural adoption
- Define the AI Cultural framework and champion an AI mindset
- Drive change management and adoption of deployed AI solutions
- Create tailored education materials, quick-reference guides, and enablement content that resonate with leaders and their teams, ensuring clarity, relevance, and impact
- Deliver engaging presentations, demos, and coaching sessions to eadership and their staff, translating complex technology into business-relevant insights
- Set up and lead a network of cross departmental AI Champions to scale adoption across the organization
- Bachelor’s degree in computer science, Information Systems, Business Administration, or a related field—or equivalent practical experience
- 5+ years of experience in technology enablement, digital transformation, consulting or related field.
- Experience leading enterprise-wide transformations, and defining the strategy & deployment from scratch
- Experience partnering with business, product, marketing, customer service, and/or operations teams to deliver AI-powered solutions
- Experience leading automation, process reengineering, or digital innovation initiatives using AI or analytics.
- Strong understanding of AI/ML technologies, data architecture, and cloud platforms (e.g., Azure, AWS, GCP)
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