Sr. Technical Product Owner, AI & ML Product

 The AI and Machine Learning team at Lucid is on the mission to design, develop, and deploy AI solutions to help make safe and sustainable products and services on par with Lucid’s Luxury brand. Data generated by electric vehicles is rich and diverse with a lot of potential to create new data products. This opportunity involves creating end-to-end AI solutions from design and development to delivery of data-driven services and products utilizing AI, big data, cloud, and edge computing. We are currently seeking highly motivated, and talented technical product owners to support our mission.


The Role:

• Work closely with core AI team on developing new data-driven AI/ML product roadmap.
• Strategize product ideation, technical design and execution steps.
• Lead the requirements gathering and prioritization process across all business stakeholders.
• Engage broadly with the organization to identify, prioritize, frame, and structure product strategy for various AI/ML projects.
• Incorporate data, research, and market analysis to inform product strategies and roadmaps.
• Lead and own product lifecycle from planning and product requirements to execution and continuous support.
• Drive iterative development cycle with scientists, engineers, designers, and other stakeholders.
• Keep effective communication with team members and stakeholders to ensure user and technical issues are promptly prioritized and resolved.

Qualifications:

• Advanced degree in Business, Computer Science, Statistics or related STEM field or bachelor’s degree in computer science with 5+ years of experience
• Experience as Product/Program management or leading software/data science teams
• Deep understanding of software development for machine-learning products
• Highly technical with good understanding of machine learning models
• Self-motivated and proactive, with demonstrated critical thinking capabilities
• Technical experience to weigh tradeoffs and to have in depth discussions with scientists and engineers on the nuances of complex AI systems.
• Experience in an Agile Environment; creating a feature spec, turning it into user stories, setting and tracking KPIs
• Experience with a programming language (preferably python/PySpark)
• Experience with AWS cloud environment
• Excellent communication and presentation skills
• Passionate towards data products and strong advocate of their impact

Nice to Haves:

• Experience as Product Manager/Owner for ML based SaaS, App design.
• Experience working as data scientist, software engineer or machine learning engineer is a huge plus
• Familiarity with Rest and GraphQL and other APIs and services.
• Relevant experience in EV, Automotive, Transportation, Telematics or IoT devices