Head of AI Engineering

Owlet is changing the world of parenting with meaningful products that truly make a difference for millions around the world. Owlet has helped more than a million parents keep their children safe, while bringing joy and sleep to the parenting journey. We believe every parent deserves the peace of mind that comes with a better understanding of their baby’s needs.

Learn more about our amazing mission at https://owletcare.com/pages/why-owlet

SUMMARY:

We view AI as a transformative force in supporting parents throughout their parenting journey. Our focus extends beyond mere monitoring to encompass the delivery of predictive, personalized, and proactive insights, including valuable guidance on a child's developmental trajectory. This strategic role is pivotal in shaping Owlet's future, leveraging AI not only to enhance our existing products but also to significantly improve the efficiency and innovation of our software development and deployment processes.

This represents a significant opportunity for a visionary and technically brilliant AI leader to establish and deploy our next generation of AI-powered solutions. You will lead the integration of cutting-edge AI and Machine Learning across all of Owlet's products, while enhancing our SDLC.

Your work will directly help make millions of families around the world feel safer, more informed, and incredibly reassured.

Responsibilities:

1. AI Product Innovation & Development

• You'll lead the full lifecycle of AI and Machine Learning solutions for our core products like the Dream Sock, Owlet Cameras, and our subscription offerings.
• Figure out the most impactful ways to use AI, design scalable solutions, and make sure they get built right.
• A big part of your role will be diving deep into Generative AI. You'll explore and implement applications to upgrade the user experience.
• You will enhance predictive and personalized insights derived from our rich product data. This involves leveraging advanced ML algorithms to convert comprehensive data into actionable, anticipatory insights for parents. 

2. Strategic Leadership & Cross-Functional Collaboration

• You'll craft a clear, actionable AI strategy that aligns with Owlet's business goals, product roadmap, and the relevant regulations. 
• Communicate this strategy effectively to everyone, from our executive team to our engineers and external partners.
• Work hand-in-hand with Product Management to define new AI-driven features, partner with Engineering for smooth integration, and team up with Quality Assurance to set up rigorous testing for all our AI systems.
• Be a hands-on leader, actively contributing to the technical implementation and ensuring successful delivery of AI solutions in close partnership with engineering, product, and data teams.
• Be a strong advocate for Ethical AI and Responsible Innovation. You'll ensure all our AI initiatives follow the highest standards for data privacy, security, transparency, and ethics. You'll help us build a culture of responsible AI development and deployment across the company.

3. AI for SDLC Enhancement & MLOps

• You'll set up robust MLOps (Machine Learning Operations) pipelines on Google Cloud. This means making sure our ML models are continuously integrated, delivered, deployed, monitored, and retrained.
• Automate model versioning, rigorous testing, seamless deployment, and smart rollback strategies.
• Be the champion for using AI/ML tools and techniques to improve our software development lifecycle. This includes things like automating test case generation, intelligently prioritizing bugs, and even predicting when our software systems might need maintenance.
• You'll leverage existing tools across the entire SDLC for development, testing, deployment, and application management.

4. Google Cloud AI Platform Leadership

• You'll define and evolve Owlet's AI infrastructure strategy, making sure we're getting the most out of Google Cloud's AI/ML services for everything from data intake to model training, inference, and scalable deployment while embracing open source technologies.
• Deliver architectural solutions that are secure, cost-effective, and highly performant.
• Maximize the value we get from Google Cloud's specialized AI/ML offerings, including Vertex AI (for custom model training and foundation models like Gemini), BigQuery ML (for in-database ML and generative AI), and Google Kubernetes Engine (GKE) for super-efficient model inference, especially with GPUs and TPUs.