• Assist with AI engineering and automation initiatives • Build prototypes and proof-of-concepts using AI tools and APIs • Explore and evaluate emerging AI technologies • Assist with prompt engineering and workflow automation • Support LLM integrations and experimentation • Collaborate with Engineering, Product, and QA teams • Document technical findings, ideas, and implementation approaches • Support testing and improvement of AI-driven features • Stay updated on AI trends and share learnings with the team.

• Design and build machine learning models to support healthcare monitoring and data analysis • Develop AI solutions that ensure patient privacy while tracking behavioral patterns • Implement smart alert systems to assist healthcare professionals in timely decision-making • Create and maintain anomaly detection models for health-related data • Work closely with software engineering teams to integrate AI functionalities into applications • Ensure all AI systems adhere to healthcare data security and compliance standards • Continuously optimize models to enhance performance and accuracy • Stay up to date with and apply the latest AI advancements

• Build and lead a team of platform engineers, setting technical direction, conducting code reviews, and mentoring engineers as the team grows • Define and build the application-layer foundation for AI at Roofr — establishing the core integration patterns, agent architecture, and shared abstractions that product teams across the org will build on • Own the integration architecture strategy — making the foundational decisions on how Roofr's product connects to AI services and third-party systems, and setting the standard for how the rest of engineering builds with AI • Design and maintain our third-party integration layer, establishing scalable, reliable patterns for connecting Roofr to external services and APIs • Build the data pipelines that power our AI features — structured data feeds, embeddings, retrieval infrastructure, and more • Take strong ownership over platform reliability, performance, and developer experience — the teams building on top of you depend on it • Partner with product and engineering leadership to shape the AI roadmap and help the broader organization understand what's possible • Navigate a maturing codebase and help drive architectural consistency across domains with varying levels of maturity • Establish standards and best practices for how Roofr builds with AI — from SDK design to observability and reliability • Evaluate emerging models, frameworks, and tooling and make pragmatic, well-reasoned bets on adoption

• You'll manage and scale paid campaigns across Meta, TikTok, and Google — and help expand into newer channels like Reddit, Snapchat, and Quora. • Day to day that means setting up and optimizing campaigns, translating performance data into creative briefs, keeping reporting accurate and up to date, and flagging what's working and what isn't. • If you study ads while scrolling, save hooks that catch your eye, and naturally think about why certain creatives convert — this role was built for you.