Gradient AI - Software Engineering Manager, Full Stack
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Requirements
• 7+ years of software architecture experience in an enterprise or commercial SaaS environment • 5+ years managing and growing software engineering teams, ideally in a fully remote setting • Hands-on background in full-stack development with Python and React + TypeScript • Strong command of AWS cloud infrastructure (e.g. ECS/EKS, Lambda, RDS, S3, IAM) • Experience with modern CI/CD pipelines, containerization (Docker/Kubernetes), and DevOps practices • Proven track record of improving cross-team collaboration and software delivery processes • Experience as a scrum master for a cross-discipline team • Experience managing teams across multiple engineering disciplines, including both software and data engineering. • Experience transitioning from client-driven development priorities to product roadmap priorities • Experience working in Insurtech or on AI/ML products • Familiarity with ML model deployment and ML Ops concepts— enough to partner effectively with data science teams
Responsibilities
• Grow, build, and lead a world-class full-stack engineering team delivering SaaS products at scale • Drive high-level architecture decisions and own their execution across the stack • Partner with data engineering and data science teams to design and ship integrated MLOps workflows and AI-powered product features • Champion engineering best practices, including code quality, CI/CD, observability, and system reliability, across the organization
Benefits
• A fun, team-oriented startup culture. • Generous stock options - we all get to own a piece of what we’re building. • Unlimited vacation days. • Flexible schedule that supports working from home. • Full benefits package includes medical, dental, vision, 401k, paid paternal leave, and more. • Ample opportunities to learn and take on new responsibilities.
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