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What you’ll do
Lead a team of software engineers to build a platform for AI prototype products, focusing on speed and stability.
Drive collaboration with AI research, Catalyst, product, and design teams to translate prototypes into production
Create team practices that prioritize rapid iteration, quality standards, and customer outcomes
Foster a high-performing, autonomous team culture through coaching, mentorship, and strong technical direction
Manage timelines, unblock delivery, and ensure work aligns with cross-functional product goals
Champion DevOps, CI/CD, and security practices for robust AI delivery workflows
Help define and scale internal tooling and frameworks to accelerate the AI productization lifecycle
What you’ll bring
6+ years of software engineering experience, including 4+ years in engineering leadership roles
Proven track record of shipping production systems at scale
Strong background in backend development (Python, Go, or similar) and cloud platforms (AWS, GCP, Azure)
Ability to lead in ambiguous, fast-changing environments and prioritize impact over polish
Excellent communication skills and cross-functional alignment instincts
A builder mindset—excited by 0→1 delivery, creative problem solving, and rapid experimentation
Nice to have
Experience launching AI-driven products or internal platforms from prototype to production
Hands-on experience with LLMs, generative AI, or machine learning-powered applications
Familiarity with tools like LangChain, vector databases (Pinecone, Weaviate), or RLHF pipelines
Background in AI systems observability, evaluation frameworks, or in-product feedback loops
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