Nanit lets parents track the health, wellness and development of their baby—from sleep and breathing to growth—delivering personalized insights and advice. Backed by GV.
About the role
Here, your work directly impacts millions of families. Our team of scientists, engineers, and parents is small but mighty - we share a mission to make early childhood easier, healthier, and more connected. If you want to work on technology that genuinely matters, join us.
What they're looking for
- Professional Experience: At least 5 years of hands-on Software Engineering experience, with a minimum of 2 years in a team lead or managerial role
- Technical Proficiency:
- Programming: Strong command of at least one programming language, with Python or Rust being a strong advantage
- AI-Augmented Development: Hands-on experience integrating AI coding tools into engineering workflows, with a genuine interest in expanding their use across the team
- Data Engineering: Hands-on experience with data pipelines and big data infrastructure
- Leadership and Mindset:
More about this role
Nanit is moving families beyond overwhelm by transforming how parents understand their baby's early years. We combine advanced AI, real-world data from billions of sleep hours, and clinical expertise to deliver the clarity and confidence every parent deserves. Trusted by over one million families and backed by $125M in funding, we're building an entirely new category: predictive parenting intelligence.
Here, your work directly impacts millions of families. Our team of scientists, engineers, and parents is small but mighty - we share a mission to make early childhood easier, healthier, and more connected. If you want to work on technology that genuinely matters, join us.
As an MLOps Team Leader at Nanit, you will own our AI infrastructure and backend engineering efforts, leading a team at the intersection of systems design and machine learning to build the engineering systems that turn Deep Learning and Computer Vision research into reliable, scalable production features.
- Lead MLOps Engineering: Own the roadmap and execution for a team of backend and AI infrastructure/MLOps engineers, setting technical direction, removing blockers, and holding the bar on delivery quality.
- Build...
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