AI Backend Team Lead

Welcome to Nanit, the high-growth baby tech company that is changing the way parents view their babies' wellness through the world's most advanced baby monitor and parenting products. In 2016, the Nanit baby monitor revolutionized the industry with computer-vision and machine-learning capabilities that helped parents understand their baby's sleep patterns and allowed them to achieve better sleep quality. Now, the company has become the leader in the connected parenting space, with an incredible customer base of highly engaged parents who look to Nanit as a source of information and expertise on their parenting journey.

As an AI Backend Team Leader at Nanit, you will take ownership of our AI infrastructure and backend engineering efforts, bridging production-grade software and cutting-edge machine learning to power features that impact hundreds of thousands of families every day. This role is for someone who thrives at the intersection of systems design and AI, leads a team of talented engineers, and is energized by the challenge of bringing Deep Learning and Computer Vision from research to production at scale.

What You'll Be Doing:

• Lead AI Backend Engineering: Own the roadmap and execution for a team of backend and AI-infrastructure/MLOps engineers, setting technical direction, removing blockers, holding the bar on delivery quality, and driving technical research initiatives and scale-up projects within the AI Group
• Build Production AI Systems: Design and implement production-grade, end-to-end AI solutions, including agentic workflows and multi-step inference pipelines, that integrate Deep Learning models and Computer Vision algorithms into real Nanit features. Own the offline experimentation and validation layer, including POC environments and the tooling that lets the Algo team move from research to production confidently.
• Architect Data Platforms: Drive the design and implementation of scalable data platforms and pipelines that power Nanit's AI capabilities reliably, efficiently, and with a close eye on inference costs, compute, and storage at scale.
• Cross-functional Collaboration: Work closely with the Algorithms and Data teams to tackle cutting-edge, real-world problems, translating research into shippable, maintainable systems.
• Elevate Engineering Standards: Champion Software Engineering and System Design best practices across the group, introducing the right methodologies, tooling, and culture of craft.
  
  

• 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:
• Production Systems and DevOps: Proven experience building high-scale, production-grade systems on a cloud platform (AWS preferred), with solid command of DevOps practices including CI/CD, containerization, and observability as applied to AI workloads.
• Programming: Strong command of at least one programming language, with Python or Rust being a strong advantage.
• AI/ML Systems: Solid understanding of the ML model lifecycle, including training, evaluation, deployment, and monitoring, with enough hands-on exposure to make good infrastructure decisions around it. Experience with TensorFlow, PyTorch, or Computer Vision concepts is an 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:
• Engineering Quality: You hold a high bar for correctness, reliability, and maintainability, and you treat quality as a first-class engineering concern, not something retrofitted at the end of a sprint.
• Team Builder: A people-first approach to leadership. You coach, you unblock, and you build psychological safety alongside technical excellence.
• Engineering Judgment: A strong ability to self-learn, cut through ambiguity, and land well-reasoned technical decisions under pressure.
  

• An opportunity to define the AI engineering foundation at a company where the product genuinely changes lives. We're woven into some of the most meaningful moments in a family's first years, and your impact will be visible in what we ship.
• Real investment in your growth: we treat every engineer as a long-term bet, and we put resources behind that.
• A culture built on continuous learning, innovation, and intellectual honesty, where strong opinions are welcomed and rigorously tested.
  
  

• Nanit products can actually change lives. We're an integral part of the lives of new parents, making an exciting but stressful time a little more manageable.
• We are international and believe our diversity makes our culture, products, and brand even better.
• We invest in our people. We consider each employee a long-term investment and we see value in continuously helping them to advance in their lives and careers
• Nanit is a fun, collaborative group of hard workers! We believe in an appropriate work-life balance and offer a flexible, open environment.
• We are at the forefront of innovation, creating products and services that have never been seen before.