Back to all jobs
nanit logo

AI Backend Team Lead

nanit
Ramat Gan (Hybrid)Hybrid1w ago
Seniority
Lead

About the role

<p><span style="font-size: 12pt;">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.</span></p> <p><span style="font-size: 12pt;">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.</span></p> <p><span style="font-size: 12pt;">As an AI Backend 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.</span></p> <p><span style="font-size: 12pt;"><strong>What You’ll Be Doing:</strong></span></p> <ul> <li style="font-size: 12pt;"><span style="font-size: 12pt;"><strong>&nbsp;Lead AI Backend Engineering:</strong> Own the roadmap and execution for a team of backend and AIinfrastructure/MLOps engineers, setting technical direction, removing blockers, and holding the bar on delivery quality.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;"><strong>Build Production AI Systems:</strong> Design and implement production-grade, end-to-end AI solutions, including agentic workflows, that integrate Deep Learning models and Computer Vision algorithms into real Nanit features. Own the offline experimentation and validation layer, including POC environments that let the Algo team move from research to production confidently.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;"><strong>Architect Data Platforms:</strong> Drive the design and implementation of scalable data platforms and pipelines that power Nanit's AI capabilities reliably and with an eye on cost and scale.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;"><strong>Cross-functional Collaboration:</strong> Work closely with the Algorithms and Data teams to tackle complex, real-world problems, translating research into shippable, maintainable systems.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;"><strong>Elevate Engineering Standards:</strong> Champion Software Engineering and System Design best practices across the group, introducing the right methodologies, tooling, and culture of craft.</span></li> </ul> <p><span style="font-size: 12pt;"><strong>Who You Are:</strong></span></p> <ul> <li style="font-size: 12pt;"><span style="font-size: 12pt;"><strong>&nbsp;Professional Experience:</strong> At least 5 years of hands-on Software Engineering experience, with a minimum of 2 years in a team lead or managerial role.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;"><strong>Technical Proficiency:</strong></span> <ul> <li style="font-size: 12pt;"><span style="font-size: 12pt;"><strong>Production Systems and DevOps:</strong> 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.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;"><strong>&nbsp;Programming:</strong> Strong command of at least one programming language, with Python or Rust being a strong advantage.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;"><strong>&nbsp;AI/ML Systems:</strong> 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.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;"><strong>&nbsp;AI-Augmented Development:</strong> Hands-on experience integrating AI coding tools into engineering workflows, with a genuine interest in expanding their use across the team.</span></li> </ul> </li> <li style="font-size: 12pt;"><span style="font-size: 12pt;"><strong>Data Engineering:</strong> Hands-on experience with data pipelines and big data infrastructure.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;"><strong>Leadership and Mindset:</strong></span> <ul> <li style="font-size: 12pt;"><span style="font-size: 12pt;"><strong>Engineering Quality:</strong> 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.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;"><strong>&nbsp;Team Builder:</strong> A people-first approach to leadership. You coach, you unblock, and you build psychological safety alongside technical excellence.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;"><strong>&nbsp;Engineering Judgment:</strong> A strong ability to self-learn, cut through ambiguity, and land wellreasoned technical decisions under pressure.</span></li> </ul> </li> </ul> <p><span style="font-size: 12pt;"><strong>What We Offer:</strong></span></p> <ul> <li style="font-size: 12pt;"><span style="font-size: 12pt;">An opportunity to define the AI engineering foundation at a company where the product genuinely changes lives, and where your impact will be visible in what we ship.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">&nbsp;Real investment in your growth: we treat every engineer as a long-term bet, and we put resources behind that.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">&nbsp;A culture built on continuous learning, innovation, and intellectual honesty.</span></li> </ul> <p><span style="font-size: 12pt;">We're looking for builders and problem solvers who want to do the most interesting work of their careers. Join us as <strong>AI Backend Team Leader</strong> and help shape the systems that power the future of connected parenting.</span></p> <p><span style="font-size: 12pt;"><strong>Why Nanit?</strong></span></p> <ul> <li style="font-size: 12pt;"><span style="font-size: 12pt;">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.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">We are international and believe our diversity makes our culture, products, and brand even better.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">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</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Nanit is a fun, collaborative group of hard workers! We believe in an appropriate work-life balance and offer a flexible, open environment.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">We are at the forefront of innovation, creating products and services that have never been seen before.</span></li> </ul> <p><span style="font-size: 12pt;"><em>We are proud to be an equal-opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected class.</em></span></p> <p>&nbsp;</p> <p><span style="font-size: 12pt;"><em>#IL-Hybrid</em></span></p>

753,000+ hidden jobs like this

nanit and thousands of companies post here first — often days before LinkedIn or Indeed. Your first 5 applications are free; go Pro to apply without limits.

Everything Pro unlocks:

  • Unlimited applications — free stops at 5
  • Track every application in one place
  • Apply straight to the source, one click
  • Save & organize roles you love
  • Roles pulled from company boards before the big sites

Weekly

$9.99
$4.99/week

For an active search. Cancel anytime.

Most popular

Monthly

$24.99
$12.99/month

The smart pick. Save 35% vs weekly.

Lifetime

$99
$49.99once

Pay once. Every future feature, forever.