Nanit

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 a **Backend Team Leader** at Nanit, you will lead a team of backend and MLOps engineers that owns the systems behind our AI-driven product features. Your team works closest to our AI group - the Algorithms and Data teams - and owns the engineering side of turning models into reliable production capabilities. Concretely, that means owning real backend architecture - the services and APIs that carry AI-driven capabilities into the product, the data collection pipelines that feed model training, the storage and query layers that hold model outputs and the insights we derive from them, and the validation pipelines that let us trust production flows. You will make the core design decisions on service boundaries, data models, event flows, and scale and cost tradeoffs, in a domain where both the data volume and the correctness bar are high. You do not need to arrive as an ML expert. You do need to be the kind of engineer who walks into an unfamiliar domain, learns it properly, and starts making good decisions in it. **What you'll be doing -** **Lead and grow the team** - Manage backend and MLOps engineers, some embedded in product pods; coach on delivery, decision-making, and career growth - Set clear expectations for ownership and quality; track progress against team goals, surfacing risks early **Own the backend behind our AI features** - Build and scale data pipelines with the AI group, and design how model insights are stored, queried, and exposed to the product - Build validation pipelines and partner with the Algo team to take models from experiment to production **Drive architecture direction and alignment** - Align backend decisions with the wider group, guide design discussions, and keep specs and plans on time - Collaborate with the platform team on infrastructure, deployment, and reliability standards **Improve reliability and operational readiness** - Raise the bar on stability, observability, and alert quality - Turn recurring issues into focused engineering work; lead debriefs and drive action items to completion ### **Who you are -** - 8+ years in backend engineering, with proven people leadership as a manager or team lead, delivering in fast-paced environments without micromanaging - Strong production experience with web services/APIs on AWS, PostgreSQL, Redis, S3, Kubernetes, and Kafka (including failure handling) - Experience with data pipelines (batch/streaming) and monitoring/observability tools - dashboards, logs, metrics, tracing, alerting, and on-call - An advantage: familiarity with the ML model lifecycle, Python or exposure to Python-based research teams, big data infrastructure, Computer Vision/Deep Learning, or hands-on use of AI coding tools - Ability to inspire, mentor, and grow engineers, with strong self-learning skills in unfamiliar domains - Clear communicator across technical and non-technical partners, balancing company priorities with sustainable delivery and team satisfaction **Why Nanit?** - 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. _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._ _#IL-Hybrid_

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. Join our dynamic engineering team as a **Backend Engineer**, where you will contribute significantly to the development of robust backend solutions and product innovations. If you have a passion for software engineering, enjoy tackling challenges, and view software development as an art form, you might be the perfect fit for our team. **What you'll be doing -** - **Backend System Development** **-** Use cutting-edge technologies to develop and refine backend systems integral to our product’s functionality and user experience. - **Product-Driven Development -** Play an active role in a product-focused squad, contributing to projects that align with the company’s vision and the product’s roadmap. - **Engineering Project Participation -** Take part in significant engineering projects, applying best practices in software craftsmanship to deliver high-quality solutions. - **Technology Stack -** Work with a broad range of technologies including Kubernetes, Kafka, RabbitMQ, Materialize, Postgres, Rust, Clojure, and Elixir to design and scale backend systems. - **Collaboration and Integration -** Collaborate with various teams within the company, contributing to essential microservices and APIs that underpin the product. - **Backend Guild Engagement -** Actively contribute to a backend guild that drives best practices, guidelines, and standards across the R&D team. **Who You Are -** - **Professional Experience -** 3-5 years of experience in backend software development, demonstrating solid coding skills and a foundational understanding of software design/architecture. - **System Management Knowledge -** Familiarity with critical production systems, encompassing aspects like load balancing, caching, and distributed systems. - **Web Services Skills -** Proficiency in designing and maintaining web services, particularly with REST and WebSocket protocols. - **Monitoring Abilities -** Competence in monitoring high-rate, intensive systems using tools like Grafana and Prometheus. - **Kubernetes and Cloud Services -** Experience with Kubernetes and cloud services (AWS preferred) is beneficial. - **Problem-solving and Adaptability -** Strong capability to solve complex issues and adapt to evolving technologies and environments. - **Agile Familiarity -** Understanding of Agile methodologies and practices. **Preferred Skills -** - Enthusiasm for new technologies and willingness to explore them. - Ability to independently take a concept from research to production. - Proactive in stepping out of your comfort zone. - Commitment to well-crafted and rigorously tested code. - Experience with Docker, Kubernetes, and cloud infrastructure (AWS preferred) is a plus. If you're excited by this opportunity and feel aligned with the role's requirements, we invite you to apply and contribute to our product's success! **Why Nanit?** - 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. _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._ _#IL-Hybrid_

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 Engineer** at Nanit, you will work at the intersection of backend engineering and machine learning, building the engineering systems that turn Deep Learning and Computer Vision research into reliable, scalable production features used by hundreds of thousands of families. **What you'll be doing -** - **Build Production AI Systems -** Design and implement backend services and end-to-end AI solutions that integrate Deep Learning models, Computer Vision algorithms, and GenAI into real Nanit features. - **Power Experimentation and Validation -** Contribute to the offline experimentation and validation layer, including POC environments that let the Algo team move from research to production confidently. - **Develop Data Pipelines -** Build and maintain scalable data pipelines and big-data solutions that feed Nanit's AI capabilities reliably and with an eye on cost and scale. - **Own What You Ship -** Take features end-to-end within your squad, from planning and design through implementation, deployment, and monitoring in production. - **Cross-functional Collaboration -** Work closely with the Algorithms and Data teams to tackle complex, real-world problems, helping translate research into shippable, maintainable systems. - **Backend Guild Engagement -** Actively contribute to a backend guild that drives Software Engineering and System Design best practices, guidelines, and standards across the R&D team. **Who You Are -** - **Professional Experience -** 3-5 years of hands-on backend software development experience, demonstrating solid coding skills and a foundational understanding of software design and architecture. - **Technical Proficiency -** - **Production Systems and Cloud -** Experience building and operating production-grade services on a cloud platform (AWS preferred), including familiarity with containerization (Docker/Kubernetes), CI/CD, and observability tools like Grafana and Prometheus. - **Programming -** Strong command of at least one programming language, with Python or Rust being a strong advantage. - **Web Services -** Proficiency in designing and maintaining web services and APIs, particularly with REST and WebSocket protocols. - **AI-Augmented Development -** Hands-on experience using AI coding tools in your day-to-day workflow, with genuine curiosity to push their boundaries. - **Mindset -** - **Engineering Quality -** A commitment to clean, robust, and rigorously tested code - you treat quality as a first-class engineering concern, not something retrofitted at the end of a sprint. - **Self-Learner -** A strong ability to self-learn, step out of your comfort zone, and independently take a concept from research to production. - **Problem Solver -** Strong capability to work through complex issues and adapt to evolving technologies and environments. **Advantages -** - Familiarity with the ML model lifecycle - training, evaluation, deployment, and monitoring of models in production. - Experience with Data Engineering and big-data pipelines (e.g., Dagster, Airflow, Iceberg). - Experience with TensorFlow, PyTorch, or Computer Vision concepts. - Experience with distributed systems, message queues (Kafka, RabbitMQ, SQS), and high-scale infrastructure. **What We Offer -** - An opportunity to help build the AI engineering foundation at a company where the product genuinely changes lives, and where 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. We're looking for builders and problem solvers who want to do the most interesting work of their careers. Join us as an **MLOps Engineer** and help shape the systems that power the future of connected parenting. **Why Nanit?** - 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. _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._ _#IL-Hybrid_