Senior Full Stack Engineer, Growth

Kiddom•San Francisco or New York, NY

8d•$180,000 - $230,000

About The Position

Kiddom is a groundbreaking educational platform that promotes student equity and growth by uniting high-quality instructional materials with dynamic digital learning. Through unparalleled curriculum management functionality, Kiddom empowers schools and districts to take ownership of their curriculum – resulting in learning experiences tailored to meet the unique needs and goals of local communities. Kiddom’s high-quality curriculum is layered with robust teacher and leader data insights to drive the continuous improvement of instructional decisions, school/district programming, and professional learning. We’re looking for a Senior Full Stack Engineer to join our Growth Pod - a fast-moving, experiment-driven group focused on building features that increase user engagement and accelerate product adoption. This is a hands-on technical role where you will rapidly prototype, iterate, and ship features that directly shape how educators and students experience Kiddom. You’ll work within a small, agile team of 3–4 engineers, collaborating closely with product and design to bring impactful ideas to life. This role is ideal for someone who thrives in ambiguity, enjoys data-informed experimentation, and is energized by fast learning cycles and continuously learning new technologies. You should be an engineer who is AI native and curious - someone who uses AI tools daily to accelerate development, improve code quality, and meaningfully incorporate AI into user-facing experiences.

Requirements

5-7+ years of professional software development experience
A full-stack mindset with willingness to work across frontend, backend, infrastructure, and experimentation tooling
A data-informed perspective - comfortable implementing data tracking, analyzing metrics, interpreting experiment results, and using insights to guide iteration
A collaborative, product-minded engineer who enjoys working directly with design and PM partner
Someone who embraces fast iteration, incomplete information, and continuous learning
An AI-native engineer who knows how to select, use, learn, and apply AI tools effectively in both development and product experiences

Nice To Haves

Growth engineering experience
CI/CD experience (GitHub Actions or similar)
Familiarity with the AWS ecosystem (Lambda, ECS, RDS, k8s, containerized applications)

Responsibilities

Build end-to-end solutions from React/TypeScript frontends to GoLang and Python backend services (being highly experienced in one of these can be sufficient)
Rapidly prototype new ideas and ship iterative features using lean development principles
Partner and support other engineers on the team in related work in the development lifecycle
Analyze performance and user engagement data to assess feature quality and propose improvements
Turn product concepts into robust, scalable solutions while balancing speed and long-term maintainability
Collaborate closely with product, design, and data partners to test hypotheses and deliver measurable outcomes
Work with advanced technologies, including AI/LLM integrations, and leverage AI tools to enhance engineering velocity and product quality
Contribute to architectural decisions, tooling enhancements, and best practices across the stack

Benefits

Competitive salary
Meaningful equity
Health insurance benefits: medical (various PPO/HMO/HSA plans), dental, vision, disability and life insurance
One Medical membership (in participating locations)
Flexible vacation time policy (subject to internal approval). Average use 4 weeks off per year.
10 paid sick days per year (pro rated depending on start date)
Paid holidays
Paid bereavement leave
Paid family leave after birth/adoption. Minimum of 16 paid weeks for birthing parents, 10 weeks for caretaker parents. Meant to supplement benefits offered by State.
Commuter and FSA plans