Kiddom
Senior Full Stack Engineer, Growth
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About Kiddom
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.
What you'll do...
- 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
What we're looking for...
- 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
Bonus...
- Growth engineering experience
- CI/CD experience (GitHub Actions or similar)
- Familiarity with the AWS ecosystem (Lambda, ECS, RDS, k8s, containerized applications)
Salary range is dependent on geographic location, prior experience, seniority, and demonstrated role related ability during the interview process.
What we offer
Full time permanent employees are eligible for the following benefits from their first day of employment:
* 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
Equal Employment Opportunity Policy
Kiddom is committed to providing equal employment opportunities to all employees and applicants without regard to race, religion, color, gender, sexual orientation, transgender status, national origin, citizenship status, uniform service member status, pregnancy, age, genetic information, disability, or any other protected status in accordance with all applicable federal, state, and local laws.
Kiddom San Francisco, California, USA Office
We are in Union Square, close to BART, MUNI, other public transportation, coffee shops, restaurants, bars, and shops. It's a bustling neighborhood in the heart of San Francisco with easy access to restaurants for offsite socializing at lunch or after work.
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
