Lead the engineering organization at Kiddom, focusing on delivering AI-powered features, managing teams, and driving architectural decisions for the platform.
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.
Kiddom is seeking a hands-on Director of Engineering to lead key parts of our engineering organization and help bring our AI-first product vision to life. Reporting to the VP Engineering, this leader will be responsible for managing multiple engineering teams, driving delivery excellence, and evolving our platform to support district-scale impact. You will translate the company’s technical strategy into execution: building high-performing teams, maturing our architecture and infrastructure, and partnering closely with Product, Data, AI and Curriculum to ship AI-powered features that teachers and students love.
What You'll Do...
- Own delivery for a portfolio of product and platform areas, ensuring your teams ship high-quality software on time
- Help define and drive adoption of engineering best practices
- Contribute to technical decision-making on architecture, frameworks, and key platform investments
- Lead, coach, and grow engineering managers and senior engineers across backend, frontend, DevOps, data, and AI-adjacent teams
- Implement and refine processes for planning, estimation, documentation, and cross-team collaboration
- Partner with the engineering leadership on career ladders, performance management, and succession planning within engineering
- Work with Product, Data, and Curriculum teams to deliver AI-powered features that improve personalization, grading, insights, and curriculum recommendations
- Help teams integrate AI capabilities into existing workflows in ways that are intuitive, reliable, and impactful for educators and students
- Partner with platform and SRE teams to improve CI/CD pipelines, observability, and cloud cost efficiency
- Work with data engineering to design and maintain scalable, well-modeled data pipelines that power AI and analytics features
- Support integration of real-time and batch data sources into the product in ways that are secure, privacy-preserving, and aligned with education data regulations
- Partner with Product and GTM leaders to prioritize work based on customer impact, state adoption cycles, and business goals
- Collaborate with Customer Success and Support to understand field feedback and translate it into backlog items and improvements
- Help GTM teams with procurement processes and procedures, including privacy and security guidelines as well as RFO proposals
What we're looking for...
- 10+ years in software engineering, with 5+ years leading and scaling teams in a SaaS environment
- Has managed multiple teams working on a range of products
- Strong background in building and operating distributed systems and cloud-native platforms
- Experience delivering products that leverage AI/ML (for example, recommendations, automation, analytics) or working closely with data science/ML teams
- Familiarity with modern data pipelines, security best practices, and observability
- Comfortable diving into technical discussions and guiding teams on trade-offs, even if you are not writing code daily
- Be able to be ‘in the weeds’ with the engineers driving technical decisions
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.
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.
Top Skills
AI
Cloud-Native Platforms
Data Pipelines
Ml
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.
Similar Jobs
Consumer Web • Healthtech • Professional Services • Social Impact • Software
The Director of Engineering for Data Platform will strategize, execute, and ensure reliability of the company's data platform, while leading engineering teams and implementing AI-driven solutions.
Top Skills:
AIData EngineeringData Platforms
Beauty • Enterprise Web • Fintech • Payments • Software
The Director of Engineering will lead multiple teams, establish technical strategy, manage delivery of initiatives, and align engineering with business goals at GlossGenius.
Top Skills:
ArchitecturesEngineering MetricsModern Engineering PracticesSoftware EngineeringSystemsTechnical Strategy
.png)
Consumer Web • eCommerce • Marketing Tech • Retail • Software • Analytics • Generative AI
As Director of Application Engineering, you lead a team to architect, develop, and oversee integrations and custom applications while ensuring a robust and scalable ecosystem for Klaviyo.
Top Skills:
APIsApigeeAWSGCPGoGoogle Pub/SubIpaasJavaKafkaKinesisKongMulesoftPythonWorkatoZapier
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
