Home › Companies › Wonderschool › Full Stack Software Engineer, Applied AI
Full Stack Software Engineer, Applied AI
Wonderschool · San Francisco · On Site · Active · $140,000 / year · Greenhouse
Job facts
| Field | Value |
|---|---|
| Company | Wonderschool |
| Title | Full Stack Software Engineer, Applied AI |
| Normalized title | - |
| Department / team | Engineering |
| Location | San Francisco, CA, United States |
| Work model | On Site |
| Employment type | - |
| Salary | $140,000 / year |
| Status | active |
| ATS provider | Greenhouse |
| Posted / first seen | 2026-04-23 / 2026-05-29 |
| Changed / last seen | 2026-05-29 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Wonderschool. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Greenhouse. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in San Francisco. | Open |
| Department jobs | Active postings in Engineering. | Open |
| Work model jobs | Active On Site postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Wonderschool |
| Source | 01f49c00-6490-43a4-a04b-8711530ddc60 |
| ATS provider | Greenhouse |
Description
About Wonderschool
Wonderschool builds software that helps small business owners earn more money. We started with childcare providers because it is a large, underserved market where technology can have an outsized impact on revenue. But the model scales: we are building a platform and a playbook that will expand into other verticals.
We are heavy users of AI. OpenClaw agents run most of our operations: provider outreach, customer communications, enrollment workflows, compliance tasks. Non-engineers at Wonderschool spin up automations, cron jobs, and API workflows directly from Slack, without touching a line of code. We are now taking the next step: making AI agents reliable enough to build the product itself.
Our team is small and moves fast. We value engineers who are obsessed with outcomes, not process.
The Vision
The North Star for this role: a system where a user signal (a provider revenue dropping, an enrollment bottleneck, a churn spike) automatically triggers a chain of AI agents that writes the product requirements, designs the solution, builds the code, reviews it, and ships it. No human in the loop for the routine stuff. Humans define what matters, train the agents, and review edge cases.
We are not there yet. You are the person who helps us get there, piece by piece.
What You Will Do
Own the AI Development Loop
Review and iterate on AI-generated code (from tools like Claude Code, OpenClaw, Codex, Cursor) and feed that review back as training signal to make the agents better over time
Architect the codebase for AI legibility: clean data models, strong documentation, deprecation of legacy patterns that cause agents to fail
Build and maintain the automated product pipeline: signal detection, agent-generated requirements, AI-driven development, AI code review, commit
When agents break in production, you own the diagnosis and fix
Enable the Business, Not Just the Product
Build tools and workflow infrastructure that let operations, sales, and customer success teams operate the platform themselves, without filing engineering tickets
Translate what internal teams need into automated, reliable systems
Help non-engineers understand what is possible and then make it happen
Ship Full-Stack Product
Build features across the frontend and backend: React/TypeScript on the front, Node.js or Elixir on the back, Postgres underneath
Own the full lifecycle from requirements to production
Debug issues across the entire stack
Stay Close to What Is Live
Actively observe the production environment: usage patterns, agent failures, edge cases, provider behavior
This role requires a high degree of personal accountability for system health. When things are running well, that is because you have built the monitoring and alerting to catch problems early. Getting there takes commitment.
Required Qualifications
5+ years of experience as a full stack engineer
Hands-on experience with AI coding agents (Claude Code, OpenClaw, Codex, Cursor, or similar) in a real development workflow
Strong product instincts: you can take ambiguous user signals and turn them into concrete technical requirements without heavy PM support
Proficiency with React/TypeScript and at least one backend language (Node.js, Elixir, Ruby on Rails, or similar)
Experience with Postgres or similar relational databases
High ownership mentality: you do not wait to be told something is broken
Clear, direct communication skills, written and verbal
Preferred Qualifications
Experience building or operating agentic workflows in production
Experience designing feedback loops that improve AI output quality over time
Background at a startup or high-growth company
Experience with CI/CD, DevOps, or cloud infrastructure
Experience with REST or GraphQL API design
What We Are Not Looking For
This is not a 9-to-5 role. At this stage, getting AI agents to ship reliable production code requires close observation of what is actually happening in the codebase. When the system is working well, that monitoring is lightweight and mostly automated. Getting it to that point requires genuine commitment: watching the system, catching failures before they compound, and iterating fast.
We are also not looking for engineers who want to write code in isolation. If enabling non-technical teammates and removing yourself from repetitive engineering work does not sound appealing, this probably is not the right fit.
Compensation and Benefits
Base salary: $140,000+, depending on experience, skills, and location. This role is also eligible for equity and other forms of compensation.
Wonderschool offers a competitive benefits package, including:
Health benefits with up to 100% coverage for employee premiums and up to 80% for dependents
Wifi and employee wellness stipends
Flexible PTO, paid holidays, and mental wellness days
Competitive parental leave (eligible after 6 months of employment)
A highly collaborative, mission-driven workplace environment
Location
San Francisco, primarily in-office.
Full job record
| Job ID | 393e8f5e4f27ef51b48b9a9e97be538fe85505f0 |
| Org ID | 86be4c3e-e49b-4bc0-80ac-2ac107193108 |
| Source ID | 01f49c00-6490-43a4-a04b-8711530ddc60 |
| Board ID | 01f49c00-6490-43a4-a04b-8711530ddc60 |
| Provider | greenhouse |
| Provider Job Key | 7712631003 |
| Title | Full Stack Software Engineer, Applied AI |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | San Francisco |
| Department | Engineering |
| Team | — |
| Employment Type | — |
| Workplace Type | on_site |
| Remote Policy | — |
| Country | United States |
| Region | CA |
| City | San Francisco |
| Salary Raw | Compensation and Benefits Base salary: $140,000+, depending on experience, skills, and location |
| Salary Min | 140,000 |
| Salary Max | — |
| Salary Currency | USD |
| Salary Period | year |
| Source URL | https://job-boards.greenhouse.io/wonderschool/jobs/7712631003 |
| Apply URL | https://job-boards.greenhouse.io/wonderschool/jobs/7712631003 |
| First Seen At | 2026-05-29 22:39:49Z |
| Last Seen At | 2026-06-06 18:46:41Z |
| Last Checked At | 2026-06-06 18:46:41Z |
| Last Changed At | 2026-05-29 22:39:49Z |
| Inactive At | — |
| Source Posted At | 2026-04-23 23:11:46Z |
| Source Updated At | 2026-04-27 20:15:37Z |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=wonderschool/date=2026-06-06/2026-06-06T18-46-40-973Z-1e2117d363db2413b5a33d908a227e6ec0df66ab5179cccc31387bd5e1ec618f.json |
Event Fields
{
"content_hash": "e15073c017cbdf90f60b897906a377e724e16250d13044224c9d29b99ce42f3a",
"source_hash": "d71428fd054269d03def0153203c867c3702b079a0e996739c950d7eb1c2524a",
"last_changed_at": "2026-05-29T22:39:49.414Z",
"active_status": "active"
}Parsed Structured
{
"language": "en",
"location": {
"raw": "San Francisco",
"city": "San Francisco",
"region": "CA",
"country": "United States",
"is_remote": false,
"confidence": 0.75
},
"salary_max": null,
"salary_min": 140000,
"inferred_at": "2026-06-06T18:46:41.072Z",
"launch_scope": {
"reason": "english_us_canada",
"included": true,
"language": "en",
"location": {
"raw": "San Francisco",
"city": "San Francisco",
"region": "CA",
"country": "United States",
"is_remote": false,
"confidence": 0.75
},
"countries": [
"United States"
]
},
"remote_policy": null,
"salary_period": "year",
"workplace_type": "on_site",
"salary_currency": "USD"
}Extensions
{}Native Structured
{
"title": "Full Stack Software Engineer, Applied AI",
"offices": [
{
"id": 4013143003,
"name": "San Francisco",
"location": null,
"child_ids": [],
"parent_id": null
}
],
"language": "en",
"location": {
"name": "San Francisco"
},
"metadata": [],
"updated_at": "2026-04-27T16:15:37-04:00",
"departments": [
{
"id": 4021956003,
"name": "Engineering",
"child_ids": [],
"parent_id": null
}
],
"company_name": "Wonderschool",
"requisition_id": 5755338003,
"first_published": "2026-04-23T19:11:46-04:00",
"application_deadline": null
}Get this page with API
Rendered from the bluedoor Job Postings API. Reproduce it:
GET https://api.bluedoor.sh/job-postings/v1/jobs/393e8f5e4f27ef51b48b9a9e97be538fe85505f0?include=descriptionJSONGET https://api.bluedoor.sh/job-postings/v1/orgs/86be4c3e-e49b-4bc0-80ac-2ac107193108JSONGET https://api.bluedoor.sh/job-postings/v1/sources/01f49c00-6490-43a4-a04b-8711530ddc60JSONGET https://api.bluedoor.sh/job-postings/v1/jobs/393e8f5e4f27ef51b48b9a9e97be538fe85505f0/eventsJSON