Problem
Job discovery becomes noisy when saved roles, unread changes, and recurring searches live in separate tools.
My role
I designed the invite-only workflow, account boundaries, inbox model, scheduled digest behavior, and public deployment route.
Constraints
The service must keep account data isolated, avoid exposing job activity publicly, and still provide a reviewable product surface.
Key decisions
Invite-only access narrows exposure; account-scoped records keep saved and unread state separate; discovery, matching/explanation, and delivery-agent labels make the workflow boundaries visible; scheduled digests turn repeated checking into a deliberate workflow.
Architecture
A routed application surface sits behind authentication, with tenant-scoped inbox data, preview-only email behavior, AI-assessment gates, and scheduled pipeline/notify/backup work separated from request-time interaction.
Engineering evidence
The live login route, isolated product shell, inbox states, scheduled digest controls, workflow labels, tests, and documented privacy boundary are the current evidence boundary.
Result
The project demonstrates product and privacy judgment without publishing user data or inventing business outcomes.
Limits & next steps
The public case study deliberately omits internal data structures, account details, infrastructure addresses, and private operational records.