AI career readiness, built around your target
SPHERO turns your target job into a living plan that learns from every assessment, interview, project and practice session.
Choose a role, seniority and the companies you want.
Built from your resume, target job descriptions and demonstrated performance.
The hard part is knowing what matters for the role you want, and whether you can actually do it.
Too much generic content.
Resume claims are not readiness.
Different companies create different gaps.
Target, diagnose, plan, practice, prove. Then around again, with better evidence each time.
You pick the role, the seniority, the companies and the job descriptions you actually want. That destination is what every later step is measured against.
You get: Senior Data Scientist, 3 companies, 3 job descriptions
One continuous sample, not six disconnected features.
The destination is set first. Everything after this is measured against these three roles, not against a generic syllabus.
Sample journey. Illustrative data.
SPHERO remembers what you have proven, struggled with, practiced and targeted. It does not re-teach a concept you already demonstrated, unless new evidence points to decay or a higher bar.
Proven
Statistics: explained power and multiple testing in the diagnostic.
Struggled with
Causal inference: matching and difference-in-differences were treated as one idea.
Practiced
SQL windows: three timed queries, clean reasoning.
Targeted
Senior Data Scientist at three companies.
Sample candidate state.
SPHERO shows
Mode: Coding. Artifact: Editor, test results and feedback.
Not a completion score. A map of what each capability rests on, and how sure we are.
Sample target: Senior Data Scientist. Brightness shows strength of evidence, not a level.
Requirement. Design tests, choose metrics and guardrails, read results.
Recent. Strong on setup, thin on interference and novelty effects.
Next action. Practice a marketplace experiment case.
Core and Pro will state their limits in plain language. See how plans work
Find my gaps
