Senior AI Platform Engineer
LLM, Kubernetes, API leadership
For recruiters drowning in tabs
Know which job a candidate fits before you open another tab.
CmdHire reads the profile you are viewing, checks it against your open roles, shows the evidence, and drafts the next message. No copy-paste. No spreadsheet memory. No guessing which req this person was perfect for.
1 profile
all matching roles
1 click
save candidate context
1 draft
outreach with proof
MC
Mitchell Carroll
AI Product Lead | Growth systems | Tokyo
CmdHire
Active profile captured
Match Radar
3 ranked matches
Growth Product Lead
Experimentation, lifecycle, GTM loops
Recruiting Ops Automation
ATS, workflow design, reporting
CmdHire
This candidate looks strongest for Senior AI Platform Engineer. Ask about Kubernetes scale, LLM deployment depth, and Tokyo availability.
The pain
Great candidates get lost because the desk is moving faster than the tools.
Recruiters remember fragments: “that Rails person,” “the bilingual ML lead,” “someone perfect for Mercari.” CmdHire turns those fragments into searchable, explainable next actions.
Stop rereading profiles
Open a LinkedIn profile and CmdHire keeps the relevant candidate context ready for chat, matching, and saving.
Stop guessing fit
Match Radar ranks active jobs by evidence, not vibes, so recruiters can defend why a profile belongs on a shortlist.
Stop losing rediscovery
Save the candidate once, then find them later by skill, location, role, client, note, or weird half-memory.
Stop writing from scratch
Draft outreach, screening questions, and submission notes from the actual candidate and job context.
The simple loop
Open profile. See fit. Act while the context is hot.
CmdHire is not trying to replace the ATS. It is the fast command layer recruiters use while sourcing, screening, and preparing candidates for clients.
Open a profile
CmdHire captures the active page context when summoned.
See ranked jobs
Match Radar compares the candidate against active roles and shows why.
Move the desk forward
Save the candidate, draft outreach, prep questions, or build a submission packet.
Enterprise posture
Built for teams that handle candidate data for a living.
Local by default
Candidate and job records live in an app-managed local database for the desktop MVP.
Choice of model path
Use local LLMs through Ollama, remote APIs where approved, or offline heuristics for basic workflows.
ATS-ready roadmap
Greenhouse and Lever workflows anchor the first agency integrations without forcing manual API setup.
What recruiters get
The answer to “should I move this person forward?” appears while the profile is still open.
Which jobs match this candidate, ranked by role evidence.
What to verify before you pitch them to a client.
A message that references the actual profile and role.
A saved candidate record you can rediscover later.
Private agency pilots
Put CmdHire on one sourcing desk and watch where the time comes back.
Best fit: recruiting agencies with active roles, repeat sourcing workflows, and recruiters who live in LinkedIn plus Greenhouse, Lever, CSVs, or local notes.