Hiring in Agriculture & AgriTech

• Farm operations

  Farm managers · Agronomists · Livestock managers

• Agri-supply

  Category managers · Grain traders · Commodities analysts

• AgTech

  AgTech PMs · IoT/embedded engineers · Data scientists (crop models)

• Farm-gate to supply-chain

  Farm operators, agri-suppliers and food processors demand different evidence.

• AgTech specialisation

  Precision-agriculture, farm-management software and biological-input companies scored separately.

Every candidate is scored against the role's rubric, and every score points back to a specific line in the CV. For agriculture & agritech, these are the signals that carry weight:

• Segment-specific rubric
• AgTech separation
• Commodities exposure captured

1. A ranked set of candidates, each with a score and the evidence behind it.
2. Eligibility checks resolved before the candidate reaches you — right to work, credentials, location model.
3. Salary expectation against your band, stated plainly, before you invest interview time.
4. One decision per candidate: advance, hold or decline, reversible for a short window.

Candidates stay invisible to you until we've reviewed them for your specific role, and contact details are released as a separate step.