Give specialist hiring and distributed onboarding a shared process, even when your product and market are moving quickly.
A little less chasing. A little more clarity.
Follow a protocol engineer's practical question from the recruiter to the technical panel and back.
Fictional product walkthrough. Sample people and actions. No live messages, integrations or AI calls.
Hirebrew HireThe recruiter opens the approved role brief and asks Kwame to confirm the interview focus.
The panel wants to discuss your approach to protocol design. Do you have any questions before the conversation?
Kwame asks whether to use a public example without sharing confidential work.
May I use a public project to explain my design choices rather than confidential work?
The interviewer confirms the evidence needed and adds feedback from the earlier technical discussion.
A public example is suitable. Please explain the trade-offs and your own contribution; my earlier scorecard is recorded.
The recruiter records the agreed preparation and keeps the final assessment with the panel.
Confirmed: use a public example. The interview note now includes the panel's focus and your question.
A scripted illustration, not a customer result or a promise of production availability. People review decisions.
Protocol engineers, product operators and community specialists bring very different strengths. When interview notes live in separate chats, decisions lose their context. Hirebrew brings the hiring conversation into a clearer journey, so a promising candidate does not disappear between technical review, business approval and their first week.
Agree on role-specific criteria before interviews. Use panel scorecards to separate demonstrated engineering, operational or communication skills from familiarity with a particular ecosystem.
Explore two-way candidate conversations alongside pipeline stages. Assign a response owner instead of assuming someone in another location has already followed up.
Give each new hire a manager, a first-week task list and clear early expectations. Keep employment and jurisdiction questions with the appropriate advisers.
Try the journey with a sample protocol engineering role and a small interview panel.
Illustrative workflow. Explore the ownership at each handoff.
Create the hiring request around the team's actual need. Agree on the approver, interview criteria and who can make the final selection before candidates enter the pipeline.
Collect structured feedback from the people assessing engineering depth, collaboration and operational judgement. Review evidence against the same role requirements without turning one score into an automatic decision.
Use the candidate messaging journey to explain the next step and receive questions. Agree on local working hours for an African and internationally distributed team.
Explore onboarding tasks and a 30/60/90-day plan. Name the person responsible for each handoff, while access provisioning remains with your existing technology owners.
See connected sample interactions in the product tour.
Explore the productStart with a focused workflow. Connect more of the employee journey as your evaluation develops.
Make the reason for a new specialist role and its approval owner explicit before recruitment begins.
Explore the capabilityOrganise technical and nontechnical feedback around a consistent set of selection criteria.
Explore the capabilityExplore a two-way exchange so applicants can ask questions and understand their next step.
Explore the capabilityConnect the new employee's first tasks to manager check-ins and a practical development plan.
Explore the capabilityExplore Brew's illustrative drafting approach for a specialist role brief. A hiring manager should check technical terminology, requirements and inclusive language before anything is shared.
Explore Brew AIUse sample candidates and a panel spanning two functions. Evaluate whether the decision context survives every handoff.
Download the starting briefYes. Map participants, locations and working hours in the pilot. Test access and notification requirements separately before considering live use.
No. Token compensation, payments, worker classification and jurisdiction-specific employment requirements remain with your existing systems and qualified advisers.
No. Brew examples are illustrative drafts. Live AI requires separate implementation and safeguards, and people remain accountable for selection.