Connect research, engineering and commercial hiring with a shared employee journey and clearly accountable decisions.
A little less chasing. A little more clarity.
Follow a new engineer and manager turning broad expectations into an agreed learning conversation.
Fictional product walkthrough. Sample people and actions. No live messages, integrations or AI calls.
Hirebrew GrowThe manager records learning expectations and an early check-in, without inventing delivery targets.
Let's start by understanding the team's evaluation approach and how decisions are reviewed.
Chika adds a specific learning need rather than being judged from an assumed performance signal.
I would like a walkthrough of how the team documents evaluation decisions.
The manager brings that request into the check-in and proposes an introduction to the relevant colleague.
We can arrange a walkthrough with our evaluation lead and use the next check-in to discuss your questions.
Chika and the manager record the learning conversation and agree who will follow up.
The walkthrough will help. I have added the questions I want to discuss at our next check-in.
A scripted illustration, not a customer result or a promise of production availability. People review decisions.
Hiring a researcher, applied engineer or solutions lead involves different kinds of evidence. Fast-changing role requirements make it tempting to improvise every interview. Hirebrew helps you explore a more deliberate process, where the team agrees on the work, assesses relevant skills and carries those expectations into the new employee's first months.
Separate research depth, production engineering and customer problem-solving. Use the requisition and panel criteria to make the actual capability gap clear to everyone involved.
Collect structured interviewer feedback and review the evidence together. Candidate selection should remain an accountable team decision, not an opaque model score.
Organise onboarding tasks, manager check-ins and early goals. For teams distributed across African markets and beyond, make ownership explicit rather than assuming proximity will fill the gaps.
Explore a sample applied AI engineer journey involving engineering, product and the future manager.
Illustrative workflow. Explore the ownership at each handoff.
Connect the role request to specific team needs. Agree on essential skills and the parts of the job that the employee can learn after joining.
Use scorecards to capture technical judgement, collaboration and practical problem-solving. Keep candidate communication open while the panel resolves differing views.
Explore first-week tasks and a 30/60/90-day plan. Assign introductions and learning responsibilities while infrastructure and repository permissions stay with their existing owners.
Use check-ins and development conversations to discuss progress and emerging skill needs. Keep the employee's growth visible alongside a changing product or research roadmap.
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.
Give specialist recruitment a defined starting point and a shared view of the candidate journey.
Explore the capabilityOrganise evidence from research, engineering, product or commercial interviewers without removing human judgement.
Explore the capabilityConnect first-month expectations to goals, regular check-ins and relevant learning needs.
Explore the capabilityExplore illustrative AI-assisted drafts, then inspect and edit the output before treating it as useful.
Explore the capabilityBrew's website examples are scripted, illustrative drafts, not a connected model or autonomous agent. Use them to discuss permitted data, output quality and human review before scoping any live implementation.
Explore Brew AIChoose one specialist role and a sample-data journey. Inspect the handoffs and define acceptance criteria before broadening the pilot.
Download the starting briefNot in this website preview. Its examples illustrate drafting and review interactions. Provider setup and production safeguards require a separate implementation.
The panel journey lets you explore different participant perspectives. Define each person's criteria and validate role access as part of the pilot.
No. Model development, compute, repositories and experiment tracking stay in your specialist tools. Hirebrew focuses on the people doing that work.