Back to the blueprint

How we plan the team.

Rule-based and reproducible. The engine maps your project type to a role mix, escalates seniority by scale, applies regulated-industry add-ons, then sequences roles month-by-month respecting time-to-hire in your region.

Build-vs-augment rules

if (timeline_pressure is tight  AND
    regional_density in ['medium', 'global-fallback']  AND
    seniority_required in ['senior','staff','principal']) {
  recommend_augment(role, months_to_bridge)
}
if (build_posture = 'in_house_only') {
  override_to_honest_feasibility_note()
}
if (build_posture in ['hybrid','fully_augmented']) {
  surface_augment_more_aggressively()
}

Tight timeline = โ‰ค6 months, OR โ‰ค12 months with time-to-hire โ‰ฅ 5 months in the region.

Budget envelope

for month m in timeline:
  cumulative_cost[m] = ฮฃ (role.monthly_salary ร— role.loaded_multiplier)
                       for all roles hired_to_date by month m

# Loaded multipliers (defaults):
US 1.30, UK 1.30, Germany 1.45, Singapore 1.30,
Australia 1.25, India 1.20, UAE 1.20, Canada 1.25.

# When peak monthly > budget cap, surface alternatives:
- drop seniority (senior โ†’ mid)
- move offshore (London โ†’ Bangalore)
- augment instead of hire
- delay hire 1โ€“3 months

Integrity

Three commitments.

No placement fees.

We do not collect commissions from recruiters or staffing firms surfaced in your plan.

No vendor sponsorships.

No platform pays for placement on this tool.

Salaries verified across three sources before publication.

Every band triangulates Levels.fyi + Built-In + at least one regional specialist.

Sources

Where the salary bands come from.

  • Levels.fyi โ€” quarterly, primary US source.
  • Built-In โ€” quarterly, US tech market depth.
  • Payscale โ€” bi-annual, broad coverage.
  • Howdy โ€” quarterly, LATAM and India bands.
  • Second Talent โ€” quarterly, APAC / MENA bands.
  • LinkedIn Talent Insights โ€” bi-annual.
  • HeroHunt โ€” quarterly, time-to-hire.

Found a number that's wrong? Email hello@buzzi.ai.