SHRM’s 2026 benchmark of 39 calendar days for time-to-fill is a useful reference point, but it masks significant variation by role type, seniority, and industry. For practical workforce planning, talent leaders need role-specific benchmarks — not an all-industry average that blends administrative hires with highly specialized technical searches.
Time-to-Fill Benchmarks by Role Type (2025–2026)
Based on Huntr's Q2 2025 analysis of 461,000 applications and cross-referenced with The Resource Company's 2026 report:
- Senior Software Engineers / Technical Roles: 60–88 days median. Ashby's 2025 data puts the median at 88 days for technical roles.
- Business and Operations Roles: 55–68 days median.
- Healthcare and Clinical: 49+ days, per LinkedIn Talent Solutions analysis; critical clinical roles often exceed 90 days.
- Executive and C-Suite: 60–90 days per SHRM's executive benchmarks; specialized executive search can run 120+ days.
- Administrative and Operational (high-volume): 20–35 days with automation applied; 30–45 days without.
- Sales Roles (mid-market): 35–55 days; varies heavily by territory and comp structure.
What "Top-Quartile" Looks Like in 2026
The US Tech Automations 2026 Recruiting Automation Benchmark Report found that teams running orchestrated automation achieved 28-day time-to-fill for white-collar roles — against SHRM’s all-channel median (44 days in 2025, 39 in 2026). The same report found that best-quartile teams running mature automation (Tier 6–7 on their framework) closed at 28 days with 94% hiring manager satisfaction. These organizations are not faster by accident: they have active pipelines for their most-hired role families, automated screening for volume roles, and hiring manager SLAs built into intake.
Why Aggregate Benchmarks Can Mislead Planning
Using a single company-wide time-to-fill average as your planning assumption creates two problems. First, it understates the challenge for technical and executive roles — using the all-role median to plan a senior engineering hire will produce systematic under-resourcing and missed targets. Second, it overstates the challenge for operational and administrative roles — calibrating everything to 60+ days creates unnecessary urgency and cost for roles that should close in 3 weeks.
Build a role-family benchmark matrix: categorize every role type you hire by expected time-to-fill range, identify the roles that consistently exceed their target, and focus process improvement investment on those. That's where the highest ROI on sourcing and automation investment sits.
UPPER is designed for the hard ones — technical, specialized, and competitive roles where sourcing speed and candidate quality have the largest impact. See how teams are compressing time-to-fill on technical roles →