Diversity Sourcing Automation for B2B SaaS | Clozure AI Maya

Replacing a senior engineer costs 1.5x their salary. Maya runs sourcing, scheduling, and screening end-to-end — with a 4.2-week median time-to-hire. For diversity sourcing specifically, that speed means you don't lose underrepresented candidates to slow, manual pipelines that leak 62% of prospects before a first interview.

The Diversity Sourcing problem most teams have

Most B2B SaaS teams treat diversity sourcing as a quarterly checkbox — post on a few niche job boards, attend a career fair, hope for the best. The numbers tell a different story:

• $47,000 — the average cost of a single diversity hire when you factor in agency fees, job board subscriptions, and recruiter hours spent manually sourcing from communities like Out in Tech or AfroTech. For a team hiring 15 people per year, that's over $700,000 spent with no guarantee of pipeline quality.
• 73 hours per month — the time a senior recruiter spends manually searching LinkedIn, DMing candidates, and chasing referrals for diverse slates. That's nearly two full weeks of work every quarter, time that could go toward candidate engagement or closing.
• 3.2x — the likelihood that diverse candidates drop out of your hiring process after the third round if they experience more than one scheduling reschedule. Manual coordination across time zones and hiring managers creates friction that disproportionately impacts underrepresented talent.

Maya eliminates these losses before they happen.

How Maya owns Diversity Sourcing end-to-end

Maya doesn't just find candidates — she owns the entire diversity sourcing workflow from pipeline to offer. Here are the specific capabilities that matter most for this use case:

• Sourcing — Maya scrapes 80+ sources including diversity-focused communities, university alumni networks, and professional associations. She scores each candidate against your role requirements and diversity goals, then ranks them in a single prioritized list. No more manual cross-referencing of spreadsheets.
• Interview scheduling — Maya coordinates across hiring manager calendars, candidate availability, and time zones automatically. She sends calendar invites with prep materials and diversity statement context, reducing scheduling-related drop-off to under 8%.
• Candidate scoring — Maya evaluates responses against structured rubrics you define, flagging bias patterns (e.g., consistently lower scores for candidates from non-target schools). She surfaces the top 5 candidates for every role with a diversity scorecard alongside their technical assessment.
• Engagement pulse — Maya sends short, anonymous surveys to candidates mid-process. If a candidate reports feeling "unwelcome" or "confused about next steps," Maya alerts you and suggests an intervention — like a meet-and-greet with an ERG member.

A concrete Maya workflow

BEFORE: Acme SaaS (200 employees) needed to hire 3 senior product managers with a focus on increasing gender diversity on the product team. Their manual process: recruiter spent 12 hours per week posting on Women in Product Slack groups, attending virtual meetups, and manually screening 40+ inbound applications. After 8 weeks, they had 2 qualified candidates — both declined due to slow interview scheduling (3 reschedules each).

MAYA'S ACTIONS:

1. Day 1 — Maya ingested the job description and diversity targets. She sourced 127 candidates from 14 sources including Women Who Code, Lesbians Who Tech, and university alumni lists. She scored and ranked them, presenting a shortlist of 12 candidates (8 women, 4 non-binary) within 48 hours.
2. Day 3 — Maya sent personalized outreach emails to the top 5 candidates, scheduling first-round interviews with the hiring manager within the same week. No back-and-forth.
3. Day 14 — After two rounds, Maya ran a bias check on scoring patterns. She found the hiring manager scored candidates from Stanford 0.8 points higher on average — and flagged it. The team adjusted their rubric.
4. Day 21 — Maya facilitated final-round interviews with the VP of Product. She sent candidate prep materials and a diversity statement for each interviewer.

AFTER: All 3 offers accepted within 4.2 weeks median time-to-hire. Cost per hire: $8,200 (vs. $47,000 previously). Pipeline diversity: 62% of sourced candidates were women or non-binary — exceeding the 50% target. Candidate satisfaction score: 4.7/5.

Why Maya wins vs. hiring

Hiring a human VP of People costs $180,000–$250,000 per year plus benefits, equity, and a 90-day ramp where they learn your tools, culture, and existing pipeline. Even then, humans get sick, take vacation, and can only work 40 hours per week. A single attrition event — the VP leaves after 18 months — costs you $300,000+ in replacement search fees and lost momentum.

Maya costs a fraction of that. She works 24/7, never takes vacation, and processes 10x the candidate volume without fatigue. She doesn't replace your VP of People — she augments them, handling the repetitive sourcing, scheduling, and screening work so your human team can focus on relationship-building and closing. With Maya, a single recruiter can manage 3x the diversity sourcing pipeline.

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