Recruitment Lead

We're Hiring: Pod System Recruitment Lead Client-Facing

Location: Indore, India | Experience: 46 Years | Department: Talent Delivery & Client Operations

Reports To: Co-Founder / Head of Delivery | Employment Type: Full-Time, Permanent

Compensation: Competitive CTC + Performance-Linked Pod Bonuses | Team: Pod of 35

ABOUT SOURCEBAE

Sourcebae is an AI workforce infrastructure company that deploys credentialed domain experts AIIMS-trained doctors, IIT/NIT engineers, licensed lawyers, and Chartered Accountants for AI training, RLHF, data annotation, LLM evaluation, and red-teaming workflows.

Our clients include Google, Microsoft, Amazon, Meta, Anthropic, and NVIDIA across 22+ industry verticals. We are not a staffing agency we are the expert supply backbone that powers the world's most advanced AI systems.

Our platform ecosystem includes Homans.ai and SAIRA an AI-powered vetting engine that integrates with enterprise ATS platforms like Greenhouse, Lever, and Workday.

KEY RESPONSIBILITIES

A. Pod Operations & Leadership

• Build, lead, and mentor a pod of 35 members (TA Associates, Sourcers, QA/Vetting Coordinators) as a self-contained delivery unit
• Establish daily standup rhythms, weekly pod reviews, and monthly retrospectives with clear pod-level KPIs: fill rate, time-to-submit, client NPS, expert retention rate
• Implement a Kanban/sprint-based workflow for requirement tracking, candidate pipeline management, and delivery milestones
• Own pod capacity planning forecast demand by client/vertical, identify skill gaps, and coordinate with HR for pod expansion or cross-training
• Drive pod-level automation: leverage SAIRA for AI-assisted vetting, LinkedIn Recruiter for sourcing, and CRM for pipeline management

B. Client-Facing Delivery & Account Management

• Serve as the primary delivery POC for 512 active client accounts across AI labs, enterprise AI practices, and data annotation partners
• Conduct structured requirement intake calls with client stakeholders (AI PMs, Data Ops leads, Research Scientists)
• Develop and present Talent Availability Reports, Market Intelligence Briefs, and Supply Forecasts to clients on a bi-weekly basis
• Own the client delivery SLA: time-to-first-profile (48 hrs standard / 24 hrs priority), time-to-fill, quality pass rate, and replacement turnaround
• Run weekly client syncs to review pipeline health, escalate blockers, and proactively propose expert profiles
• Build deep, trust-based client relationships so Sourcebae is positioned as a strategic supply partner not a transactional vendor

C. Expert Sourcing, Vetting & Deployment

• Lead sourcing strategy for credentialed domain experts across healthcare, legal, finance, and engineering verticals
• Execute multi-channel sourcing campaigns: LinkedIn Recruiter, academic networks, professional body partnerships, referral programs, and reactivation of Sourcebae's 10,000+ candidate pool
• Oversee SAIRA-assisted vetting workflows: credential verification, domain skill assessment, AI annotation readiness evaluation, and cultural fit checks
• Build and maintain a live Expert Bench a pre-vetted, deployment-ready pool segmented by vertical, language, timezone, and annotation skill level
• Coordinate expert onboarding, NDA execution, compliance documentation (ISO 27001, GDPR, HIPAA), and project-specific training

D. Process Design & Continuous Improvement

• Design and document the end-to-end Pod Operating Playbook: SOPs for requirement intake, sourcing, vetting, client communication, escalation, and delivery reporting
• Build standardized JD templates and expert persona cards for recurring client requirements across all 22 verticals
• Implement a data-driven delivery review cadence: weekly dashboards, monthly scorecards, quarterly delivery audits
• Collaborate with the SAIRA Product team to provide feedback loops on vetting accuracy and pilot AI-assisted candidate matching features

E. Market Intelligence & Strategic Input

• Track competitive landscape: monitor Micro1, Alignerr, Mercor, Turing, and Scale AI for talent supply positioning and pricing signals
• Provide ground-level intelligence to Sales and Leadership on supply-side constraints, emerging expert categories, and market rate benchmarks
• Contribute to ICP refinement by sharing client feedback patterns, requirement gaps, and vertical-specific delivery challenges

IDEAL CANDIDATE PROFILE

Must-Have Qualifications

• 46 years of experience in recruitment, talent delivery, or talent operations with at least 2 years in a client-facing or account delivery role
• Proven experience managing a recruitment pod/team of 3+ members with direct accountability for pod-level delivery metrics
• Strong understanding of technical/specialized hiring: AI/ML engineers, domain experts (medical, legal, finance), or niche technology roles
• Demonstrated ability to manage 5+ concurrent client accounts with SLA-driven delivery expectations
• Experience with ATS platforms (Greenhouse, Lever, Workday) and CRM/sourcing tools (LinkedIn Recruiter, Naukri, HireRight)
• Excellent verbal and written English communication regular calls with US, UK, and APAC client stakeholders
• Track record of building structured recruitment processes from scratch or significantly improving existing ones

Preferred Qualifications

• Prior experience in AI data services, data annotation/labeling, RLHF, or AI training companies (Scale AI, Appen, Labelbox, Alignerr, or similar)
• Familiarity with credentialed expert hiring: sourcing from professional bodies (Bar Councils, Medical Councils, ICAI) or academic institutions (IITs, AIIMS, NITs)
• Experience with the expert/gig economy model managing large pools of freelance/contract domain experts across geographies
• Exposure to compliance frameworks relevant to AI data work: ISO 27001, GDPR, HIPAA, or SOC 2
• Experience building employer branding and talent marketing campaigns for niche expert pools

Behavioral & Leadership Competencies

• Ownership Mindset: You treat your pod as your own business you anticipate client needs and act without waiting for instructions
• Client Empathy: You understand that behind every requirement is an AI project with real deadlines and stakes you deliver with urgency and precision
• Data-Driven Decision Making: You use pipeline data, conversion metrics, and market signals not gut feel alone
• Coaching Orientation: You actively develop your pod members you invest time in upskilling, feedback, and career growth
• Resilience Under Pressure: You can handle parallel client escalations, tight timelines, and shifting priorities without quality degradation
• Process Discipline: You believe scalable delivery comes from repeatable, documented processes not heroics

Interested? Apply now or tag someone who'd be a great fit!

Sourcebae is an equal opportunity employer. We value diverse perspectives and are committed to building an inclusive team.

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