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Recruitment Lead

Sourcebae

Sagar · On-site Full-time Lead Yesterday

About the role

Position

Pod System Recruitment Lead - Client-Facing

Location

Indore, India

Experience

4-6 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 3-5

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 3-5 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 5-12 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

  • 4-6 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-dr

Requirements

  • 4‑6 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 responsibilities

Responsibilities

  • Build, lead, and mentor a pod of 3-5 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 by leveraging SAIRA for AI‑assisted vetting, LinkedIn Recruiter for sourcing, and CRM for pipeline management
  • Serve as the primary delivery point of contact for 5‑12 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 to position Sourcebae as a strategic supply partner
  • 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
  • Design and document the end‑to‑end Pod Operating Playbook with 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
  • Track competitive landscape and monitor rivals such as 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

Skills

LinkedIn RecruiterSAIRACRMKanbanSprintAI/MLData annotationRecruitmentTalent deliveryClient account management

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