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Mercor

Automates candidate screening and matching

Senior HR Business Partner - Delivery

HR Generalist & Employee RelationsUpdated on Nov 14
Full-timeSan Francisco, CA, USA$180k - $240k /yr

About the Job

Requirements

  • Human data industry experience delivering human data or expertise for AI systems, such as AI training data, expert data, RLHF, model evaluation, data annotation or labeling, or related human data operations.
  • At least 8 years of strong HR business partner experience, including serving as the primary People partner to senior leaders and independently handling complex organizational and talent decisions.
  • Experience supporting operations or delivery organizations where performance is closely tied to customers, quality, speed, capacity and execution.
  • High-growth startup experience, including comfort with rapid organizational change, incomplete systems and ambiguous ownership.
  • Ability to understand operational conditions, distinguish symptoms from root causes, and make clear recommendations.
  • Ability to differentiate performance, invest in exceptional people and address weak performance directly.
  • Ability to coach managers and challenge experienced leaders when their management approach contributes to problems.
  • Ability to recognize high-potential talent, understand retention risks and help create growth opportunities.
  • Experience building talent, manager or organizational practices where little infrastructure existed.
  • Ability to stay close to the work and ensure recommended solutions are implemented effectively.
  • Ability to work in person from the San Francisco office five days a week.

Responsibilities

  • Advise Delivery leaders on talent, organization design, management, performance and workforce decisions as the organization scales.
  • Understand differences between teams, customers and types of work so that people recommendations reflect the actual business.
  • Help managers distinguish exceptional performance, strong performance and below-bar performance; ensure decisions are evidence-based and addressed promptly.
  • Identify high-performing SPLs, account leaders and other critical talent early, and work with leaders to create development opportunities through larger accounts, expanded scope, new problems, internal mobility or management opportunities.
  • Coach managers on feedback, expectations, team effectiveness, difficult conversations, performance issues and leadership behavior; directly challenge managers when needed.
  • Identify retention risks, understand their drivers—including scope, compensation, manager quality, account experience, career progression and external market pull—and work with leaders on interventions.
  • Partner on role clarity, organization design, succession, spans and layers, leadership changes, and talent movement between teams and accounts.
  • Identify when workload, account design, capacity or operating friction is creating talent problems, and work with Delivery leadership to address root causes.
  • Support leaders through performance concerns, conduct issues, organizational changes, role changes and exits with speed, consistency and sound judgment.
  • Run Delivery talent and performance mechanisms, adapting company-wide approaches for a fast-moving operating organization without unnecessary process.
  • Use talent, performance, retention and employee signals to identify changes and advise Delivery leadership where intervention is needed.
  • Build and improve new people mechanisms, manager tools and talent practices as business needs arise.

About the Company

Mercor

Automates candidate screening and matching

Mercor provides an AI-driven recruitment platform that automates key parts of hiring for both job seekers and employers. Job seekers upload their CVs and complete a 20-minute AI-led video interview, after which a proprietary language model generates detailed candidate profiles; employers receive automated resume screening, candidate matching, and initial interviews, with tailored AI interviews for specialized roles. The system uses a company-trained model to rank and recommend candidates by qualifications and predicted performance, and operates on a finder’s-fee revenue model with large-scale usage across software, operations, design, and other fields, including AI labs. Its goal is to speed up hiring while reducing bias and delivering better job-to-citizen matches.

Company size
201-500
Company stage
Series D
Total funding
$1.2B
Headquarters
Menlo Park, CA
Founded
2023

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