About Mecka AI
Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies. Our datasets power models that learn from the physical world — enabling robots to understand, reason, and act in real environments.
We operate across multiple geographies and are scaling quickly — building a global team spanning operations, engineering, and research.
The Role
We’re hiring a Senior Global HR — Hiring & Performance to own how we hire, evaluate, and drive performance across our global teams.
This role is responsible for scaling international hiring pipelines, managing team performance across regions, and building clear incentive structures tied to output and quality.
You will work across multiple hubs to ensure we are hiring the right people, setting clear expectations, and consistently driving high performance.
Responsibilities
Global Hiring & Talent Pipeline
Own hiring across international teams and hubs (operations, labeling, field, etc.)
Build and scale recruiting pipelines across regions (NA, LATAM, SEA, etc.)
Partner with local leads to ensure consistent hiring quality and standards
Design and improve interview processes, assessments, and selection criteria
Manage recruiting partners, agencies, and internal hiring workflows
Performance Management
Own performance management systems across global teams
Define clear KPIs, output metrics, and quality benchmarks by role
Implement processes for tracking, reviewing, and improving performance
Work with managers to identify top performers and address underperformance
Drive consistent performance standards across all regions and teams
Incentives & Compensation Structures
Design and manage incentive structures tied to output, quality, and reliability
Align compensation with performance and operational goals
Build frameworks for bonuses, variable pay, and performance-based rewards
Continuously optimize incentives to drive throughput and quality improvements
Global Team Operations
Work closely with regional leads to ensure teams are staffed, trained, and performing
Monitor performance across hubs and identify gaps or inefficiencies
Support scaling of new geographies and operational expansion
Ensure consistency in how teams are managed and evaluated globally
Systems & Reporting
Build and maintain dashboards for hiring, performance, and retention metrics
Track key metrics such as throughput, quality, retention, and SLA adherence
Provide regular reporting to leadership on team performance and hiring progress
Improve systems and tooling for tracking and managing global workforce performance
Who You Are
Required Experience
5+ years of experience in HR, People Ops, Talent, or Operations roles
Experience managing high-volume hiring or global recruiting pipelines
Experience working with distributed or international teams
Strong understanding of performance management and operational metrics
Experience building or managing incentive or performance-based compensation systems
Strong Signals
Experience in operations-heavy environments (BPO, marketplaces, data labeling, logistics, etc.)
Experience managing teams across multiple countries or regions
Strong analytical mindset with experience using metrics to drive performance
Experience working closely with operations and delivery teams
Ability to operate in fast-scaling, high-throughput environments
You Are
Highly execution-focused and operationally strong
Comfortable managing global teams and distributed workforces
Strong at driving accountability and performance at scale
Data-driven and focused on measurable outcomes
Able to move quickly and solve problems in fast-moving environments
Why This Role
Direct ownership over global hiring and team performance
High impact on output, quality, and operational efficiency
Work closely with leadership and regional operators
Help scale a global workforce across multiple regions
Build systems that directly impact company performance
Mecka is the data and deployment layer for physical AI — capturing, structuring, and evaluating real-world activity into datasets robotics and AI teams can train on.
Key team members
Brian Barrett
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