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 and robotics teams. Our work sits at the intersection of software, operations, and real-world execution — where reliability, speed, and quality all matter.
We operate globally, managing high-throughput workflows across multiple regions and teams.
The Role
We’re hiring a Senior Operations Lead to own and scale core operational systems across Mecka.
This is a high-ownership role responsible for driving throughput, quality, and reliability across our global operations, including data labeling, data capture, and delivery workflows.
You will work closely with leadership, engineering, and regional teams to ensure operations run efficiently, scale effectively, and consistently meet performance targets.
This role is ideal for someone who can operate at both a strategic and execution level — building systems while ensuring day-to-day operations perform at a high level.
Responsibilities
Global Operations Ownership
Own and oversee end-to-end operations across multiple regions and hubs
Ensure teams are operating at high performance, reliability, and consistency
Standardize processes and ensure alignment across global teams
Identify gaps and drive improvements across the entire operational stack
Throughput, Quality & Performance
Drive improvements in throughput, output quality, and SLA adherence
Define and track key metrics across operations
Build systems to ensure consistent performance and accountability
Identify bottlenecks and implement solutions to improve efficiency
Systems & Process Design
Design and implement scalable operational workflows and systems
Improve processes across data labeling, data capture, and delivery pipelines
Partner with engineering to build tools that improve operational efficiency
Ensure systems scale as volume and complexity increase
Team Leadership & Management
Manage and support regional leads and operations managers
Set clear expectations, performance standards, and accountability frameworks
Build a culture of high performance and ownership across teams
Identify talent gaps and support hiring and team scaling
Cross-Functional Execution
Work closely with:
Engineering
Product
Customer teams
Ensure alignment between technical systems and operational execution
Support customer-facing projects and ensure successful delivery
Reporting & Continuous Improvement
Build dashboards and reporting for operational performance
Provide clear visibility into throughput, quality, and delivery metrics
Continuously identify opportunities for optimization and cost efficiency
Who You Are
Required Experience
6+ years of experience in operations, program management, or similar roles
Experience managing large-scale, distributed operations or teams
Proven ability to build and scale operational systems
Strong understanding of performance metrics, SLAs, and operational KPIs
Experience working cross-functionally with engineering and product teams
Strong Signals
Experience in high-throughput environments (data labeling, marketplaces, logistics, BPO, etc.)
Experience managing global teams across multiple regions
Strong analytical mindset with ability to use data to drive decisions
Experience building 0 → 1 operational systems in a startup environment
Ability to operate in fast-scaling, ambiguous environments
You Are
Highly execution-focused and outcome-driven
Strong leader who can drive performance and accountability at scale
Structured thinker who can turn complexity into clear systems
Comfortable operating at both high-level strategy and detailed execution
Relentless about quality, speed, and reliability
Why This Role
Own and scale core operations of a fast-growing global company
Direct impact on company performance, delivery, and customer outcomes
Work across multiple teams, regions, and problem spaces
High visibility and close collaboration with leadership
Opportunity to build and define how operations scale globally
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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