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 #J-18808-Ljbffr