About The Position

This Senior Manager role leads multi-team robotics lab operations and physical AI data programs at scale. The position owns end-to-end operational strategy and execution across lab environments, ensuring high-quality, safe, and efficient data collection and evaluation. It drives operational excellence through standardization, analytics, and technology, while maintaining strong client relationships and developing high-performing teams, and partners closely with Quality and Safety leadership for consistent performance in complex, real-world environments. Welocalize is a leading technology-enabled provider of translation, localization, and AI-driven content solutions, helping businesses communicate, innovate, and grow globally. Specializing in complex and regulated industries, Welocalize delivers precise, scalable multilingual content through a powerful combination of advanced AI technologies and expert human talent. At the core is Welocalize’s AI-enabled OPAL platform, which transforms translation workflows by integrating machine translation (MT) and large language models (LLMs) to provide fast, accurate, and culturally relevant content in over 300 languages. With a commitment to excellence, Welocalize holds 7 ISO certifications and is headquartered in New York with offices all over the globe.

Requirements

  • Bachelor’s degree or equivalent experience in business, operations, engineering, robotics, or a related field.
  • 5–8 years in operations or program delivery in robotics, physical AI, AI data operations, or adjacent domains.
  • 4–6 years in operations leadership, managing managers and multi-team environments.
  • Experience running onsite or lab-based operations involving hardware, data collection, or real-world testing environments.
  • Proven track record driving standardization, analytics, tooling/automation, and vendor performance at scale.
  • Program and portfolio planning across complex, multi-team environments.
  • Strong people leadership: goal setting, coaching, delegation, and performance management.
  • Clear communication with senior stakeholders, engineers, and frontline teams.
  • Strong analytical mindset; ability to translate data into operational decisions.
  • Experience with spreadsheets, PM tools, and dashboards.
  • Strong quality and safety mindset with practical application of SOPs, QA frameworks, and compliance standards.
  • Sound judgment across scope, time, cost, quality, and safety tradeoffs.

Nice To Haves

  • Familiarity with robotics systems (sensor data, telemetry, ROS concepts).

Responsibilities

  • Translate business and engineering goals into operating plans, OKRs, and execution models across robotics lab environments (humanoid, teleoperation, motion capture, simulation).
  • Build and implement SOPs, lab playbooks, and workflows to reduce variability and drive consistent performance across teams and sites.
  • Define and own core dashboards and KPIs (throughput, quality, utilization, safety); translate data into actionable improvements.
  • Partner with Ops Tech and Engineering to improve tooling, lab systems, and automation (e.g., workflows, integrations, data pipelines).
  • Co-own operational excellence with Quality and Safety Leads; align on guidelines, audits, incident prevention, and continuous improvement.
  • Plan and optimize staffing across lab environments; manage shifts, coverage, onboarding, and certification for operators and analysts.
  • Set expectations and SLAs across vendors; monitor performance, drive improvements, and support scale decisions.
  • Support executive-level governance, planning, and reviews; ensure delivery aligns with scope, quality expectations, and evolving requirements.
  • Build and manage budgets, forecasts, margins, and change orders; align commercial models with operational delivery.
  • Own operational risk management; ensure adherence to safety standards, data handling policies, and audit readiness.
  • Manage L1 managers and senior ICs; hire, coach, and build a strong leadership bench to support scaling operations.
  • Coordinate across Engineering, Quality, Safety, Ops Tech, and Vendor Management to deliver against client and business goals.
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