Robotics Senior Project Manager

Welocalize•San Francisco, CA

1d•Remote

About The Position

This role involves overseeing multi-project portfolios for AI training data programs, leading delivery and scale through capacity planning, vendor management, and process automation. The Senior Project Manager ensures consistent quality across projects, drives performance improvements, and collaborates closely with the Sr. Quality Analyst. The position focuses on delivering and scaling robotics data operations. Welocalize is a leading technology-enabled provider of translation, localization, and AI-driven content solutions, helping businesses communicate, innovate, and grow globally. They specialize in complex and regulated industries, delivering precise, scalable multilingual content through advanced AI technologies and expert human talent, utilizing their AI-enabled OPAL platform for translation workflows in over 300 languages. Welocalize holds 7 ISO certifications and is headquartered in New York with offices globally.

Requirements

Bachelor’s degree or equivalent experience in business, operations, data/engineering, or similar
2–3 years leading multi-project portfolios or large multi-workstream programs in AI data and robotics
Background in capacity planning, vendor coordination, and quality systems
Portfolio planning and governance across several projects at once
Clear communication with senior clients and internal leaders; runs planning and QBR-style reviews
Strong use of spreadsheets, PM/task boards, and basic BI
Sound judgment on scope, time, cost, and quality trade-offs
Negotiation and escalation to resolve risks, issues, and change
Coaching mindset; guides P1 PMs and C2–C3 Coordinators
Comfortable working with global, distributed teams (intermediate to advanced English)

Nice To Haves

Experience piloting or scaling process automation
Familiarity with SQL/ETL concepts
Near-native English with strong writing and editorial skills
Hands-on experience with generative AI tools (text, voice, or video)
Background in QA testing, rubric design, or AI safety/ethics evaluation
Familiarity with data-annotation platforms and model-evaluation tools
Ability to interpret code, datasets, and system workflows at a conceptual level (no coding required)
Able to work independently and manage workflows effectively in a remote environment
Multilingual ability beyond English

Responsibilities

Oversees multi-project portfolios for AI training data programs.
Leads delivery and scale: capacity planning, vendor management, and process automation.
Ensures quality is consistent across projects, drives performance improvements, and plans work jointly with the Sr. Quality Analyst.
Oversees a portfolio of programs that deliver and scale robotics data operations, including capacity planning, vendor management, and process automation.
Plan and run a group of projects (collection, labeling, evaluation) end-to-end; set priorities, milestones, and handoffs across time zones.
Run cadence (status, risk, exec updates); align scope and budget with account and operations leads.
Forecast and secure rater/annotator capacity; balance shifts, throughput, and skills across vendors and internal teams.
Partner with the Sr. Quality Analyst on acceptance criteria, audits, and corrective actions; keep guidelines aligned across projects.
Identify manual steps; pilot automation with Ops Tech (templates, scripts, RPA, API-driven flows); scale what works.
Set expectations, SLAs, and playbooks; review performance and drive improvements or changes as needed.
Build and track budgets, burn, and margins; manage change orders to protect financial outcomes.
Lead root-cause and action plans; escalate high-impact items with options and impact.
Lead planning and QBR-style reviews; explain results, risks, and next steps in clear terms.
Coach P1 PMs and C2–C3 Coordinators on planning, QA, and tools; support onboarding and skills growth (no formal line management required).
Ensure data handling, privacy, and access controls are followed across all workstreams.
Gather feedback, provide training and coaching, foster team cohesion through team-building activities, conduct performance reviews, and support staffing and retention efforts.
Collaborate with PST, Finance and recruiters for onboarding, offboarding, and addressing employee needs, while maintaining clear communication and updated SOPs to guide team.
Work closely with the recruiting team to manage hiring efforts by communicating requirements (e.g., language needs), upcoming projects, and candidate statuses.
Review, evaluate, and select qualified candidates from recruiters and decide on next steps (e.g., assessments, interviews, or client presentation).