Welocalize

Analyst

• Owns client-specific quality programs, performance metrics, and escalations while leading team development and cross-functional coordination
• Set client QA strategies (sampling design, audit methods, acceptance thresholds) and adapt to scope/volume changes
• Run root-cause analyses; drive CAPA plans with owners, timelines, and effectiveness checks
• Plan training & certification for raters/annotators and coordinators; track completion and impact
• Maintain dashboards (throughput, accuracy, productivity, cost) and convert insights into actions
• Manage client escalations; present options, trade-offs, and recovery paths
• Standardize SOPs, templates, and checklists; remove bottlenecks
• Pilot small automations (macros, templates, RPA/API handoffs) with Ops Tech; scale wins
• Coach P1s and C2–C3 on tools, workflows, and QA craft
• Ensure compliance/security across data handling and platform access

Quality Analyst

Translator

• Assess the scope of each project and complete a project quote
• Communicate as needed to the Project Management team
• Ensure that the client’s requests are met in a timely manner
• Support the project completion process through the development and use of language tools and pilot processes.

Localization Quoting Specialist

Business Analyst

• Analyze the AI Agentic framework (initially focused on Relay, with potential scope for Midgard and other applications) to determine what should be deployed, newly built, or adapted for specific accounts and use cases.
• Identify process gaps and areas that can be optimized with AI tooling; collaborate with product and development teams to design new tools and agentic workflows.
• Conduct investigations and analysis of failed AI prompts to identify root causes and improvements.
• Pilot new AI agents for upcoming programs, test outputs, and optimize prompts to improve results.
• Monitor production daily and track the status of deployed AI agents.
• Identify gaps and propose enhancements to strengthen overall AI-enabled workflows.
• Collaborate closely with the development team to iterate, refine, and implement improvements.
• Improve prompts for AI agents based on agent results and ongoing analysis of system health.
• Map and analyze existing workflows across business units, identifying inefficiencies, inconsistencies, and edge cases.
• Develop and maintain clear, detailed documentation—process maps, SOPs, functional requirements—suited for both business and technical stakeholders.
• Identify opportunities for standardization and automation, working with engineering and product teams to define what should be automated, how, and why.
• Support the development of logic and structured inputs for intelligent systems (including rule-based and language model-based automations).
• Leverage SQL and other data tools to validate assumptions, quantify opportunities, and measure the impact of changes.
• Collaborate across functional teams to ensure new processes are both operationally sound and aligned with data architecture and systems.
• Contribute to maturing the overall process discipline within the org by introducing structured methods and mentoring others informally through collaboration.

Senior Business Process Analyst

Project Manager

• Owns quality assurance, workforce planning, and training programs for AI training data delivery on multiple small projects or one large strategic project.
• Improves performance, compliance, and processes across multiple projects.
• Partners with the Senior Quality Analyst to share accountability for client outcomes and team performance.
• Monitor QA plans in partnership with Quality team (sampling, audits, acceptance criteria).
• Track risks of defects, lead corrective actions, and prevent recurrences.
• Forecast capacity needs; schedule shifts and handoffs; align vendors and internal teams to meet volume and turnaround targets.
• Build and deliver training and certification for raters/annotators and coordinators; update materials as guidelines change.
• Maintain dashboards for throughput, quality, productivity, and cost; turn data into clear actions for improvement.
• Ensure policy adherence on data handling, privacy, safety, and platform access; support audits and remediation.
• Standardize SOPs and checklists; remove bottlenecks; pilot small changes that improve speed, quality, or cost.
• Join client reviews with the Quality Manager and PMs; explain quality results, risks, and next steps.
• Coach Coordinators (C2–C3) and Associate PMs (P1) on QA, workflows, and tools; support onboarding and skills growth.
• Manage employee attendance, conduct individual performance reviews and support contract renewals.
• Keep risk/issue logs; manage change requests that impact quality, capacity, or training; escalate high-impact items with options.

Project Manager – Gen AI Data Operations

• 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
• 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
• Identify manual steps; pilot automation with Ops Tech
• Set expectations, SLAs, and playbooks; review performance and drive improvements or changes
• Build and track budgets, burn, and margins; manage change orders to protect financial outcomes
• Lead root-cause and action plans; escalate high-impact items
• Lead planning and QBR-style reviews; explain results, risks, and next steps
• Gather feedback, provide training and coaching, foster team cohesion, and conduct performance reviews

Senior Project Manager – Gen AI Data Operations

Strategy

• Drive high impact initiatives at the intersection of AI, human data, and enterprise customers
• Collaborate closely with Sales, Product, Delivery, and Engineering to design solutions
• Own strategic customer engagements from discovery through delivery and expansion
• Act as a trusted technical advisor to enterprise clients in AI, ML, NLP, and data-driven organizations
• Lead and own internal initiatives from concept to execution (no hand-offs, no silos)

Senior Technical Strategy Lead

Operations

• The Squad Lead is responsible for delivering language services and solutions to Welocalize accounts.
• The Squad Lead manages or directs a team (I.e., squad) that works together for delivering language services.
• The squad lead engages with account teams to understand client requirements, engages internal and external resources in the fulfilment of those requirements, crafts and delivers client solutions.
• Measure and report OKR result progress on a weekly basis; proactively identify actions and opportunities to achieve and exceed objectives.
• Responsible for performance management (supervision, coaching, career development, and people activities such as time off and expense approval) of direct reports.
• Design, implement, and deliver language services solutions.
• Monitor financial and operational metrics (KPIs).

Language Operations Lead – Japanese

Content Marketing Manager

• Localize, translate and adapt content of various categories (such as music, film, gaming and sports content) while adhering to writing style guide and guidelines
• Write new copy for a range of multimedia products such as music, TV and apps, video on-demand and game subscriptions services.
• Perform regular linguistic review of their own work as well as the work performed by other members of the localization team for all content types.
• Copy-edit and fact check content to ensure accuracy of content
• Perform LQA (Localization QA) testing of any content published on live platforms (music and app descriptions, marketing material and marketing campaigns).
• Conducts market-specific research on local content treatment, content, product and terminology trends and best localization practices for the target audience in their market.
• Transcribe spoken content such as lyrics
• Report on data and/or assets across a broad scope of media and content types.
• Review linguistic assessments, create training material and documents for new projects and ensure that other counterparts of the localization team are fully trained on terminology, style and best practices
• Collaborate with global language team via virtual meetings, emails on content review tasks to ensure calibrating terminology and style, understanding trends and market specific insights, translations based on the market team's needs.

Spanish Multimedia Content Reviewer – Latin America

Digital Marketing

• Work globally with production, marketing, operations management, and leadership to support existing and acquire new business
• Transactional responsibility and oversight for key customer accounts.
• Research and identify new business opportunities and support BDDs with data analysis.
• Assist building and participate in presentations to senior managers and decision makers.
• Draft and deliver proposals, with assistance from the wider Sales Team.
• Develop execute and maintain key account plans and reporting.
• Prospecting new clients to develop and maintain a healthy working relationship with Welocalize.
• Working within and maintaining customer data in Salesforce.
• Coordinating / responding to RFP /RFQ/RFI responses.
• Collaborating with the global team to define internal and external expectations.

Digital Marketing Business Development Manager

Platform Engineer

• Responsible for configuring, deploying, and validating Pantheon-based technology solutions.
• Execute build tasks in Pantheon and support UAT to ensure seamless operational adoption.
• Setup, configure, and validate Pantheon solutions, including CSG templates and automation agents.
• Conduct troubleshooting, log analysis, and issue recreation to diagnose and resolve defects.
• Collaborate with Delivery, Quality, Engineering, and Product teams to identify improvement areas.

• Setup, configure, and validate Pantheon solutions - including CSG templates, Program designs, automation agents, and integrations - based on the design and implementation plan provided by the Solutions Architect.
• Execute API endpoint integrations and support data exchange between internal systems and external tooling.
• Build and maintain reusable components, scripts, and configuration templates to improve delivery efficiency.
• Update SOPs and documentation for accuracy and knowledge sharing.
• Fulfill assigned development and configuration tasks within an Agile framework.
• Review Kanban boards, sprint timelines, and backlog items; proactively claim and progress assigned work.
• Provide accurate task updates, documentation of work performed, and risk escalation where required.
• Perform and support User Acceptance Testing (UAT) with Operations teams to validate new solutions and enhancements.
• Conduct troubleshooting, log analysis, and issue recreation to diagnose and resolve defects.
• Support quality checks prior to production deployments, ensuring solutions meet requirements.
• Partner with Integration Operations to review and resolve bug tickets, system errors, and workflow issues.
• Collaborate with Delivery, Quality, Engineering, and Product teams to identify improvement areas, clarify requirements, and ensure solution readiness for production.
• Provide technical guidance to operations teams during rollout and early adoption periods.

• Owns quality assurance, workforce planning, and training programs for AI training data delivery on multiple small projects or one large strategic project.
• Improves performance, compliance, and processes across multiple projects.
• Partners with the Senior Quality Analyst to share accountability for client outcomes and team performance.
• Monitor QA plans in partnership with Quality team (sampling, audits, acceptance criteria).
• Track risks of defects, lead corrective actions, and prevent recurrences.
• Forecast capacity needs; schedule shifts and handoffs.
• Build and deliver training and certification for raters/annotators and coordinators; update materials as guidelines change.
• Maintain dashboards for throughput, quality, productivity, and cost; turn data into clear actions for improvement.
• Ensure policy adherence on data handling, privacy, safety, and platform access; support audits and remediation.
• Standardize SOPs and checklists; remove bottlenecks; pilot small changes that improve speed, quality, or cost.
• Join client reviews with the Quality Manager and PMs; explain quality results, risks, and next steps.
• Coach Coordinators (C2–C3) and Associate PMs (P1) on QA, workflows, and tools; support onboarding and skills growth.
• Keep risk/issue logs; manage change requests that impact quality, capacity, or training.

Project Manager – Generative AI Data Operations

Program Manager

• Leads a program of AI training data projects at scale.
• Owns program-level strategy and delivery, manages a cross-functional team, and is the primary owner of the client relationship for the program.
• Partners closely with the Lead Quality Manager to keep quality consistent and drive continuous improvement across high-volume operations.
• Define program goals, roadmap, milestones, and operating model across multiple projects and vendors.
• Lead a delivery team (PMs, Coordinators) with clear goals, capacity plans, coaching, and performance feedback.
• Act as the day-to-day executive contact; run governance, planning, and QBR-style reviews; align scope, priorities, and change.
• Co-own quality outcomes with the Manager of Quality; align on guidelines, audits, acceptance criteria, and corrective actions.
• Plan and secure rater/annotator capacity; optimize shifts, handoffs, automation, and tooling to meet high-volume targets.
• Build and manage budgets, margins, and change orders; ensure commercial and delivery commitments stay aligned.
• Maintain program RAID; lead root-cause analyses and remediation; escalate high-impact items with options and impact.
• Standardize SOPs, templates, and dashboards; pilot and scale automation with Ops Tech.
• Ensure policy adherence for data handling, privacy, and platform access across the program.
• Coordinate with Sales/Account, Quality, Operations, and Vendor Management to meet client and business goals.

Lead Program Manager – Generative AI Data Operations

• Project planning, scoping, requirements gathering and validation with client
• Identifying and working with the relevant client and internal stakeholders to plan and resource projects appropriately in terms of quality, cost, and schedule requirements
• Risk analysis and contingency planning (plan-do-check-act cycle)
• Leading the internal and external team to successful execution and delivery of client projects
• Creating schedule and monitoring timeliness of delivery
• Managing the budget and controlling project costs
• Establishing and nurturing relationships with the customer, internal teams and external suppliers
• Overseeing project activities and ensuring resolution to any problems that may arise (corrective and preventive action)
• Actively seeking ways to optimize delivery, client satisfaction, quality and profitability
• Reporting, both in written and verbal form, to internal and external stakeholders regarding project scope, financials, progress and status, formally and on an ad-hoc basis as required
• Ensuring finance systems are kept accurate and up to date
• Process documentation and knowledge management
• Ensuring profit of project is maintained through the management of margins

Localization Project Manager

QA Engineer

• Proofreading and editing content already localized to native language
• Translating content from English to native language
• Checking UIs for functional issues
• Conducting test cases, identifying localization bugs, and reporting them

Quality Analyst

Localization Quoting Specialist

Senior Business Process Analyst

Project Manager – Gen AI Data Operations

Senior Project Manager – Gen AI Data Operations

Senior Technical Strategy Lead

Language Operations Lead – Japanese

Spanish Multimedia Content Reviewer – Latin America

Digital Marketing Business Development Manager

Platform Engineer

Platform Engineer

Project Manager – Generative AI Data Operations

Lead Program Manager – Generative AI Data Operations

Localization Project Manager

Linguistic QA Tester, Proofreader