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Apertera is seeking a senior technical lead to drive automation across Professional Translation workflows, including intake, quoting, project setup, and QA. You will own the automation roadmap and lead a small agile team focused on localization tooling and data-driven improvements.
The role requires deep understanding of translation operations, linguistic assets, and system integrations with Plunet, Phrase, HubSpot, and Jira to deliver auditable, scalable solutions. Based in Toronto, Ontario.
Apertera is building a dedicated Language Technology & Workflow Automation team to help accelerate and scale how our Professional Translation business operates. This team will improve productivity, quality, and scalability across intake, quoting, project setup, translation workflows, linguistic assets, QA, reporting, and system integrations.
We are looking for a senior technical lead who can understand translation operations, drive automation initiatives, and help establish and manage a small agile team that turns operational friction into reliable, auditable tooling.
This role sits at the intersection of translation operations, language technology, automation, and AI-enabled workflow design. Much of our work is high-precision financial, legal, and securities translation, where quality, confidentiality, repeatability, and auditability matter. The role is not about applying AI for its own sake; it is about using the right combination of language technology, workflow automation, linguistic assets, operational data, and AI-enabled tools to improve real production workflows.
Own and prioritize the roadmap for Professional Translation (PT) workflow automation and internal tooling, ensuring initiatives are practical, scalable, and tied to clear operational outcomes.
Identify and deliver automation across the production lifecycle: intake and quoting, file analysis, project setup, assignment logic, vendor and resource workflows, QA tracking, and production reporting.
Build and operationalize automation and workflow orchestration across Professional Translation, connecting production systems into reliable, auditable workflows that reduce manual effort and meet client confidentiality and security requirements.
Treat translation memories, terminology, and related linguistic assets as core productivity and quality assets.
Drive improvements in TM leverage, fuzzy-match optimization, terminology consistency, and reuse, especially in high-repetition financial, legal, and securities content.
Direct specialist work related to maintaining, segmenting, improving, and measuring the performance of linguistic assets.
Unlock value from operational data across Plunet, Phrase, HubSpot, Jira, ATAI, finance, QA ticketing, and other tools to improve visibility, decision-making, and measurable impact.
Improve data flow and integration across core production systems to reduce duplicate entry, strengthen operational visibility, and support consistent handoffs.
Partner with the broader Technology organization on architecture, security, and shared infrastructure so Professional Translation tooling fits the company’s wider technical environment.
Help establish and manage a small agile team focused on localization engineering, automation, linguistic data, analytics, and workflow tooling, in close partnership wi