Job Description

About Alexa Translations:

Alexa Translations provides translation services in the legal, financial, and securities sectors by leveraging proprietary A.I. technology and a team of highly specialized linguistic experts. Unmatched in speed and quality, our machine translation engine is best-in-class and specifically trained for the French-Canadian market. If that wasn't enough, our technology is backed by two decades of award-winning client service.

About the Role:

We are seeking a Technical Product Owner to join our growing Product & Technology team. This individual will act as a critical link between our business goals and engineering execution. As a Technical Product Owner, you will define technical product requirements, prioritize the backlog, and work closely with cross-functional teams to deliver impactful features that enhance our Generative AI-based translation platform.

Responsibilities:

Own the technical product backlog

: Define, refine, and prioritize technical requirements to ensure alignment with business objectives and user needs.

Collaborate with stakeholders

: Act as the liaison between engineering, product management, linguistic operations, sales, and client success teams to gather requirements and validate technical feasibility.

Bridge product and engineering

: Translate high-level product strategies into clear, actionable user stories and technical specifications for development teams.

Support the development lifecycle

: Participate in Agile ceremonies (sprint planning, stand-ups, retrospectives, demos) and ensure smooth delivery of product iterations.

Ensure quality

: Partner with QA, data science, and engineering teams to define acceptance criteria and conduct user acceptance testing (UAT).

Monitor performance

: Leverage analytics and user feedback to continuously improve product features and system reliability.

AI integration

: Work with AI engineers to guide the technical roadmap for our Generative AI models and translation engine improvements.

Architecture SME:

The candidate will be required to have intimate knowledge of the full end-to-end platform and become the architecture Subject Matter Expert. This is required to expedite feasibility requests from product stakeholders.
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Qualifications

3+ years of experience as a Technical Product Owner, Solution Architect, or similar role in a SaaS or AI/ML environment. Understanding of APIs, data architecture, and cloud platforms (e.g., AWS, Azure). Strong understanding of Agile development methodologies. Background in computer science, engineering, or equivalent technical experience. Experience working with AI/ML products or Natural Language Processing (NLP) is a strong asset. Proven ability to write clear, detailed technical requirements and user stories. Excellent communication and collaboration skills across technical and non-technical teams. Familiarity with tools like Jira, Confluence, Figma, or similar. Experience as a SaaS software developer or equivalent technical experience.
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Nice to Have

Experience in the translation or localization industry. Working knowledge of Generative AI technologies (e.g., LLMs, prompt engineering, fine-tuning models).



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