Назад
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4 дня назад

Product Delivery Analyst (AI)

32$
Формат работы
remote/hybrid
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Product Delivery Analyst (AI): Turning product strategy into iterative delivery through requirements, backlog management, workflow analysis, sprint coordination, and delivery metrics with an accent on UAT, defect triage, and cross-functional execution. Focus on mapping system interfaces, analyzing delivery KPIs, coordinating model releases or MLOps discussions, and improving feedback loops through retrospectives and root-cause analysis.

Location: Remote, with hybrid options in Toronto

Compensation: $32 per hour

Company

hirify.global is a Toronto-based Language Synthesis AI company developing technology that removes language barriers and enables access to information in any language.

What you will do

  • Lead discovery sessions and document user stories, data models, and acceptance criteria.
  • Maintain the product backlog, map system interfaces, and manage delivery dependencies.
  • Analyze workflows and data to improve processes, customer value, and delivery outcomes.
  • Partner with Product Owners and Scrum Masters to prepare sprint goals, monitor progress, and ensure increment completion.
  • Draft test scenarios, coordinate user-acceptance testing, triage defects, and validate functionality against requirements and compliance standards.
  • Report delivery status, risks, roadmap updates, KPIs, and process improvement opportunities to leadership and cross-functional partners.

Requirements

  • Pursuing or recently completed a Master’s degree in Engineering Management, Information Systems, Business Analytics, or a tech-focused MBA.
  • Experience with Agile practices, Jira or Azure DevOps, and writing testable user stories.
  • Proficiency in SQL, Python, or Excel for delivery metrics and dashboards.
  • Strong systems thinking, stakeholder coordination, UAT, experimentation, and root-cause analysis skills.
  • Ability to discuss AI model releases or MLOps in technical sessions and translate technical details into business impact.
  • Commitment of 30–40 hours per week for full-time participation or at least 15 hours per week for part-time participation.

Culture & Benefits

  • Work in a startup preparing for an IPO and gain insight into the process.
  • Work directly with senior management and advisory board members.
  • Take ownership of real projects with measurable outcomes.
  • Operate in a fast-changing environment with opportunities to learn and take on multiple responsibilities.
  • Duration is 520 hours: three months full-time or six months part-time.
  • Inclusive, respectful, and safety-conscious workplace.

Hiring process

  • Application followed by a first, second, and third interview.
  • Group discovery session and next-step form.
  • Contract signing and onboarding.

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