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2 дня назад

Technical Product Manager (AI)

130 000 - 160 000CAD
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
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
Technical Product Manager (AI): Owning data and AI product lines from problem definition through launch and iteration with an accent on enterprise discovery, technical requirements, delivery coordination, and measurable product outcomes. Focus on defining data quality and model reliability metrics, translating ambiguous business problems into product bets, and managing complex launches with engineering and data science.

Location: Toronto, Ontario, Canada; hybrid schedule with three days per week in the downtown office

Salary: CAD 130,000–160,000 per year

Company

hirify.global is a data and AI company that builds privacy-first AI, modern data infrastructure, and analytics products for enterprise clients across retail, healthcare, finance, energy, and the public sector.

What you will do

  • Own the roadmap, priorities, trade-offs, and outcomes for one or more data and AI product lines.
  • Run discovery with enterprise clients and internal stakeholders to identify and prioritize high-value problems.
  • Write product requirements including user stories, acceptance criteria, data contracts, edge cases, and definitions of done.
  • Partner with engineering, data engineering, and design to sequence delivery, resolve decisions, and lead sprint ceremonies.
  • Define and instrument success metrics covering adoption, data quality, time-to-insight, model reliability, and cost per outcome.
  • Manage launches end to end, including rollout plans, enablement, training, post-launch reviews, and stakeholder communication.

Requirements

  • 3–6 years of product management experience, including at least 2 years shipping data, analytics, platform, or AI-powered products.
  • Experience taking products from problem statement to production.
  • Strong technical fluency in architecture discussions, data models, APIs, integrations, and data pipelines.
  • Experience working with enterprise stakeholders and constructively challenging unsuitable requests.
  • Experience with Agile delivery and product tools such as Jira, Confluence, and Figma or equivalents.
  • Bachelor’s degree in Computer Science, Engineering, Business, or a related field, or equivalent practical experience.

Nice to have

  • Background in retail, commerce media, or retail media networks.
  • Familiarity with LLM products, including RAG, prompt orchestration, tool calling, evaluation frameworks, and guardrails.
  • Working knowledge of Databricks, Snowflake, or BigQuery and SQL.
  • Startup or client-facing product experience.

Culture & Benefits

  • Hybrid work model with three days per week in the Toronto office.
  • Health, dental, and vision insurance premiums fully covered for employees and dependents from the first day.
  • Learning and development resources for ongoing professional growth.
  • Opportunity to shape discovery practices, prioritization frameworks, and delivery rituals.

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