7 дней назад
Senior Product Manager, Intelligence (AI)
151 000 - 239 000CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Product Manager, Intelligence (AI): Building and managing AI-powered marketing intelligence products, including recommendations, optimization, and intelligent decisioning, with an accent on model quality, trustworthy experiences, and measurable customer uplift. Focus on translating complex algorithms into simple marketer workflows, improving model reliability, defining adoption and revenue metrics, and launching products with cross-functional teams.
Location: Toronto; hybrid work
Salary for candidates based in the United States: CA$151,000–CA$239,000 per year. Expected OTE: CA$168,000–CA$265,000 per year, including bonus or commission.
Company
is a customer engagement SaaS platform that helps brands deliver personalized experiences through cross-channel messaging, journey orchestration, and AI-powered decisioning and optimization.
What you will do
- Own the vision, strategy, and roadmap for the Intelligence product area.
- Partner with engineers to improve model accuracy, reliability, fallback behavior, and customer uplift.
- Define and track adoption, SKU attach, retention, uplift, and revenue-impact metrics.
- Make AI-powered features transparent and trustworthy for marketers and go-to-market teams.
- Work with engineering and product design to deliver new products and features.
- Lead launches and manage expectations across Product Marketing, Customer Success, and other stakeholders.
Requirements
- 5+ years of Product Management experience.
- Strong product judgment for turning complex algorithms into simple, trustworthy marketer experiences.
- Strong communication, storytelling, collaboration, organization, and persuasion skills.
- Ability to drive projects to completion, manage multiple priorities, and work cross-functionally.
- Experience with experimentation and measurement, including A/B testing, holdout groups, uplift, and model tradeoffs.
Nice to have
- Experience shipping ML or AI-powered products such as recommendations, personalization, optimization, or decisioning.
- Experience with recommendation systems, multi-armed bandits, or reinforcement learning.
- Performance or lifecycle marketing experience.
- Experience in B2B SaaS or at a high-scale technology startup.
Culture & Benefits
- Hybrid ways of working with a curated in-office experience.
- Equity grants, retirement and employee stock purchase plans, and flexible paid time off.
- Medical, dental, vision, life, disability, fertility, and equal paid parental leave benefits, varying by location.
- Professional development through career pathing, learning platforms, and a yearly learning stipend.
- Collaborative, transparent, inclusive culture with employee resource groups and community volunteering opportunities.
Hiring process
- AI-assisted tools may be used to review application materials, schedule and record interviews, and summarize interview notes.
- Recruiting teams remain responsible for hiring decisions, and candidates may request an alternative or manual review process where applicable.
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