IDC

Technical Product Lead

IDC

full-time

Posted on:

Location Type: Remote

Location: Canada

Visit company website

Explore more

✨ AI Apply
Apply

Salary

💰 CA$180,000 - CA$225,000 per year

Job Level

Senior

About the role

  • Own the product vision, roadmap, and backlog for the persistent memory and proactive intelligence
  • Define memory scope policy: what the platform remembers, what it doesn't, and the boundary between personalization and PII
  • Define the product model for proactive intelligence: materiality thresholds, briefing content scope, delivery channel preferences, and opt-in/opt-out design
  • Author detailed requirements and acceptance criteria for memory tiers (compactification, cross-conversational retrieval, extractive memory) and living intelligence features (change detection, briefing composition, delivery routing)
  • Make daily prioritization and scope decisions with the engineering team
  • Define quality criteria for memory accuracy, retrieval relevance, and briefing usefulness — and work with the Quality & Evaluation function to make them measurable
  • Collaborate with the Channel & Integration Pod to ensure memory and proactive delivery work seamlessly across web, MCP, email, and Slack/Teams
  • Work with legal and compliance stakeholders on data governance, retention policy, and user control requirements
  • Represent the pod's roadmap and progress to leadership

Requirements

  • 6+ years of product management experience, with significant time spent on AI/ML-powered products, data platforms, or personalization systems
  • Experience defining product strategy for systems that manage user data, preferences, or behavioral context — and navigating the privacy and governance questions that come with them
  • Track record of working as an embedded product lead within an engineering team, owning a backlog and making daily prioritization decisions
  • Ability to translate ambiguous product goals into concrete requirements, acceptance criteria, and quality metrics
  • Strong technical literacy — you can engage with engineers on system design, data models, and architecture tradeoffs without needing to write the code yourself
  • Experience working across multiple teams or pods, defining interfaces and dependencies between workstreams
  • Clear, structured communication with both engineering teams and executive stakeholders
  • Turns complex technical concepts into clear, actionable language that drives alignment and informed decision-making with non-technical stakeholders
  • Proven ability to make well-reasoned, defensible decisions that balance trade-offs across scope, feasibility, and impact.
  • Passion for using AI tools to sharpen product thinking — from requirements and PRFAQs to Jira tickets — and forming a clear, independent point of view.
  • Preferred Qualifications: Experience with AI personalization, recommendation systems, or memory/context systems
  • Background in event-driven or proactive product experiences (alerts, notifications, monitoring dashboards)
  • Familiarity with LLM-based systems and the unique product challenges they present (non-determinism, evaluation, prompt engineering)
  • Experience navigating data privacy and governance frameworks (GDPR, data retention, user consent models)
  • Background in enterprise B2B product management
Benefits
  • 15 vacation days per year (increases with tenure; carryover allowed)
  • 10 paid sick days per year
  • 1 week paid new parenting leave
  • Flexible work options (remote, part-time, flexible hours)
  • Health, dental, vision, and paramedical coverage for you and your family
  • $1,600 annual healthcare spending account
  • Employee Assistance Program for counseling and support
  • Best Doctors medical second opinions
  • Life, AD&D, and long-term disability insurance
  • Retirement savings plan with company match (up to 4% of salary)
  • $75/month technology allowance for home office or phone expenses
  • Company-paid cell phone plan
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
product managementAI/ML-powered productsdata platformspersonalization systemsrequirements authoringacceptance criteriamemory accuracydata modelsarchitecture tradeoffsevent-driven product experiences
Soft Skills
clear communicationstructured communicationdecision-makingcollaborationtranslating technical conceptsprioritizationstakeholder engagementindependent point of viewdefensible decision-makingalignment