Technical Product Lead driving AI-powered product vision and strategy at IDC. Collaborating with teams to enhance persistent memory and proactive intelligence on the platform.
Responsibilities
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
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