IDC (International Data Corporation) is hiring a Technical Product Lead to own the product vision and strategy for our persistent memory and proactive intelligence pod. Your mission is to shape a platform that remembers users across sessions and proactively alerts them when the intelligence they care about changes. You will define what the platform remembers, how it surfaces that knowledge, and when it reaches out proactively.

What You'll Do

Own the product vision, roadmap, and backlog for persistent memory and proactive intelligence features.
Define the 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 and living intelligence features.
Make daily prioritization and scope decisions in collaboration with the engineering team.
Define quality criteria for memory accuracy, retrieval relevance, and briefing usefulness.
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.

What We're Looking For

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.
A 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 to engage with engineers on system design, data models, and architecture tradeoffs.
Experience working across multiple teams or pods, defining interfaces and dependencies between workstreams.
Clear, structured communication with both engineering teams and executive 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 and form a clear, independent point of view.

Nice to Have

Experience with AI personalization, recommendation systems, or memory/context systems.
Background in event-driven or proactive product experiences.
Familiarity with LLM-based systems and the unique product challenges they present.
Experience navigating data privacy and governance frameworks.
Background in enterprise B2B product management.

Team & Environment

You will lead product within a cross-functional pod of 4-8 engineers spanning AI/LLM and backend infrastructure disciplines. This is an embedded product leadership role, working alongside a development lead.

Benefits & Compensation

Compensation range: $215,000-$300,000
15 vacation days (prorated based on start date)
12 company-paid holidays
6 paid sick days (prorated based on start date; may vary by state)
Medical, dental, and vision coverage
2 floating holidays (prorated based on start date)
1 volunteer day
401(k) company match (IDC matches 3% on the first 6% of employee contributions)
Company-paid short-term disability
Company-paid life insurance
Company-paid parental leave