Technical Product Lead
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Job Description
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
- Company-paid cell phone plan
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