layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

LAYIQ - Director of Product at Embedding VC, San Francisco, CA

AI Strategy & Vision
Define and own Xnurta’s multi-year AI strategy
, spanning optimization engines, agent frameworks, predictive models, attribution systems, and generative AI experiences.
Establish the vision and roadmap for AI-driven automation, intelligence, and decision-making across all product surfaces.
Identify emergent AI opportunities (LLMs, agents, reinforcement learning, causal inference, MMM/MTA, etc.) and convert them into high-leverage product initiatives.
Leadership & Team Building
Lead, mentor, and scale a team of AI product managers, fostering a culture of excellence, critical thinking, and rapid iteration.
Build strong partnerships with Data Science, Machine Learning Engineering, Platform Engineering, GTM, and Customer Success teams.
Align executive stakeholders around strategy, roadmaps, and critical prioritization decisions.
Model & Data Lifecycle Leadership
Partner with AI/ML leaders to define: training data requirements evaluation metrics offline vs. online testing strategies model deployment & monitoring standards model governance, explainability, and safe use
Lead large-scale experimentation frameworks (A/B tests, simulation, offline replay, etc.).
Ensure continuous improvement of models through robust feedback loops.
AI System Design & Product Architecture
Design and drive the architecture of AI-driven components such as: bidding & budget optimization models generative creative intelligence multi-agent orchestration frameworks spend forecasting & pacing engines advertiser guidance and insight-generation systems
Work with ML engineers and architects to ensure AI components are scalable, reliable, and explainable.
Cross-Functional Influence
Communicate AI strategy, tradeoffs, and impact clearly to executive leaders, technical teams, and customer-facing teams.
Serve as the executive-level voice of AI product across the organization.
Translate complex AI concepts into business and customer value narratives that guide GTM and operational decisions.
Customer Impact & Adoption
Ensure that AI features are intuitive, trustworthy, configurable, and aligned with advertiser needs.
Guide UX/design on interfaces that express AI decisions transparently and empower users with control.
Drive adoption and measurable business outcomes across customer segments.

Director of Product

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