Director of Product

We are seeking an exceptional Director of AI Product Management to define, drive, and scale Xnurta's AI strategy, including model-based optimization, generative intelligence, multi-agent orchestration, predictive forecasting, and automated decision-making systems. In this role, you will lead a team of AI product managers, partner closely with engineering and data science leadership, and own the long-term vision for how AI powers every facet of the Xnurta platform. This is a highly strategic and highly technical leadership role, ideal for a product leader who has shipped AI/ML systems at scale and thrives at the intersection of AI strategy, systems architecture, user impact, and organizational influence.

Responsibilities

Define and own the 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; Lead, mentor, and scale a team of AI product managers; Build strong partnerships with Data Science, Machine Learning Engineering, Platform Engineering, GTM, and Customer Success teams; Align executive stakeholders around strategy, roadmaps, and prioritization decisions; Partner with AI/ML leaders to define training data requirements, evaluation metrics, offline vs. online testing strategies, model deployment and monitoring standards, and 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; Design and drive the architecture of AI-driven components such as bidding and budget optimization models, generative creative intelligence, multi-agent orchestration frameworks, spend forecasting and pacing engines, and advertiser guidance and insight-generation systems; Work with ML engineers and architects to ensure AI components are scalable, reliable, and explainable; Communicate AI strategy, tradeoffs, and impact 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; Ensure 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

Requirements

8–12+ years of product management experience, with significant experience in AI/ML-driven products, ad tech, or large-scale optimization platforms; Demonstrated success shipping and scaling ML-based systems across high-volume use cases; Strong technical understanding of ML fundamentals (training pipelines, model evaluation, offline/online experimentation, feature engineering, RL, LLM workflows, etc.); Proven leadership experience managing PM teams and influencing cross-functional executives; Exceptional communication and product storytelling skills, able to simplify complexity and inspire alignment; Deep analytical mindset with fluency in data tools, metrics design, and scientific thinking; Experience working in fast-paced SaaS, retail media, or advertising technology environments

Nice to have

Experience with Amazon Ads, DSP bidding systems, MMM/MTA, predictive forecasting, or performance optimization models; Experience deploying or integrating LLMs, agentic systems, or generative AI into production workflows; Mandarin proficiency for cross-regional collaboration

Benefits

Competitive salary and benefits; Supportive and inclusive AI-first culture; Unlimited PTO; Opportunity to build the future of AI-driven retail media alongside industry-leading talent