--- title: 'Director of Product at Embedding VC' canonical: 'https://feeny.ai/job/director-of-product-embedding-vc-san-francisco-6zpkc92h6r1p' type: 'job' last_seen: '2026-10-14' --- # Director of Product at Embedding VC - **Company:** Embedding VC - **Location:** San Francisco, CA - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-10-13 - **Last confirmed live:** 2026-10-14 - **Apply:** https://jobs.ashbyhq.com/embedding-vc/8177d4ee-f249-46c5-b3e0-a4cbffd788c7 ## Job description Director of AI Product Management ## Who We Are Xnurta is an AI-native retail media and advertising optimization platform built for brands, sellers, and agencies on Amazon and beyond. We combine multi-agent AI systems, advanced predictive analytics, and deep domain expertise to deliver unparalleled advertising performance. Our platform enables both advertisers and internal experts to orchestrate custom advertising strategies—balancing automation, human insight, explainability, and control—to maximize revenue, scale operations, and maintain transparency in an increasingly complex ad ecosystem. ## Our Values - Humble Excellence – Lead with humility, execute with mastery. - Always Learning – AI evolves fast; so do we. - Extreme Accountability – Own outcomes end-to-end. - Diverse Thinking – Cross-industry, cross-domain perspectives fuel innovation. - Customer Obsession – Every model, feature, and insight must create tangible value for advertisers. Position Overview 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. You will shape the core intelligence layer that drives automation, insights, creativity, and performance for thousands of advertisers. 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. ## Key Responsibilities 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. ## Qualifications Required - 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. ## Preferred - 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. ## What We Offer - Competitive salary and benefits - A supportive and inclusive AI-first culture - Unlimited PTO - The opportunity to build the future of AI-driven retail media alongside industry-leading talent ## About Embedding VC ## Company Overview - **One-liner**: Embedding VC is an early-stage venture capital firm investing in Generative AI startups, backing engineering, product, and research visionaries. - **Entity Type**: Private (Venture Capital Firm) - **Headquarters**: Menlo Park, California, United States - **Founded**: 2023 - **Founders**: Roger Luo (Founder & Managing Partner) ## Core Business - Primary industry/industries: Venture Capital, Private Equity, Artificial Intelligence - Target customers: Early-stage Generative AI startups (Seed and Series A) - Mission or purpose statement: To back engineering, product, and research visionaries in the mission to develop AGI, believing they are at the onset of a new computing super cycle driven by AI innovations. ## Products & Services - **Venture Capital Investments**: Early-stage (Seed and Series A) investments in Generative AI startups. Focus areas include AI-first applications, middleware for Gen AI, and AI + game + social. - **Portfolio Support**: Provides capital and strategic support to portfolio companies, leveraging a network of investors who are current and former builders and operators. ## Market Standing - **Valuation/Market Cap**: Not applicable (Venture Capital firm) - **Key Metric**: Total Funding Deployed: Not publicly disclosed. The firm has made 6 investments as of early 2026, with 5 new investments in the last 12 months. - **Notable Investors/Partners**: The firm's investors are current and former builders and operators. Co-investors include Long Journey Ventures, Mayfield, Correlation Ventures, 468 Capital, NFX, and Menlo Ventures. - **Growth Signals**: Active job postings (37 as of mid-2026), with a monthly growth in postings of +5.7% and quarterly growth of +48.0%. The firm's website traffic has grown +231.9% monthly. The firm has made 5 new investments in the last 12 months, including a Series A round in Entelligence in January 2026. ## Competitive Advantages - **Founder-Operator Network**: All investors in the fund are current and former builders and operators, providing deep, hands-on expertise to portfolio companies. - **Niche Focus**: Dedicated exclusively to early-stage Generative AI, a high-growth, cutting-edge sector, allowing for deep specialization and a strong network within the AI ecosystem. - **Strong Portfolio**: Investments in notable AI startups like Flora (AI-powered smart glasses, $52M raised), Omi (AI personal story recording), and Entelligence (AI for engineering leadership) demonstrate a keen eye for emerging trends. ## Strategic Focus - **Generative AI Leadership**: To be the premier early-stage partner for founders building the next generation of AI-native companies. - **AGI Mission**: The firm explicitly states a belief in the mission to develop AGI, signaling a long-term, high-conviction investment thesis. - **Expanding Portfolio**: Actively seeking new investments in AI-first applications, middleware for Gen AI, and AI + game + social. ## Why Work Here - **Culture**: A small, focused team of 17 employees (as of mid-2026) with a flat structure, offering significant ownership and impact. The firm is described as a partnership. - **Remote/Hybrid Policy**: The firm has offices in Menlo Park (HQ) and Los Angeles, CA. Job postings indicate a mix of "In-Office" and "In-Office or Remote" roles, suggesting flexibility depending on the position. - **Notable Perks/Engineering Culture**: Working at a VC firm offers exposure to the cutting edge of AI technology and the startup ecosystem. The team is composed of specialists and management, with a strong consulting and technical background. The firm is actively hiring for technical roles (Machine Learning Engineer, Software Engineer, Data Engineer) and product roles, indicating a hands-on, builder-oriented culture within the firm itself. ## Sources 1. [embedding.vc](https://www.embedding.vc/) 2. [linkedin.com](https://www.linkedin.com/company/embeddingvc) 3. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/embedding-vc) 4. [tracxn.com](https://tracxn.com/d/venture-capital/embeddingvc/__x4iWIoyDblSMImQx3cerpGqOt15eGHuGXfZJrtw3RK0) 5. [builtin.com](https://builtin.com/company/embedding-vc/teams) ## Other roles at Embedding VC - [Growth Product Manager](https://feeny.ai/job/growth-product-manager-embedding-vc-san-francisco-vrfeccdpc23z) — San Francisco, CA - [Head of Security](https://feeny.ai/job/head-of-security-embedding-vc-san-francisco-yt0qgf1vw3cp) — San Francisco, CA - [Developer Platform Engineer](https://feeny.ai/job/developer-platform-engineer-embedding-vc-san-francisco-s7fzpn8agesg) — San Francisco, CA - [Applied AI Engineer](https://feeny.ai/job/applied-ai-engineer-embedding-vc-san-francisco-5z96xfrv5cwk) — San Francisco, CA - [Platform Architect](https://feeny.ai/job/platform-architect-embedding-vc-san-francisco-dc9s1t5g35k1) — San Francisco, CA - [Growth Product Manager - Product Marketing](https://feeny.ai/job/growth-product-manager-product-marketing-embedding-vc-san-francisco-j89dx7cw58e6) — San Francisco, CA - [Brand Designer](https://feeny.ai/job/brand-designer-embedding-vc-mountain-view-gs8te4kmq1vy) — Mountain View, CA - [Product Designer](https://feeny.ai/job/product-designer-embedding-vc-mountain-view-607j0rvt9b9t) — Mountain View, CA - [IT & Information Security Manager](https://feeny.ai/job/it-information-security-manager-embedding-vc-san-francisco-sk44dfr9pp9h) — San Francisco, CA - [Software Engineer, Agent](https://feeny.ai/job/software-engineer-agent-embedding-vc-san-francisco-b6gjwsa8j7qj) — San Francisco, CA