---
title: 'Growth Product Manager - Product Marketing at Embedding VC'
canonical: 'https://feeny.ai/job/growth-product-manager-product-marketing-embedding-vc-san-francisco-j89dx7cw58e6'
type: 'job'
last_seen: '2026-10-14'
---

# Growth Product Manager - Product Marketing at Embedding VC

- **Company:** Embedding VC
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-10-13
- **Last confirmed live:** 2026-10-14
- **Apply:** https://jobs.ashbyhq.com/embedding-vc/2aee4ca5-53c5-431b-a4b7-26ef05dca311

## Job description

Growth Product Manager, Product Marketing Xnurta · Bay Area (hybrid) · Full-time

## 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. Thousands of advertisers run real budget through our platform every day. We are past the “does this work” stage and squarely in the “how fast can we grow this” stage — which is exactly why this role exists.

## 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.

## The Role

We are hiring a Growth Product Manager who owns the whole path from “never heard of Xnurta” to “can’t run ads without it.” This is a hybrid role on purpose. Half of it is growth product: you own the funnel as a product surface — signup, onboarding, activation, first value, expansion — and you ship against it with engineering and design. The other half is product marketing: you decide what we say about the product, why it beats the alternative, and how every launch actually lands with advertisers and with our own sales and CS teams. If you have only ever written positioning docs, or only ever run A/B tests on a signup flow, this will stretch you. That is the point. Growth at an AI-native company is one loop, not two departments.

## What You’ll Own

Growth Loops & Activation

- Own the activation and expansion funnel end-to-end — signup, connect-your-ad-account, first optimization, first measurable lift, second seat, second brand.
- Instrument it honestly. Find the three steps where people actually drop, and go fix them with engineering rather than explaining them in a deck.
- Run a real experiment cadence: hypothesis, sample size, ship, read, kill or scale. We want a track record of shipped tests, not a backlog of proposed ones.
- Build self-serve paths into a business that has historically been sales-led, and be clear-eyed about where self-serve stops and a human should take over.

Positioning & Messaging

- Own how Xnurta is described — category, narrative, the one sentence a busy brand manager repeats to their boss.
- Turn genuinely hard technical capability (multi-agent optimization, predictive pacing, generative insight) into claims that are specific, provable, and free of AI theater.
- Keep a live view of the competitive set — Pacvue, Skai, Perpetua, Amazon’s own tooling — and know exactly where we win, where we lose, and what to do about it.
- Price and package with product and finance. Packaging is a growth lever, not a spreadsheet exercise.

Launches That Actually Land

- Run launches end-to-end: tiering, narrative, assets, timing, enablement, in-product announcement, and a post-launch read on adoption.
- Define what “success” means before launch day, then publish the number afterwards — good or bad.
- Arm sales and customer success with material they choose to use: demo flows, objection handling, proof points, competitive battlecards.

Voice of the Market

- Talk to advertisers every week. Bring the raw quotes back, not the sanitized summary.
- Feed what you learn into the roadmap with enough evidence that product changes direction because of it.
- Be the person in the room who can say what the market will pay for and why.

## Your First Six Months

- Month 1: Full audit of the funnel with real numbers attached. You can tell us where every dollar and every signup leaks.
- Month 2–3: A rewritten positioning and messaging framework that sales adopts voluntarily, plus your first three shipped growth experiments.
- Month 4–6: A measurable lift in activation or expansion that you can defend in front of the exec team, and one flagship launch run start to finish on your standards.

## What We’re Looking For

Required

- 3–5 years across growth product management and/or product marketing, with meaningful depth in both — or the clear appetite and aptitude to build the missing half fast.
- You have personally shipped growth work: funnel instrumentation, onboarding redesigns, pricing or packaging changes, experiments with real statistical rigor. Not just overseen it.
- You write well. Short sentences, specific claims, no filler. We will ask for a writing sample and we will read it closely.
- You are comfortable in the data yourself — SQL, product analytics, dashboards — and do not wait on an analyst to form a point of view.
- B2B SaaS experience where the buyer is a professional with a budget and a spreadsheet, not a consumer with an impulse.
- You are opinionated and you update your opinions when the data disagrees.

## Preferred

- Ad tech, martech, retail media, or e-commerce — especially Amazon Ads, DSP, or agency-side experience.
- Hands-on with AI products: you have shipped and marketed something where the model is the product, and you know how to build trust rather than hype.
- Product-led growth experience inside a company that was previously sales-led. You know what actually breaks in that transition.
- Mandarin proficiency — much of our product and engineering org is in China, and you will work with them directly.
- Startup experience preferred

## How We Work

- Bay Area based, hybrid. This role involves regular in-person time with the US team and customers.
- You will overlap with a China-based product and engineering org. Some early mornings or late evenings come with the territory; we try to make it fair rather than pretend it is not there.
- Small team, wide surface area. You will have more scope than a comparable role at a large company and less scaffolding around you. That trade is the job.

## What We Offer

- Competitive salary, meaningful equity, and full benefits
- Unlimited PTO
- A supportive, inclusive, AI-first culture
- Direct access to leadership and to customers — short path from idea to shipped
- The chance 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)

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