СШАGrowth Product Manager - Product Marketing
вчера
СШАHybrid
predictive analytics
Growth Product Manager role focusing on product growth and product marketing for an AI-native retail media platform.
О компании
- , 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.
- 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.
- 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.
Обязанности
- We are hiring a Growth Product Manager who owns the whole path from “never heard of ” 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.
Будет плюсом
- 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
Условия
- 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
Другое
- Growth Product Manager, Product Marketing
- · Bay Area (hybrid) · Full-time
- 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.
- Own how 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.
- 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.
- 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.
- 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.
- 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.