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