Qualification

Technically deepFluent in the enterprise AI landscapeAn exceptional writerComfortable with any audienceExecution-focusedA craftsperson who wants depthSteeped in martechData-drivenHow Success Is MeasuredWhat You'll BringExperience in AI productsExperience with pricing and packaging

Required

Technically deep, and it shows. You can hold your own in an architecture conversation, ask an engineer a question that makes them think, and earn credibility with technical buyers on the substance of what you say.
Fluent in the enterprise AI landscape. Large language models, agentic AI, AI infrastructure, and the evolving ecosystem of AI tools and platforms — you follow this market closely and have real opinions about where it's going.
An exceptional writer. You write with clarity, precision, and edge, and you can compress something complicated into something sharp.
Comfortable with any audience. A technical deep-dive with a data engineering team, an executive briefing, an analyst inquiry, a sales kickoff stage.
Execution-focused. You have strategic range and a bias for shipping. Ideas that don't reach the market don't count.
A craftsperson who wants depth. You're drawn to owning one hard thing completely and you take pride in the quality of the work itself.
Steeped in martech. You understand this market, the competitive set, and how the role of marketing is being reshaped by AI and you can speak to that change with a point of view.
Data-driven. You instrument your programs, know what's working, and connect PMM work to pipeline and win rates with real numbers.
How Success Is Measured
Success is measured against business outcomes, not activity: pipeline influenced, Decisioning Studio adoption and expansion, competitive win rates, and the market's understanding of what Braze decisioning does and why it's different. You'll be expected to instrument your programs and show that connection clearly and consistently.
What You'll Bring
8+ years of Product Marketing experience, with an exceptionally strong background in technical and AI products.

Preferred

Experience in AI products, cloud data platforms, business intelligence, or analytics software.
Experience in the martech or customer engagement space, with real command of the competitive landscape and how AI is changing the practice of marketing.
Experience with pricing and packaging, particularly for AI or consumption-based products.
Experience building field enablement that gets adopted and used.
Experience working with industry analysts on technical product categories.
Experience with decisioning, recommendation systems, personalization engines, or experimentation platforms.
For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $134,000 and $190,000/year, with an expected On Target Earnings (OTE) between $154,000 and $220,000/year (including bonus or commission).Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company.

Lead, Product Marketing — Decisioning Studio at Braze · LumiJobs

Lead, Product Marketing — Decisioning Studio

Responsibilities

Qualification

Required

Preferred

Benefits

Company

Braze

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