Braze Lead Product Marketing for Braze's Decisioning Studio, owning positioning, messaging, launch, and competitive strategy. Serve as the technical audience expert explaining decisioning to data engineers and technical evaluators.
Responsibilities
Translate genuinely complex technology into language that lands. Decisioning logic, large language models, agentic systems, data infrastructure — you make hard things clear without making them shallow, and you adjust register for the room without losing substance.
Run launches that don't stop at the launch. Take Decisioning Studio releases from positioning through field readiness, and build the sustained motion that drives adoption and expansion on an ongoing basis, not just the moment of announcement.
Build and own the marketing plan for your products. You will partner with our demand, brand, and communication team members to build, execute, and measure every strategy and tactic.
Own pricing and packaging input. Partner with Pricing, Product, and Finance on how decisioning capabilities are packaged and monetized, and make sure the story holds together for customers and for the field.
Enable the field to sell a technical product with confidence. Partner with the PMM GTM team to build the narratives, plays, and assets that let Sales, Solutions Consulting, and CS support our customers and prospects.
Spend real time with customers and the market. Treat customer and analyst time as a priority, not a luxury, and bring what you learn back into positioning, enablement, and the roadmap conversation.
Act as a thought leader in the market. You write content, speak at events, and show up as a voice to listen to for marketers adopting AI in new ways. You are comfortable on stage, and an engaging writer.
Use AI as a practitioner, not a commentator. You market AI products and you use AI in your own work. You're credible on both because you actually do both.
Operate without direct authority. Get things shipped across Product, Engineering, Sales, Enablement, and Marketing by earning trust and building relationships, not by escalating.
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.
Reports to: VP of Product Marketing
Direct reports: None — this is a senior individual contributor role
