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Braze

Customer engagement platform for cross-channel messaging

Lead Product Marketing - Decisioning Studio

Product MarketingUpdated on Nov 11
Full-timeAustin, TX, USA$120k - $169k /yr

About the Job

Requirements

  • Fluency in the enterprise AI landscape, including large language models, agentic AI, AI infrastructure, and the evolving ecosystem of AI tools and platforms.
  • A proven track record of developing product positioning and messaging that resonates with technical audiences and accelerates revenue in competitive markets.
  • Experience partnering closely with Product Management and Engineering to understand and shape roadmap strategy through market and customer insight.
  • Strong written and verbal communication skills to explain complex AI concepts clearly to technical and business audiences.
  • A data-driven mindset with demonstrated ability to measure the impact of product marketing programs on pipeline and win rates.
  • Demonstrated ability to operate across functions and execute without direct authority in a fast-moving, matrixed organization.
  • A degree in mathematics, computer science, statistics, data science, engineering, physics, or a related quantitative or technical field, or equivalent demonstrated technical depth built through career experience.

Responsibilities

  • Own Decisioning Studio product marketing, including positioning, messaging architecture, launch strategy and execution, competitive strategy, pricing and packaging input, and field narrative.
  • Own how Braze explains decisioning to data engineers, architects, platform owners, and technical evaluators.
  • Develop competitive strategy for decisioning and AI-driven personalization, using competitive knowledge to create positioning that wins deals.
  • Partner with the product marketers responsible for the Braze Data Platform, observability, Account Objects, Operator, and Agent Console to build the Data & AI portfolio narrative.
  • Partner with Product Management and Engineering, bringing market and customer insight that shapes the product roadmap.
  • Translate decisioning logic, large language models, agentic systems, and data infrastructure into clear, substantive messaging tailored to different audiences.
  • Take Decisioning Studio releases from positioning through field readiness and build sustained motions that drive ongoing adoption and expansion.
  • Build, execute, and measure product marketing plans and strategies in partnership with demand, brand, and communications teams.
  • Partner with Pricing, Product, and Finance on packaging and monetization of decisioning capabilities and ensure the customer and field narrative is coherent.
  • Partner with the product marketing go-to-market team to build narratives, plays, and assets that enable Sales, Solutions Consulting, and Customer Success to support customers and prospects.
  • Prioritize time with customers and analysts and apply the resulting insights to positioning, enablement, and roadmap discussions.
  • Write content, speak at events, and act as a market voice for marketers adopting AI.
  • Use AI tools in day-to-day work as a practitioner while marketing AI products.
  • Coordinate with Product, Engineering, Sales, Enablement, and Marketing to deliver work by building trust and relationships rather than relying on direct authority.
  • Instrument programs and demonstrate their connection to pipeline, Decisioning Studio adoption and expansion, competitive win rates, and market understanding.

Desired Qualifications

  • Experience with AI products, cloud data platforms, business intelligence, or analytics software.
  • Experience in the martech or customer engagement space, including command of the competitive landscape and how AI is changing marketing.
  • Experience with pricing and packaging, particularly for AI or consumption-based products.
  • Experience building field enablement that is adopted and used.
  • Experience working with industry analysts on technical product categories.
  • Experience with decisioning, recommendation systems, personalization engines, or experimentation platforms.

About the Company

Braze

Customer engagement platform for cross-channel messaging

Braze is a customer engagement platform that helps brands build ongoing relationships with customers by coordinating real-time, cross-channel messages across email, push, in-app, SMS, and more. It collects data from any source, segments audiences, and orchestrates customer journeys so the right message reaches the right person at the right time. It also uses AI-powered experimentation and optimization to test and improve campaigns. Braze differentiates itself with a data-driven, multi-channel approach and a strong emphasis on journey orchestration and real-time engagement, serving a wide range of clients from small businesses to large enterprises and operating globally. Its goal is to enable brands to deliver relevant, personalized experiences at scale, across channels, to drive lasting customer relationships.

Company size
1,001-5,000
Company stage
IPO
Headquarters
New York City, New York
Founded
2011

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