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Braze

Customer engagement platform for cross-channel messaging

Lead Product Marketing - Decisioning Studio

Product MarketingUpdated on Nov 11
Full-timeNew York, NY, USA$134k - $190k /yr

About the Job

Requirements

  • At least 8 years of product marketing experience, with a strong background in technical and artificial intelligence products.
  • Fluency in the enterprise artificial intelligence landscape, including large language models, agentic artificial intelligence, artificial intelligence infrastructure, and the evolving ecosystem of artificial intelligence 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 artificial intelligence concepts clearly to technical and business audiences.
  • A data-driven mindset and 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 a career.
  • Technical depth sufficient to hold architecture conversations, ask substantive questions of engineers, and earn credibility with technical buyers.
  • Ability to write clearly and precisely, communicate with technical and executive audiences, and present or speak at events.
  • Experience using artificial intelligence tools in one's own work.
  • Ability to instrument marketing programs and connect product marketing work to pipeline, adoption, expansion, and competitive win rates.

Responsibilities

  • Own Decisioning Studio product marketing, including positioning, messaging architecture, launch strategy and execution, competitive strategy, pricing and packaging input, and the field narrative.
  • Explain decisioning to data engineers, architects, platform owners, and technical evaluators with credible technical detail.
  • Develop competitive strategy for decisioning and artificial-intelligence-driven personalization and use competitive knowledge to create positioning that wins deals.
  • Partner with product marketers responsible for the Braze Data Platform, observability, Account Objects, Operator, and Agent Console to develop the Data and AI portfolio narrative.
  • Partner with Product Management and Engineering to bring market and customer insight into roadmap decisions and influence what gets built.
  • Translate decisioning logic, large language models, agentic systems, and data infrastructure into clear language suited to different audiences without oversimplifying the technology.
  • Take Decisioning Studio releases from positioning through field readiness and build ongoing motions to drive adoption and expansion.
  • Build, execute, and measure product marketing plans in partnership with demand, brand, and communications teams.
  • Partner with Pricing, Product, and Finance on packaging and monetization of decisioning capabilities, ensuring the customer and field narrative is coherent.
  • Partner with the product marketing go-to-market team to create narratives, sales plays, and assets for Sales, Solutions Consulting, and Customer Success.
  • Spend time with customers and analysts, and use insights to inform positioning, enablement, and roadmap discussions.
  • Create content, speak at events, and represent the company as a thought leader for marketers adopting artificial intelligence.
  • Use artificial intelligence in day-to-day work while marketing artificial-intelligence products.
  • Ship work across Product, Engineering, Sales, Enablement, and Marketing by building trust and relationships without direct authority.
  • Instrument programs and report their connection to pipeline, Decisioning Studio adoption and expansion, competitive win rates, and market understanding.

Desired Qualifications

  • Experience with artificial intelligence products, cloud data platforms, business intelligence, or analytics software.
  • Experience in the marketing technology or customer engagement space, including knowledge of its competitive landscape and how artificial intelligence is changing marketing.
  • Experience with pricing and packaging, particularly for artificial intelligence 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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