Senior Product Marketing Manager - Data & Customer Context

New

REMOTE - USFull-TimeSenior

Salary$148K – $194K; $148K – $194K • Offers Equity • This is the US base salary range for this position.

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Job Details

Experience: 6+ years in product marketing at a B2B SaaS company; 1–3 years of experience marketing AI-native or agentic products.
Required Skills: RESTful APIs

Have 6+ years of product marketing experience at a B2B SaaS company.
Have significant experience leading or contributing to Tier 1 product releases.
Have a background in data infrastructure, data warehousing, iPaaS, automation, or similarly technical B2B SaaS; martech experience is a plus.
Have 1–3 years of experience marketing AI-native or agentic products.
Understand how data provides context for AI models and agents.
Demonstrate strong storytelling and an ability to translate launch rationale into messaging that sells.
Understand data architecture, including APIs, SDKs, pipelines, integrations, and data warehouses.
Translate technical concepts into clear, differentiated customer narratives.
Use AI tools creatively across research, messaging, and content development.
Partner closely with Product, Engineering, and GTM leaders and exercise independent judgment.

Define and evolve the narrative for Iterable’s customer context capabilities and data foundation.
Position context engineering and explain how connected, structured customer data supports AI and agent experiences.
Translate technical data platform concepts into customer value for technical practitioners and business decision-makers.
Develop messaging and positioning for data platform products and releases.
Own launch strategy and execution, define launch tiers, and align go-to-market plans with Product.
Establish product success metrics, analyze performance, and use insights to shape future go-to-market strategy.
Research data infrastructure and AI market trends, competitors, and customer needs.
Partner with Product Management to align the data platform narrative with market shifts and roadmap decisions.
Represent the product area in analyst relations and thought leadership initiatives.
Drive customer adoption and expansion through lifecycle messaging, enablement, customer references, and case studies.

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