Product Marketing Manager - Secure Data

Microsoft•Redmond, WA
•$86,100 - $187,400

About The Position

Microsoft Security is hiring a Product Marketing Manager for the Secure Data Solution Marketing team. The role leads marketing efforts for practitioner audiences, including driving usage of Microsoft Purview. It supports organizations in building a trusted data foundation so they can adopt AI securely, protect valuable assets, and innovate confidently. The role focuses on helping customers move from trials and initial engagement to deeper, sustained product usage. It uses customer and product signals to find friction and identify adoption pathways, then turns those insights into effective customer experiences across trials, product-led growth, relationship marketing, in-product experiences, documentation, Tech Community, and practitioner engagement. The manager partners with Product, Engineering, Field, Community, and Marketing teams to identify opportunities, run experiments, and build repeatable programs that help customers realize value faster. The successful candidate is customer-focused, technically credible, strategic, and hands-on. They understand practitioner needs and can translate customer challenges and product knowledge into clear strategies and high-quality content, while building trusted partnerships across teams and leadership.

Requirements

  • Master's degree in Marketing, Computer Science, Business, or a related field and at least 1 year of business experience; or bachelor's degree in one of these fields and at least 2 years of business experience; or equivalent experience.
  • Experience developing and executing customer adoption, engagement, lifecycle, or product-led growth programs.
  • Experience using quantitative and qualitative customer insights to identify opportunities and translate them into actionable marketing programs.
  • Demonstrated ability to manage cross-functional projects and execute programs across teams and stakeholders.
  • Strong written and verbal communication skills, including the ability to translate technical concepts and customer insights into clear, compelling experiences.
  • Strong analytical mindset, including experience defining success metrics, evaluating program performance, and using results to inform next steps.

Nice To Haves

  • Master's degree in Marketing, Computer Science, Business, or a related field and at least 3 years of business experience; or bachelor's degree in one of these fields and at least 5 years of business experience; or equivalent experience.
  • Experience marketing cybersecurity, data security, compliance, risk, or other technical B2B products.
  • Experience with SaaS or product-led growth motions, including trial conversion, activation, adoption, retention, and lifecycle engagement.
  • Experience designing or optimizing digital customer journeys across email, in-product experiences, documentation, community, video, webinars, or other scale channels.
  • Familiarity with experimentation methodologies, customer journey analytics, funnel analysis, and behavioral segmentation.
  • Experience engaging technical practitioners and translating practitioner needs into content or experiences that drive product adoption.
  • Ability to operate in a highly cross-functional environment and connect disparate customer and product signals into a clear point of view and actionable plan.

Responsibilities

  • Drive usage across the customer journey, moving customers from trial and initial engagement to deeper, sustained product usage across scale channels.
  • Analyze customer behaviors and usage signals to identify friction, drop-off points, and adoption pathways associated with success.
  • Connect signals from trials, product-led growth, relationship marketing, Tech Community, practitioner engagement, and other touchpoints into an integrated view of the customer journey.
  • Translate customer and product insights into targeted experiences, including lifecycle email, in-product prompts, documentation, videos, technical content, webinars, and Tech Community AMAs.
  • Develop hypotheses, execute experiments, measure results, and optimize customer experiences based on behavior and performance data.
  • Turn successful experiments into scalable programs and playbooks.
  • Build a strong understanding of data security practitioners, their workflows, and barriers to product value.
  • Partner with Product, Engineering, Field, Community, and Marketing stakeholders to translate customer insights into coordinated usage-driving programs.
  • Establish and track metrics for activation, engagement, adoption, and sustained usage, and use insights to recommend future investment.
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