Communications Manager – Product & Engineering

• Design and deliver employee-facing communications that keep engineers, product teams, and technical leaders aligned to strategy, connected to culture, and ready for change.
• Operationalize and activate communication strategy at the organization level, owning channels, cadences, campaigns, and leader support for the P&E organization.
• Build and execute the P&E internal communications strategy and calendar aligned to WD’s product roadmap, operating model, and growth priorities.
• Translate corporate and product strategy into clear, employee-ready narratives for technical audiences.
• Own communications intake, prioritization, and sequencing for P&E, balancing urgency, impact, and employee capacity to ensure clarity and reduce noise.
• Draft and ghostwrite org-wide emails, updates, narratives, Q&A, and presentations for P&E leaders.
• Write, edit, and publish high-quality employee-facing content across multiple formats.
• Act as editor-in-chief for P&E channels, ensuring message discipline and reduced noise.
• Produce, project manage and run the P&E All Hands/Ask Me Anythings, including content, logistics, delivery and follow up.
• Lead communications for P&E change (reorgs, mechanism rollouts, operating model shifts).

Requirements

• 8+ years in employee/internal communications (or adjacent roles) with proven success in complex, technical organizations.
• Exceptional writing and editing skills; ability to translate engineering/product topics into clear, human centered messages.
• Demonstrated experience planning and executing change communications across large, distributed teams.
• Strong stakeholder management and consultative skills; confident advising senior leaders and pushing back with data and rationale.
• Channel operations experience (SharePoint, Teams/Slack, newsletters, town halls); strong slides/story design in PowerPoint.
• Program/project management rigor and high attention to detail.
• Fluency in the software/hardware product lifecycle, and data‑center/cloud ecosystems (preferred).
• Familiarity with the role data storage plays in AI (preferred).