Director, Portfolio Product Marketing

Responsibilities

Sales Plays

• Build sales plays for new products and features, synthesizing product-line messaging into portfolio-wide motions.
• Translate product requirements into sales-facing playbooks and launch guidance covering what is being built, why it matters, who it serves, and what it displaces.
• Partner with Product and product-line product marketers on launch calendars and Revenue Enablement readiness.
• Convert early-access and preview learnings into targeting guidance and field-ready talk tracks.

Messaging and Narrative

• Create a coherent, differentiated portfolio-level sales narrative using the Command of the Message framework.
• Own the First Call Deck narrative and the story arc across the customer journey.
• Build modular slide libraries tailored to personas, segments, and use cases.

Training and Field Readiness

• Develop curriculum for new-hire onboarding and ongoing field education.
• Build and deliver product training with Product for Field Forum.
• Run train-the-trainer sessions with Revenue Enablement.
• Review enablement content for technical accuracy.

Competitive and Market Intelligence

• Maintain competitive battlecards and matrices covering hyperscalers, neoclouds, and managed inference providers.
• Publish analyst and industry updates with FAQs and recommended messaging.
• Maintain ICP definitions and help sellers identify and qualify new targets.

Customer-Facing Content

• Create product one-pagers and datasheets.
• Develop customer stories with business-impact content for sales decks.
• Produce infographics, top-ten lists, and outreach assets.
• Build ROI/TCO calculators and other sales decision-support tools.

Operations

• Organize content repositories so current blogs, ungated content, and decks are discoverable.
• Maintain version hygiene, including a single source of truth and visible update dates for each asset.

Requirements

• 10+ years of product marketing experience, ideally in cloud infrastructure, AI, or machine learning.
• Technical depth in AI/ML infrastructure, including training and inference workloads, inference performance and cost, and customer compute evaluation.
• Knowledge of hyperscalers, neoclouds, managed inference providers, and buy-versus-build decisions.
• Fluency with sales messaging frameworks; Command of the Message experience is strongly preferred.
• Proven ability to explain technical concepts clearly to non-technical sellers.
• Understanding of enterprise sales processes, pipeline stages, MEDDIC-style qualification, and first-call execution.
• Experience collaborating across product-line product marketing teams while maintaining a portfolio perspective.
• Experience creating content that sales teams actively reuse.

Nice-to-Haves

• Experience at an infrastructure, semiconductor, or AI platform company.
• Background as a sales engineer, solutions architect, or technical seller.
• Comfort using data tools to build customer-ready TCO models.

Compensation and Benefits

• Compensation range: $240,000–$270,000 plus bonus.
• Restricted Stock Units included in offers.
• Paid time off, paid holidays, and leave programs.
• Health, dental, and vision insurance.
• Employer HSA contributions.
• Paid parental leave, life insurance, and short- and long-term disability coverage.
• Professional development and tuition reimbursement.
• Mental health and wellness support.
• Commuter benefits and cell phone stipend.
• 401(k) plan with company match up to 4% of salary.
• Volunteer time off, global travel insurance, daily meals allowance, and location-specific perks.