Crusoe6 дней назад
Директор по продуктовому маркетингу портфеля
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РЫНОК
16 250 ₽медиана по профессии
Data Scientist · 212 вакансий с указанной зарплатой
5 000половина предложений: 13 084–21 768120 000
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Полная занятостьОфис
Обязанности
- 01Serve as the primary SME for building sales plays for new products and features, synthesizing across product lines into a single motion the field can run
- 02Translate product-line MRDs into sales-facing playbook components and launch guidance: what we're building, why, for whom, and what it displaces, framed for the questions sales will actually ask
- 03Partner with Product and product-line PMMs on launch calendars, ensuring Revenue Enablement gets months of lead time, not days
- 04Translate early-access and preview learnings into targeting guidance and field-ready talk tracks
- 05Synthesize product-line messaging into a portfolio-level sales narrative using Command of the Message (Force Management), keeping the cross-product story coherent and differentiated
- 06Own the sales narrative for the First Call Deck: conversational up front
- 07Build modular slide libraries so reps can tailor by persona, segment, and use case without going off-message
- 08Build curriculum components for new-hire onboarding and ongoing field education
- 09Build and deliver training with Product for Field Forum; help plan the calendar around launches
- 10Run train-the-trainer sessions with the Revenue Enablement team so enablement can scale delivery
- 11Review enablement-created content for technical accuracy before it reaches the field
- 12Maintain competitive battlecards using one consistent framework, so reps learn the structure once and can recall it under pressure
- 13Keep the competitive matrix current across hyperscalers, neoclouds, and managed inference providers
- 14Publish digestible analyst and industry updates with FAQs and "what to say" guidance, drawing on sources like SemiAnalysis and Gartner
- 15Keep ICP definitions current and help sellers identify and qualify new ICP targets
- 16Product one-pagers and datasheets for every product, ready to send
- 17Customer stories, each with a single business-impact slide reps can drop into any deck
- 18Infographics, top-ten lists, and short attention-grabbing assets for outreach and LinkedIn
- 19Build ROI/TCO calculators and other decision-support tools for sales
- 20Restructure and maintain content repositories so blogs, ungated content, and decks are discoverable, and so AI assistants and Field Guide can reliably pull the latest version
- 21Enforce version hygiene: one source of truth per asset, visible last-updated dates
Требования
- 0110+ years in product marketing, ideally in cloud infrastructure, AI, or machine learning
- 02Technical depth in AI/ML infrastructure: you understand the real differences between training and inference workloads, what makes an inference stack fast or cheap, and how customers actually evaluate compute
- 03Working knowledge of the competitive landscape: hyperscalers, neoclouds, managed inference providers, and the buy-vs-build calculus
- 04Fluency with sales messaging frameworks; Command of the Message strongly preferred
- 05Proven storytelling: you can take a technical concept and make a non-technical seller feel confident repeating it
- 06Real understanding of how enterprise sales works: pipeline stages, MEDDIC-style qualification, what a rep is actually doing in a first call, and why most enablement content goes unused
- 07Ability to work across a bench of product-line PMMs: synthesizing their work, not duplicating it, and holding the portfolio view none of them own individually
- 08Experience building content that sellers voluntarily reuse
- 09Prior experience at an infrastructure, semiconductor, or AI platform company
- 10Background as a sales engineer, solutions architect, or technical seller
- 11Comfort with data tooling to bui