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Product Marketing Manager at ScienceLogic
Reston, VA, US

What we're looking for...

The primary functions of the Enterprise Product Marketing Manager are to lead outbound marketing activities and accelerate sales enablement through packaging and productizing efforts. You will be accountable for the success of ScienceLogic product traction in the enterprise market for one or more of our Enterprise marketing programs. You will craft competitively differentiated messaging and positioning. You’ll conceive and develop the go-to-market strategy and innovating marketing programs that drive demand. Attention to detail and an eye for quality, along with the ability to grasp and translate technical capabilities into business benefits is crucial. In your role as a Product Marketing Manager you will be the expert in buyers, how they buy, and their buying criteria and will transfer that knowledge to our direct sales and marketing teams.

The right candidate will work efficiently and effectively with product management, sales, services delivery, finance, our office of the CTO, and marketing teams throughout the product lifecycle process. You will work closely with the sales organization to ensure the field is equipped to effectively communicate the value and capabilities of ScienceLogic’s enterprise solutions for different types and levels of buyers. This position will report to the Senior Director of Enterprise Product Marketing.

What you'll be doing...

  • Positioning: Develop product positioning, packaging, and messaging that differentiates your products in the market
  • Sales enablement: communicate the value proposition of our products to the sales team and develop sales tools that support the ScienceLogic selling process (buyer personas, playbooks, battle cards, etc.)
  • Content development: Leverage strong content creation background to develop content, including sales collateral and tools, videos, white papers, website content, and other demand-generating content
  • Product launches: position and plan the launch of new products and product releases and drive the cross-functional implementation of the plan
  • Market intelligence: be the expert on your buyers, how they buy and their buying criteria; be the expert on your competition and how to win in the marketplace
  • Demand generation: Work closely with the ScienceLogic Demand Generation team to develop and execute integrated marketing campaigns, go-to-market strategies and marketing programs that drive demand for ScienceLogic products aimed at targeted markets and audiences
  • Communication: Communicate effectively with internal and external customers, prospects, industry analysts, media, as well as internal cross-functional teams at all levels of the organization (C-level to individual contributor)

Qualities you possess...

  • Bachelor degree required, computer science or engineering highly desired.
  • MBA highly desired
  • 5-10+ years of enterprise software product marketing experience
  • Demonstrated knowledge of Enterprise Cloud systems & IT infrastructure/application management market and customer intimacy highly desired
  • Proven track record of positioning enterprise software products effectively to different external and internal audiences
  • Experience in early stage and/or emerging markets preferred
  • Sales-driven philosophy that enables field success and revenue capture; with demonstrated ability to discuss value in metric-driven business terms
  • Deep sales enablement, training, and sales content experience preferred
  • Strong project management and cross-functional coordination skills with the ability to multi-task, prioritize issues/escalations, and manage many products simultaneously
  • Exceptional communication skills (written, verbal, and presentation)
  • Executive presence
  • Pragmatic Marketing training preferred

 

About ScienceLogic

ScienceLogic is a leader in IT Operations Management, providing modern IT operations with actionable insights to resolve and predict problems faster in a digital, ephemeral world. Its solution sees everything across cloud and distributed architectures, contextualizes data through relationship mapping, and acts on this insight through integration and automation.