Senior Technical Product Marketing Manager

New York, New York

What Will You Do?

  • Develop deep understanding of the space and trends within the enterprise data and analytics ecosystem
  • Deep dive into the technical and data team persona and sharing industry insights by tapping into 3rd party research and talking directly with our prospects and customers.
  • Develop technical collateral such as demos, webinars, videos, white-papers, competitive insight, ROI tools
  • Create strong, compelling, credible and consistent positioning and messaging that differentiates Sisense products and services for technical buyers in the market
  • Support Marketing, Sales and Partner teams by translating market insight into rich suite of collateral 
  • Enable the field facing teams by communicating the product value proposition and develop sales tools that support the selling process of Sisense products in the enterprise market.
  • Influence product development according to market research, competitive research and analysis.
  • Foster deeper awareness for the company and our products by delivering briefings or holding inquiries with the global analyst community
  • Review and comment on market research and competitive analysis relating to the enterprise buying persona.

 

What Should You Have?

  • At least 3-5 years of technical product marketing experience with at least 2-3 years’ experience in a technical or field-facing role related to data, analytics, or business intelligence
  • Proven ability to articulate complex technical concepts in simple terms that make sense to customers and a passion for product storytelling
  • Strong analytical skills and the ability to dig into customer data for insights
  • Creative thinker with the drive and skill to execute with minimal direction
  • Proven ability to own and drive go-to-market strategies
  • Experience in industry research, and persona development
  • Ability to influence sales on market positioning, product positioning and product messaging
  • Ability to forge strong relationships with business partners at all levels of the organization within a multicultural, international environment.
  • Highest ethical standards consistent with the policies and values of the company

Nice to Have

  • Data Science, machine learning, or data engineering experience a strong plus
  • Bachelor's or Masters degree in technology field; Computer Science or Engineering is a plus

I'm In!