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Senior Product Marketing Manager
Posted on 2/1/2022
United States
Experience Level
Desired Skills
Data Analysis
Data Science
  • Bachelor's degree in a broadly relevant field, with some depth of coursework in key areas such as data science, computer science, statistics, mathematics, or applied mathematics. Computer science majors or liberal arts majors with some technical breadth encouraged to apply
  • 3+ years of proven product marketing experience ideally related to data science, machine learning, data management (Big Data), or analytics
  • Cross-functional team management and organizational skills, project management skills
  • Strong verbal communication skills; can engage internal leaders/teams across functions and external stakeholders
  • Strong written communication skills and the ability to synthesize complex information into clear and concise presentations, plans, and written content
  • Demonstrated track record of building and executing successful go-to-market programs and campaigns
  • Ability to understand and communicate an array of industry and technical use cases
  • Analytical mindset, interpreting and summarizing data with actionable insights
  • Technical- and business-benefit understanding of prevailing and emerging ML technologies
Desired Qualifications
  • Bachelor's or Master's degree in computer science or data science
  • MBA

11-50 employees

AI quality solutions
Company Overview
TruEra is on a mission of helping people and machines make better decisions together. The company provides the first AI Quality platform, to help enterprises analyze machine learning, improve model quality and build trust.
Company Values
  • Cutting-edge Technology - We thrive on solving hard, meaningful problems with advanced innovation.
  • Innovative and Talented People - When you work with creative, dedicated individuals, the impossible becomes possible.
  • Trust and Confidence - We believe that trustworthy, transparent AI can positively impact the world.
  • Fairness and Transparency - We are passionate about the responsible use of AI and reducing algorithmic discrimination.