Product Manager

Product | Bengaluru, KA | Full time

Job Description

Trifacta, the pioneer in data transformation, significantly enhances the value of an enterprise’s data by enabling users to easily transform raw, complex data into clean and structured inputs for analysis. Leveraging decades of innovative work in human-computer interaction, scalable data management, and machine learning, Trifacta’s unique Predictive Interaction technology creates a bidirectional partnership between user and machine, with each component learning from the other and becoming smarter through use. Trifacta is backed by venture capital firms Accel, Greylock, and Ignition Partners and is headquartered in San Francisco. Its founders and technical advisors include global leaders in data science, interaction design, and big data.

Requirements:
  • Minimum of 5 years of product management experience in the software industry, ideally in one of the data management domains (e.g. integration, transformation, machine learning or BI/analytics)
  • Exposure to platform technologies such as connectivity, metadata, programming DSLs highly desirable
  • Experience with Enterprise SaaS and cloud software product management
  • Experience working at a growth-stage software company or taking brand new product offerings to market
  • An agile, nimble, data-driven approach to product management
  • Comfortable cutting through ambiguity and getting to decisions
  • Self-driven, you can keep things moving forward without external pressure
  • Collaborative engagement style focusing on communication across teams
  • Willing to travel occasionally to customers in Europe and HQ in San Francisco
  • Bachelor’s degree in computer science or a similar technical discipline 


Desired Skills:


  • Knowledge and exposure to data analysis and data management tools and solutions
  • Experience with cloud technologies and platforms such as AWS, Azure, or GCP is a huge plus
  • Flexibility working across different offices & geographically distributed teams and time zones
  • Experience analyzing and making decisions based off of product usage information
  • Strong analytical, written, and communication skills

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