Senior Technical Product Manager

Ramat Gan · Full-time · Senior

About The Position

We are looking for a Senior Product Manager who has the breadth of skills and experience that will make our product loved by customers - someone who can develop a deep understanding of the SQream product. 

As a Product Manager, you will be responsible for product planning and execution throughout the product life cycle, including gathering and prioritizing product and customer requirements, defining the product vision, and working closely with engineering, sales, marketing, and support to ensure revenue and customer satisfaction goals are met.

Responsibilities:

  • Define the product strategy and roadmap
  • Deliver MRDs and PRDs with prioritized features and corresponding justification
  • Work closely with the engineering team in order to deliver new value to our customers
  • Perform market research and analysis, and assimilate relevant information, business potential, and market trends, including deep competitive analysis. 
  • Ability to develop compelling thought leadership content and thought leadership workshops that will engage customers and reinforce SQream’s position in the market
  • Partner with other members of the Product team on cross-company initiatives.
  • Engage with sales, marketing, and support to gain insight into how product features can accelerate and improve the sales process.

Requirements

  • Minimum of 5 years experience as a Senior Product Manager
  • Experience in working on a deeply technical product such as databases, and storage management platforms or similar
  • Strong SQL & data analysis skills
  • Experience with building SaaS products
  • Experience in shipping customer-facing analytics products (databases, data warehouses, data lakes, ETL) - plus
  • Be able to understand the inside of our products, get technical, and drill into details on owned areas.
  • Flourish in the dynamic atmosphere of being a member of a pioneering startup. That means you have to be flexible and adapt at handling ambiguity.
  • Experience working with a Data Science/ML stack, including Python, Jupyter, TensorFlow - plus
  • Understanding of Data Platforms, Machine Learning Frameworks, and common ML deployment patterns
  • Experience in working closely with enterprise customers and channel partners in the enterprise software industry - Plus
  • Demonstrated success in defining and launching excellent products
  • Excellent written and verbal communication skills
  • Strong technical background
  • English mother tongue - advantage

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