Product Manager

Refer

Who are you?

You are responsible for the entire product strategy and execution. You gather and prioritize the product and customer requirements, define the product vision, and work closely with technical, sales, marketing, and support to ensure revenue and company goals are met.

Responsibilities:

  • Establish the vision for the next generation of computing infrastructure. Work across the teams to execute the vision and deliver the product.
  • Be the master of mentalism, exploring creative ways to hook the users to the product by designing intuitive and simple product interfaces. Consistently assess and analyze the impact of existing and new features
  • Own the entire product strategy from sneak views and new launches to product walkthroughs and upselling
  • Proactively engage with the developer community both at NimbleEdge and beyond to continuously gather interest for new features.
  • Develop the product roadmap and build a consensus on feature prioritization for efficient execution.
  • Discovers new opportunities and solutions for problems by looking beyond current practices and using innovative thinking
  • Engage with the open-source community in planning the roadmap and organizing public code sprints.
  • Aligning various stakeholders spanning engineering team, operations, customer experience, and executive leadership to drive our execution strategy
  • Understanding key enterprise requirements and setting up compliance procedures for security, privacy, and reliability
  • Come up with innovative use cases for the product across industry verticals and support the Business Development and customer success teams.
  • Represent NimbleEdge in conferences across the world.

Key Skills:

• 4+ years of product management experience in machine learning and data infrastructure

• Strong empathy for building products for data scientists, researchers, and MLOps engineers.
• Experience with multiple moving products and aligning them together into a cohesive ecosystem
• Previous technical experience in building developer tools for data science pipelines or cloud infrastructure
• Strong understanding of technical architecture and data pipelines used in production. • Ability to learn and adopt new tools and processes.
• Expertise in writing, interpersonal communication, analytical skills, and visual communication.