Director Of Engineering – AI/ Decision intelligence platform

  • Bengaluru
Job Details
10+ Years of Experience

Full Job Description

“Built from the ground up for cloud scale and AI, the first decision intelligence platform to handle ad hoc query and compute-intensive ML/AI workloads, raising data scale by 100x and speeding discovery of insights from hours to seconds.”

Enjoy the speed, scale, and elasticity you expect from a modern analytics experience. Rapidly analyze billions of data points across multiple sources, with near-zero maintenance to dynamically scale up or down to meet your performance needs.

  • 10+ years of active architecture, software design, engineering, and implementation experience in a complex and fast moving startup or mid-scale company environment.
  • Proven experience attracting, hiring, retaining and leading top engineering talent and high performance product engineering teams.
  • 5-8 years of in-depth experience within the Analytics / Business intelligence (BI) domain with strong understanding of the industry, market and competitive landscape.
  • Deep knowledge of Big Data Technologies like Hadoop, Spark and it’s related technologies
  • Deep knowledge of cloud technologies like Kubernetes, AWS and its related technologies Demonstrated expertise in designing highly available, fault-tolerant, scalable solution architectures.
  • As the director of engineering, you will work closely with our technical architects, senior engineers, and more on designing and nurturing our product infrastructure as well as architecture.
  • Partner with cross-functional core stakeholders in engineering, product management, program management, release management, QA, design, performance engineering, sales, and professional services teams to lead the technology vision and direction.
  • Leading the Engineering team to deliver to the product roadmap, with an emphasis on Agile web development processes, focusing on achieving high-quality results in an aggressive, faster-to-market manner.
  • Support all facets of team management to attract, engage, retain, and nurture teams of outstanding engineers (e.g., recruitment, mentoring, training and development, performance evaluation).
  • Developing the engineering team by providing coaching and mentoring to your team members, challenging individuals for peak performance and developing a logical career path for the department
  • Adjusting methodologies as necessary; anticipate technology changes and take steps to ensure development stays ahead or on track of the product roadmap
  • Additionally, you will work closely with the founder and the product team to refine and iterate on the product roadmap from time to time

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