Turing is hiring a
Engineering Manager

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Turing

๐Ÿ’ต ~$100k
๐Ÿ“Remote - India

Summary

Join Turing as an Engineering Manager - AI and lead a team of talented engineers, driving the technical vision and execution of complex projects. As a pivotal part of our engineering leadership, you will be responsible for prompt generation, work stream assignment to various pods, team throughput to task completion, spot reviews on tasks, and identifying high and low performers in teams.

Requirements

  • Expert-level knowledge and hands-on experience in Python and Javascript
  • Ability to guide the team in the architecture, design, and implementation of scalable and maintainable codebases in these languages
  • Experience in leading projects that leverage Python for data analysis, backend development, or AI/ML applications, as well as JavaScript for front-end and full-stack development
  • Proficiency in data analysis techniques, including statistical analysis, data visualization, and data manipulation using tools like Pandas, NumPy, and SQL
  • Strong focus on data quality, ensuring that the data used by the team is accurate, consistent, and reliable
  • Ability to lead initiatives in data validation, cleansing, and enrichment to maintain the integrity of data-driven applications
  • Bachelorโ€™s or Masterโ€™s degree in Computer Science, Engineering, or a related field
  • 7+ years of experience in software development, with at least 2 years in a leadership role, and management experience on a team size of more than 5-6
  • Proven track record of leading and mentoring engineering teams to deliver high-quality software products
  • Strong problem-solving skills, with a focus on delivering results in a fast-paced, dynamic environment
  • Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams

Responsibilities

  • Lead innovation efforts in product features and processes
  • Manage idea/prompt collection and prioritization
  • Drive experimentation and iteration for optimal outcomes
  • Allocate projects based on skills and performance
  • Prioritize tasks to meet business goals
  • Coordinate with cross-functional teams for project alignment
  • Monitor progress using metrics like velocity and cycle time
  • Optimize development processes for efficiency
  • Ensure tasks meet quality standards before deployment
  • Perform quality control through task reviews
  • Provide actionable feedback to maintain high standards
  • Identify risks early and adjust processes accordingly
  • Conduct performance analysis through reviews and metrics
  • Provide mentorship, feedback, and talent management
  • Identify high performers for advanced roles and support development for others

Benefits

  • Amazing work culture (Super collaborative & supportive work environment; 5 days a week)
  • Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)
  • Competitive compensation
  • Flexible working hours
  • Full-time remote opportunity

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