Engineering Manager - AI

Role Overview:

As an Engineering Manager - AI at Turing.com, you will be a pivotal part of our engineering leadership. You will lead a team of talented engineers, driving the technical vision and execution of complex projects. Your role is a blend of hands-on technical expertise and strategic leadership, aimed at delivering high-quality software solutions while fostering a culture of continuous improvement and excellence.

Key Responsibilities:

Identifying High and Low Performers in Teams:

• Conduct performance analysis through reviews and metrics.
• Provide mentorship, feedback, and talent management.
• Identify high performers for advanced roles and support development for others.

Work Stream Assignment to Various Pods:

• Allocate projects based on skills and performance.
• Prioritize tasks to meet business goals.
• Coordinate with cross-functional teams for project alignment.

Team Throughput to Task Completion:

• Monitor progress using metrics like velocity and cycle time.
• Optimize development processes for efficiency.
• Ensure tasks meet quality standards before deployment.

Spot Reviews on Tasks:

• Perform quality control through task reviews.
• Provide actionable feedback to maintain high standards.
• Identify risks early and adjust processes accordingly.

Prompt Generation:

• Lead innovation efforts in product features and processes.
• Manage idea/prompt collection and prioritization.
• Drive experimentation and iteration for optimal outcomes.

Technical Skills:

• Strong Leadership in Your Skill:
• Expert-level knowledge and hands-on experience in Python and JavaScript, Swift, or ML/CV, with a deep understanding of their ecosystems, libraries, and best practices.
• 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.
• Data Analysis & Data Quality:
• 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.

Qualifications:

• Bachelor’s or Master’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.

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Last updated on Aug 28, 2024