Engagement Manager Delivery Manager

Summary

Join Turing, a rapidly growing AI company, as an Engagement Manager/Delivery Manager. You will oversee the successful execution of complex projects, managing end-to-end delivery and aligning cross-functional stakeholders. This role requires a strong Computer Science foundation, experience leading large-scale delivery teams, and a client-first approach. The ideal candidate possesses a Tier-1 engineering background, strong leadership skills, fluency in Python, and exceptional communication and analytical abilities. Experience in fast-paced environments is highly desirable. Turing offers a competitive compensation, flexible working hours, and a full-time remote opportunity.

Requirements

• Bachelor’s degree in Computer Science or related field from a Tier-1 engineering institute (IITs, BITS, NITs preferred)
• 5–8 years of experience in project delivery, operations, or client services
• Demonstrated experience managing large, diverse teams (70–100+) or multi-layered vendor teams
• Proficiency in Python; working knowledge of JavaScript is a plus
• Excellent written and verbal communication skills with strong client-facing presence
• Proven ability to define scalable workflows, maintain SLAs, and operate under tight deadlines
• Strong analytical, organizational, and problem-solving capabilities in high-ambiguity settings

Responsibilities

• Own end-to-end delivery of client engagements across multiple workflows and domains
• Drive project planning, execution, risk management, and retrospective analysis
• Act as the primary point of contact for clients — translating evolving requirements into actionable plans
• Collaborate with internal program managers, engineers, and QA leads to ensure seamless execution and alignment
• Lead cross-functional teams of 30–100+ professionals, including project managers, QA leads, and annotators
• Define team structures, monitor workloads, and optimize efficiency through data-driven dashboards and performance metrics
• Foster a high-performance culture through mentorship, role clarity, and continuous feedback
• Scale teams rapidly to meet fluctuating project demands, including recruitment and onboarding initiatives
• Own and evolve Standard Operating Procedures (SOPs), SLA adherence, and delivery improvements
• Monitor and improve KPIs such as AHT, throughput, quality scores, and defect rates
• Identify bottlenecks and deploy technical/process improvements to mitigate them
• Partner with cross-functional teams to implement automation, improve tooling, and standardize workflows
• Work hands-on with Python-based tools, automation scripts, and annotation platforms
• Analyze large datasets to develop and monitor quality frameworks
• Collaborate with engineers and data scientists to define metrics and calibration processes
• Solve ambiguous operational challenges using first-principles thinking and structured experimentation

Preferred Qualifications

• Master’s degree or MBA from a top business school (IIMs, ISB, or equivalent)
• Experience in consulting, AI/ML operations, or high-growth product/startup environments
• Familiarity with Agile methodologies, sprint planning, and operational tooling

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