Job description
About Turing
Based in Palo Alto, California, Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilingualism, STEM and frontier knowledge; and leveraging that expertise to build real-world AI systems that solve mission-critical priorities for Fortune 500 companies and government institutions. Turing has received numerous awards, including Forbes’s “One of America’s Best Startup Employers,” #1 on The Information’s annual list of “Most Promising B2B Companies,” and Fast Company’s annual list of the “World’s Most Innovative Companies.” Turing’s leadership team includes AI technologists from industry giants Meta, Google, Microsoft, Apple, Amazon, Twitter, McKinsey, Bain, Stanford, Caltech, and MIT. For more information on Turing, visit www.turing.com. For information on upcoming Turing AGI Icons events, visit go.turing.com/agi-icons.
Position Overview
We are looking for a dynamic and results-driven Engagement Manager / Delivery Manager with a strong Computer Science foundation, a proven track record of leading large-scale delivery teams, and a client-first approach. In this role, you will oversee the successful execution of complex projects by managing end-to-end delivery, aligning cross-functional stakeholders, and upholding the highest standards of data quality and operational excellence.
The ideal candidate has a Tier-1 engineering background (IITs/NITs/BITS or equivalent), strong leadership experience managing teams of 30 to 100+ members, fluency in Python, and exceptional communication and analytical skills. Experience in fast-paced environments such as high-growth startups or consulting firms is highly desirable.
Key Responsibilities
Project Delivery & Client Management
- 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.
Team Leadership & Workstream Management
- 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.
Operational Excellence & Quality Assurance
- 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.
Technical Engagement & Analytical Thinking
- 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.
Must-Have Qualifications
- 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.
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.
Advantages of joining Turing:
- 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
Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review Turing’s GDPR notice here.
