Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage.
Recognized by Forbes, The Information, and Fast Company among the world’s top innovators, Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com
Role Overview
The Engineering Manager (EM) will be responsible for driving end-to-end delivery across multiple environments, ensuring timelines, quality, stakeholder communication, and execution discipline are maintained. This role will coordinate across PMs, QA, frontend, backend, data, and client-facing teams to ensure projects are delivered on time and with the expected quality.
The Engineering Manager will act as the central owner for delivery planning, risk management, issue escalation, resource coordination, and release readiness.
Key Responsibilities
Delivery Ownership
Own end-to-end delivery for assigned environments and projects
Create and maintain delivery plans, timelines, trackers, and milestones
Ensure all teams are aligned on priorities, dependencies, and deadlines
Track progress daily and identify delays proactively
Ensure commitments made to clients are met
Project Planning & Coordination
Break down delivery into phases with clear owners and timelines
Coordinate work across:
Frontend
Backend
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Ensure dependencies are identified and managed early
Allocate resources based on project needs and delivery timelines
Risk & Escalation Management
Identify delivery risks, blockers, and bottlenecks early
Escalate issues proactively when timelines, quality, or resources are at risk
Drive resolution of critical issues and P0 blockers
Maintain contingency plans for delayed or blocked workstreams
Stakeholder Management
Act as the primary coordination point between internal teams and leadership
Provide regular delivery updates, status reports, and risk summaries
Manage expectations with stakeholders on timelines, blockers, and tradeoffs
Ensure alignment between leadership, project teams, and client expectations
Quality & Release Readiness
Ensure QA, automation, harness reports, data quality checks, and documentation are completed before release
Conduct go/no-go reviews before delivery
Validate that all critical issues are resolved before sign-off
Ensure releases meet agreed quality standards
Metrics & Reporting
Track and report:
Delivery timelines
Resource utilization
QA progress
Defect trends
Escalations
Automation coverage
Delivery risk levels
Maintain dashboards and reports for leadership visibility
Use metrics to identify gaps and improve delivery efficiency
Team Management
Ensure pod leads and team members are executing effectively
Drive accountability across teams
Conduct regular follow-ups and review meetings
Help teams remove blockers and improve execution quality
Support hiring, onboarding, and resource planning where needed
Required Skills
Strong project and delivery management experience
Ability to manage multiple projects and cross-functional teams simultaneously
Strong stakeholder management and communication skills
Experience with delivery planning, risk management, and escalation handling
Strong understanding of QA, engineering, and release processes
Ability to drive accountability and execution across teams
Strong analytical and problem-solving skills
Experience with project tracking tools such as Jira, Asana, or similar
Preferred Skills
Experience managing SaaS, workflow, enterprise, or RL environment projects
Familiarity with frontend, backend, QA, automation, and data workflows
Experience with resource planning and capacity management
Understanding of delivery metrics, harness reports, and quality dashboards
Experience working with global or client-facing teams
Success Metrics
On-time delivery rate
Reduction in missed deadlines
Lower number of escalations and delivery blockers
Improved QA and release readiness
Better resource utilization
Higher stakeholder satisfaction
Faster issue resolution and triage
Values
We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection
We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
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
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.
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