Engineering Manager

About Turing

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

QA

Data

Automation

PM teams

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