Engineering Manager

About the role

About Turing

Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com.

Engineering Manager, (Technical Team Lead)

Location: Remote, Brazil, Colombia, Argentina

Status: Full-time

Role Overview

As a Engineering Manager (Technical Team Lead) at Turing, you will be a pivotal part of our engineering leadership for AI initiatives. This is not a pure people management role. You will be expected to be hands on: able to operate on the data, organize the stack, set up infrastructure, and personally deliver a project if no one else is available. You will lead a team through a rapid iteration, startup paced environment with high expectations and short timelines, while also driving the technical vision and execution of complex projects.

The ideal candidate is someone who takes ownership beyond what their role technically requires, has a track record of delivering under pressure, and is excited by the intensity of a startup environment rather than looking for a more comfortable, longer timescale management track.

Key Responsibilities

Hands On Technical Ownership:

- Operate directly on data, organize the technical stack, and set up infrastructure as needed.

- Be the technical fallback who can personally deliver a project if no one else is online to do it.

- Guide the team in architecture, design, and implementation of scalable, maintainable codebases.

- Build and use AI agents, and review the team's agent based work, since this role requires evaluating agent output directly rather than only reviewing human written code.

Prompt Generation and Innovation:

- Lead innovation efforts in product features and processes.

- Manage idea and prompt collection and prioritization.

- Drive experimentation and iteration for optimal outcomes.

Work Stream Assignment Across Pods:

- Allocate projects based on skills and performance.

- Prioritize tasks to meet business goals.

- Coordinate with cross functional teams for project alignment.

Team Throughput and Task Completion: