Engineering Manager

About the Company

Based in Palo Alto, California, Turing is the world's first AI-powered tech services company. It has reimagined tech services from the ground up with AI by offering AI-vetted and matched talent, AI-accelerated development, and access to AI transformation experts who have built many of the most iconic Silicon Valley companies. Founded in 2018, the company has experienced tremendous growth with over two million global developers on its Talent Cloud and 900+ clients. Turing has received numerous awards, including Forbes's 2022 One of America's Best Startup Employers, being ranked #1 in The Information's 2021 Annual List of most promising B2B Companies and Fast Company's Annual List of the World's Most Innovative Companies. The company's leadership team comprises both AI technologists from leading organizations including Meta, Google, Microsoft, Apple, Amazon, Twitter, Stanford, Caltech, MIT as well as tech consulting veterans from Accenture, Cognizant, Capgemini, McKinsey, Bain, and more.

About the Role

We are seeking a hands-on Engineering Manager to lead coding data annotation and validation workstreams that support the training and evaluation of Large Language Models (LLMs). This role combines technical ownership, workflow execution, and people leadership. You will lead engineers and coding annotators while remaining actively involved in coding, system design, reviews, and quality enforcement.

Responsibilities

• Own end-to-end delivery of coding data generation and validation workstreams
• Lead client-facing execution; manage requirements, expectations, and delivery outcomes
• Partner with internal stakeholders (Delivery, PM, Research) to drive execution and quality
• Architect and run automation, execution environments, and quality gates
• Review code for correctness, clarity, robustness
• Deliver SFT, RLHF, benchmarks, verifiers, and GYM systems (UI & non-UI)
• Stay hands-on in Python; use JS/TS or other languages as needed
• Identify and resolve quality, scale, or delivery risks via root-cause fixes
• Lead engineers and annotators across defined workstreams
• Enforce coding standards, review processes, and quality frameworks
• Mentor team on code quality and debugging rigor
• Support hiring, onboarding, and ramp-up
• Collaborate with tooling and infra teams on execution pipelines
• Communicate status, risks, and trade-offs clearly to clients and stakeholders

Required Skills

• 7+ years hands-on software engineering experience
• Strong Python skills (JavaScript/TypeScript preferred; Java/C/C++ a plus)
• Experience leading engineering/coding teams while staying hands-on
• Ownership of code quality, reviews, and debugging
• Experience with competitive programming, multi-language code analysis, or system-level debugging
• Exposure to backend services, databases, automation workflows, or execution pipelines
• Experience with React/Next.js or GYM (UI/non-UI) systems
• Ability to architect and deliver end-to-end systems for coding annotation or LLM data workflows
• AI-forward mindset; personal AI projects or GitHub contributions are a plus