---
title: 'Engineering Manager at Turing'
canonical: 'https://feeny.ai/job/engineering-manager-turing-united-states-rcggsd8zgvkx'
type: 'job'
last_seen: '2026-11-11'
---

# Engineering Manager at Turing

- **Company:** Turing
- **Location:** United States
- **Posted:** 2026-11-10
- **Last confirmed live:** 2026-11-11
- **Apply:** https://job-boards.greenhouse.io/turing/jobs/6241657004

## Job description

## 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](http://www.turing.com/).

Engineering Manager

## Role Overview

We are seeking an Engineering Manager to lead the development of internal tooling and quality-control systems that power AI training workflows. This role is ideal for a leader who enjoys working across application development, infrastructure, and applied AI. You will be part of a rapidly growing team solving complex problems in AI systems, working in a startup-paced environment with high expectations and short timelines.

The ideal candidate is someone who takes ownership beyond what their role technically requires, has a track record of shipping production systems, and is excited by the intensity of a fast-paced, ambiguous environment rather than looking for stable, predictable work.

## Key Responsibilities

Tooling and Platform Development:

- Build scalable platforms supporting data creation, annotation, evaluation, review, and delivery.
- Design and implement APIs, internal applications, and developer tooling that enable efficient workflows.
- Develop maintainable, well-tested code that scales with growing demands.

Quality and Efficiency:

- Improve dataset quality, task validation, model evaluation, and production efficiency.
- Build and iterate on evaluation frameworks that ensure quality and reliability of AI training outputs.
- Collaborate with research and domain experts to translate requirements into practical solutions.

Architecture and Standards:

- Own architecture, technical delivery, reliability, security, and engineering standards.
- Design and implement data pipelines for dataset creation, annotation, and delivery at scale.
- Contribute to technical design and architecture decisions that balance speed, quality, and maintainability.

Leadership and Mentorship:

- Mentor engineers and establish strong design, testing, and release practices.
- Partner with Operations, Product, and AI specialists to identify bottlenecks and deliver pragmatic solutions.
- Lead teams through urgent, high-pressure delivery schedules while maintaining quality and engineering excellence.

Technical Skills

Web Development - Node.js, React, NestJS, Next.js, Express

Python Engineering and Data Science - FastAPI, NumPy, Jupyter notebooks. Proficiency in large-scale data generation and data pipeline orchestration. Frameworks like Spark, Beam, or Dataflow preferred. Statistical analysis, data visualization, and data manipulation.

Infrastructure - Kubernetes, Docker, Pulumi, Terraform, infrastructure-as-code

AI Engineering - LangChain, LiteLLM, RL Gyms, LoRA and fine-tuning, AI agents, and Harbor

Quality Systems - Dataset validation, evaluation frameworks, automated testing, and QC tooling

## Qualifications

- Strong software engineering fundamentals with a proven track record of shipping production systems.
- Experience leading teams effectively in fast-paced, ambiguous environments.
- Demonstrated ability to balance speed, quality, scalability, and maintainability in technical decisions.
- Strong debugging, problem-solving, and communication skills with cross-functional teams.
- Interest in the evolving challenges of training and evaluating AI systems.

What Success Looks Like

You lead a team that ships high-quality solutions enabling AI training workflows. You can identify technical bottlenecks, design pragmatic solutions, and guide your team to implement them reliably. You're energized by working across the full stack from infrastructure to application code, and you're excited about the technical challenges of building evaluation and quality-control systems for AI at scale while developing strong engineers.

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

- Work at the frontier of AI, helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.
- Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.
- Bring frontier AI innovation to the enterprise, applying lessons learned from leading AI labs to solve real-world business challenges.
- Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies.
- Move at the pace of AI innovation, with the speed, ownership, and impact of a startup.

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](https://www.turing.com/policy).

## About Turing

## Company Overview
- **One-liner**: Turing is an AI company that partners with leading AI labs and enterprises to advance frontier model capabilities and deploy end-to-end AI systems for mission-critical workflows.
- **Entity Type**: Private (raised $111M at a $2.2B valuation)
- **Headquarters**: San Francisco, California, United States (also offices in Palo Alto, CA)
- **Founded**: 2018
- **Founders**: Jonathan and Vijay (computer science alumni)

## Core Business
- Primary industry: Artificial Intelligence, Technology, Information and Internet
- Target customers: B2B, including Fortune 500 companies, frontier AI labs, and enterprises
- Mission: “Accelerate superintelligence to drive real economic progress”
- Operates across multiple areas: reasoning, coding, multimodality, multilinguality, STEM, agentic behavior, and frontier knowledge

## Products & Services
- **Frontier AI Lab Partnerships**: Collaborate with leading AI labs to build data, evaluations, and benchmarks that push the AI frontier forward (e.g., RL environments, data generation for pre-training/post-training).
- **Enterprise AI Systems**: Build and deploy end-to-end AI systems for mission-critical enterprise workflows.
- **Turing Talent Cloud**: AI-vetted pool of 4M+ software engineers, data scientists, and STEM experts used to train models and build AI applications.
- **ALAN Platform**: AI-powered platform for matching, managing talent, and generating high-quality human and synthetic data for model evals, fine-tuning, RLHF, and benchmarking.

## Market Standing
- **Valuation/Market Cap**: $2.2 billion (most recent funding round amount not explicitly dated, but cited on careers page)
- **Key Metric**: Total funding of $111M (from the $2.2B valuation round)
- **Notable Investors/Partners**: Adam D’Angelo (Facebook’s first CTO), Foundation Capital (backers of Netflix, Uber), executives from Microsoft, and others. Partners include Fortune 500 companies.
- **Growth Signals**: 48.1% YoY employee growth (reaching 3,896 employees), #1 on The Information’s “Top 50 Most Promising B2B Companies”, named one of Fast Company’s top 10 companies in the Workplace category, active job postings of 2,700 (+66.9% YoY).

## Competitive Advantages
- AI-vetted talent pool of over 4 million professionals, enabling rapid scaling of AI projects.
- Proprietary ALAN platform that orchestrates talent matching, data generation, and model evaluation.
- Deep partnerships with frontier AI labs, including work on large-scale RL environments and data generation.
- History of being built by engineering leaders from Facebook, Microsoft, and other top tech companies.
- Strong brand recognition and trust among enterprise clients (zero-risk trial for hiring).

## Strategic Focus
- Advancing artificial general intelligence (AGI) by improving model capabilities in reasoning, coding, agentic behavior, and multimodality.
- Expanding enterprise AI deployment across industries (e.g., financial services, robotics, STEM).
- Scaling the talent cloud and ALAN platform to support pre-training, post-training, and AI application development.
- Growing the workforce with a focus on research, engineering, and data science roles.

## Why Work Here
- **Culture**: Emphasizes “client first”, “startup speed”, “AI forward”, and “work with joy”. Described as a fast-paced, innovative environment.
- **Remote/Hybrid**: Many roles are remote-first globally, with offices in San Francisco and Palo Alto for in-person collaboration.
- **Perks**: Work on frontier AI technology with top labs; flexible, well-paid remote work; opportunities to contribute to superintelligence; strong career growth (48% YoY headcount increase).
- **Engineering Culture**: Heavy focus on R&D, research engineering, and data science; roles include Principal Research Engineer, Robotics Engineer, and Head of Applied AI Lab.
- **Workforce Diversity**: Operates in 100+ countries, with employees from India, US, Pakistan, Nigeria, Brazil, etc.

## Sources
1. [careers.turing.com](https://careers.turing.com/)
2. [job-boards.greenhouse.io/turing](http://job-boards.greenhouse.io/turing)
3. [linkedin.com/company/turingcom](https://www.linkedin.com/company/turingcom)
4. [welcome.turing.com/about/](https://welcome.turing.com/about/)
5. [turing.com/jobs](https://www.turing.com/jobs)

## Other roles at Turing

- [Research Engineering Manager, STEM](https://feeny.ai/job/research-engineering-manager-stem-turing-united-states-9xcm3w8qczrm) — United States
- [Technical Delivery Lead, Emerging](https://feeny.ai/job/technical-delivery-lead-emerging-turing-india-xan9qsqk4r9n) — India
- [Senior Technical Recruiter, Frontier AI](https://feeny.ai/job/senior-technical-recruiter-frontier-ai-turing-western-cape-skkep0pvasjx) — Western Cape, South Africa
- [Performance Marketing Analyst, Paid Acquisition](https://feeny.ai/job/performance-marketing-analyst-paid-acquisition-turing-bengaluru-assvd9d635tn) — Bengaluru, India / Chennai Tamil Nadu, India
- [Growth Analyst (Paid Acquisition)](https://feeny.ai/job/growth-analyst-paid-acquisition-turing-bengaluru-ve9h1z06pdqy) — Bengaluru, India
- [Software Engineer](https://feeny.ai/job/software-engineer-turing-global-united-states-90x59n6p5b8f) — Global / United States
- [Strategic Account Director, Enterprise AI (CPG)](https://feeny.ai/job/strategic-account-director-enterprise-ai-cpg-turing-plano-401nys46nnsa) — Plano, TX
- [Strategy and Operations Associate](https://feeny.ai/job/strategy-and-operations-associate-turing-india-0dv2sfg4dmj4) — India
- [Vice President, Business Development (BFSI)](https://feeny.ai/job/vice-president-business-development-bfsi-turing-new-york-q9rexme74hc7) — New York, NY
- [Partnerships Lead, Frontier AI](https://feeny.ai/job/partnerships-lead-frontier-ai-turing-palo-alto-m10fy7v6kbrt) — Palo Alto, CA / San Francisco, CA