--- title: 'Head of Engineering, Enterprise AI at Turing' canonical: 'https://feeny.ai/job/head-of-engineering-enterprise-ai-turing-new-york-kmtp00q88k70' type: 'job' last_seen: '2026-10-21' --- # Head of Engineering, Enterprise AI at Turing - **Company:** Turing - **Location:** New York, NY - **Posted:** 2026-10-19 - **Last confirmed live:** 2026-10-21 - **Apply:** https://job-boards.greenhouse.io/turing/jobs/6227623004 ## 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/). About the role: Your mission is to lead the Turing Enterprise AI Platform technical team. The SDK shipped in late 2025 and the control plane has existed since early 2026; the platform is being hardened for first tenants in Q1 2027. You will build the team into a platform organization of eight to ten, and set the seams with the Chief AI Architect, who owns client-facing architecture and the evaluation agenda. ## Role responsibilities - First 90 days: Publish the hardening backlog with clear exit criteria; ensure four Q4 engineers are hired or in offer stage. - Q1 2027 Goals: Release the control plane as a no-fee trial to first tenants; ensure tenant onboarding is completed in under four weeks. - First Year Deliverables: Deliver a model-agnostic, multi-tenant control plane with an agent builder, model gateway, evaluations, FinOps, observability, guardrails, RBAC, and connectors, deployable in client cloud and sovereign environments. Secure at least one client use case with a measured eval and a trained model beating frontier baselines. - Ongoing Alignment: Conduct weekly roadmap reviews with the President and Chief AI Architect, utilizing engagement leads as the voice of the client. Required skills & Qualifications - Platform architecture for multi-tenant enterprise software and self-hosted deployment - Hands-on with LLM systems: orchestration, evaluation, serving, fine-tuning - Hiring quickly at a high bar; running a team of eight to fifteen - Enterprise security, identity and hosting with regulated customers Qualification criteria - 15+ years in software engineering, with at least 5 years leading platform or infrastructure teams that shipped multi-tenant enterprise software. - Proven experience in platform architecture for multi-tenant enterprise software and self-hosted deployments. - Hands-on expertise with LLM systems, including orchestration, evaluation, serving, and fine-tuning. - Must have personally written production code in the last two years. - Demonstrated success in taking a platform from an internal tool to an externally licensed product. - Proven track record of hiring quickly at a high bar and running a team of 8 to 15 people. - Deep knowledge of enterprise security, identity, and hosting with regulated customers (must have worked under a bank or regulator's security review). ## Nice to have - Experience building or scaling a platform inside a services or forward-deployed organization; financial services background. You may not be a fit if: - You've been in a pure management track for 5+ years - You possess a solely consumer or solely services background - You do not have experience working under a bank or regulator's security review 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 - [Senior Software Engineer, AI Evaluation Infrastructure](https://feeny.ai/job/senior-software-engineer-ai-evaluation-infrastructure-turing-united-states-j258xrs9gccj) — United States - [Compliance Analyst](https://feeny.ai/job/compliance-analyst-turing-brazil-18qpxhsay329) — Brazil - [Product Manager](https://feeny.ai/job/product-manager-turing-india-6w9tm1m6f9zh) — India - [Compliance Analyst](https://feeny.ai/job/compliance-analyst-turing-india-cs0s607xcs9p) — India - [Director, Investor Relations & Corporate Development](https://feeny.ai/job/director-investor-relations-corporate-development-turing-san-francisco-mpe9p2fjwdrp) — San Francisco, CA - [Engagement Manager](https://feeny.ai/job/engagement-manager-turing-dallas-jeh8jdvtevjb) — Dallas, TX - [Machine Learning / Data Engineer](https://feeny.ai/job/machine-learning-data-engineer-turing-colombia-huila-ckzp1y85mrj9) — Colombia Huila, Colombia / São Paulo, Brazil - [Partner Manager, AI Ecosystem Partnerships](https://feeny.ai/job/partner-manager-ai-ecosystem-partnerships-turing-united-states-wbtt05s58nrp) — United States - [Senior Engineering Manager](https://feeny.ai/job/senior-engineering-manager-turing-colombia-huila-vr1q8b6t97d5) — Colombia Huila, Colombia / São Paulo, Brazil - [Senior Software Engineer](https://feeny.ai/job/senior-software-engineer-turing-sao-paulo-mt7mfcq704yz) — São Paulo, Brazil