Turing · 2 months ago
Engineering Director - Delivery
Palo Alto, California, United States
Full-time
Onsite
Director/Executive
$255K/yr - $325K/yr
10+ years expTuring is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. The Engineering Director - Delivery will drive the development and execution of large-scale LLM training programs, focusing on dataset creation and high-quality data pipelines for foundational model training while collaborating closely with clients and cross-functional teams.
Artificial Intelligence (AI)Generative AIInformation TechnologyMachine LearningSoftware Engineering
Responsibilities
Lead the generation and delivery of high-quality, scalable LLM training datasets with a focus on SFT, RLHF, Reasoning, and agentic workflows
Oversee the end-to-end data lifecycle from client intake to delivery, including collaboration with the clients for defining the data requirements, writing down the data annotation steps/workflow, quality metrics, review workflows, and delivery setup
Serve as the primary client contact for large enterprise engagements; manage stakeholder expectations, requirements gathering, and delivery timelines
Collaborate with engineering, product, research, and delivery teams to ensure technical feasibility and alignment across workstreams
Develop, document, and refine best practices for prompt evaluation, data schema design, evaluation metrics (e.g., win rate, pairwise preference), and human-in-the-loop QA
Recruit, manage, and mentor engineering leads and program managers working across multiple AI training pods
Operate as a strategic business partner to our clients; provide insight on tradeoffs, resourcing, and performance metrics
Build internal capability by harvesting reusable assets and contribute in continued improvements across data quality, tools and processes
Qualification
Required
10+ years of experience building and leading large scale technical delivery teams
Proven ability to lead large cross functional teams (100+) by building strong operations
Bachelor's degree in Engineering, Computer Science or equivalent practical experience leading large-scale technical initiatives
Demonstrated experience managing large-scale dataset generation or annotation for LLMs, ideally with experience in RLHF or SFT pipelines
Strong understanding of quality review mechanisms including prompt win rate, agreement metrics, inter-annotator consistency, and preference modeling
Experience with human data generation across at least one of the modalities (Text, Image, Video, Audio)
Technical fluency in Python, cloud infrastructure, data platforms, machine learning concepts and modern Machine Learning tooling (e.g., HuggingFace, LangChain, Weights & Biases)
Strong communication skills with experience presenting to executive stakeholders, managing client escalations, and aligning delivery with strategic goals
Preferred
Prior experience at AI Data Platform companies
Past experience with retrieval augmented generation (RAG), fine-tuning, and human evaluation workflows
Familiarity with fine-tuning LLMs, prompt engineering at scale, and instruction dataset design
Familiarity with bench marks (SWE Bench, MMMLU, or equivalent)
Benefits
Amazing work culture (Super collaborative & supportive work environment; 5 days a week)
Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)
Competitive compensation
Flexible working hours
Company
Turing
Turing advances frontier AI and builds real-world systems for Fortune 500 companies, governments, and the world’s leading AI labs.
1001-5000 employees
H1B Sponsorship
Turing has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (16)
2024 (8)
2023 (7)
2022 (16)
2021 (6)
Funding
Current Stage
Late StageTotal Funding
$270.19MKey Investors
Khazanah NasionalAltaIR CapitalWestBridge Capital
2025-03-06Series E· $111M
2021-12-07Convertible Note· $6.85M
2021-10-04Series D· $87M
Leadership Team
Jonathan Siddharth
Founder & CEO
Vijay Krishnan
Founder & CTO
Recent News
Foundation Capital
2025-12-31
2025-11-22
Company data provided by crunchbase