Delivery Manager Data Science US at Turing

San Francisco, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

Requirements

Expertise in LLMs, including Supervised Fine-Tuning (SFT), Reinforcement Learning from Human Feedback (RLHF), and RLAIF
Experience leading large-scale LLM training and Agentic AI programs
Technical depth in data science, ML engineering, and AI datasets/models
Operational mastery of large-scale AI execution and reproducible pipelines
Ability to oversee cross-functional teams of data scientists, ML engineers, Python developers, and data professionals
Strong program management skills for complex AI/ML initiatives, including goals, timelines, quality benchmarks, dependencies, and risk mitigation
Leadership in scaling distributed teams and fostering technical excellence, accountability, innovation, and engagement
Partnership skills with research/product leaders to translate requirements into execution plans
Proficiency in delivering program reporting with key metrics, challenges, and insights
Commitment to rigorous standards for data, model, and process quality

Responsibilities

Lead large, distributed teams of data scientists, ML engineers, and Python developers delivering high-quality AI datasets and models
Scale and operationalize data science workflows for SFT, RLHF, and RLAIF pipelines
Define and manage project goals, timelines, and quality benchmarks for multiple concurrent programs
Drive team performance, engagement, and innovation, fostering a culture of technical excellence and accountability
Oversee end-to-end delivery of complex AI/ML initiatives, ensuring client goals are achieved on schedule and within scope
Partner with internal research and product leaders to translate technical requirements into actionable execution plans
Manage dependencies across annotation, model training, and evaluation streams, mitigating risks proactively
Deliver clear and consistent program reporting, highlighting key metrics, challenges, and insights
Ensure rigorous standards for data, model, and process quality throughout the lifecycle

Skills

Key technologies and capabilities for this role

Data ScienceAILLMAgentic SystemsProject ManagementDelivery Management

Questions & Answers

Common questions about this position

Is this role remote or onsite?

The position is onsite in San Francisco, California, United States, with remote options available for candidates in India or Brazil.

What is the salary for this Delivery Manager position?

This information is not specified in the job description.

What skills and expertise are required for this role?

The role requires expertise in LLMs, Agentic AI systems, Supervised Fine-Tuning (SFT), Reinforcement Learning from Human Feedback (RLHF), and leading large-scale AI programs with technical depth and operational mastery.

What kind of teams will I be leading in this position?

You will lead large, distributed teams of data scientists, ML engineers, and data professionals, as well as oversee multiple cross-functional teams engaged in AI data and model development.

What experience makes a strong candidate for this Delivery Manager role?

Strong candidates will have a proven track record leading large-scale LLM training, Agentic AI programs, and delivery of datasets, fine-tuning workflows, and model alignment, with the ability to manage distributed cross-functional teams.

Turing

AI-driven matching of businesses with engineers

About Turing

Turing provides tech services by using artificial intelligence to connect businesses with skilled software engineers for custom application development and on-demand engineering needs. The company has a large pool of over 3 million vetted engineers from 150 countries, allowing businesses to quickly find the right talent for their projects. When a company needs a developer, they specify the required skills, and Turing's AI matches them with the best candidates, streamlining the recruitment process and helping companies complete projects faster. Turing also supports engineers by offering access to high-paying remote job opportunities in the U.S., with a high rematch rate ensuring job stability. The goal of Turing is to enhance recruitment efficiency for businesses while providing valuable job opportunities for engineers.

Palo Alto, CaliforniaHeadquarters

2018Year Founded

$132.3MTotal Funding

SERIES_DCompany Stage

Enterprise Software, AI & Machine LearningIndustries

1,001-5,000Employees

Risks

Competition from platforms like DevZero offering cloud-based development environments.

Crowded market with new AI-driven talent platforms like Gaper and Aloa.

Potential brand confusion with South Korean company Turing Co.

Differentiation

Turing uses AI to match businesses with over 3 million vetted engineers.

Turing's Talent Cloud accelerates team building, similar to scaling servers on AWS.

Turing offers a 99% rematch rate for engineers, ensuring job stability.

Upsides

Remote work trend boosts demand for Turing's remote engineer connections.

Global tech talent shortage increases reliance on Turing's AI-powered talent matching.

Turing's AI-driven recruitment tools enhance hiring efficiency and accuracy.

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