Delivery Manager - US at Turing

United States

Turing Logo
Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, AI & Machine Learning, Data AnnotationIndustries

Requirements

Candidates must possess over 10 years of experience in engineering, program management, or the delivery of large-scale projects, with a proven ability to lead and scale teams of 100+ members and demonstrate measurable impact. A strong technical foundation in AI/ML, data annotation, and multimodal systems is essential, along with proficiency in Python or Swift for data analysis and automation. Strong mathematical and analytical skills for data-driven problem-solving, experience in data curation, annotation pipelines, and quality control are required. Excellent communication and stakeholder management skills, along with a track record of driving high-quality outputs under tight deadlines, are also necessary. Preferred qualifications include an advanced degree in Computer Science, Data Science, AI, or related fields, experience with gamification for workforce engagement, familiarity with modern project management tools and methodologies, and exposure to state-of-the-art multimodal AI technologies.

Responsibilities

The Delivery Manager will lead, mentor, and grow large-scale teams of annotators and trainers, driving performance management, career development, and targeted training while fostering a culture of excellence and implementing motivation strategies. They will define and manage project scope, objectives, timelines, and quality metrics, aligning with cross-functional stakeholders and proactively resolving delivery risks. The role involves owning quality control and data integrity across the annotation lifecycle, analyzing datasets for insights, implementing best practices for annotation and data curation, and sharing learnings to improve processes. Additionally, the Delivery Manager will partner with engineering and research teams to optimize internal tooling, stay abreast of AI/ML trends, champion innovations to improve efficiency, and maintain clear documentation for processes and training.

Skills

LLM
Multimodal AI
Data Annotation
Data Curation
Project Management
Team Leadership
Performance Management
Process Innovation
Tooling Innovation
AI/ML

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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