Strategic Projects Lead - Finance, San Francisco

Turing • San Francisco, CA

14d • Hybrid

About The Position

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage. Recognized by Forbes, The Information, and Fast Company among the world’s top innovators, Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com We’re seeking an experienced Strategic Projects Lead to oversee the end-to-end execution of finance-domain datasets powering large language models (LLMs). In this role, you will lead cross-functional teams of finance experts, data annotators, QAs, and client partners to ensure on-time, high-quality, and cost-effective dataset delivery. You’ll drive operational excellence, scale delivery capabilities, and continuously refine processes to enhance productivity and quality.

Requirements

• Bachelors/ Masters degree or PhD in Finance
• Strong domain knowledge of finance workflows and 3-5 years of experience in one of the following domains - Investment Banking, Private Equity, Venture Capital, Trading.
• Excellent stakeholder management skills, strong verbal & written communication (English).
• Strong analytical and organisational skills; comfortable working in an ambiguous, fast-paced environment.
• Experience with vendor/outsourced delivery models, including setting up SLAs, KPIs, quality metrics.
• Comfortable with basic budgeting and resource planning.

Responsibilities

• Define the Financial Taxonomy: Design and maintain the canonical taxonomy for financial concepts, workflows, and document types (models, memos, CIMs, TAM analysis, NDAs, etc.) to guide model training and evaluation.
• Domain Leadership: Serve as the finance subject matter authority, ensuring that all model training datasets align with best practices across investment banking, private investing (PE, growth, VC)
• Data Frameworks & Standards: Define data collection, labeling, and evaluation standards to ensure consistency, interpretability, and financial rigor in all training materials.
• Financial Modeling & Valuation Oversight: Set quality benchmarks and review frameworks for model accuracy across DCFs, LBOs, comparables, merger models, and returns analyses..
• Investment & Market Analysis: Develop structured templates and data patterns for qualitative analyses and investment memos..
• Structuring Deal Processes : Encode and standardize processes for CIM evaluation, NDA/legal document understanding, and deal sourcing workflows for AI use.
• Practice Leadership: Build and lead a team of financial experts to continuously refine and expand the finance knowledge base used for model training.
• Quality Assurance: Establish metrics and review loops to evaluate model outputs and ensure fidelity to financial logic and standards.

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

What This Job Offers

• Job Type: Full-time
• Education Level: Ph.D. or professional degree
• Number of Employees: 1,001-5,000 employees