Frontier Data Lead - Finance

About Turing

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

Job Title: Frontier Data Lead - Finance 

Location: Remote or San Francisco

Overview

We are looking for a Frontier Data Lead to act as a technical owner for our Finance data projects. In this high-impact individual contributor role, you will report directly to the Head of Frontier Data and are responsible for the end-to-end success of data delivery—specifically balancing quality, volume, and deadlines.

You will not manage the crowd workforce directly. Instead, you will define the how: you will architect the data generation process, write the automation scripts, set the quality rubrics, and drive the Data Operations team to execute your vision. You are responsible for the revenue growth and technical integrity of your domain.

Key Responsibilities

1. Process Architecture & Technical Operations

• Define the Process: Design and review the end-to-end data generation workflow for every new project, ensuring it is scalable and robust.
• Drive Technical Ops: Act as the technical director for the Strategic Project Lead; you provide the roadmap and technical requirements that the operations team executes.
• Tooling & Automation: Design specialized tooling requirements and write scripts (Python/SQL) to automate Quality Assurance, reducing manual bottlenecks.
• Data Formatting: Define and validate the final data formats (JSON, JSONL, etc.) to ensure seamless integration for the client.

1. Quality Assurance & Standards

• Set the "Gold Standard": Personally generate the initial data samples to establish the quality benchmark for the project.
• Rubrics & Guidelines: Create detailed data generation guidelines and rigid Quality Rubrics that objectively measure success.
• Instruction Finalization: Audit client requirements and work with the Strategic Project Lead to finalize clear, bulletproof instructions for the talent pool.
• Training Oversight: Review and approve the training and onboarding materials to ensure the talent pool is technically capable of delivering the work.

1. Client Solutioning & Growth

• Solutioning Partner: Lead technical solutioning conversations with clients, translating their complex AI training needs into executable data strategies.
• Revenue Responsibility: Own the revenue generation and growth targets for your specific data domain.
• Proof of Value: Design and execute "Proof of Value" pilots to demonstrate technical capability and win new business.
• Feedback Loops: Aggressively collect and analyze client feedback to iterate on instructions and improve output immediately.

1. Strategic Collaboration

• Marketing Technical Input: Collaborate with Marketing to provide the technical "meat" for case studies and white papers that demonstrate our expertise.
• Cross-Functional Bridge: Serve as the connector between the commercial side (Clients/Sales) and the production side (Data Ops), ensuring no technical nuance is lost in translation.

Success Metrics (KPIs)

• Project Delivery: 100% on-time delivery of data volumes.
• Quality Acceptance: maintaining a >95% acceptance rate on client deliverables.
• Revenue Growth: Year-over-year growth of the [Domain] vertical.

Required Qualifications

• Subject Matter Expert: Deep expertise in Finance, and specifically PE/VC/IB.
• Technical Builder: Proficient in scripting (Python) and comfortable designing automated QA workflows.
• Project Driver: Proven ability to deliver complex projects on tight deadlines without compromising quality.
• Commercial Mindset: Understands that high-quality data is a product that drives revenue; comfortable in pre-sales and solutioning environments.

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 Al 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:

• 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

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. 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.