Team Leader - Code Generation, Data AI

Details

Bloomberg's Data AI group brings modern AI technologies into the Data organization while contributing deep financial domain expertise to the development of AI-powered products. The team focuses on optimizing data workflows and improving the quality, intelligence, and usability of the data that drives Bloomberg's products.

This is a hands-on leadership role focused on connecting autonomous workstreams, establishing shared technical and quality standards, and helping teams move from experimentation to scalable production. The role involves working with Product, Engineering, Data partners, and the CTO's Office to translate client needs, financial domain expertise, and model behavior into measurable improvements in Bloomberg's code generation capabilities.

Responsibilities

• Provide technical and operational leadership across client-facing code generation and agent workstreams, aligning leads on priorities, technical direction, quality standards, and delivery expectations.
• Establish shared technical and evaluation practices for natural language to code, structured generation, and agent workflows, with a focus on correctness, reliability, and client experience.
• Partner with Engineering, Product, AI teams, and domain experts to translate client and product needs into scalable generation, evaluation, annotation, and improvement strategies.
• Define and improve evaluation methodologies for generated code and structured outputs, including correctness, semantic fidelity, execution quality, robustness, and failure analysis.
• Drive improvements in client-facing AI outcomes by scaling tooling, automation, data pipelines, annotation workflows, and evaluation frameworks used to identify and address model and system failures.
• Serve as a technical escalation point and force multiplier by resolving ambiguity, identifying cross-workstream dependencies, advancing technical practices, and contributing hands-on to high-priority problems.

Requirements

• Significant experience in applied AI, machine learning, code generation, evaluation, data, software engineering, or a closely related technical field.
• Experience providing technical leadership across multiple projects or workstreams, including influencing peers and leading through expertise rather than formal authority.
• Strong technical fluency and the ability to engage credibly with Engineering and AI partners on prompts, schemas, APIs, data structures, evaluation design, and system behavior.
• Strong understanding of generative AI workflows and how evaluation data, annotation, grounding, structured representations, and quality measurement can improve model and product performance.
• Experience evaluating generated code or structured outputs using metrics, error analysis, execution results, and other signals of correctness, reliability, and production readiness.
• Strong analytical, communication, and coordination skills, with the ability to turn ambiguous client or system problems into structured, measurable improvement strategies across technical, product, and domain partners.
• Experience building or evaluating natural language to code, query generation, agentic systems, or other client-facing generative AI applications is desirable.
• Hands-on experience with Python, SQL, APIs, structured data, schemas, data pipelines, or similar technical tooling is desirable.
• Familiarity with BQL or other domain-specific query languages is desirable.
• Experience designing evaluation frameworks, automated evaluation systems, benchmarking approaches, error taxonomies, or annotation strategies for generative AI is desirable.
• Familiarity with execution-based evaluation, root-cause analysis, issue discovery, production monitoring, or closed-loop AI quality improvement workflows is desirable.
• Experience in financial services or another complex, domain-rich environment, with a track record of mentoring technical contributors and raising technical capabilities across a team, is desirable.

Compensation and Benefits

• Annual salary: USD 135,000–230,000.
• Benefits and bonus.
• Benefits may include merit increases, incentive compensation for exempt roles, paid holidays, paid time off, medical, dental, vision, short- and long-term disability benefits, 401(k) matching, life insurance, and wellness programs.