Product Manager – Asset Management & AI Solutions at Turing

New York, New York, 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

Financial Services, Asset Management, AIIndustries

Requirements

6-10 years of experience in product management, data platforms, or AI/ML applications within financial services, fintech, or analytics environments
Strong understanding of machine learning, data science, and model fine-tuning workflows
Proven ability to manage complex data ecosystems across multiple internal and external stakeholders
Technical proficiency in Python, PySpark, SQL, Git, HTML, and CSS
Experience leading initiatives that connect AI solutions to measurable business outcomes in asset management, trading, or risk analytics
Bachelor’s degree in Engineering, Physics, or related technical field; advanced degree preferred
Analytical mindset with strong quantitative and technical grounding
Ability to translate abstract investment or business objectives into practical AI-driven solutions
Exceptional communication and stakeholder management skills
Entrepreneurial problem solver with a passion for data transformation and intelligent automation

Responsibilities

Lead the end-to-end deployment of LLM and analytics platforms to improve data-driven decision-making across trading, risk, and portfolio management functions
Manage AI model lifecycles, including fine-tuning, evaluation, and performance optimization, ensuring scalability and accuracy for real-world financial datasets
Define product requirements for data ingestion, annotation, and transformation pipelines supporting analytics, forecasting, and compliance functions
Develop and manage conversation-style AI tools that enhance analyst and portfolio manager productivity through natural language interfaces for data exploration and reporting
Collaborate with engineering, quant, and business stakeholders to translate investment research goals into actionable AI features and insights
Design internal productivity tooling to improve data operations throughput, reduce time-to-insight, and support consistent data quality and compliance across products
Oversee partnerships and vendor integrations with AI/ML providers to extend product capabilities across asset classes and global markets

Skills

Product Management

Machine Learning

Large Language Models

LLM

MLOps

Data Platforms

Data Ingestion

Data Transformation

Data Governance

Analytics

Forecasting

Trading

Risk Management

Portfolio Management

AI Model Fine-tuning

Model Evaluation

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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