Product Manager – Asset Management & AI Solutions at Turing

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

21 Feb, 26

Salary

0.0

Posted On

24 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Product Management, Machine Learning, Data Platforms, AI Solutions, Data Strategy, Governance, MLOps, Python, SQL, PySpark, Stakeholder Management, Analytical Mindset, Communication Skills, Entrepreneurial Problem Solver, Data Transformation, Intelligent Automation

Industry

technology;Information and Internet

Description

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 We are seeking a Strategic Product Manager to lead the design, deployment, and optimization of AI-driven data platforms and decision intelligence products within the financial services and asset management sectors. The ideal candidate has experience building and scaling machine learning (ML) and large language model (LLM)systems, driving data transformation initiatives, and aligning AI capabilities with complex business and investment strategies. **This position is 3 days/week onsite in NYC Key Responsibilities AI & Data Platform Development: Lead the end-to-end deployment of LLM and analytics platforms to improve data-driven decision-making across trading, risk, and portfolio management functions. Machine Learning Operations (MLOps): Manage AI model lifecycles, including fine-tuning, evaluation, and performance optimization, ensuring scalability and accuracy for real-world financial datasets. Data Strategy & Governance: Define product requirements for data ingestion, annotation, and transformation pipelines supporting analytics, forecasting, and compliance functions. AI-Powered Research Tools: Develop and manage conversation-style AI tools that enhance analyst and portfolio manager productivity through natural language interfaces for data exploration and reporting. Cross-Functional Leadership: Collaborate with engineering, quant, and business stakeholders to translate investment research goals into actionable AI features and insights. Efficiency & Tooling Innovation: Design internal productivity tooling to improve data operations throughput, reduce time-to-insight, and support consistent data quality and compliance across products. Strategic Growth: Oversee partnerships and vendor integrations with AI/ML providers to extend product capabilities across asset classes and global markets. Qualifications 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. Desired Attributes 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. 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.

Responsibilities

Lead the design, deployment, and optimization of AI-driven data platforms and decision intelligence products within financial services. Collaborate with cross-functional teams to translate investment research goals into actionable AI features and insights.