Goldman Sachs · 3 days ago
AI Engineering & Science - Vice President - Product Management (New York, NY)
New York, NY
Full-time
Onsite
Senior Level, Lead/Staff
$150K/yr - $250K/yr
8+ years expGoldman Sachs is at the forefront of innovation in AI Engineering & Science, and they are seeking an experienced Vice President of Product Management to lead the strategy and execution for their core AI Engineering platforms. This role focuses on building scalable and developer-centric platforms that enhance AI innovation across the organization, ensuring internal teams have the best tools to drive business value.
BankingFinanceFinancial ServicesVenture Capital
Responsibilities
Define and articulate a compelling product vision and strategy for our AI Engineering platforms, aligning with overall business objectives and technological advancements in AI/ML/GenAI
Work closely with Engineering teams, Strat teams, Data Science teams, customers, and stakeholders to lay out a comprehensive platform roadmap. Understand and lead analyses of the competitive environment, market, customer needs, and product metrics to determine the right set of features to drive engagement and usage
Gather global product requirements, write detailed Product Requirements Documents (PRDs) for new features and enhancements, and work cross-functionally to bring these features live
Act as the primary advocate for our internal developer, strat, and data scientist customers. Deeply understand their needs, pain points, and workflows to translate them into clear, prioritized product requirements and user stories
Stay abreast of the latest trends and technologies in Artificial Intelligence, Machine Learning, Generative AI, and Agentic Systems. Incorporate cutting-edge capabilities into the platform roadmap to maintain a competitive edge
Develop and manage the strategy for leveraging various cloud providers (e.g., AWS, Azure, GCP) to build resilient, cost-effective, and high-performance AI infrastructure. Ensure seamless integration and portability across different cloud environments
Champion and integrate responsible AI principles, including bias mitigation, explainability, and adherence to ethical guidelines, into platform design and development
Qualification
Required
Define and articulate a compelling product vision and strategy for our AI Engineering platforms, aligning with overall business objectives and technological advancements in AI/ML/GenAI
Work closely with Engineering teams, Strat teams, Data Science teams, customers, and stakeholders to lay out a comprehensive platform roadmap
Understand and lead analyses of the competitive environment, market, customer needs, and product metrics to determine the right set of features to drive engagement and usage
Gather global product requirements, write detailed Product Requirements Documents (PRDs) for new features and enhancements, and work cross-functionally to bring these features live
Act as the primary advocate for our internal developer, strat, and data scientist customers
Deeply understand their needs, pain points, and workflows to translate them into clear, prioritized product requirements and user stories
Stay abreast of the latest trends and technologies in Artificial Intelligence, Machine Learning, Generative AI, and Agentic Systems
Incorporate cutting-edge capabilities into the platform roadmap to maintain a competitive edge
Develop and manage the strategy for leveraging various cloud providers (e.g., AWS, Azure, GCP) to build resilient, cost-effective, and high-performance AI infrastructure
Ensure seamless integration and portability across different cloud environments
Champion and integrate responsible AI principles, including bias mitigation, explainability, and adherence to ethical guidelines, into platform design and development
Preferred
Minimum 8 years of experience in product management, and at least 5 years in a role focused on AI/ML platforms, data platforms, or developer tools
Deep understanding of AI/ML algorithms, MLOps practices, data architectures, and distributed systems
Familiarity with modern AI frameworks and tools
Experience with major cloud platforms (AWS, Microsoft Azure, Google Cloud) and a strong understanding of cloud-native architectures and services
Proven track record of successfully building and launching products where developers or data scientists are the primary customers
Ability to define long-term product roadmaps, make data-driven decisions, and balance strategic vision with tactical execution
Exceptional leadership, communication, and interpersonal skills, with the ability to influence stakeholders at all levels and articulate complex technical concepts to diverse audiences
Company
Goldman Sachs
Goldman Sachs is a multinational financial services firm providing securities, investment banking, and management services.
10001+ employees
H1B Sponsorship
Goldman Sachs has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1954)
2024 (1685)
2023 (2060)
2022 (2326)
2021 (2258)
2020 (1572)
Funding
Current Stage
Public CompanyTotal Funding
$6B2025-04-23Post Ipo Debt· $6B
2012-06-05Post Ipo Equity
1999-05-14IPO
Leadership Team
David M. Solomon
Chair and Chief Executive Officer
John Waldron
President and Chief Operating Officer
Recent News
2026-01-09
BATimes Newspaper
2026-01-08
2026-01-08
Company data provided by crunchbase