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About the Role
Blackstone is seeking a Vice President for BXDS Product Engineering, focusing on the deployment of agentic AI and machine learning models to enhance investment decision-making in Real Estate and Private Equity. This role involves building and maintaining models, designing cloud architecture and data engineering infrastructure, and applying these to various investment challenges.
Responsibilities
- Own the end-to-end delivery of agentic and machine learning models from prototype through production, user adoption, and ongoing support.
- Partner with data scientists to productionize, scale, and continuously improve agentic and statistical models, including feature pipelines, model serving, retraining, and versioning.
- Work with investment professionals to translate business questions into models and products, incorporating their feedback.
- Build and own the channels through which models reach users, such as web applications, MCP servers, automated reports, and Excel tools.
- Design and build agentic workflows and retrieval and reasoning systems over unstructured investment content.
- Implement data engineering best practices and ML/LLMOps tooling on AWS using modern CI/CD practices.
- Establish evaluation, monitoring, and guardrails for agentic and statistical models to ensure accuracy, traceability, and interpretability.
- Mentor junior team members through high-quality code implementation, thoughtful code reviews, and constructive feedback.
- Collaborate with BXDS and Blackstone Technology Innovations to build scalable core infrastructure.
Requirements
- Undergraduate degree in a technical discipline (e.g., computer science, data science, applied math, operations research, or engineering).
- 6+ years of relevant experience in a data-driven setting as a machine learning engineer, data scientist, software engineer, or data engineer.
- Expert proficiency in programming and querying languages including Python and SQL.
- Hands-on experience building and deploying agentic AI and machine learning applications, including agentic workflows, retrieval-augmented generation, model orchestration, MLOps, and evaluation frameworks.
- Experience with statistical and machine learning modeling (e.g., regression, forecasting, classification) and taking such models to production.
- Track record of owning the deployment of models into user-facing products such as web applications, APIs/MCP servers, automated reporting, and Excel-based tools.
- Strong foundation in statistics and mathematics.
- Experience creating financial analytical models and working with financial data.
- Strong communication and project management skills as a technical lead.
- Ability to effectively communicate technical concepts to non-technical audiences.
- Self-starter capable of working independently and meeting deadlines with minimal oversight.
- Capable of working independently as well as leading and coordinating a team on larger projects.
- Experience in private equity, real estate, or another investment domain is preferred.
- Familiarity with deal, portfolio-company, property, lease, or market data is preferred.
- Experience building or integrating MCP servers, LLM tool-calling, or agent frameworks is preferred.
- Experience with analytical methodologies and a desire to solve novel technical challenges is preferred.
- Excellence in balancing multiple projects and efficiently meeting goals in a dynamic environment is preferred.
Skills
- Agentic AI
- Machine Learning
- Software Engineering
- Python
- SQL
- Cloud Architecture
- Data Engineering
- Data Science
- MLOps
- CI/CD
- Statistical Modeling
- Financial Modeling
- Project Management
- Retrieval-Augmented Generation
- Model Orchestration
- LLMOps
- LLM Tool-Calling
- Agent Frameworks
Experience Level
- Vice President
- 6+ years of relevant experience
Education Level
- Undergraduate degree in a technical discipline
Salary/Compensations
- $175,000 - $200,000
Benefits
- Comprehensive health benefits (medical, dental, vision, FSA)
- Paid time off
- Life insurance
- 401(k) plan
- Discretionary bonuses
- Potential for equity and other incentive compensation
About the Company
- Blackstone is the world's largest alternative asset manager with over $1.3 trillion in assets under management.
- The firm focuses on delivering compelling returns by strengthening the companies in which it invests.
- Investment strategies include real estate, private equity, credit, infrastructure, life sciences, growth equity, secondaries, and hedge funds.
- BXDS Product Engineering is part of the firm-wide Blackstone Data Science team, which uses advanced analytics and statistical methods to improve investment and operational performance.
- BXDS collaborates closely with investment teams to analyze data, develop models, build data flows, and advise on data utilization.
Equal Opportunity
- Blackstone is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, creed, religion, sex, pregnancy, national origin, ancestry, citizenship status, age, marital or partnership status, sexual orientation, gender identity or expression, disability, genetic predisposition, veteran or military status, status as a victim of domestic violence, a sex offense or stalking, or any other class or status in accordance with applicable federal, state and local laws.
- This policy applies to all terms and conditions of employment, including but not limited to hiring, placement, promotion, termination, transfer, leave of absence, compensation, and training.
- All Blackstone employees, including recruiting personnel and hiring managers, are required to abide by this policy.
- Reasonable accommodation is available for individuals needing assistance to complete their application.