VP – Product Development

Blackstone is the world’s largest alternative asset manager. Blackstone seeks to deliver compelling returns for institutional and individual investors by strengthening the companies in which the firm invests. Blackstone’s over $1.3 trillion in assets under management include global investment strategies focused on real estate, private equity, credit, infrastructure, life sciences, growth equity, secondaries and hedge funds. Further information is available at www.blackstone.com . Follow @blackstone on LinkedIn , X (Twitter) , and Instagram .

Firm Overview

Blackstone is the world’s largest alternative asset manager. Blackstone seeks to deliver compelling returns for institutional and individual investors by strengthening the companies in which the firm invests. Blackstone’s over $1.3 trillion in assets under management include global investment strategies focused on real estate, private equity, credit, infrastructure, life sciences, growth equity, secondaries and hedge funds. Further information is available at www.blackstone.com . Follow @blackstone on LinkedIn , X (Twitter) , and Instagram .

Business Unit

BXTI - Portfolio Technology

Business Description

Blackstone Technology & Innovations (BXTi) is the technology team at the core of each of Blackstone’s businesses and new growth initiatives. Serving both internal and external clients, we work to build the next generation of systems that manage risk, create efficiency and improve transparency within the firm and across our broad community of investors and portfolio companies.

BXTi is nimble and entrepreneurial – our open, iterative design processes and rapid pace of development mean that everyone on the team has the opportunity to make an impact from day one. We are problem solvers who can take projects from idea to implementation. We believe in active mentoring and developing excellence. We collaborate to find the best answers for our customers and for Blackstone. We are critical to the firm maintaining its competitive edge.

Job Title

VP – Product Development

Job Description

The Lead, Enterprise Technology Data & Analytics will establish and lead the Enterprise Technology Data & Analytics Team, driving the transformation of technology operations from reactive and responsive support models to proactive, predictive, and insight-led operations.

The leader will work closely with all other Enterprise Technology teams, SRE, Centralized Data Management and Architecture, Cybersecurity, and Enterprise platform teams to create actionable insights & visualisations that improve adoption/consumption, reliability, user experience, and operational efficiency[DC1.1][JM1.2] across the Enterprise Technology product landscape (Endpoint technologies, Messaging and collaboration platforms , AV and meeting room technologies, VDI, and AI platforms).

This is a highly cross-functional role combining strategy, analytics, operational understanding, stakeholder management, and hands-on execution.

Key Responsibilities

Full-stack platform modernization & automation – Leads the end-to-end transformation of a complex cloud-based software platform. This includes migrating a legacy monolithic Python “panel” system to a microservices architecture in Python, developing a robust AWS-centric distributed system, and embedding generative AI capabilities for multi-modal inputs/outputs. The role’s remit spans from UI framework adoption (design system-driven React frontend) to backend service overhaul and establishing AI-driven development processes for rapid, high-quality software delivery.

Broad cross-functional leadership – Oversees an engineering team that spans frontend, backend, DevOps, and AI/ML. The role works to ensure a cohesive architecture and engineering standards. It involves collaborating closely with portfolio advisors to get a deep understanding of underlying “customer” needs and managing the roadmap. In essence, this leader orchestrates efforts across all layers of the stack and aligns internal and external stakeholders to deliver an integrated, next-generation platform.

AWS Cloud & Microservices backbone – The platform comprises a ReactJS front-end built on a shared design system, and a Python-based microservices backend (transitioning from older “Panels” infrastructure to Python services). Services are stateless and communicate via a message bus (event-driven, asynchronous communications). Data persistence uses AWS RDS (MySQL) for transactional data and object storage (e.g. S3) for unstructured content. The architecture supports multi-modal capabilities, incorporating generative AI components and external system integrations through a robust API layer.

Robust data architecture & integration – Responsible for designing and governing the data layer to ensure reliability and performance. This includes optimizing relational schemas (MySQL) for business data and managing object stores for large or unstructured data (images, documents, model outputs). The role ensures data flows seamlessly between internal microservices and external systems through secure APIs, and that multi-modal data (text, voice, image) is properly handled. It also involves maintaining data quality, consistency, and compliance, especially as generative AI models produce or consume data.

Strategic architecture with deep DevOps integration – The role has a strong emphasis on architectural design (domain-driven microservice boundaries, API strategy, tech stack selection) paired with heavy focus on operational excellence. The leader is accountable for implementing full CI/CD automation, rigorous observability (including cost/financial monitoring, security, performance metrics, and automated alerts), and ensuring high availability. In short, this position balances visionary architecture leadership with hands-on operational rigor to achieve a scalable, resilient platform. Extensive multi-domain expertise – Requires broad and deep knowledge across the entire tech stack: modern web UI development (React, design systems), Python service development, cloud infrastructure (AWS services, containerization, networking), and event-driven microservices (message queues, stateless processing). The individual must also be versed in AI/ML integration, especially generative AI applications (e.g., understanding of LLMs and multi-modal frameworks) to guide how AI features and agent-based automation are built. This depth enables effective decision-making on tooling, frameworks, and design trade-offs in each area of the platform.

Visionary leadership with strong technical acumen – Predominantly a leadership and strategy role, setting technical direction and nurturing an “AI-native” engineering culture. However, it demands high technical credibility and hands-on understanding: the leader should be capable of reviewing complex code or architecture, quickly prototyping solutions, and validating AI-generated outputs when needed. In practice, the role is about empowering both human engineers and AI agents, guiding design decisions, and stepping in to resolve critical technical challenges or refine approaches drawn from automated development tools.

AI-augmented engineering & platform innovation – Uniquely focuses on marrying cutting-edge cloud architecture with generative AI-driven development. This role stands out for pioneering an agent-native software development model (experience with Claude Code): orchestrating AI agents to handle coding, testing, documentation, and monitoring, while humans provide oversight and domain context. The leader’s hallmark is driving unprecedented automation and scale in both the platform’s capabilities (multi-modal, intelligent features) and its delivery process (fully automated CI/CD & observability with minimal manual intervention).

Qualifications

Blackstone seeks to hire individuals who work well in a team-driven working group, are highly motivated, intelligent, have sound judgment and have demonstrated ex