Asset & Wealth Management - Deal Manufacturing Full-Stack Engineering - Vice President - Dallas

Job Description

Goldman Sachs Asset Management’s Alternatives platform manages over $400bn across private equity, growth equity, credit, real estate, and related strategies.

Alternatives Engineering builds scalable, data‑driven, and AI‑enabled technology that supports the private‑side investment lifecycle.

Deal Manufacturing Engineering develops tooling and automation that enable deal teams to source, evaluate, structure, and execute private‑market deals across Real Estate, Credit, and Growth Equity.

Role Overview

Goldman Sachs Asset Management’s Alternatives platform manages over $400bn across private equity, growth equity, credit, real estate, and related strategies.

Alternatives Engineering builds scalable, data‑driven, and AI‑enabled technology that supports the private‑side investment lifecycle.

Deal Manufacturing Engineering develops tooling and automation that enable deal teams to source, evaluate, structure, and execute private‑market deals across Real Estate, Credit, and Growth Equity.

Role Overview

We are seeking a Technical Vice President to join the Deal Manufacturing Engineering team within Asset Management Alternatives Engineering . This role has direct accountability for the design, delivery, and evolution of core platforms supporting private‑side deal origination, diligence, and execution across Real Estate, Credit, and Growth Equity.

As a Vice President, you will serve as a technical owner for key components of the Deal Manufacturing platform — setting architectural direction, leading complex initiatives end‑to‑end, and ensuring solutions meet Goldman Sachs’ standards for scalability, resiliency, security, and risk management . You will remain hands‑on while partnering closely with Product, business stakeholders, and engineering teams across Alternatives, and mentoring engineers in line with GS engineering standards.

AI at Goldman Sachs (and in this role)

Goldman Sachs is investing heavily in AI‑enabled engineering and business productivity . Within Deal Manufacturing Engineering, AI and LLMs are applied to real production workflows — accelerating development, improving platform quality, and enabling smarter solutions for investors and deal teams.

In this role, you will be expected to practically apply LLMs within engineering workflows and production systems. Hands‑on experience using LLMs to build and operate large‑scale applications is a strong plus.

What You’ll Do

• Own the architecture and technical direction for large‑scale, mission‑critical Deal Manufacturing platforms
• Design and deliver production‑grade full‑stack applications using Java, TypeScript, and Python
• Build scalable backend services and APIs, and modern web UIs using frameworks such as React or Angular
• Apply AI and LLM capabilities to enhance engineering efficiency and business productivity where appropriate
• Lead complex initiatives end‑to‑end in an Agile environment, from design through production
• Partner closely with Product, business stakeholders, and other engineering teams across Alternatives
• Mentor engineers, lead code and design reviews, and reinforce GS engineering standards
• Champion operational excellence, including CI/CD, testing, and platform reliability

What We’re Looking For

Basic Qualifications

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
• 5–8 years of software engineering experience, including technical leadership on complex systems
• Strong hands‑on experience with Java, TypeScript/JavaScript, and Python
• Proven experience building scalable, distributed systems , APIs, and microservices
• Experience developing modern web applications (React, Angular, or similar)
• Strong communication skills and ability to partner effectively with business stakeholders

Strong Plus / Preferred

• Hands‑on experience using LLMs to build and operate production‑scale applications
• Experience applying AI to improve engineering efficiency or business productivity
• Cloud experience (AWS preferred), with Docker and Kubernetes
• Experience with Spring Boot, Node.js, Kafka, or event‑driven architectures
• Background in financial services, private markets, or platform modernization efforts

ABOUT GOLDMAN SACHS

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: ml

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We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally

We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year.

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We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees’ priorities.

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