About Goldman Sachs

Goldman Sachs is a leading global investment banking, securities, and investment management firm providing financial services to corporations, financial institutions, governments, and individuals.

Goldman Sachs currently has 187 open roles on FindRole.

Listed pay typically runs $130,000–$250,000 across 60 roles with salary data.

Most-posted roles

View all roles at Goldman Sachs

At a glance

TL;DR · Vice President, Asset & Wealth Management - Engineering - Marketing Technology

Role Posting Log in to save

The VP of MarTech Engineering will lead the strategic technical vision for Goldman Sachs' marketing and advertising ecosystem, focusing on modernizing the tech stack through AI integration and continuous marketing systems. This role involves designing complex MarTech stacks, ensuring seamless interoperability with internal APIs, and establishing engineering standards for best practices in campaign management. The candidate will define technical standards for integrating Large Language Models into the workflow to automate content generation and audience segmentation, while also optimizing data feeds for real-time performance adjustments. Key skills include deep expertise in AdTech, AI/ML integration, and cloud-native infrastructure, along with experience in managing large-scale budgets and complex technical SOWs with global vendors. The role requires a strong background in software engineering, specifically within MarTech or AdTech, and the ability to collaborate effectively across functions to align engineering roadmaps with business objectives.

Skills

AWS GCP Azure CI/CD Python SQL Kubernetes Docker PostgreSQL GraphQL API Management Data Privacy Compliance (GDPR, CCPA) AI Integration Predictive Modeling Multi-Touch Attribution Messaging Queues Scalable Campaign Management Systems Identity Resolution

What you'll do

Design and oversee the integration of complex MarTech stacks including DSPs, SSPs, CDPs, and internal decision engines.
Establish engineering standards for continuous marketing systems to move away from episodic campaigns toward data-driven execution engines.
Lead technical due diligence for third-party MarTech software to ensure seamless interoperability with internal APIs and data structures.
Define and enforce technical standards for integrating AI models into the marketing workflow to automate content generation and audience segmentation.
Develop frameworks to optimize campaign relevance on AI platforms by enhancing data feeds and model-friendly content structures.
Enhance internal advertisement decision engines to support multi-touch attribution and real-time performance adjustments.

What we're looking for

7+ years of software engineering experience, including at least 5 years in senior leadership within MarTech or AdTech.
Deep expertise in programmatic advertising, RTB protocols, and advertisement decision engines.
Proven ability to integrate AI models into production environments for personalization and optimization.
Strong knowledge of data-to-decision pipelines, identity resolution, and cloud-native infrastructure (AWS/GCP/Azure).
Experience leading cross-functional teams and collaborating with executive leadership on technical roadmaps.
Ability to manage large-scale budgets and complex technical SOWs with global vendors.
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.