The Goldman Sachs Group, Inc

VP - Technical Program Manager - Autonomous Alpha Generation Platform

The Goldman Sachs Group, Inc • $150K — $300K *
New York, NY 10025In-Person
Finance & Insurance
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 7+ years in technical program management or enterprise software delivery within fintech or quantitative hedge funds.
  • Proven track record in leading complex, multi-team infrastructure projects and integration.
  • Experience defining platform architecture and modular frameworks for internal ecosystems.
  • Hands-on defining workflow controls and user interfaces for automated systems.
  • Background in enterprise MLOps, including feature stores and automated lineage tracking.
  • Familiarity with quantitative trading concepts and financial market operations.

Responsibilities

  • Drive end-to-end project management for the central platform, setting clear milestones and schedules.
  • Lead integration initiatives for merging central platform infrastructure with desk-specific systems.
  • Define and measure platform adoption and system reliability across internal client groups.
  • Coordinate alignment across various teams like Quantitative Research and Core Technology.
  • Establish open platform architecture with SDKs and APIs for internal customization.
  • Maintain standardized validation and cross-asset evaluation across integrated plugins.
  • Define requirements for Human-in-the-Loop control mechanisms and UI/UX challenges.

Benefits

  • Comprehensive health and wellness benefits.
  • Diverse employee resource groups and community engagement opportunities.
  • Flexible work arrangements and paid time off policies.
  • Access to employee training programs and professional development resources.
Full Job Description
Job Description

Position Overview

We are seeking a Vice President - Technical Program Manager (TPM) to drive the vision, program execution, and cross-functional delivery of our central Autonomous Alpha Generation Platform. Positioned at the convergence of quantitative research, artificial intelligence, automated trading systems and scalable platform engineering, this ecosystem enables autonomous AI/ML agents and quaVntitative researchers to explore signal spaces, engineer features, evaluate statistical models, and run high-fidelity simulations.

In this role, the TPM serves as a key strategic facilitator, program leader, and platform enabler. The primary focus is defining, building, and deploying a modular, extensible central infrastructure that seamlessly integrates into the existing workflows, software architectures, and specialized strategies of individual trading desks.

The ideal candidate combines strong technical platform leadership with experience in machine learning and automated trading systems with structured project and program management discipline. You will lead cross-functional delivery across engineering, research, and business teams, architecting pluggable framework interfaces that allow internal teams to customize capabilities while embedding human control points and intuitive user interfaces into agentic workflows.

Key Responsibilities

1. Platform Leadership & Program Management
  • Drive end-to-end project management and program execution for the central platform, establishing clear delivery milestones, release schedules, and cross-functional dependencies across multi-team engineering sprints.
  • Lead integration initiatives to tie central platform infrastructure into the desk-specific applications, execution systems, and strategy frameworks of individual trading teams.
  • Define and measure platform adoption, developer experience (DX), throughput velocity, and system reliability metrics across internal client groups.
  • Coordinate cross-functional alignment across Quantitative Research, Core Technology, Data Engineering, Infrastructure, and Risk Governance teams.

2. Extensible Frameworks & Modular Integration
  • Drive an open, highly flexible platform architecture, establishing SDKs, APIs, and plugin standards that enable internal clients and trading desks to easily plug in their own proprietary capabilities, custom analytical modules and execution simulators.
  • Abstract core platform mechanisms so desk quants retain full flexibility over their proprietary trading logic while benefiting from centralized compute, data storage, and automated strategy exploration infrastructure.
  • Maintain standardized validation contracts, parameter sweep frameworks, and cross-asset evaluation hooks across all integrated plugins.

3. Human Control Points & User Interface Design
  • Define requirements for Human-in-the-Loop (HITL) control mechanisms, establishing structured approval gates, confidence thresholds, and real-time intervention capabilities within autonomous agent workflows.
  • Address user interface (UI/UX) challenges by partnering with front-end engineering teams to deliver intuitive dashboards and control centers that provide quants and portfolio managers with real-time visibility, inspection tools, audit trails, and manual override controls over agent decisions.
  • Ensure all workflow checkpoints comply with internal Model Risk Management (MRM) and regulatory oversight standards.

4. Core Data & MLOps Infrastructure
  • Direct requirements for scalable, central data and feature infrastructure, ensuring strict point-in-time integrity and dataset lineage tracking across raw, synthetic, and model-derived data assets.
  • Establish unified cataloging, metadata searchability, and data discovery interfaces to support seamless asset exploration by both human researchers and automated agents.


Required Qualifications & Experience
  • Experience: 7+ years of experience in technical program management, platform engineering management, or enterprise software delivery within financial technology, investment banking, quantitative hedge funds, or enterprise SaaS.
  • Program & Project Management: Demonstrated success leading complex, multi-team infrastructure projects, managing technical roadmaps, tracking dependencies, and successfully integrating central platform capabilities into client-facing or desk-specific environments.
  • Platform Architecture & Extensibility: Proven ability to define platform requirements for modular architectures, open plugin frameworks, APIs, and SDKs designed for internal developer ecosystems.
  • Human-in-the-Loop & UI/UX Design: Hands-on experience defining workflow control points, governance checkpoints, and user-facing monitoring/dashboard interfaces for automated or semi-autonomous software systems.
  • Machine Learning & MLOps Infrastructure:
  • Demonstrated experience with enterprise MLOps architecture, feature stores, data cataloging, model registries, and automated lineage tracking.
  • Experience managing time-series data infrastructure, including high-frequency tick data storage, time-series transformations, and point-in-time compliance.
  • Familiarity with autonomous agent design patterns (e.g., tool usage, planning loops, intervention thresholds, dynamic execution).
  • Domain Awareness: Familiarity with quantitative trading concepts, financial markets, or systematic research workflows.


Desirable Technical Capabilities
  • Programming & Frameworks: Proficiency with Python (e.g., Pandas, PyTorch, Ray, Celery) and C++ integration patterns for high-performance enterprise platforms.
  • Front-End & UI Tooling: Familiarity with modern user interface frameworks, operational monitoring tools, and workflow visualization applications.
  • Compute & Data Infrastructure: Understanding of modern distributed compute orchestration (e.g., Ray, Kubernetes), time-series databases, and cloud data lake architectures (e.g., Apache Parquet, Iceberg).


Salary Range
The expected base salary for this New York, New York, United States-based position is $150,000-$300,000. In addition, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year-end.

Benefits
Goldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings, as it is a core part of providing a strong overall employee experience. A summary of these offerings, which are generally available to active, non-temporary, full-time and part-time US employees who work at least 20 hours per week, can be found here.

About The Goldman Sachs Group, Inc

The Goldman Sachs Group, Inc. provides investment banking, securities, and investment management services, as well as financial services to corporations, financial institutions, governments, and high-net-worth individuals worldwide. Its Investment Banking segment offers financial advisory services, including advisory assignments concerning mergers and acquisitions, divestitures, corporate defense, risk management, and restructurings and spin-offs; and underwriting services comprising public offerings and private placements of a range of securities, loans, and other financial instruments, and derivative transactions. The company’s Institutional Client Services segment provides client execution services, such as fixed income, currency, and commodities client execution related to making markets in interest rate products, credit products, mortgages, currencies, and commodities; and equities related to making markets in equity products, as well as executes and clears institutional client transactions on stock, options, and futures exchanges. This segment also engages in the securities services business providing financing, securities lending, and other brokerage services to institutional clients, including hedge funds, mutual funds, pension funds, and foundations. Its Investing and Lending segment originates longer-term loans; and invests in debt securities, loans, public and private equity securities, real estate, consolidated investment entities, distressed assets, currencies, commodities, and power generation facilities. The company’s investment management segment provides investment products and services, as well as offers wealth advisory services, including portfolio management and financial counseling, and brokerage and other transaction services.

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Learn more about The Goldman Sachs Group, Inc
Size
45,100 employees
Market Cap
$115.8 billion
Industry
Finance & Insurance
Net Income
$9.4 billion
Founded
1869
5 Year Trend
+11.3%
Revenue
$53.4 billion
NASDAQ
GS
* Ladders Estimates

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