VP, Tech Program Manager — Autonomous Platform

SRI Conference

New York (NY)

On-site

USD 150,000 - 300,000

Full time

7 days ago
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Job summary

Goldman Sachs seeks a Vice President - Technical Program Manager to drive platform vision, program execution, and cross-functional delivery across trading desks and research teams. You will define modular, extensible infrastructure with SDKs, APIs, and plugins, while embedding HITL controls and intuitive dashboards for real-time visibility and governance.

The role emphasizes Tensor-based ML/analytics, time-series data handling, and secure, scalable data pipelines within a risk-aware enterprise

Qualifications

  • 7+ years of experience in technical program management or platform engineering within finance/fintech.
  • Experience defining modular platform architectures, open plugin frameworks, APIs, and SDKs.
  • Hands-on experience with HITL governance, UI/UX for dashboards, and risk/compliance considerations.
  • Experience with enterprise MLOps including feature stores, data cataloging, model registries, and lineage.
  • Familiarity with time-series data infrastructure and high-frequency data handling.
  • Knowledge of quantitative trading concepts and research workflows.

Responsibilities

  • Lead end-to-end platform program management with multi-team coordination.
  • Define modular architecture, SDKs, APIs, and plugin standards for internal clients.
  • Design HITL workflows and intuitive dashboards with real-time visibility and audit trails.
  • Oversee scalable data and MLOps infrastructure with lineage tracking and metadata catalogs.

Skills

Platform leadership
MLOps
UI/UX design
Time-series data
Autonomous agents

Tools

Python
C++ integration
PyTorch
Ray
Celery
Kubernetes

Job description

Goldman Sachs seeks a Vice President - Technical Program Manager to drive platform vision, program execution, and cross-functional delivery across trading desks and research teams. You will define modular, extensible infrastructure with SDKs, APIs, and plugins, while embedding HITL controls and intuitive dashboards for real-time visibility and governance.

The role emphasizes Tensor-based ML/analytics, time-series data handling, and secure, scalable data pipelines within a risk-aware enterprise

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