This role pays more than
77%
of similar roles. Most pay
$174,950–$222,100
— the shaded band above.
At the midpoint, this role pays about
$225k
versus about
$199k
for comparable roles.
Based on 240 similar postings.
Employer
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
134 open roles
on FindRole.
Listed pay typically runs
$137,000–$250,000
across 55 roles with salary data.
VP - Technical Program Manager - Autonomous Alpha Generation Platform serves as a strategic leader for the central platform team, driving the execution of an ecosystem where quantitative research, artificial intelligence, and automated trading systems converge. The role involves managing cross-functional delivery across engineering, research, and data teams to build modular infrastructure, including SDKs, APIs, and plugin standards that integrate into specific trading desk workflows. Key responsibilities include defining human-in-the-loop control points, designing intuitive user interfaces for portfolio managers, and overseeing MLOps infrastructure such as feature stores and model registries. The candidate will manage complex projects involving time-series data, high-frequency tick data, and autonomous agent design patterns. Required skills include proficiency in Python, C++, Ray, Kubernetes, and experience with distributed compute orchestration to solve challenges in automated strategy exploration and signal space discovery.
Drive end-to-end program execution and delivery milestones for the central autonomous trading platform.
Integrate core infrastructure into specific trading desk applications and strategy frameworks.
Develop modular architecture including SDKs, APIs, and plugin standards for internal developers.
Define requirements for human-in-the-loop control mechanisms and automated workflow approval gates.
Partner with engineering teams to deliver intuitive dashboards and monitoring tools for portfolio managers.
Direct the development of scalable data infrastructure ensuring point-in-time integrity and lineage tracking.
Establish unified metadata catalogs and discovery interfaces for both human researchers and AI agents.
Ensure all platform workflows comply with internal risk management and regulatory standards.
What we're looking for
At least 7 years of experience in technical program management, platform engineering management, or enterprise software delivery within fintech or investment banking.
Proven success leading complex, multi-team infrastructure projects and managing technical roadmaps with clear delivery milestones.
Experience defining requirements for modular architectures, including open plugin frameworks, APIs, and SDKs for internal developer ecosystems.
Hands-on experience designing human-in-the-loop control points and user-facing monitoring interfaces for autonomous software systems.
Demonstrated expertise in MLOps architecture, feature stores, model registries, and automated lineage tracking.
Experience managing time-series data infrastructure, including high-frequency tick data and point-in-time compliance.
Familiarity with autonomous agent design patterns such as tool usage, planning loops, and intervention thresholds.
Knowledge of quantitative trading concepts, financial markets, or systematic research workflows.
AI
LLM
ASIC
RTL Design
Simulation
Formal Verification
System Architecture
Scalable Infrastructure
Data Pipelines
Software Engineering
Program Management
Pre-silicon Workflows
Generative AI
Agentic Systems
AI PDLC
GitHub Copilot
Claude Code
GitHub
Model Context Protocol (MCP)
Value Stream Mapping
Observability
Data Versioning
Cybersecurity
Risk Management