VP - Technical Program Manager - Autonomous Alpha Generation Platform
- Compensation
- Not disclosed
- Location
- New York, NY, United States
- Work setup
- Not specified
- Seniority
- C level
- Employment
- Part time
- Experience
- 7+ years
- Category
- Project management
- Posted
Skills
Must have
- Experience: 7+ years of experience in technical program management, platform engineering management, or enterprise software delivery within financial technology, investment banking, quantitative hedge
- Program & Project Management: Demonstrated success leading complex, multi-team infrastructure projects, managing technical roadmaps, tracking dependencies, and successfully integrating central platfor
- 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 softwar
- 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.
Full 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 Responsibilities1. 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.