Technical Program Manager

Who we are

Graviton Research Capital is a privately funded quantitative trading firm. We trade across a multitude of asset classes and trading venues using a diverse range of concepts, from time series analysis and stochastic models to machine learning and statistical inference. We analyse terabytes of data to identify pricing anomalies and drive innovation in financial markets.

Role Overview

We are looking for a Program Manager who thrives at the intersection of rigorous engineering and predictable delivery. You will not just "manage tasks" — you will orchestrate the development lifecycle for mission-critical systems. Your goal is to ensure that our elite engineering teams can focus on high-performance code while you own the execution strategy, dependency mapping, and release discipline.

Key Responsibilities

• Lead Agile ceremonies (Sprint Planning, Stand-ups, Retrospectives) tailored for deep-tech engineering teams.

• Transform high-level trading requirements into granular, executable backlogs. Own capacity planning and burn-down metrics to provide high-visibility delivery timelines.

• Navigate the complex interplay between engineering teams (e.g., Connectivity, Core Infrastructure, Simulation) to prevent bottlenecks.

• Build and maintain advanced Jira dashboards, automated roadmaps, and Confluence documentation that serve as the "single source of truth" for stakeholders.

• Proactively identify technical debt, architectural blockers, or resource gaps that threaten release stability.

• Continuously refine Agile methodologies to suit low-latency, performance-sensitive development cycles (where "Definition of Done" includes rigorous performance benchmarking).

Eligibility & Required Skills

• 5+ years of experience as a TPM, Program Manager, or Scrum Lead in a product-engineering environment (HFT, FinTech, Networking, or Kernels/Systems).

• A strong grasp of the software development lifecycle for high-performance systems. While you won't write code, you must understand concepts like build systems, CI/CD, and performance regressions.

• Familiarity with capital markets and trading concepts; prior exposure to a trading, quant research, or investment environment is a plus

• Expert-level proficiency in Jira Service Management/Software and Confluence. Ability to use JQL for advanced reporting.

• Exposure to low-latency, trading systems, capital markets, networking, or infra software preferred.

• Exceptional ability to translate complex technical constraints into clear business updates for Engineering Leads and Partners.