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.

This Technical Program Manager role coordinates the delivery lifecycle for engineering systems at a quantitative trading firm. It focuses on turning trading needs into executable plans, aligning engineering teams, and improving release predictability for performance-sensitive software.

Role at a glance

Skills mentioned

What you will likely work on

• Facilitate sprint planning, stand-ups, and retrospectives for engineering teams.
• Translate trading requirements into prioritized, actionable backlogs and delivery plans.
• Plan team capacity and track progress metrics to communicate delivery timelines.
• Coordinate dependencies across connectivity, core infrastructure, and simulation teams.
• Maintain Jira dashboards, automated roadmaps, and Confluence documentation.
• Surface technical debt, architecture blockers, and resource risks that could affect releases.
• Adapt Agile practices to performance-sensitive development and release cycles.

Good fit signals

• Has at least five years in technical program management, program management, or Scrum leadership within product engineering.
• Understands software delivery for high-performance systems, including build systems, CI/CD, and performance regressions.
• Can use Jira and Confluence proficiently, including JQL for reporting.
• Communicates technical constraints clearly to engineering leads and business partners.
• Trading, quantitative research, investment, capital-markets, networking, or infrastructure exposure can be helpful.