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Embed with business teams to map and re-engineer processes, translate workflows into engineering-ready artifacts, and partner with architects and developers to deliver AI-first solutions. Lead POCs, prioritize roadmap decisions, drive Agile delivery, mentor juniors, and achieve measurable cost savings, productivity gains, and risk reduction across domains.

The Client Success Manager serves as a strategic partner for clients, ensuring they achieve desired outcomes by effectively utilizing Arcesium's solutions while building strong relationships and providing insights.

Lead product features from concept to production for core accounting platform: define roadmap and specs, gather requirements, work with engineers on design and testing, build Python/AI prototypes, monitor progress, mitigate risks, and perform competitor analysis.

Serve as primary client contact for Arcesium's platform, resolving front-to-back investment operations issues (OMS, IBOR, trade capture, compliance), delivering client training, tracking inquiry trends, and collaborating with product and technical teams to onboard clients and escalate complex issues per SLAs.

Lead client-facing solution architecture for Arcesium's data platform: conduct discovery, design scalable solutions and PoCs, run implementations, train client teams, manage stakeholders, and support sales through demos and proposals.

The Pre-Sales Consultant collaborates with the Sales team to deliver technical product presentations, support clients, and create proposals while managing expectations and enhancing the sales process.

The Product Manager will oversee the integration of the Order & Portfolio Management System, managing features through the trade lifecycle, collaborating across teams, and conducting competitor analysis.

Arcesium seeks a Manager for their Middle Office Forward Deployed Data Strategy team. Responsibilities include managing data-driven strategies and collaborating with teams to drive initiatives.

The Lead Infrastructure Engineer will manage Linux compute platforms using Kubernetes and AWS, develop tools with Python and Terraform, and troubleshoot complex systems.

Lead and build the Linux/Kubernetes compute platform on AWS; develop and maintain Python and Terraform automation; write and review infrastructure code; troubleshoot complex systems; and own critical infrastructure services while collaborating with developers and stakeholders to deliver reliable, risk-managed solutions.