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High-signal, low-volume. If a role is here, it is real, funded, and being worked as a Project.
Operations leadership hire to take a competent first-line support team and make it excellent at a listed European exchange. You'll own release coordination, shift scheduling, incident management, and client relationships with tier-one banks, with genuine autonomy from day one. This is about shaping how the function runs, not inheriting a ticket queue.
Cloud and DevOps engineering for the infrastructure behind real-time, regulated trading platforms at an established venue. You'll build and automate multi-account cloud and on-prem environments with Terraform, Kubernetes, and Python, with real ownership over how things are built. This is about making systems that already work more resilient and scalable, not firefighting a backlog.
Multiple senior C++ hires on the core platform powering electronic equities markets across Europe. You'll build event-driven, real-time systems that stay reliable under heavy throughput and respond in microseconds, working in modern C++ on Linux. Genuine freedom to shape architecture and challenge ideas, not just implement tickets.
Linux infrastructure behind a modern electronic trading platform used by market operators across Europe. You'll run RHEL-based production systems built on automation and reproducibility, troubleshoot client environments, and build test systems that replicate live deployments. Hiring at both mid and senior level. This keeps markets running, not internal tools.
Full-cycle Account Executive for an AI content compliance company scaling in the US market. You'll own pipeline generation and complex B2B SaaS deals from prospecting to close, selling into legal, compliance and marketing teams across regulated industries. A genuine hunter-farmer seat owning a US territory with real headroom, $100k–$500k deal sizes against a $1.5M+ quota.
Foundational backend work at a venture-backed fintech SaaS in Manhattan. You'll build the calculation engine, workflow orchestration platform and financial models that every feature of the product sits on, working directly with the founders. Platform engineering rather than feature work, in an environment where correctness, auditability and clean abstractions are the whole job.
A forward deployed engineering role at a Series A AI fintech whose product is already live with financial services clients. You sit directly with hedge funds and investment managers, scope the problem on the ground, then build the agentic workflow yourself. Roughly 80% building, the rest managing demanding front-office stakeholders. Early enough that your work shapes how deployments are delivered and what good looks like for enterprise agentic AI in finance.