Technical Project Manager (AI)

Location: London; hybrid working opportunities

Company

hirify.global is a quantitative trading firm developing electronic trading infrastructure, market-access capabilities, research systems, and business-support platforms.

What you will do

• Run software and infrastructure projects through the full lifecycle, including FPGA workstreams involving hardware, firmware, software, and trading stakeholders.
• Manage exchange and venue changes such as protocol and feed upgrades, matching-engine changes, market access, and regulatory deadlines.
• Coordinate global trading strategies across regions and time zones, aligning trading, development, risk, compliance, and operations.
• Plan data, connectivity, environments, tooling, data-centre, colocation, hardware, network, migration, and capacity-change work for new strategies and platforms.
• Run release governance through reviews, pre-deployment meetings, checklists, support coordination, escalation, and readiness tracking.
• Gather requirements, maintain Jira and Confluence plans and documentation, report risks and decisions, improve processes, and use AI tools to automate repeatable workflows while following AI guardrails.

Requirements

• 3–5 years of project management or delivery experience in trading, technology, or financial environments; high-frequency or low-latency experience is preferred.
• Experience delivering cross-team technical projects against firm deadlines and managing increasing scope.
• Working knowledge of infrastructure and networking, including servers, storage, Linux, colocation, data-centre concepts, and how trading systems reach the market.
• Familiarity with exchange connectivity, market data, and market access in equities, futures, FX, or crypto.
• Hands-on use of AI tools with examples of time saved, quality improved, or processes changed.
• Sound judgement, confidence to challenge and escalate delivery risks, strong written and verbal communication, attention to detail, and the ability to manage competing priorities.
• A bachelor’s degree in engineering or a related field; a master’s degree is preferred.

Nice to have

• Experience with FPGA, hardware-accelerated, or other latency-sensitive delivery.
• Understanding of how machine-learning models are built, deployed, and monitored.
• Project management certification such as PMP, PRINCE2, or Six Sigma Green Belt.
• Experience with Python or shell scripting, C++, Git, databases, Kibana, Elasticsearch, AWS, or Azure.

Culture & Benefits

• Hybrid working opportunities in a collaborative, welcoming, and low-hierarchy environment.
• Generous paid time off and regional savings plans and financial wellness tools.
• Free breakfast, lunch, and snacks daily.
• In-office wellness experiences, selected wellness-expense reimbursement, sports teams, and fitness events.
• Volunteer opportunities, charitable giving, social events, and continuous learning workshops.