Fenergo

HQ
Dublin
823 Total Employees

Jobs at Fenergo

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Recently posted jobs

3 Days AgoSaved
In-Office
Dublin, IRL
Fintech • Financial Services
Provides senior-level Corporate IT support across Microsoft 365, identity services, endpoints, SaaS platforms, office technology, and security operations. Owns complex incidents, major incident response, endpoint and access administration, service monitoring, technology deployments, documentation, automation, vendor coordination, and operational improvements. The role also supports executives, meeting rooms, audits, business continuity, and global technology services, with participation in an out-of-hours escalation rota.
4 Days AgoSaved
In-Office
Dublin, IRL
Fintech • Financial Services
Supports deal desk operations by coordinating commercial and contractual processes for sales, upsells, renewals, and amendments. Reviews pricing, contract terms, and policy compliance; prepares customer documentation; coordinates with sales, legal, technical teams, and subject matter experts; responds to customer queries; maintains commercial data; produces management reports; and improves sales workflows and processes.
11 Days AgoSaved
In-Office
Dublin, IRL
Fintech • Financial Services
Leads and mentors a software engineering team building secure, scalable, multi-tenant SaaS products on AWS. Responsibilities include architecture, technical roadmaps, delivery management, people leadership, production reliability, security and compliance, CI/CD, testing, and AI-assisted development. The role partners closely with Product and remains hands-on with Python development while driving engineering excellence and operational improvements.
18 Days AgoSaved
In-Office
Dublin, IRL
Fintech • Financial Services
Supports Revenue Operations across bid management, deal desk, RFX processes, proposals, pricing, contracting, customer requirements, reporting, and forecasting. Coordinates stakeholders, approvals, actions, dependencies, and customer commitments throughout the commercial lifecycle. Uses AI, automation, and process improvement to enhance efficiency and quality. The role requires strong organization, communication, analytical ability, attention to detail, technology literacy, and a willingness to learn.
24 Days AgoSaved
In-Office
Dublin, IRL
Fintech • Financial Services
Own product marketing for assigned solutions in a B2B enterprise software environment. Develop positioning, messaging, value propositions, market insights, GTM plans, launch programs, sales collateral, competitive materials, and customer proof points. Partner cross-functionally with Product Management, Sales, Enablement, and Marketing to improve sales readiness and commercial execution. Monitor marketing-influenced pipeline, launch effectiveness, and other KPIs, using data and AI-powered tools to optimize performance.
One Month AgoSaved
In-Office
Dublin, IRL
Fintech • Financial Services
Build and deliver full-stack, cloud-based software and AI-powered products using serverless architectures, AWS or Azure, C# .NET or Java, and React. Develop multi-layer systems, contribute to CI/CD and Agile delivery, solve complex business problems, ensure high-quality production releases, and mentor junior and mid-level engineers. Collaborate with engineering, product, sales, and leadership teams while leveraging generative AI tools and platforms.
One Month AgoSaved
In-Office
Dublin, IRL
Fintech • Financial Services
Business Analyst responsible for improving Sales and Marketing operations through process analysis, future-state design, system configuration, automation, and tool rationalization. The role gathers requirements, translates them into technical specifications, leads cross-functional workshops, supports Salesforce, Marketo, Gong, and related systems, develops documentation, trains users, manages change, and monitors system performance and adoption.
2 Months AgoSaved
In-Office
2 Locations
Fintech • Financial Services
Own tactical execution of Transaction Monitoring features in an enterprise AML/CLM platform. Translate regulatory typologies and client needs into backlog items, collaborate with engineering and data science to deliver detection engines, AI models, alert/case management, tuning and calibration, testing and UAT, and monitoring metrics to optimize detection performance and auditability.