Jobs at IFS

Supports regional sales operations through CRM data management, forecasting, pipeline analysis, sales process compliance, reporting, deal follow-up, contract and order coordination, and process improvement. Provides system, reporting, pricing, and contract guidance to sales representatives, coordinates with internal teams, and helps implement global sales tools and processes across the European region.

Own net-new enterprise customer acquisition for Ultimo’s EAM SaaS platform across the UK. Responsibilities include territory planning, outbound prospecting, pipeline creation, opportunity qualification, consultative discovery, value-based selling, stakeholder engagement, full-cycle enterprise deal management, forecasting, and closing. The role collaborates with BDRs, pre-sales, customer teams, and leadership while maintaining CRM accuracy and consistently meeting or exceeding quota.

Build and maintain product-level P&Ls, financial models, business cases, forecasts, and portfolio investment analyses. Partner with Product, Pricing, Sales, Customer Success, and Finance leaders on product strategy, pricing, monetization, AI economics, cost-to-serve, and capital allocation. Translate incomplete product and commercial data into clear recommendations for senior stakeholders while helping establish a new Product Finance capability.

Leads the global engineering and reliability organization responsible for CI/CD, infrastructure provisioning, Oracle database engineering, observability, security, performance, and cost. Owns technical strategy, platform modernization, SRE practices, cloud transformation, governance, vendor relationships, budgets, and regulatory compliance. Builds and develops a distributed leadership team of 40+ engineers while ensuring highly available, secure, and cost-effective platforms.

Build production AI platform capabilities that allow enterprise agents to safely operate within IFS software. Responsibilities include developing MCP servers, semantic and skills layers, agent control planes, secure write paths, evaluation harnesses, and observability practices. The role also involves prototyping emerging technologies, integrating enterprise systems, reviewing designs, mentoring engineers, and representing the work with customers and partners. Candidates need strong backend software engineering experience plus expertise in distributed systems, cloud platforms, LLM applications, agentic workflows, evaluation, security, and enterprise integration.

Build production AI infrastructure for enterprise software, including MCP servers, knowledge graphs, ontologies, retrieval and grounding systems, agent skills, control planes, and evaluation harnesses. Design secure write paths, ensure data provenance and versioning, improve agent accuracy through measurement, and establish observability, testing, governance, and operational practices. Collaborate with domain experts, contribute to technical design, prototype emerging technologies, and represent the work with customers and partners.

Build and operate production AI-agent systems for enterprise customers, including session and memory models, retrieval and document intelligence, multi-step agent workflows, tool integrations, multimodal inputs, evaluation frameworks, scheduling interfaces, and security controls. The role requires production experience with Go or similar backend languages, multi-tenant SaaS, GenAI, RAG, agent orchestration, MCP, cloud-native infrastructure, API gateways, and latency and cost optimization.

Build and deploy AI-powered prototypes and production solutions using customer data. Lead technical discovery, architecture, implementation, evaluation, adoption, and handoff for strategic accounts. Develop LLM, RAG, and agentic applications, integrate enterprise systems, measure business value, and convert successful prototypes into reusable accelerators and product roadmap improvements. Collaborate across sales, product, R&D, and implementation teams while supporting customer-facing commercial engagements and travel of up to 50%.

Owns global go-to-market FP&A analysis, financial modeling, forecasting, budgeting, consolidation, variance analysis, and reporting across bookings, ARR, revenue, pipeline, and costs. The role investigates commercial performance drivers, works with large datasets from CRM and ERP systems, develops dashboards and data models, and applies AI and automation to improve finance processes. It partners with regional and corporate finance teams to translate complex analysis into actionable commercial insights.

Oversee global benefits governance, renewals, provider reviews, and regional coordination across IFS. Manage and guide the Benefits team, partner with HR, Finance, Legal, Procurement, brokers, and vendors, and ensure benefits align with global Total Reward frameworks. Analyze market data, costs, utilization, risks, and compliance to recommend improvements. Support benefits communications, employee self-service, implementations, vendor transitions, process improvements, and governance enhancements across multiple countries.

Supports the Europe West Managing Director and sales teams with sales materials, proposals, presentations, KPI tracking, market research, lead generation, customer and partner events, demand generation campaigns, and competitor analysis. The role coordinates cross-functional initiatives with sales, marketing, product, and business development teams while assisting with customer engagement and operational follow-up.

Develop DACH-region sales opportunities for Ultimo’s enterprise SaaS platform by researching target accounts, conducting personalized German- and English-language outreach, qualifying prospects, booking meetings, maintaining CRM records, and supporting pipeline reporting. The role includes structured coaching through the Ultimo Sales Academy, collaboration with Account Executives and Marketing, and progression toward a Junior Account Executive position.

Manage customer relationships across Europe West, helping enterprise customers achieve adoption, value realization, and satisfaction from IFS solutions. Build success plans, engage senior stakeholders, coordinate cross-functional IFS teams, manage risks and issues, lead business reviews, represent customer feedback, and identify opportunities for account growth. The role requires strong communication, commercial awareness, problem-solving, prioritization, and experience in customer success, account management, consulting, or similar customer-facing work.

Leads and develops a European net-new enterprise sales team focused on prospecting, complex solution selling, C-level engagement, pipeline generation, and closing large software and cloud subscription deals. Owns territory strategy, revenue targets, account planning, customer relationships, partner coordination, sales forecasting, and CRM accuracy. Recruits, coaches, and retains high-performing sales talent while positioning IFS solutions across core industries and managing lengthy transformation sales cycles.

Owns global software bookings, ACV, and ARR reporting, governance, analysis, and continuous improvement. The role ensures accurate executive and board reporting, defines commercial metric policies, investigates discrepancies, analyzes retention and recurring revenue drivers, strengthens data controls, and drives automation through Power BI and advanced analytics. It partners with Finance, Sales, Revenue Operations, Data & Analytics, and executive stakeholders to deliver actionable business insights.

Lead end-to-end EAM implementations, including requirements analysis, customer workshops, platform configuration, workflows, integrations, reporting, training, adoption support, and go-live delivery. Manage multiple projects while controlling scope, quality, and timelines, and collaborate with consulting, product, and support teams. The role requires strong knowledge of asset management, maintenance, and reliability processes, along with customer-facing consulting and technical configuration skills.

Leads organization-wide performance engineering strategy across frontend, APIs, backend systems, databases, infrastructure, cloud costs, observability, and agentic AI. Establishes performance standards, SLOs, measurement frameworks, and optimization roadmaps; drives scalability, latency, throughput, and cost improvements. Builds and manages a performance engineering team, embeds performance practices into architecture and product development, and communicates measurable results to executives.

Leads company-wide cloud infrastructure strategy, architecture, operations, reliability, security, observability, disaster recovery, and cost optimization. Drives Infrastructure-as-Code, cloud-native transformation, automation, self-service capabilities, and AI infrastructure strategy. Builds and manages an infrastructure team while partnering with engineering, security, product, and performance teams to improve deployment velocity, system reliability, compliance, and cloud efficiency.

Serve as a trusted presales advisor for IFS project-based solutions across the UK and Ireland. Responsibilities include designing enterprise solutions, delivering tailored software demonstrations and executive briefings, configuring demo environments, responding to RFXs, supporting proposals, and collaborating with sales teams to close deals. The role requires translating project delivery, resource management, and financial-control challenges into business value while engaging executives, technical leaders, customers, partners, and industry forums.

Owns global commercial success for IFS.ai Operational Intelligence, including revenue, pipeline, forecasting, sales plays, demand generation, and expansion motions. Partners with Product, Sales, Marketing, Presales, Customer Success, and partners to translate industrial AI capabilities into customer value and repeatable growth. Establishes qualification standards, pricing and ROI tools, messaging, account targeting, and field enablement while influencing product direction through market insight. Success is measured by revenue growth, pipeline coverage, adoption, win rates, deal velocity, and expansion performance.