Jobs at IFS

Administers the full lifecycle of customer, partner, and supplier contracts for SaaS, licensing, cloud, and professional services. Prepares agreements and amendments, maintains contract records and version control, tracks milestones and obligations, supports bids and onboarding, and coordinates with legal, sales, finance, and delivery teams. Conducts commercial and regulatory research, supports audits and due diligence, maintains legal templates and playbooks, and ensures compliance with governance, privacy, and risk-management standards in the US and Canada.

Owns the end-to-end sales process for strategic existing customer accounts, including pipeline generation, account and territory planning, qualification, RFI/RFP management, business-case development, negotiation, and closing. The role requires meeting sales quotas, maintaining four-times pipeline coverage, collaborating with partners and internal teams, managing CRM data hygiene, and delivering accurate forecasts across assigned industries and geographies.

Own and improve a live GCP platform supporting enterprise logistics customers. Responsibilities include observability, GitLab CI/CD and Argo CD delivery controls, Terraform and Kubernetes infrastructure, cloud cost management, data-pipeline reliability, incident response, and on-call practices. The role partners with application and data engineers to improve deployment safety, monitoring, recovery, infrastructure reproducibility, and operational visibility across multiple environments and repositories.

Owns the end-to-end enterprise software sales cycle across strategic existing accounts in Sweden. Responsibilities include territory and account planning, pipeline generation, consultative selling, RFI/RFP management, business-case development, partner collaboration, forecasting, CRM hygiene, and achieving annual revenue targets. The role requires enterprise software sales expertise, strong quota performance, resilience, entrepreneurial thinking, and fluency in English and Swedish.

Own group-wide budgeting, forecasting, target-setting, recurring revenue planning, and revenue hedge models. Develop and improve complex financial models, analyze business and financial drivers, review submissions, investigate variances, coordinate cross-functional inputs, and support finance transformation through automation, AI, and analytical tools. Partner with FP&A leadership and finance stakeholders to deliver accurate, consistent, and strategically aligned planning outputs.

Build and operate Java-based warehouse management and supply chain applications using AI coding agents. Develop end-to-end features across backend, frontend, and databases; create agent skills and MCP tooling; maintain automated CI/CD, testing, security validation, observability, and delivery pipelines. Modernize mature systems, improve quality and velocity metrics, collaborate with product and customers, and help establish AI-first engineering practices.

Designs and delivers production AI systems using LLMs, RAG, agentic workflows, and cloud-native services. Leads architecture, prototyping, evaluation, monitoring, security, and scalable deployment while integrating enterprise data and workflows. The role influences AI strategy, mentors engineers, drives technical standards, collaborates with customers and domain experts, and develops reusable AI platforms and frameworks.

Design and deliver production-grade AI systems using LLMs, retrieval-augmented generation, agentic workflows, and cloud-native services. Lead architecture, prototyping, evaluation, deployment, monitoring, security, and continuous improvement. Mentor engineers, establish reusable AI frameworks, collaborate with customers and product teams, and influence enterprise AI strategy through hands-on delivery and technical leadership.

Owns relationships and commercial performance for OEM and ISV partners across recruitment, onboarding, enablement, co-selling, licensing, and revenue growth. Supports sales opportunities, partner operations, strategic commercial models, product integrations, market research, process improvement, training content, and performance reporting. Partners with Product, Procurement, Finance, and global Sales teams to expand and optimize IFS’s partner ecosystem.

Build and operate logistics data pipelines and integrations for carrier, shipment, invoice, and ERP data. Develop ETL/ELT workflows, document extraction, validation, reconciliation, dimensional models, and data-quality checks. Maintain pipeline SLAs, troubleshoot failures, support observability and testing, and collaborate with data scientists and software engineers. The role also involves documenting systems, onboarding data sources, and gradually taking ownership of larger platform problems.

The AI Architect shapes AI and FTTV initiatives before implementation, assessing solution alignment, boundaries, dependencies, integrations, reuse, and architectural standards. The role defines reusable patterns, coordinates specialist reviews across security, privacy, data, infrastructure, and enterprise architecture, validates concepts through prototypes, and documents decisions and exceptions. It partners with AI Engineering and business stakeholders to maintain a coherent, scalable AI solution portfolio without owning squad management or routine engineering delivery.

Lead hands-on research and engineering initiatives that evaluate emerging technologies and transform prototypes into production-ready software and AI capabilities. Design enterprise-grade cloud, data, distributed, API-driven, and event-driven systems; conduct architectural investigations; apply AI-assisted and agentic engineering workflows; collaborate with product, engineering, sales, customers, and partners; create demonstrations; influence technology strategy; and mentor engineers.

Provide global Level 1 and Level 2 technical support across a 24x5 roster. Responsibilities include ticket triage and ownership, troubleshooting hardware, software, networking, cloud, Microsoft 365, identity, and access issues, administering Exchange, Teams, SharePoint, and Entra ID, documenting resolutions, maintaining knowledge articles, and escalating complex incidents to engineering teams or vendors.

Own end-to-end product design for AI-driven enterprise software used by maintenance engineers, field service technicians, and operations planners. Conduct independent user research, translate qualitative and quantitative insights into design direction, and collaborate with engineers and product managers. Design AI interactions with appropriate prompts, fallbacks, error states, and human oversight. Contribute reusable design-system patterns, apply accessibility standards, measure outcomes, and guide product decisions across complex operational workflows.

Executes treasury operations across liquidity management, cash positioning, forecasting, investments, FX transactions, risk monitoring, settlements, and compliance. The role manages Kyriba processes, banking relationships, cash reconciliations, audit responses, and treasury controls while supporting AI-led process improvements and collaboration with FP&A, accounting, finance leadership, and external stakeholders.

Build and deploy production AI applications for acquired companies within the M&A group. Responsibilities include discovering business use cases, prototyping, developing tested code, integrating AI platforms with enterprise systems, creating agentic workflows, managing cloud infrastructure and operations, monitoring production solutions, training users, measuring business impact, and communicating progress to stakeholders. The role also contributes to standards, process improvements, and guidance for junior colleagues.

Lead presales solution strategy for enterprise supply chain and field service clients. Translate business challenges into tailored IFS Cloud solutions, conduct discovery workshops, deliver proof-of-value demonstrations, respond to RFPs and RFIs, and create industry-specific demos and toolkits. The role engages C-level stakeholders, collaborates with sales, product, and consulting teams, mentors junior consultants, contributes to product feedback, and represents the company at industry events.

Own the roadmap, backlog, discovery, requirements, prioritization, metrics, and releases for Softeon’s warehouse management system. Partner with engineering, marketing, presales, implementation, support, and IFS product teams to translate warehouse and market needs into product capabilities. Guide integrations, automation and AI opportunities, support strategic deals, improve product operating processes, and mentor future product managers.

Connect carriers and providers through APIs and file feeds, map and validate customer ERP and logistics data, diagnose integration failures, and support customer go-live. Automate recurring onboarding work through reusable templates, configuration, and self-service tooling. Document integrations and failure modes, manage delivery timelines for named customers, and hand over completed work to permanent engineering squads.

Build and operate production AI applications for acquired companies, from discovery and rapid prototyping through deployment, monitoring, support, and user training. Integrate AI platforms with enterprise systems and data sources, develop agentic workflows within security and governance guardrails, measure business impact, recommend models and architectures, and communicate progress and trade-offs to technical and business stakeholders.