Lead product ownership for Portal Modernization and EBill initiatives, translating business requirements into UI/UX and technical specifications, managing backlogs, and driving delivery across engineering teams.
Compensation
$115,000—$130,000 USD
Responsibilities
Own backlog and requirements for defined product area spanning multiple engineering teams
Translate business requirements into UI/UX requirements, screen flows, and detailed field-level specifications
Define interface specifications for front-end and back-end developers, including API endpoints and data contracts
Maintain data mappings and business rules for EDI transactions and payment processing
Support QA by clarifying expected behavior and reviewing test scenarios
The Strategy & Business Analytics Lead builds and runs the analytic tools leadership uses to manage the business. The role connects data from business development, programs, product, engineering, and finance into integrated dashboards and analyses.
Compensation
compensation for this position includes a target base salary of $130,000 - $165,000 annually
Responsibilities
Build and maintain dashboards, reports, and analytic tools using Power BI, CRM, customer data models, and financial forecasts
Connect data across CRM, contracts, finance, and program systems into consistent, reliable views to create a single source of truth
Automate recurring reporting and data workflows using low-code and AI-assisted tools
Maintain data quality and proper handling of sensitive and controlled information
Translate open-ended leadership questions into structured analyses and clear recommendations
Design and build features across CRM Self-service and customer service workflows, including case and work order management and guided agent experiences.
Responsibilities
Build high-quality, scalable, clean, and reusable applications and integration solutions using ServiceNow platform and related technologies.
Partner with the product owners to understand detailed requirements and own your code from design, implementation, test automation and delivery of high-quality products to our users.
Design and develop scalable, maintainable, and reusable software components with a strong emphasis on performance and reliability.
Own critical technical initiatives from planning to deployment, continuously refining and improving existing applications and services.
Explore the latest ServiceNow features and evaluate them for adoption.
Requirements
Bachelor's degree in CS, software engineering, or a related technical field, or equivalent practical experience.
Nice to have: AI Coding tools such as Claude or Codex
Engineers in Core AIown the horizontal runtime, intelligence, and improvement capabilities, including agent runtime, evaluation, and self-improving systems.
Compensation
competitive cash compensation and meaningful equity
Responsibilities
Develop the learning data plane around agents: structured trajectories, feedback and outcome signals, offline datasets, lineage, privacy controls, and reliable links between an agent version and its behavior.
Create evaluation systems for task completion, tool use, long-horizon behavior, safety, latency, and cost, and own the credibility of the numbers they produce.
Design experiment and versioning systems for comparing changes through replay, shadow traffic, canaries, or controlled rollouts, with clear promotion and rollback criteria.
Build durable orchestration for long-running tasks, checkpoints, approvals, handoffs, and human-in-the-loop interactions, with typed tool interfaces, protocol-based execution, and memory retrieval that enforces tenant, user, and project visibility boundaries.
Own the execution environments agents run in, including isolation, startup performance, resource limits, and cost, and the policy layer that gates self-modification so a proposed change is staged and tested rather than applied silently.
Data Engineering Intern joining the EMEA Commercial Operations environment to help make customer and operational data more reliable, accessible and well documented.
Compensation
Monthly allowance of €650
Responsibilities
Support data flows that bring information into reporting and business tools.
Check data for completeness and accuracy and investigate routine data-quality issues.
Use Python and SQL to investigate data issues and validate results.
Write and improve SQL transformations and data-quality checks.
Build small, approved improvements that prepare data for business use.
Requirements
Bachelor’s degree or Master’s degree in AI/Data Engineering, Computer Science, Analytics or a related field
The MS D365 Systems Analyst partners with business and technology teams across manufacturing and enterprise operations to translate business needs into scalable D365 capabilities and improve business processes.
Locations (3)
Eagan, Minnesota, United States
Warroad, Minnesota, United States
Fargo, North Dakota, United States
Compensation
$91,233 - 121,644 annually
Responsibilities
Partner with stakeholders to understand current processes, identify pain points, document requirements, and define measurable outcomes for D365 solutions.
Translate functional requirements into configurations, workflows, business rules, security roles, reports, integrations, and system enhancements.
Lead or support fit-gap analysis, solution design, configuration, testing, deployment, and post-production stabilization.
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