We are seeking a Sales System Information Specialist to provide domain leadership across Commercial Order Optimization (COO) and Equipment Processing Center (EPC). This role combines business and process knowledge, technology and architecture expertise, and business relationship management to connect business priorities with SAP, AWS and Salesforce delivery teams.
Compensation
Summary Pay Range: $128,470.00 - $208,770.00
Responsibilities
Translate strategy and priorities into domain requirements, process maps, specifications, user stories, acceptance criteria and non-functional needs
Apply order-to-invoice expertise to advise stakeholders and delivery teams on all aspects of the order lifecycle and align business rules and resolve cross-system domain exceptions
Apply Order management & Fulfillment center process knowledge to guide replenishment, factory sourcing, configuration and controlled order changes or cancellations
Engage SAP, AWS and Salesforce teams in design reviews and architectural trade-offs
Build and manage trusted relationships with business leaders, operational stakeholders and delivery partners
Lead AI transformation and implementation engagements for monday.com customers, designing and building tailored solutions using agents, vibe-coded applications, and other advanced capabilities of the monday AI work platform.
Compensation
Competitive salary, benefits, bonus potential, and equity eligibility for many roles
Responsibilities
Lead AI transformation and implementation engagements
Build strong relationships with client stakeholders
Consult on business process design
Design sophisticated workflows and relational data structures
Actively leverage monday AI and external Generative/Agentic AI tools
Lead end‑to‑end ERP selection and implementation program for a healthcare client in California, focusing on enterprise cloud ERP platforms, vendor selection, contract negotiations, and long‑term technology roadmap.
Compensation
$118/hr-$140/hr +
Responsibilities
Lead the end‑to‑end ERP replacement selection program, including planning, governance, stakeholder engagement, risk management, and executive reporting.
Lead Solution Architect – Strategic Customer Integration (Global AWS – Contract Logistics) owns end-to-end solution architecture for contract-logistics-related IT services and solutions supporting the global AWS account.
Responsibilities
Serve as the lead technical point of contact for AWS contract logistics topics
Lead solution design across warehouse management, automation, integration, infrastructure, data, security, and service management domains
Provide hands‑on functional and technical expertise for enterprise WMS applications
Understand existing WMS configuration and support configuration changes
Senior Openlink Endur Consultant responsible for designing, configuring, enhancing, supporting, and optimizing the Openlink Endur platform across front, middle, and back-office business processes.
Responsibilities
Analyze business requirements and translate them into Endur functional and technical solutions.
Configure and enhance Endur modules supporting trading, risk management, scheduling, settlements, accounting, and reporting.
Lead Endur enhancement projects, upgrades, and implementation activities.
Collaborate with development teams to design, test, and deploy customized solutions.
Prepare functional specifications, process flows, and technical documentation.
Support design, configuration, enhancement, and optimization of the RightAngle (ETRM) platform, serving as a key liaison between business stakeholders, traders, risk management teams, operations, and technology teams to ensure efficient delivery of RightAngle solutions across front, middle, and back-office processes.
Responsibilities
Analyze business requirements and translate them into RightAngle functional and technical solutions
Configure and enhance RightAngle modules to support trading, risk, scheduling, settlements, accounting, and reporting functions
Collaborate with developers to design, test, and deploy customized solutions
Develop functional specifications, process flows, and solution documentation
Partner with Trading, Risk, Operations, Finance, Compliance, and Scheduling teams to identify business needs
Requirements
Bachelor's degree in Computer Science, Information Systems, Engineering, Finance, Mathematics, or related field
Lead business development and client engagement for software engineering and integration services, driving new opportunities and managing high-value engagements.
Locations (6)
Chicago
Seattle, Washington, United States
Washington DC, District of Columbia, United States
Join a global engineering organization building AI-powered digital experiences used by millions of consumers worldwide. Rebuilding the real-time event and consumer backbone that every consumer-facing product at Electrolux depends on.
Responsibilities
Lead the design, build, and delivery of cloud-native applications and services across consumer engagement and digital experience platforms
Define technical approaches and architecture for new capabilities, ensuring solutions are scalable, secure, resilient, and operationally efficient
Design the consumer data foundations powering personalization, activation, experimentation, and AI, including event platforms, analytics datasets, customer intelligence models, and transformation pipelines (e.g., dbt, Databricks, BigQuery)
Work with consumer and behavioral data to enable segmentation, personalization, activation, and real-time consumer experiences while maintaining appropriate privacy, consent, security controls and regulatory requirements (GDPR, CCPA and similar frameworks)
Take systems from prototype to production: recommendation engines, predictive models and intelligent automation used by real consumers at scale
Build backend-heavy services and AI agents for a software product, owning one functional area end to end and possibly leading a small group of engineers.
Compensation
Base salary: USD 190,000 to 260,000 per year
Responsibilities
Own one functional area end to end, working with a small group of two to three engineers and possibly leading them.
Build and run AI agents across the model pipeline, infrastructure, backend and user interface.
Create verification, guardrails, monitoring and evaluation for non-deterministic AI systems so that users and reviewers can rely on them.
Design the data context agents work from, and ingest, normalize and reconcile data from many third-party business systems.
Build long-running, fault-tolerant workflows and idempotent, auditable writes to external systems of record.
Requirements
Bachelor's degree in computer science or a closely related engineering field
Employees in proximity of our Seattle, Washington DC, Los Angeles, New York, and San Francisco offices will have a geographic premium applied to this salary scale.
Responsibilities
Lead business development and client relationship management
Design and deliver bespoke digital products and modernization solutions
Develop proposals, pricing, and risk assessments
Collaborate with industry teams and partners
Lead engagement teams and ensure client satisfaction
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