Top Tech Jobs & Startup Jobs in Portland, OR

Designs, standardizes, and maintains SAP ECC, S/4HANA, and Ariba integration templates for scalable customer implementations. Partners with Engineering, Product, Design, and account teams to architect solutions, support pre-sales, analyze customer data mappings, and convert bespoke integrations into reusable assets. Defines technical consulting best practices, troubleshoots APIs and integration errors, documents requirements, and expands expertise across ERP ecosystems while supporting implementation excellence.

Lead the architecture and development of a multi-RAT Open RAN digital twin supporting LTE and 5G NR simulation. Integrate production MAC and scheduler software with PHY, channel, UE, traffic, mobility, interference, and network models. Build fidelity tiers, AI/ML evaluation pipelines, reproducible experiments, calibration and validation practices, automated testing, and CI/CD workflows. Improve simulation scalability and reliability while collaborating across wireless, PHY, AI/ML, software, and lab-validation teams.

Analyze insurance product and portfolio performance, build dashboards and reporting tools, validate data, and translate complex insurance questions into actionable recommendations. The role supports rate revisions, state expansion, product development, and profitable growth while partnering with Product, Engineering, Data, Underwriting, Compliance, and other teams. It also uses SQL, business intelligence platforms, and AI tools such as Claude to improve workflows and decision-making.

Support accounts payable, state sales tax filings and registrations, broader tax compliance, and monthly close activities. Responsibilities include invoice review, payment processing, reconciliations, accruals, amortization, and coordinating with external tax advisors. The role also identifies opportunities to improve accounting processes, controls, and workflows in a fast-growing, remote technology company.

Manage a portfolio of enterprise customers, lead technical onboarding and integrations, drive product adoption and expansion, surface customer feedback to Product/Engineering, create technical documentation, and run cross-functional initiatives to scale success.

Manage Salesforce opportunity intake, qualification, classification, and routing across internal departments. Review RFPs, technical specifications, and installation scopes to identify requirements, deadlines, responsibilities, and project fit. Use approved AI tools to analyze documents and support data-driven triage. Collaborate with sales and operations, maintain accurate pipeline data, and apply knowledge of networking, physical security, audiovisual, and electrical systems while meeting quality and deadline expectations.

Supports sales teams by designing technical solutions, delivering complex product demonstrations, preparing proposals, and addressing customer requirements. Serves as a subject matter expert across networking, security, Microsoft, voice, cloud, UCaaS, and CCaaS technologies. Partners with Product, Engineering, and Sales teams, provides technical training, manages multiple enterprise opportunities, documents sales activity, and represents the company at sales events.

Lead assessment, redesign, and hands-on implementation of data pipelines, ML workflows, and platform infrastructure. Produce prioritized system designs, harden production pipelines, improve observability, reliability, and data quality, and mentor the data team.

Develop predictive machine learning models and generative AI applications using Azure, Python, pandas, and scikit-learn. Build and deploy production GenAI solutions, including RAG, hybrid search, evaluations, multi-agent systems, and user interfaces. Collaborate on dataset design, statistical modeling, process-control integration, and full-stack application development. Present findings to nontechnical audiences while addressing business problems across research, finance, manufacturing, legal, and environmental safety functions.

Designs the technical foundation for Dave’s AI Agent Factory, including agent architecture, MCP servers, governed data access, semantic-layer integrations, evaluation frameworks, deployment standards, observability, authentication, authorization, auditability, and PII protection. The role establishes scalable AI engineering standards and reusable infrastructure while partnering with Data, Engineering, Security, and Product teams to enable safe, reliable company-wide AI adoption.