Top Tech Jobs & Startup Jobs in Portland, OR

Design, build, test, and deploy scalable backend services using .NET Core. Optimize PostgreSQL, MongoDB, and DynamoDB performance; develop RESTful and gRPC services; troubleshoot production issues; conduct code reviews; refactor code; document technical decisions; and contribute to system architecture. The role also involves distributed systems, asynchronous messaging, performance tuning, mentoring, and leading large-scale technical projects.

Owns ServiceNow Automated Test Framework coverage for releases, upgrades, features, and configuration changes. Designs, maintains, and executes automated regression suites; integrates testing with CI/CD and DevOps workflows; troubleshoots failures; manages test data and environments; translates requirements into test scenarios; reports coverage and release-readiness metrics; and performs manual testing when automation is unsuitable. Collaborates with developers, business analysts, and release managers in Agile environments.

Design and execute AI security evaluations focused on ethical jailbreaks, LLM red teaming, prompt injection, and tool-use abuse. Develop adversarial elicitation strategies, regression test suites, and evaluation frameworks to identify vulnerabilities in AI models. Collaborate with technical stakeholders to translate findings into safety improvements, and document methodologies and results for technical and non-technical audiences.

Participate in a 60-minute remote, recorded interview about user research workflows, tooling, participant management, data handling, synthesis, and process bottlenecks. Discuss a recent research project, current tools, workflow challenges, and ideal features for future research platforms. Applicants should be practicing user, UX, or design researchers, or product professionals who regularly conduct user research.

Supports the design, testing, launch, and scaling of marketplace programs. Builds tools and frameworks, develops analytical insights, and collaborates with product, marketing, data science, finance, and operations teams to remove obstacles and improve program outcomes. The role requires operational rigor, marketplace knowledge, strong analytics, cross-functional execution, organization, and comfort working in ambiguous early-stage environments.

Leads the architecture and development of Java-based enterprise applications, microservices, REST APIs, and cloud solutions on AWS. Develops applied generative AI solutions using LLMs, RAG, fine-tuning, prompt engineering, and managed platforms such as AWS Bedrock. Guides application design, deployment, security, monitoring, performance, and technical implementation while collaborating with project teams. The role is fully onsite in McLean, Virginia and requires extensive experience with modern Java, cloud-native technologies, containers, UI frameworks, and AI development.

Design developer tools for testing, evaluating, debugging, and observing AI voice agents. Translate dense real-time data into clear interfaces, create AI-native interaction patterns, prototype in code, collaborate with engineers, and contribute to design systems for technical debugging workflows.

Design developer tools for testing, evaluating, debugging, and observing AI voice agents. Translate dense real-time data into clear interfaces, create AI-native workflows, prototype in code, collaborate closely with engineers, and contribute polished patterns to a design system for technical users.

Manages GEICO agency relationships across Iowa to drive sales growth, profitability, and product adoption. Responsibilities include recruiting and approving agents, training agency staff, monitoring performance, enforcing policies, developing local growth plans, analyzing data, managing accountability, and preparing business plans, staffing projections, and budgets. The role requires statewide travel, relationship management, conflict resolution, strong organization, and familiarity with insurance products and sales performance.

Own the commercial performance, strategy, pricing, roadmap, and go-to-market execution for Pearson’s Knowledge Suite and Pearson Live Training offerings. The role connects enterprise learning market insight, customer discovery, financial outcomes, learning quality, and AI-enabled transformation. Responsibilities include managing P&L, developing portfolio priorities, coordinating cross-functional teams, supporting sales and marketing, defining success metrics, and using learner and customer data to guide investment decisions.