Top Tech Jobs & Startup Jobs in Portland, OR

Define enterprise cloud database strategy and architecture standards while leading large-scale modernization, migration, high-availability, disaster-recovery, and multi-region initiatives. Design secure, scalable database platforms across AWS and multiple database technologies; establish governance, observability, backup, recovery, and cost-optimization practices. Partner with engineering, security, infrastructure, and business leaders, provide architectural guidance, influence technical direction, and mentor database engineering teams.

Develop and deliver enablement programs for Customer Retention and Account Management teams. Responsibilities include designing onboarding, learning paths, certifications, playbooks, and coaching resources; facilitating training on consultative selling, retention, winback, and expansion; analyzing CRM and call data to identify performance gaps; partnering with managers and cross-functional teams; and evaluating program impact through behavioral and business performance metrics.

Deploy and operate Neural Concept’s AI platform in enterprise customer environments, from architecture through go-live and steady-state support. Integrate identity, data, engineering systems, infrastructure, and model-serving layers across cloud, on-premises, air-gapped, GPU, and HPC environments. Partner with customer IT and security teams, troubleshoot cross-system issues, create runbooks and post-mortems, and feed deployment insights into Product. The role requires customer-facing communication, production deployment ownership, and travel to U.S. customer sites.

General talent-network posting inviting engineers, designers, commissioning specialists, and other professionals to share their skills and career interests. The company will contact candidates when a future opportunity aligns with their background. No specific responsibilities, qualifications, technologies, compensation, or work location are provided.

Design and build a production-grade AI memory and retrieval engine for personalized, privacy-preserving LLM experiences. Responsibilities include developing multi-tier storage and hybrid retrieval pipelines, memory extraction and classification, adaptive updates, evaluation frameworks, and reliability safeguards. The role researches advanced memory architectures, supports agentic workflows and tool integrations, collaborates with product management, and owns production operations. Strong software engineering, Python, NLP/ML, vector database, LLM orchestration, privacy, and RAG expertise are required.

Design and own backend infrastructure for a privacy-first AI memory platform. Responsibilities include multi-tier memory storage, secure multi-tenant isolation, real-time APIs, caching, LLM integrations, retrieval systems, synchronization, monitoring, deployment pipelines, and production reliability. The role requires close collaboration with ML engineering and product teams while owning architecture, infrastructure, testing, security, and operational troubleshooting.

Design and build production-grade AI memory systems, including retrieval pipelines, storage tiers, privacy filtering, memory extraction, adaptive updates, hybrid search, and evaluation frameworks. Ship and maintain LLM-powered features, diagnose RAG and prompt failures, implement agentic workflows and tool integrations, and ensure reliable degradation and fallback strategies. Collaborate with product management to define feasible memory-system capabilities while owning production reliability.

Create visual designs and brand experiences across digital, print, motion, data visualization, social, video, and events. Responsibilities include developing concepts, animations, storyboards, design systems, style guides, presentations, and multimedia deliverables. The role requires strong typography, layout, identity, information design, collaboration, communication, presentation, and quality-control skills, along with familiarity with IBM’s brand systems and business goals.

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.