Top Tech Jobs & Startup Jobs in Portland, OR

Leads and matures the third-party risk management program across cybersecurity, privacy, and AI governance. Conducts vendor risk assessments, evaluates data protection and AI practices, manages onboarding through offboarding, monitors continuous and Nth-party risk, tracks remediation, reviews contract terms, supports audits, and maintains governance reporting. Partners with Legal, Privacy, Security, Procurement, AI Governance, and business teams to improve workflows, communicate risks, and develop scalable assessment processes.

Manage enterprise restaurant accounts from onboarding through long-term growth. Improve retention, educate clients using customized data-driven materials, identify expansion opportunities, mitigate churn risk, lead monthly business reviews, interpret account data, and collaborate with analytics, product, marketing, and operations teams to strengthen retailer relationships.

Conduct research, landscape analysis, due diligence, and financial reviews to identify nonprofit grant partners aligned with the foundation’s strategy. Prepare evidence-based recommendations for grant decisions, monitor AI and data-for-good trends, synthesize grant outcomes, and develop portfolio insights. The role also supports relationship management, cross-grantee collaboration, strategic learning, and systems that improve grantmaking effectiveness.

Manage a portfolio of clients as a strategic advisor, driving retention, renewals, expansion, platform adoption, and revenue growth. Develop data-driven email, SMS, lifecycle, and omnichannel marketing strategies; lead QBRs; coordinate cross-functional delivery; educate clients on platform capabilities; and oversee billing, budgeting, forecasting, and issue resolution.

Build and maintain cloud-native infrastructure, automate manual operations, develop Terraform modules and Helm charts, manage Kubernetes and service mesh configurations, monitor GCP databases and services, improve observability, maintain CI/CD pipelines, and use AI coding agents to enhance infrastructure development. Collaborate with engineering teams on instrumentation, architecture, capacity planning, scalability, reliability, security, and developer experience.

Own full-cycle, net-new enterprise sales for the MapQuest mapping platform. Build outbound pipeline across targeted verticals, sell location APIs and SDKs to technical executives, manage technical evaluations and proofs of concept, negotiate enterprise contracts, and close multi-year deals. Partner with Solutions Architecture, procurement, product, and company leadership while providing market feedback. This is a remote individual-contributor role with prospect and event travel.

Lead the technical direction, architecture, and development of Compass, an LLM-powered agent platform. Design multi-agent systems, MCP and A2A integrations, orchestration, evaluation, and observability infrastructure. Drive cross-team technical projects, production support, engineering quality, mentoring, and adoption of AI-assisted development practices. Partner with Product, QA, Design, Operations, and Engineering stakeholders to deliver reliable agentic systems.

Own Cleo’s application and product security program across SaaS and customer-hosted products. Lead SSDLC practices, threat modeling, security tooling, vulnerability management, penetration testing, coordinated disclosure, CVE publication, and NIST CSF controls. Define product security standards, roadmap, secure defaults, access controls, and customer-facing advisories. Partner with engineering, product, architecture, and customers while guiding security engineers and consultants. Also establish protections for LLM applications, AI agents, and AI-assisted development workflows.

Architect and deploy production-grade autonomous AI agents for semiconductor manufacturing. Responsibilities include designing multi-agent systems, RAG and agent pipelines, evaluation and profiling frameworks, MCP/A2A integrations, security controls, and Kubernetes-based CI/CD deployments. The role requires optimizing inference workloads, transforming AI prototypes into scalable systems, collaborating with data teams and manufacturing experts, and mentoring engineers.

Owns the end-to-end redemption and fulfillment pipeline, including vendor SLAs, shipping, exceptions, customer support processes, and cost reconciliation. Manages the product catalog, sourcing, merchandising, pricing, vendor onboarding, and market data integrations. Establishes cross-functional operating rhythms, reporting, decision rights, and scalable processes while building a future fulfillment and merchandising team.