Top Remote Jobs in Portland, OR

Drive client growth by selling Circana data and software solutions, translating POS and other data into actionable insights, managing end-to-end sales cycles, collaborating with internal teams, and meeting revenue targets while maintaining industry expertise in CPG/foodservice/retail.

Lead revenue growth and client relationships for the Books business, translating complex data into insight-led solutions, managing end-to-end sales cycles, partnering cross-functionally, and mentoring teams to drive measurable client outcomes.

Lead content strategy and execution across long-form research, newsletter, podcast, and social for compliance leaders. Build and grow content programs, repurpose ideas across channels, work with founders and experts, host/produce podcast, and measure performance to optimize results.

Develop and maintain spacecraft flight software across the full lifecycle: requirements, design, implementation, testing, integration with HIL and flight hardware. Build tools and simulations, perform subsystem and platform-level tests, support anomaly resolution, systems modeling, and proposal efforts while collaborating with manufacturing and customers.

Lead development of spacecraft Guidance, Navigation, and Control systems through full lifecycle: requirements, design, simulation, algorithms, flight software, and verification. Develop simulation tools, drive reuse of heritage Airbus products, support subsystem requirements and integration, and optimize designs for cost, manufacturability, and testing. Collaborate cross-functionally across spacecraft, payload, and launch integration activities.

Lead design and delivery of agentic AI systems and LLMOps on AWS to generate, validate, and deploy infrastructure-as-code (Terraform). Build multi-agent applications, RAG pipelines, and AIOps for cloud operations; integrate AI into CI/CD and ITSM. Set technical direction, establish guardrails/policy-as-code, curate reusable Terraform modules, and mentor engineering teams.

No job description, responsibilities, or qualifications were provided. Title suggests a combined Data Engineer and Business Analyst role, likely involving data pipelines, ETL, data modeling, and business requirements/analytics, but specifics are not available.

Senior technical leader responsible for architecting and operationalizing generative AI across the enterprise. Drive end-to-end GenAI architecture, select models and agent frameworks, productionize RAG and agent solutions, ensure observability, guardrails, and cost optimization, integrate with AWS and DevOps toolchains, advise CXO stakeholders, shape AI strategy, and define governance and upskilling programs.

Lead product strategy and roadmap for high-priority platform areas, owning end-to-end content creation and AI-powered features. Partner with Engineering, Design, and Data to ship measurable outcomes, mentor peers, and translate customer insights into scalable solutions for creators and learners.

Create and publish hands-on DevOps and platform engineering use cases: build working demos (pipelines, integrations, configs), write clear tutorials and documentation, and distribute content to drive organic traffic and signups. Collaborate with product, maintain a steady publishing cadence, and produce runnable examples that reduce support load.

First DevRel hire responsible for creating video screencasts and polished demos, writing runnable technical tutorials and blog posts, engaging developer communities (Discord, Reddit, HN), and occasionally representing the company at events. Focus on turning product features into practical workflows that drive traffic, signups, and a library of use-case demos.

Drive execution of business system initiatives: gather technical requirements, track timelines, manage blockers, communicate status, and provide hands-on Salesforce administration and support.

Lead end-to-end execution of complex technical and enterprise system initiatives. Partner with Sales, Marketing, Finance, Product, and Engineering to define requirements (PRDs), manage timelines, mitigate risks, and align stakeholders. Continuously evaluate and optimize core systems to scale workflows and improve productivity.

Lead product strategy and technical design for privacy-safe, multi-party data clean room integrations and identity resolution. Drive cross-functional execution with Engineering, Data Science, Legal, and BD, commercialize a major product line, mentor PMs, resolve systemic API/data pipeline issues, and communicate initiatives to executives and external partners.

Provide full-scope HR support and strategic HRBP services for multiple clients: develop and implement HR strategies, ensure compliance, administer HRIS/payroll/benefits, manage onboarding/offboarding and LOAs, support employee relations and performance management, and assist with M&A readiness and culture programs.

Support enterprise fraud risk management by assessing risks, conducting OSINT-driven intelligence and investigative analysis, developing dashboards and reports, coordinating with cybersecurity, legal, audit, and law enforcement, and enhancing fraud detection and mitigation across the organization.

Design and build robust backend services and secure APIs for finance and reader applications. Implement authentication, payments, subscriptions, and finance workflows. Design Postgres/Redis schemas, integrate with financial APIs (BSE Star MF, NSE) and DRM services, and ensure compliance-friendly data handling.

Work on real-world web applications across frontend and backend. Use modern frontend frameworks (React/Angular/Vue) and backend tech (Node.js, Python, Java, PHP). Integrate RESTful APIs with databases (MongoDB, PostgreSQL, MySQL), debug, test, optimize performance, and collaborate with designers and product teams while gaining hands-on mentorship.