Top Remote Senior Level Jobs in Portland, OR

Serve as the CEO's strategic and operational right hand at an AI LegalTech startup: prepare executive/board/investor materials, build financial models and decks, contribute litigation expertise to product content, validate LLM-generated analyses, drive cross-functional execution, manage company operations (recruiting, vendor administration, OKRs), represent the CEO, and handle special projects across finance, legal, and partnerships.

Leads software engineering teams, develops technical and people leaders, modernizes legacy customer-facing applications, and advances engineering practices. Partners with product, architecture, quality, DevOps, delivery, and business stakeholders to improve reliability, security, customer experience, adoption, and delivery speed. Drives CI/CD, automation, observability, resilience, cloud-native practices, and responsible adoption of AI-assisted software development while managing priorities, risks, dependencies, capacity, and organizational change.

Develops internal and external corporate communications through journalistic storytelling, content strategy, executive communications, and brand-aligned messaging. Translates complex insurance concepts into accessible content, manages multi-channel calendars and projects, interviews stakeholders, and connects organizational stories to strategic goals. Collaborates cross-functionally to produce compelling written content and thought leadership while tailoring communications to diverse audiences and corporate leaders.

Design and refine Qdrant’s visual identity across marketing campaigns, social media, blog posts, presentations, landing pages, advertisements, email campaigns, and event materials. Build AI-assisted creative tools and workflows, direct AI-generated imagery, maintain brand consistency, and deliver polished work across multiple projects on tight timelines.

Lead two engineering teams of 8–10 engineers, owning delivery, quality, capacity planning, sprint execution, OKRs, hiring, retention, and professional development. Establish scalable engineering processes, quality gates, testing standards, observability, and continuous improvement practices. Partner with Product Managers on roadmap execution while providing technical guidance on architecture, APIs, backend systems, infrastructure, and frontend platforms.

Manage and improve customer renewal processes for the Americas, overseeing high-volume renewals, negotiations with channel partners and end users, account priorities, forecasting, and renewal performance reporting. Collaborate with sales, customer success, finance, and product teams to drive retention and customer satisfaction. Analyze renewal trends, identify risks and opportunities, manage contracts, and engage C-level stakeholders while developing scalable renewal playbooks.

Deputy to the Chief Engineer responsible for leading engineering personnel, planning and executing maintenance and repairs, managing spares and fuel operations, ensuring environmental compliance, supporting safety investigations, and maintaining the shipboard management system and risk assessments.

Leads complex enterprise customer implementations from closed-won commitment through go-live, adoption, measurable ROI, and account health. Owns implementation plans, milestones, risks, technical coordination, customer onboarding, executive updates, value realization, and process improvement. Partners across Sales, Product, Engineering, AI, and customer teams while identifying expansion signals. The role requires strong enterprise stakeholder management, technical understanding of integrations and workflows, and regular customer-site travel.

Leads business development and market expansion across India for ITIL products. Builds pipelines, develops partner and enterprise relationships, drives B2B sales strategies, mentors commercial and events teams, manages key accounts, coordinates with global teams, resolves customer issues, monitors targets, and represents the company at trade shows and strategic forums.

Design, build, and operate production agentic AI systems for enterprise clients. Develop autonomous agents using Glean, OpenAI/GPT Enterprise, and AWS or GCP. Own agent workflows from architecture and implementation through deployment, monitoring, evaluation, security, and iteration. Apply tool calling, RAG, multi-step orchestration, memory, prompt engineering, structured outputs, permission-aware retrieval, and cost and latency optimization. Measure reliability and quality using evaluations and maintain enterprise-scale production software.