Top Tech Jobs & Startup Jobs in Portland, OR

Lead the launch and growth of the energy infrastructure business unit, manage projects, build teams, and drive client relationships.

The Sr. Trade Compliance Specialist ensures compliance with trade regulations, conducts export reviews, and collaborates on cross-border operations while providing training and support.

The National Channel Manager manages channel partners to drive sales, develop strategies, negotiate contracts, and monitor performance to increase revenue while collaborating with internal teams.

The Senior Enterprise Sales Manager will lead enterprise sales cycles, focusing on platform and API-driven solutions, while engaging with stakeholders and managing complex decision processes across multiple teams.

The Global Payroll Manager oversees payroll operations across multiple countries, ensuring compliance with regulations, managing teams, and enhancing processes for efficiency.

The Sr Sales Representative will drive revenue growth, manage sales processes, engage with C-level clients, and optimize sales cycles in the Life Sciences industry.

Support onboarding of newly acquired firms as the dedicated Billing Analyst for the first three months post-acquisition. Provide training, review and correct billing data, host virtual office hours, report progress, transition firms to assigned analysts, and standardize billing processes. Travel frequently (up to 50%) to support Aprio Week and onsite onboarding.

Lead strategy and execution for Scribd's Search product, defining multi-year roadmaps and metrics, partnering with ML, engineering, design, and analytics to ship ML-driven retrieval and ranking features that improve relevance, engagement, and conversion across large-scale consumer surfaces.

Lead data management for complex global clinical trials, ensuring quality and compliance while mentoring staff and driving process improvements.

Lead design, development, and production deployment of large-scale ML and LLM-powered document intelligence products. Build and scale models and services, mentor ML engineering teams, drive model lifecycle, and apply knowledge graphs, GNNs, RAG, and cloud infrastructure to improve contract intelligence and customer experience.