Top Tech Jobs & Startup Jobs in Portland, OR

Label and outline plants in agricultural images using an online tool, tag crop and weed types per guidelines, maintain high accuracy across many images. Remote, flexible internship (3 months) with a monthly stipend and completion certificate. No coding or prior labeling experience required; video tutorials provided.

The Senior Billing & Revenue Analyst will own the billing lifecycle, manage Zuora systems, address billing discrepancies, support revenue accounting, and drive AI adoption in billing operations. Responsibilities include customer support, contract advisory, and accounts receivable management for a SaaS environment.

The Senior Growth Engineer will build web experiences and backend systems to drive growth at Buffer, focusing on features, integrations, and experiments to enhance marketing performance.

The Senior Customer Lifecycle Analyst will enhance marketing performance by leveraging technical expertise in customer lifecycle management, evaluating campaign effectiveness, and providing strategic insights to optimize marketing strategies.

As a Staff Software Engineer, you'll design and build backend services, lead system design efforts, mentor engineers, and ensure system quality and reliability.

Kalles Group invites candidates to propose their ideal roles, emphasizing their skills and vision for collaboration. The focus is on building trust and fostering relationships.

As a Data Analyst, you will create dashboards, analyze data, and ensure data quality while working with the VP of Finance.

Design and maintain enterprise data architecture and lakehouse solutions. Lead data migration, integration, governance, and BI enablement. Define strategy, implement pipelines, ensure data quality, security, and provide technical leadership and mentoring.

As a Midweight Designer, you will create impactful gaming campaign visuals, develop digital assets, and collaborate with multiple teams to deliver innovative design solutions.

The Data Scientist at GenLogs will build machine-learning systems, analyze large datasets, and collaborate with engineering and product teams to deliver advanced logistics intelligence solutions.