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Signal Integrity Engineer in Seattle

2 active opportunities · Updated for September 2026

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Explore current signal integrity engineer jobs in Seattle. Use filters to narrow by work mode, employment type, experience and date posted.

B
Brex
📍 SeattleFull-time$131.1K – $163.9K/yr
4 days ago

Why join us Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career. Marketing at Brex The Marketing team tells the Brex story — turning product innovation into customer obsession. We develop messaging, shape the brand, and bring our platform to life through thoughtful, compelling content. Our team spans Revenue Marketing, Product Marketing, and Brand Marketing, and works cross-functionally with Product, Sales, Business Development, and Design to drive growth and build trust. What you’ll do Brex is seeking a deeply analytical, growth-rooted Senior Growth Marketing Manager to own, scale, and optimize our Paid Social engine, with Meta as the core growth driver and a clear mandate to test and scale emerging channels. In this role, you will be accountable for down-funnel pipeline, efficient CAC, and customer acquisition. You won't just optimize campaigns; you will engineer signal architecture, build scalable audience models, and establish a high-velocity creative testing engine. Critically, you know how to

airustexcel
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O
1mo ago

About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. The Engineering Acceleration team builds products that multiply the effectiveness of OpenAI’s technical teams, helping engineers, researchers, and product teams understand complex systems, learn from what they ship, and operate reliably at scale. As AI changes how software is built, we have an opportunity to rethink engineering workflows from first principles. We’re creating tools and shared systems that turn complex data, experimentation, and technical workflows into clear decisions and useful action. About the Role In this role, you’ll lead design across two connected product areas: a real-time data exploration and observability experience for investigating large-scale system and product behavior, and an experimentation platform for safely launching changes, measuring their impact, and deciding whether to ramp, iterate, or roll back. This is more than a dashboard-design role. You’ll define the interaction models that take someone from a vague question or unexpected signal to a trustworthy answer and clear next step. You’ll work closely with engineers, researchers, data scientists, and product teams to understand the mechanics of their work and make dense technical systems coherent without flattening the details that matter. You’ll also help establish greater consistency across OpenAI’s enterprise and internal tools, developing durable patterns that support AI-native workflows and enable other designers to build more effectively. This role is based in our Seattle, WA or San Francisco, CA offices. We offer relocation assistance to new employees. In this role, you will: Lead end-to-end design for data-intensive products used by engineers, researchers, and product teams. Shape the complete learning loop: instrument, launch, observe, investigate, evaluate, decide, and iterate. Create clear, high-craft workflows for querying, filtering, comparison, drill-d

awsrestai
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