Senior Software Engineer

Upwave: The Brand Outcomes Measurement Platform

Upwave is a leading measurement company entirely focused on measuring and optimizing upper funnel campaigns. The world’s leading advertisers, agencies, and media partners trust Upwave’s robust, AI-driven platform to bring science to the top of the funnel.

With Upwave, marketers maximize the effectiveness of brand spend. Upwave measures Brand Lift, validates Brand Reach, and surfaces Brand Optimization opportunities in one, dynamic platform with cross-channel brand measurement for CTV, Digital, Social, Linear, Addressable, Retail Media, Streaming Audio and more.

We’re a profitable, growth-stage company backed by leading venture investors (Y Combinator, Uncork Capital, Bloomberg Beta, Initialized Capital, PivotNorth, Ridge Ventures, Industry Ventures, Conductive Ventures) and leading AdTech founders & CEOs.

We’re a humble but ambitious team that takes its work seriously but never ourselves. Come join us.

Senior Software Engineer

As a Senior Software Engineer at Upwave, you’ll be a full-stack problem solver with a backend focus—building the APIs, data pipelines, and systems that power our brand measurement platform. Your work will process billions of ad impressions, manage complex data workflows, and deliver insights that inform marketing decisions for the world’s biggest brands.

You’ll collaborate across engineering, product, and data science to ship high-impact features end-to-end, scale our platform for the next phase of growth, and help define the next generation of brand measurement.

What you will do:

• Build AI-powered customer experiences — integrate LLMs and advanced causal inference techniques into production workflows that automatically generate data visualizations, synthesize campaign performance into natural language insights, and help enterprise customers understand and optimize their advertising through our AI analyst "Bayes."
• Design and build scalable backend systems — develop microservices and RESTful APIs that power the analytics platform behind the world’s top brand campaigns.
• Contribute across the stack — work from backend APIs to Python analytics services to React frontends, delivering complete features that combine sophisticated data analysis with intuitive user experiences.
• Engineer data pipelines at scale — design and operate systems that process massive volumes of ad and survey data with MySQL, DynamoDB, and AWS (S3, Lambda, EMR, Kinesis Firehose).
• Improve reliability and performance — deploy services on Kubernetes and AWS, automate deployments via CI/CD, monitor with DataDog and Sentry, and continuously raise the bar for operational excellence.
• Collaborate deeply — work closely with Product and Data Science to productionize statistical models, integrate advanced analytics into customer-facing tools, and bring cutting-edge AI capabilities to enterprise customers.
• Deliver insights that move millions — enable brand lift analytics and real-time campaign insights by building reliable, high-throughput systems. Multi-million dollar advertising decisions hinge on our recommendations.

About you:

You’re an experienced engineer (5+ years) who thrives on solving complex problems across APIs, data systems, and distributed infrastructure. You care about clean architecture, reliable systems, and measurable customer impact.

You’ve built powerful, intuitive, API-driven products for professional users. You’re comfortable across the stack, with experience in RDBMS-backed backends using Spring Boot, Django, Rails, or Express, and single-page frontends built in React, Vue, or Angular.

You understand and enjoy programming. You’re fluent in the modern landscape of UI frameworks, API and microservice architectures, databases, and cloud platforms—and know when to apply each tool.