**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 AdTechfounders & CEOs.
We’re a humble but ambitious team that takes its work seriously but never
ourselves. Come join us.
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 use the right tool for the job.
You embrace modern AI-powered development tools to move faster and code
smarter. You use technologies like Claude Code, Cursor, and GitHub CoPilot to
automate routine work, explore ideas quickly, and focus your time on higher-
value system design and innovation.
You value structured software development practices—testing, documentation,
CI/CD, and code review—and care about building maintainable systems that
scale.
You believe developers should operate what they build. You think about
observability, cost, and reliability from day one, and design systems that are
easy to deploy and maintain. You’ve built in the cloud and know both its power
and pitfalls.
You like turning ideas into tools that make real customers more effective. You
collaborate closely with Product to design features that solve real-world
problems and delight users.
You mentor others, share knowledge freely, and understand that healthy human
systems are the foundation of healthy technical systems. Teammates look to you
for guidance.
You want to understand how things work and why. You care more about the best
idea winning than whose idea it is.
You take responsibility, move quickly to fix problems, and take pride in
establishing areas of deep expertise in a fast-changing environment.
You believe high-trust, inclusive teams outperform individuals. You
communicate clearly and compassionately, and contribute to a culture where
people enjoy working together.
**Bonus points:**
Have worked with modern backend ecosystems like Java/Kotlin/Groovy (Spring
Boot or Grails) and know how to design APIs that scale elegantly.
Are fluent with data systems such as MySQL, DynamoDB, and Presto, and
understand the tradeoffs between relational and NoSQL storage.
Have built cloud-native applications on AWS, especially using Kubernetes and
Terraform for automation and scalability.
Know your way around modern front-end frameworks like React/Redux and enjoy
collaborating up and down the stack.
Have startup DNA—you’re comfortable with ambiguity, iterate fast, and make
pragmatic technical decisions.
Bring experience from AdTech, MarTech, or measurement platforms, or are
excited to learn how AI and large-scale data intersect in this space.
**_Please note: Our interview process will require an in-person meeting._**
**Why You’ll Like Working Here:**
Engineering-first company: Upwave’s success depends on high-velocity
innovation, and we believe high velocity comes from high efficiency, not high
effort. We set priorities rather than deadlines, we don’t crunch, we work
reasonable hours, and engineers actually take vacations.
Modern tech stack: Python analytics, Kotlin/Java APIs, event streaming (100k+
RPM), DynamoDB, Kubernetes, AWS, Terraform, LLM orchestration.
Impact at scale: Your code processes billions of advertising events and
directly influences multi-million dollar decisions by Fortune 500 brands.
Autonomy and ownership: Our engineers lead projects from design through
deployment and monitoring.
Ambitious but humble culture: We take our work seriously but never ourselves.
Upwavers collaborate hard and support each other generously. We screen for
people who are both exceptionally talented and genuinely kind.
Remote-first team: Our diverse team spans half the globe (but only one half,
to ensure everyone can talk live when we need to). We balance synchronous core
hours with flexibility to create a work environment that enables both deep
collaboration and deep work.
**Additional Information:**
The annual base salary range for this role is $150,000 - $175,000 + bonus +
equity + benefits. Our salary ranges are determined by role, level, and
location. The range displayed on each job posting reflects the minimum and
maximum target for the new hire salaries for the position across all US
locations. Within the range, individual pay is determined by work location and
additional factors, including job-related skills, experience, and relevant
education or training. Your recruiter can share more about the specific salary
range for your preferred location during the hiring process. Please note that
the compensation details listed in US role postings reflect the base salary
only, and do not include bonus, equity, or benefits.
Upwave is an equal opportunity employer. We celebrate diversity and are
committed to creating an inclusive environment for all employees.