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Roles
Compensation
USD 150000 - 175000
$150k-$175k + bonus/equity/benefits for Full-time role
- Salary period
- yearly
- Location basis
- 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.
- Equity
- equity
- Bonus
- bonus
Benefits
- bonus
- equity
- benefits
Tech stack
Required
Nice to have
Location
REMOTE (US)
Work setup
- Employment
- full-time
- Level
- Senior
- Remote policy
- REMOTE (US); remote-first in the US; interview process includes an in-person meeting.
- Remote scope
- country-limited
- Timezones
- Remote-first in the US, We balance synchronous core hours with flexibility
- Travel
- Interview process includes an in-person meeting.
Role details
Responsibilities
- Build APIs and data pipelines
- Productionize analytics/statistical workflows with Product and Data Science
- Improve reliability and performance
- Build AI-powered customer experiences
- Ship and operate backend services
- 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.
Requirements
- Senior full-stack/backend-leaning engineer
- Productive quickly in JVM/Spring Boot stack
- Recent production experience with Java, Kotlin, or similar
- Experience helping ship and operate backend services without long stack ramp-up
- Python experience
- SQL/data modeling experience
- AWS/Kubernetes/observability experience
- High-volume event or analytics pipeline experience
Application
Apply: https://www.upwave.com/job/8547924002/
- Portfolio
- not required
- GitHub
- not required
- Cover letter
- not required
- Apply flow
- external
- Canonical URL
- https://www.upwave.com/job/8547924002/
Company context
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.
- Product
- brand measurement software for large advertisers, agencies, and media partners
- Industry
- brand measurement software
- Size
- growth-stage
- Stage
- growth-stage
- Funding
- 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
Contact
jason.kelly
jason.kelly@upwave.com
Description
Upwave builds brand measurement software for large advertisers, agencies, and media partners. We process high-volume ad exposure + survey/event data and turn it into brand lift, reach validation, optimization recommendations, and AI-assisted analysis for enterprise marketers. Senior full-stack/backend-leaning engineer productive quickly in our JVM/Spring Boot stack. Recent production experience with Java, Kotlin, or similar is important. Build and operate backend services without a long stack ramp-up. Strong candidates also bring Python, SQL/data modeling, AWS/Kubernetes/observability, and high-volume event or analytics pipeline experience. Work includes building APIs and data pipelines, productionizing analytics/statistical workflows with Product and Data Science, improving reliability/performance, and building AI-powered customer experiences. Stack includes Kotlin/Java, Python analytics services, React, MySQL, DynamoDB, AWS, Kubernetes, Terraform and LLM orchestration. Profitable/growth-stage, remote-first in the US, engineering-led with high velocity. Interview process includes an in-person meeting. Apply via https://www.upwave.com/job/8547924002/ or email jason.kelly@upwave.com.
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