Founded in 2015, NewsBreak is the Content Intelligence platform shaping the future content economy. With over 40 million monthly active users, our flagship platform delivers highly personalized local news and information powered by advanced AI, recommendation systems, and adtech.
Recognized by Fast Company as #32 on the Top Workplaces for Innovators, we're proud to be Great Place to Work® certified and home to a dynamic team of technologists, product innovators, and business leaders who are passionate about solving meaningful challenges at scale.
Together, we reached unicorn status in 2021, and we remain committed to continuing this high-growth trajectory with the right team to fulfill our mission: building the infrastructure layer for content intelligence.
If you’re inspired to dream big, innovate fast, and make a difference, we’d love to hear from you! For more information, visit ww…
What you'd do
- Help build instrumentation and monitoring systems that track performance signals (load times, stream quality, error rates) to ensure users experience fast, flawless products across web, app, and live streams
- Contribute to backend services and dashboards that track engagement and retention metrics — session length, scroll depth, return rate, and drop-off points
- Build tooling to help surface friction in the user journey, working with product and engineering to ship fixes
- Support the experimentation infrastructure used to test retention-boosting product changes
- Contribute to recommendation algorithms and services that surface the right content to the right user at the right moment, under the guidance of senior engineers
- Help build the data infrastructure (feature pipelines, training datasets, feedback loops) that keeps recommendation models fresh, accurate, and served in production with low latency
- Help instrument personalization systems to measure impact on session time, click-through rates, and long-term retention
- Partner with content and product teams to ship recommendation output into intuitive, performant user experiences
- Build and maintain components of data pipelines and services that process large-scale ads, user event, and engagement data
- Write clean, well-tested code (SQL, Python, PySpark, or similar) to transform raw data into reliable, analysis-ready datasets and APIs, with code review support from senior team members
What they want
- Bachelor's or Master's degree (recent grad or up to ~2 years of experience) in Computer Science, Software Engineering, or a related technical field
- Solid software engineering fundamentals — data structures, algorithms, basic system design
- Proficiency in at least one general-purpose programming language (Python, Java, Scala, or Go) and working knowledge of SQL
- Coursework, academic projects, or internship experience involving data pipelines, backend services, or applied software systems
- Exposure to distributed data processing concepts (Spark, Hive, or similar) is a plus, not required
- Basic understanding of A/B testing and experimental design principles
What you get
- Health, dental, and vision care for you and your family (100% coverage for employee)
- Top-tier 401(K) plan with company matching
- Paid time off and paid holidays
- FSA, HSA and commuter benefits programs
- Team activity budget