NewsBreak Venture, AI Growth Intelligence Engineer (New Grad）
Newsbreak · Mountain View, California, United States · Posted Jul 7, 2026
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About NewsBreak
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 www.newsbreak.com/about
About the Role
We're looking for a curious, technically strong software engineer to join our Corporate Ventures and AI Operations team. This is a hybrid role sitting at the intersection of backend engineering, ML infrastructure, and revenue systems — you'll build and maintain the pipelines and services that power our ads platform, engineer the recommendation systems that keep users coming back, build the tools that automate commission and quota-setting for our ad sales team, and work closely with business stakeholders to ship production systems that turn data into decisions. You care about the milliseconds between a user opening the app and finding something they love. You think about what makes someone stay, subscribe, and come back tomorrow — and you write the code that makes that happen at scale.
Responsibilities
Audience Retention Performance Systems
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
Recommendation Personalization Systems
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
Data Backend Engineering
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
Contribute to the data architecture supporting ad-tech integrations, paywall flows, and subscription checkout — helping ensure these monetization surfaces are instrumented, reliable, fast, and resilient
Help build automated checks to monitor data quality and flag data integrity issues
Partner with platform and engineering teams to keep systems scalable, observable, and well-documented
Revenue Operations Tooling
Support the engineering behind the commission calculation system for the ad sales team, with a senior engineer owning overall design — focusing on accuracy, reliability, and auditability
Help build tools that support sales quota-setting, working alongside senior engineers and Finance partners who own the underlying business logic
Contribute to simulation tools that model commission payout scenarios and the cost/incentive impact of quota and comp plan changes
Work with cross-functional partners (product, marketing, sales) to understand their tooling needs and help ship solutions
Help build alerting to surface trends and anomalies in ads performance
Help automate recurring operational reporting to free up team bandwidth
Requirements
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
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