NewsBreak Venture, AI Growth Intelligence Engineer (New Grad）

Summary

NewsBreak is a Content Intelligence platform founded in 2015, recognized for its innovative approach to personalized local news and information. The AI Growth Intelligence Engineer will work at the intersection of backend engineering and machine learning infrastructure to build and maintain systems that enhance user engagement and support ad operations.

Responsibilities

• 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
• 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
• 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

Skills

• 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
• Basic understanding of A/B testing and experimental design principles
• Exposure to distributed data processing concepts (Spark, Hive, or similar)

Qualifications

Must Haves

• 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
• Basic understanding of A/B testing and experimental design principles

Nice to Haves

• Exposure to distributed data processing concepts (Spark, Hive, or similar)

Benefits

• 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
• Depending on the position, the role may also be eligible for discretionary bonus and options