NewsBreak Venture, AI Growth Intelligence Engineer (New Grad）

NewsBreak • Mountain View, CA

8d • Hybrid

About The Position

NewsBreak is seeking a curious and technically strong software engineer to join its Corporate Ventures and AI Operations team. This hybrid role focuses on backend engineering, ML infrastructure, and revenue systems. The engineer will build and maintain pipelines and services for the ads platform, engineer recommendation systems, develop tools for automating sales commissions and quota-setting, and collaborate with business stakeholders to deploy production systems. The role requires a focus on user experience, engagement, and retention at scale.

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.
• 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.

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.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level