Venture, AI Growth Intelligence Engineer (New Grad）

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
• 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

Benefits

We offer a competitive benefits package:

• 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