Jobs at NewsBreak

Lead backend architecture upgrades and implement AI-native infrastructure for high-QPS recommendation systems. Build safe-production AI agent infrastructure, automate engineering workflows, deliver backend features for product initiatives, and own reliability, observability, and safe rollout practices.

Design and architect Android systems and modular components to support multiple apps. Ship end-to-end user features using an AI-assisted workflow, improve developer tooling and CI, set quality and safety standards for AI-generated code, solve performance and production issues, and document playbooks for the team.

MBA HR Intern within NewsBreak's Management Rotation Program to gain hands-on exposure across HR functions (Total Rewards, HRBP, TA, Employee Relations). Interns receive executive mentorship, complete at least two impactful assignments tied to business objectives, analyze HR data to surface trends, and present recommendations to leadership. Designed for MBA candidates with prior business experience and interest in HR leadership development.

Use advanced analytics, statistical modeling, and machine learning to optimize ad delivery, targeting, and revenue. Design A/B experiments, build scalable data pipelines and real-time ML systems, create dashboards and insights, and collaborate with engineering and product to improve ad personalization, ranking, and bidding.

Build components of an AI Account Manager to automate hosting and optimization for advertiser accounts. Develop diagnosis and recommendation models using LLMs and delivery history, implement observability, dry-run safeguards, and evaluation pipelines, and collaborate with senior engineers and product to ensure reliable, auditable optimization that preserves account health and drives revenue.

Design and develop machine learning infrastructure, enhancing core components for model training, monitoring, and serving. Collaborate with ML engineers on robust pipelines.

Build and own an agentic creative pipeline that generates, vets, and optimizes thousands of image and video ad variants daily: extend LLM critic feedback to multimodal assets, build fast cost-efficient video pipelines, route generative models by cost/quality, train and deploy brand-style checkpoints, implement policy pre-flight checks, and ship event-triggered ad pipelines with A/B validation in production.

Own and scale streaming Kafka pipelines and large-scale Spark batch jobs processing billions of rows. Drive pipeline reliability, observability, data modeling, and cost/latency optimizations. Partner with data scientists and platform engineers, define SLOs, improve efficiency, contribute to shared infrastructure (Airflow, libraries, data catalog), and mentor junior engineers.

Manage a portfolio of agency clients as the primary contact: lead onboarding and campaign launches, run performance reviews and QBRs, drive scale and retention, diagnose and save at-risk accounts, educate agencies on ad products, and collaborate with ad ops, product, and sales to resolve technical issues and shape product roadmaps.

Manage a portfolio of eCommerce performance advertisers to drive revenue growth through campaign optimization, scale, and product adoption. Analyze performance data, run QBRs, troubleshoot tracking integrations (pixels, SDKs, server-to-server), and partner with Product, Engineering, and Ad Ops to improve platform features and client outcomes.

Manage a portfolio of performance advertisers in the App vertical to drive revenue growth through campaign optimization, scaling spend, and client adoption of ad products. Provide data-driven optimizations, conduct QBRs, troubleshoot tracking/integration issues, and partner cross-functionally to influence product and platform improvements.

Build and deploy ML systems for search, recommendation, ranking, retrieval, matching, and personalization. Work on query understanding, embeddings, NLP/LLMs, end-to-end ML pipelines, experimentation, and monitoring to improve relevance, engagement, conversion, and marketplace efficiency in a consumer local-search product.

Build and productionize ML models and pipelines for search, recommendation, ranking, retrieval, matching, and personalization. Apply NLP, embeddings and LLMs for query understanding and semantic retrieval. Partner with product, engineering, and data teams to define problems, run experiments, and measure impact to improve relevance, engagement, conversion, and marketplace efficiency.

Build and manage end-to-end sourcing pipelines for software engineering roles using recruiting tools. Craft outreach, conduct phone screens, partner with recruiters and hiring managers, maintain ATS data, produce talent maps and sourcing metrics to optimize pipeline conversion.

Provide high-touch executive support including complex calendar management, travel planning, meeting preparation, expense processing, and project tracking. Serve as primary liaison to leadership and coordinate team events. Support HR tasks such as interview scheduling, onboarding logistics, benefits administration, and immigration case coordination. Maintain discretion, streamline processes, and support cross-functional initiatives.

Design and build search-ranking, two-sided marketplace matching, retrieval/recall, and dispatch models. Own end-to-end learning-to-rank pipelines, run causal experiments (A/B, switchback), apply modern ML/LLM methods, and optimize relevance to improve marketplace conversion at production scale.

Build and scale NewsBreak's local knowledge graph: POI/places schema and ontology, entity resolution/linking, multi-source POI fusion, and data-quality systems. Ensure graph accuracy over time and partner with intent and matching teams to power search, discovery, and matching.

Own a local commerce/local services vertical end-to-end: define strategy, roadmap, launch, and growth with P&L ownership. Lead 0→1 category validation, MVP, and go-to-market (supply acquisition, demand, pricing, liquidity). Partner with engineering and data science to embed AI/LLM features and use marketplace metrics to prioritize and measure impact.

Build and ship 0→1 growth mechanics for AI products: code acquisition funnels, onboarding, referral/viral loops, activation triggers, and monetization experiments. Instrument lightweight analytics and A/B testing, run experiments, measure traction, and hand off successful mechanics to product teams.

The role involves leading technical directions for recommendation systems and AI initiatives, driving adoption of AI technologies, and mentoring others in system-level thinking.