Top Tech Jobs & Startup Jobs

As a Growth Intelligence Engineer, you will develop data pipelines, recommendation algorithms, oversee revenue operations, and utilize data analysis to enhance user engagement and retention.

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 Account Manager role involves converting sign-ups to paid advertisers, managing onboarding, and optimizing account performance while collaborating with the product team.

The Senior Machine Learning Engineer will enhance recommendation systems, employ AI/LLM technologies, and drive AI innovation for content discovery and user engagement.

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

As a Senior Account Manager, you will drive growth by managing client relationships, presenting campaign metrics, and achieving retention goals while collaborating with internal teams.

Design and build end-to-end signal-to-model pipelines: large-scale feature engineering, identity prediction and embeddings, integrate outputs into ads targeting/bidding, own model lifecycle, ensure low-latency online serving, improve signal quality, run A/B tests, and provide technical leadership across Ads, Data, and Infra teams.