Top Tech Jobs & Startup Jobs

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.

Lead partner-led acquisition and revenue growth by owning trade shows/events, global agency enablement, and partner ecosystem expansion. Plan and execute event strategies, build scalable agency training and certification, form integration/referral partnerships, run co-marketing campaigns, and use data to drive qualified advertiser leads and measurable ROI.

Lead full-cycle technical recruiting for engineering and AI teams, owning sourcing, interview design, stakeholder advising, and offer management. Build proactive pipelines, advise on market compensation and hiring strategy, champion recruiting operations and AI-enabled sourcing tools, and continuously improve hiring metrics and candidate experience for senior and principal-level technical hires.

Serve as a strategic talent partner advising executives on hiring strategy, organizational design, and workforce planning. Lead full-cycle recruiting for engineering, AI/ML, infrastructure, and leadership roles while improving recruiting operations, sourcing automation, and candidate experience. Coach managers across the employee lifecycle and use talent intelligence to influence business decisions.

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.

Design, build, and operate large-scale, low-latency recommendation systems (retrieval, ranking, multi-objective optimization). Drive offline training, online inference, A/B testing, and metric analysis. Apply LLMs and foundation models for content understanding, user intent, and feature generation. Rapidly prototype AI/LLM ideas and own projects from MVP to production, ensuring data quality and system performance.

Lead technical direction and architecture for large-scale personalization and recommendation systems. Drive adoption of LLMs/foundation models, own retrieval-to-ranking pipelines, model lifecycle management, experimentation, and production scaling. Mentor teams and shepherd 0→1 AI platform initiatives into maintainable production.