Jobs at Apartment List

Build and deploy end-to-end ML models for renter acquisition, supply optimization, ranking, personalization, and marketplace optimization. Lead technical projects from problem framing through experimentation, launch, monitoring, and iteration. Apply statistical methods, causal inference, and rigorous A/B testing. Partner cross-functionally, mentor other data scientists, and raise modeling and experimentation standards.

Run full-cycle technical recruiting for engineering and technical roles on a 6–9 month contract: own requisitions, source passive candidates, run structured screens, manage interview pipeline, partner with hiring managers, and close offers while maintaining candidate experience.

Own day-to-day execution and optimization of paid search (Google Ads, Microsoft Ads) to drive user acquisition. Run keyword expansion, audience segmentation, A/B tests, and bidding strategies; analyze performance, report insights, and collaborate cross-functionally to improve ROAS and scale campaigns.

Lead combined Analytics Engineering and Data Engineering teams owning the end-to-end data roadmap from ingestion to trusted metrics. Manage hiring and performance, set architecture and platform investments, enforce testing/monitoring/documentation standards, review technical decisions, and partner with product and business stakeholders to translate needs into prioritized deliverables.

Lead the technical vision for AI-driven marketing automation. Build a unified data foundation, design and ship LLM-powered agents and automations across content, lifecycle, and paid channels, integrate marketing systems with engineering, run hypothesis-driven experiments, and codify repeatable playbooks to scale marketing engineering.

Lead end-to-end product design for renter acquisition and engagement. Own growth-focused experiences from research and strategy through detailed UI, motion, and launch. Champion brand and visual craft, design systems, and AI-driven tooling while collaborating cross-functionally to ship measurable product outcomes.

Lead end-to-end product design for renter acquisition and engagement. Own growth-focused, visually rich experiences, champion brand and motion, collaborate across product/engineering/data/marketing, and experiment with AI to ship impactful features.

Lead a team of 4-5 mid-market Account Executives to drive quota attainment and healthy pipeline. Coach reps, join and structure deals, improve forecast accuracy, hire and onboard talent, and partner cross-functionally to refine GTM execution. Hands-on role with regional travel (~30%) and involvement in company events.

Lead the Lister engineering domain, owning roadmap, delivery, technical health, partner data quality, and team growth. Manage three pods via team leads, stay hands-on with architecture and code reviews, partner cross-functionally, own intake and reliability, and hire/mentor engineers to scale backend services and data pipelines that integrate messy third-party partner systems.

Build, deploy, and iterate production ML models for marketplace problems (ranking, personalization, renter intent, demand/supply optimization). Own end-to-end projects including feature engineering, modeling, A/B testing, monitoring, and cross-functional communication with Product, Engineering, and Analytics.

Lead the Lister engineering domain end-to-end: set roadmap and technical vision across three pods, ensure partner data quality and system reliability, develop team leads and engineers, drive architecture and code review, manage incident/on-call processes, and partner with Product, Design, Analytics, and Partner Success to translate ambiguous partner needs into scoped engineering work.

Own marketing channel performance tracking, reporting, and analysis. Design and analyze experiments (A/B, incrementality), build dashboards in Looker/Tableau, support LTV and forecasting models, identify measurement gaps, and translate analysis into clear recommendations for Growth, Marketing, and Finance stakeholders.

Build and maintain backend and full-stack marketplace features while supporting ML Ops infrastructure (model deployment, feature stores, real-time pipelines, monitoring). Collaborate with data scientists to bring models to production, write well-tested code, address performance and scalability issues, and contribute to technical planning and cross-functional communication.

Build and maintain full-stack marketplace features and support ML Ops infrastructure (model deployment, feature stores, real-time pipelines, monitoring) on Chalk and Vertex AI. Collaborate with data scientists to productionize models, write well-tested code, address performance/scalability issues, and contribute to technical planning.