Top Tech Jobs & Startup Jobs in Boston, MA

Territory-focused hunter responsible for full-cycle sales: outbound prospecting, pipeline generation, discovery, pitching, negotiation, closing, and cross-functional handoffs. Educate customers on Apartment List platform and AI leasing solutions, maintain Salesforce/Gong hygiene, and travel within the Northeast territory to drive new business.

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.

Build full-stack marketplace features and ML Ops infrastructure for search, ranking, and renter-facing products. Develop model deployment pipelines, feature stores, real-time data pipelines, and monitoring using Chalk and Vertex AI. Collaborate with data scientists to productionize models, improve system performance and reliability, write tested code, participate in reviews, plan technical work, and communicate effectively across distributed teams.

Build full-stack marketplace features for search, ranking, and renter-facing products while supporting ML Ops infrastructure. Develop model deployment pipelines, feature stores, real-time data pipelines, monitoring, and production integrations with data scientists. Write tested code, review contributions, plan technical work, and improve system performance, reliability, and scalability. Collaborate with product and globally distributed engineering teams.

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.

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.

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.

Own and optimize paid search campaigns (Google Ads, Microsoft Ads) to drive renter acquisition. Identify keywords/audiences, run A/B tests, analyze performance, report insights, collaborate cross-functionally, and contribute to performance marketing strategy and playbook.

Own and evolve end-to-end data pipeline architecture across ingestion, transformation, modeling, and serving. Lead platform improvements (cost, compute efficiency, access control), CI/CD, monitoring, and incident response. Drive cross-team technical initiatives, mentor engineers, and integrate AI tooling to improve workflows while remaining hands-on building and debugging production pipelines.

Run end-to-end renter support across three brands, administer and optimize Zendesk, maintain and retrain AI support automations, convert ticket trends into improved macros/workflows and documentation, handle complex escalations, keep Help Center and SOPs current, and own core support metrics and coverage coordination.