Top Tech Jobs & Startup Jobs

Lead Marketplace-wide strategies for reliability, operational excellence, and engineering maturity. Partner with engineering leaders to drive cross-organizational programs in availability, observability, incident management, productivity, and AI. Establish engineering standards, operating mechanisms, organizational metrics, and measure outcomes via operational intelligence to improve developer productivity and system reliability at scale.

Lead the engineering organization for WatchTower, delivering scalable internal platforms that improve reliability, developer productivity, operational intelligence, AI, and automation for 1,000+ engineers. Define strategy, architecture, roadmaps, recruit and develop teams, and partner across Marketplace to drive platform delivery and operational excellence.

Lead development and deployment of advanced pricing algorithms using ML, forecasting, optimization, and reinforcement learning. Provide strategic leadership, conduct code reviews, validate models, analyze large datasets, collaborate with cross-functional teams, and mentor data scientists to drive pricing strategy and revenue optimization.

Lead development and deployment of generative and conversational AI systems (LLMs and agentic workflows). Build end-to-end pipelines, perform modeling, evaluation, monitoring, and A/B testing. Collaborate cross-functionally, ensure data quality and governance, communicate insights, and mentor junior team members to drive product impact at scale.

Lead architecture, design, and maintenance of Marketplace platform services; spend majority time coding, reviewing and optimizing code; mentor engineers; collaborate with product and UX; ensure application health, observability, CI/CD, and scalable microservices; drive platform innovation and technical leadership.

Design, build, and deploy prescriptive ML and optimization models for pricing, including elasticity and causal analysis. Own end-to-end price recommendation lifecycle, run experimentation, implement RL and GNN solutions, ensure explainability and monitoring, collaborate with cross-functional teams, and mentor engineers.

Lead design and delivery of scalable, cloud-native platform capabilities and ML integrations. Drive full SDLC (design, coding, testing, CI/CD, deployment, monitoring), mentor engineers, influence architecture, and build resilient ML pipelines and AI-driven applications.

Design, develop, and lead highly scalable, high-performance backend Catalog services using Java and event-driven microservices. Provide architecture leadership, integrate downstream systems, implement reactive programming and Kafka-based pipelines, build ETL with Spark, orchestrate workflows with Airflow, work with SQL/NoSQL databases and caching, and ensure robust testing and on-time delivery across cross-functional teams.

Lead design and delivery of scalable, cloud-native platform capabilities, integrating AI/ML and automation. Drive full software lifecycle, conduct design reviews, mentor engineers, define APIs and prototypes, and collaborate with stakeholders to turn complex problems into production solutions.

Design, build, and maintain scalable data pipelines, ETL processes, and data architectures (lakes/warehouses). Ensure data quality, governance, and integration using SQL, Spark, Kafka, and cloud platforms; collaborate with cross-functional teams to support analytics and enterprise data strategy.