Top Tech Jobs & Startup Jobs

Embed with client engineering teams to operationalize LLMs and retrieval systems across multi-cloud environments. Build agentic solutions using Vertex AI Agent Builder and ADK, connect agents securely to BigQuery/Spanner via MCP, implement streaming pipelines (Dataflow) for real-time inference, and manage model training, tuning, deployment, and evaluation on Vertex AI. Provide consultative guidance, cross-functional collaboration, and clear stakeholder communication to ensure business value from Generative AI solutions.

Lead client relationships, delivery, and account growth for analytics engagements. Define analytics roadmaps, scale pilots to long-term programs, present to executives, collaborate with sales, and manage teams solving CPG, Retail, and financial services problems using data science and ML.

Partner with senior leaders to drive workforce planning, talent and performance management, PIP governance, HR analytics, employee relations, retention and succession planning, policy and compliance, and culture and change initiatives supporting North America-based employees.

Lead design and implementation of a Databricks-driven data ecosystem, including lakehouse/EDW, IoT and streaming ingestion pipelines, ILM, global data governance, and dataset creation for advanced analytics.

Lead enterprise-scale Data & Analytics architecture and cloud modernization initiatives using AWS and Databricks. Assess legacy ecosystems, design target-state lakehouse and data warehouse solutions, define migration roadmaps, drive architecture governance, advise CXO stakeholders, and mentor delivery teams while ensuring security, scalability, and data governance.

Develop and optimize assortment strategies using statistical forecasting and data analysis. Analyze product, inventory, and financial metrics, partner with stakeholders, produce data-driven recommendations, monitor performance, and support demand planning initiatives.

Design, build, and support Salesforce Marketing Cloud architectures and complex customer journeys. Develop API integrations (REST/SOAP), build data pipelines connecting SFMC with D360, CDPs, and CMS, monitor performance, troubleshoot integrations, and ensure scalable, secure marketing automation solutions.

Design and implement high-performance APIs and microservices using Python and AWS, focusing on generative AI and scalable applications.

The Data Product Manager will lead the development of enterprise data products by translating business needs into scalable data solutions, managing analytics projects, and coordinating with global teams to ensure efficient delivery and optimization of data initiatives.

The Senior Data Scientist will leverage advanced analytics, machine learning, and AI to develop analytics engines and collaborate with teams to enhance business value and communication of results.