Top Tech Jobs & Startup Jobs

Analyze large customer, prospect, audience, and campaign datasets using Python and SQL. Own audience selection, campaign setup, validation, execution, reporting, and data quality processes. Build automated queries, scripts, dashboards, and reusable campaign operations frameworks. Partner with marketing stakeholders to translate objectives into audience strategies, investigate data issues, optimize campaign performance, and present actionable insights.

Lead global marketing strategy in partnership with the Head of Global Marketing. Own market narrative, messaging architecture, editorial governance, earned media, thought leadership, analyst relations, measurement, investment planning, enablement, events, and partner marketing alignment. Manage and scale a distributed team spanning communications, content, design, and enablement while driving consistent global execution and an AI-native marketing operating model.

Design, develop, optimize, and maintain scalable GCP data pipelines and ETL/ELT solutions using Python and SQL. Build data processing and transformation workflows, perform data modeling and validation, troubleshoot production issues, and implement data quality, security, and governance practices. Collaborate with business and technical teams, participate in code reviews, and contribute to technical architecture and design decisions.

Lead AI and data science projects, mentor a team, collaborate with stakeholders, ensure project quality, and deliver insights for decision-making.

Design, build, and maintain scalable AWS-based batch and streaming data pipelines (including CDC). Implement data models, ensure data quality and performance, deliver validation reports, and collaborate with cross-functional teams to productionize domain-oriented data solutions.

Lead the end-to-end delivery of Customer Data Platform projects, coordinate teams, manage vendor relations, and ensure compliance and governance.

Lead the Agentic Transformation practice at Blend360, managing client relationships and guiding Fortune 1000 companies through major technology transformations, focusing on executive engagement and strategic outcomes.

The Engineering Director oversees the engineering department, manages teams, aligns technical goals with business objectives, and ensures timely delivery of high-quality products.

Design, build, refactor, and maintain scalable, reusable data pipelines and models in Databricks. Optimize code repositories in GitHub, ensure data quality and performance, consolidate KPIs into standardized structures, and collaborate with analytics and engineering teams to support Journey Analytics and downstream reporting.

Build, maintain, and optimize scalable Databricks data pipelines and modular code components for Journey Analytics. Refactor legacy code, consolidate KPIs into standardized data models, ensure data quality and performance, and collaborate with analytics and engineering teams to support reporting and downstream use cases.