Top Tech Jobs & Startup Jobs

Lead data science services engagements, translating business objectives into analytical frameworks, managing client relationships, and building a high-performing team.

The Data Engineer will design and maintain data pipelines, support data workflows, optimize data platforms, and mentor team members to ensure high data quality and system resilience.

Lead the design, development, and maintenance of Salesforce solutions, focusing on Quote-to-Cash processes and AI integrations, while mentoring junior developers.

Manage and grow the activation fullstack team by setting context, resolving blockers, and ensuring quality outcomes. Guide engineering on coding, design, and architecture, while fostering a productive environment and maintaining team alignment with strategic goals.

The Sales Director is responsible for exceeding revenue targets, developing sales pipelines, managing complex sales cycles, and ensuring customer satisfaction within the financial services sector.

The role involves managing executive-level customer relationships, improving customer journeys, mentoring staff, ensuring product adoption, and leading contract negotiations.

As an Associate Customer Success Manager at LiveRamp, you will manage relationships with Brand and Agency partners, ensuring their success by implementing strategic plans, driving solution adoption, and addressing challenges to optimize customer satisfaction.

Lead GTM strategy and execution for Agencies, Data Sellers, Publishers, and Tech Platforms. Own solution messaging, sales plays, training, and marketing assets; partner with product, sales, and enablement to drive adoption, pipeline, and revenue. Produce thought leadership and content, track KPIs, and surface industry trends and product feedback.

Develop and maintain Apache Spark applications and RESTful APIs, deploy applications in cloud-native environments, and support production systems.

Lead design and implementation of a next-generation data ingestion platform, migrate complex use cases, provide production operational support, mentor engineers, and drive scaled cross-team initiatives for high-throughput data processing.