Top Tech Jobs & Startup Jobs

The Client Account Partner will manage and grow client relationships within the existing portfolio, drive account strategy, achieve business growth through new opportunities, negotiate pricing, ensure client satisfaction, and align the right talent to client needs.

As a Lead Data Scientist at Blend, you will drive high standards in data analysis, utilize machine learning to provide actionable insights, manage projects and teams, and present findings to clients. You'll be instrumental in designing data science solutions and contributing to business development efforts.

As a Software Developer at Blend, you will collaborate with engineers to enhance solutions that increase operational efficiency. Your tasks will include working on system functionalities, resolving technical issues, assisting in specific technical situations, and progressively taking on responsibilities under mentorship.

The Salesforce Marketing Cloud Campaign Developer will oversee the development and execution of marketing campaigns, prepare data, monitor campaign performance, generate reports, and collaborate with marketing teams to optimize email strategies. Skills in A/B testing and HTML are essential for creating email templates and enhancing customer engagement.

The Data Engineer at Blend will design, develop, and maintain data solutions that support actionable insights for stakeholders. This role includes preparing presentations, organizing raw data, managing data ingestion and transformation, owning projects, and mentoring junior team members while adhering to high delivery standards and innovation in data engineering.

As a Senior Data Engineer at Blend, you'll lead project delivery, mentor junior engineers, and design data solutions for actionable insights. You'll manage the ingestion, transformation, and storage of data, while collaborating with teams to deliver high standards and innovative data engineering solutions.

The Senior Data Science Consultant at Blend is responsible for solving complex problems using data analytics and machine learning. The role involves presenting findings to stakeholders, managing analyst teams, and mentoring junior staff. Candidates should have experience with various analytical tools, predictive modeling, and be comfortable working with messy data to uncover actionable insights.