Blend360
Blend360 Benefits Overview
Compensation + Benefits
Offers 401(K)
Offers life insurance
Offers dental insurance
Offers health insurance
Offers mental health benefits
Offers Flexible Spending Account (FSA)
Offers vision insurance
Offers Health Savings Account (HSA)
Provides family medical leave
Offers generous parental leave
Offers performance bonuses
Company Culture
Provides commuter benefits
Utilizes a flexible work schedule
Offers a remote work program
Work-Life Balance + Wellbeing
Offers company-sponsored outings
Offers gym membership
Offers generous PTO
Provides paid holidays
Provides bereavement leave
Offers unpaid extended leave
Offers paid volunteer time
Provides paid sick days
Provides military leave
Recently posted jobs
Database • Analytics
Manage end-to-end implementation of consumer credit card programs within an issuer environment. Build execution roadmaps, coordinate cross-functional stakeholders, track dependencies and risks, support change management, and coordinate vendors and partners. The role drives alignment across credit, marketing, operations, technology, analytics, compliance, and risk teams while ensuring deliverables, decisions, and timelines remain on track.
Database • Analytics
Manage end-to-end marketing campaign and creative project delivery across planning, briefing, development, approvals, and execution. Coordinate internal teams, agencies, stakeholders, analytics, compliance, and risk partners in a regulated financial services environment. Maintain timelines, dependencies, documentation, quality assurance, and stakeholder alignment across concurrent campaigns. Review performance dashboards and translate customer and campaign insights into actionable recommendations. Improve campaign workflows while ensuring brand, regulatory, and approval requirements are met.
Database • Analytics
Build, maintain, and optimize scalable data pipelines, reusable code components, and data models for Journey Analytics. Refactor legacy GitHub code, develop Databricks ETL pipelines, standardize KPIs and metrics, and ensure data quality, performance, and reliability. Collaborate with analytics and engineering teams on data architecture and continuous improvement.
