Top Remote Senior Level Jobs in Albuquerque, NM

In this role, you will design and implement secure data ingestion systems, transition to real-time integrations, and mentor engineers while working closely with cross-functional teams in a healthcare setting.

The Large Enterprise Account Executive drives revenue from high-value accounts, manages complex sales cycles, and engages with C-suite executives, leveraging technology and analytics to create business cases and increase sales.

As an Assistant Controller, you will manage financial reporting, guide ledger accuracy, oversee projects, and ensure regulatory compliance for nonprofit clients.

Lead and mentor in NetSuite development, designing, developing, and implementing custom solutions, collaborating with clients, and maintaining high coding standards.

The Senior Product Manager will drive product features through their lifecycle, establishing strategies, conducting research, collaborating across teams, and optimizing based on analysis to enhance customer experiences.

Lead the development and execution of Toast's Retail POS product strategy, collaborating with teams across engineering, design, and analytics to deliver exceptional products. Ensure alignment with market needs and define success metrics to drive measurable outcomes.

Manage a portfolio of automotive clients, develop relationships, recommend products, ensure software solutions meet client needs, and conduct training. Requires 80% travel.

The Product Owner will manage risk pricing delivery, ensuring alignment with business strategy, prioritizing the product backlog, and collaborating with technology and leadership to drive product success.

Lead a team of renewal managers, oversee renewals operations, collaborate with sales and customer success, and drive strategies for customer retention in the APAC region.

The Product Owner is responsible for defining product vision, prioritizing backlog, and ensuring development aligns with business objectives, particularly in CIAM/WIAM areas.

Lead the data engineering function by designing and maintaining data infrastructure, developing ETL/ELT pipelines, ensuring data quality, and collaborating with other teams on data integration for analytics and AI applications.