Top Remote Senior Level Jobs in Indianapolis, IN

Drive strategic insights and operational efficiency in the Commercial organization by developing strategies, analyzing data, and leading initiatives to enhance market effectiveness.

The Senior Mobile QA Engineer will perform black-box testing for mobile and web applications, create test plans, and improve QA processes, collaborating with various teams to deliver quality software.

The Senior Software Engineer will enhance AI-based products, collaborate on data pipelines and ETL tasks, and establish data architecture best practices.

The Senior Software Engineer will enhance Doximity's data platforms, collaborating with data teams to resolve challenges, and implement solutions to improve the data stack.

The Senior Product Manager for Retention will own strategy and execution for the member experience, leading lifecycle features and collaborating with cross-functional teams.

As a Senior Product Manager II, you'll lead initiatives to improve user activation and retention through data-driven experimentation and cross-functional collaboration.

The Senior Data Scientist will lead data science initiatives, collaborate with various teams, and drive business outcomes through data analysis and modeling.

As a Senior Machine Learning Engineer, you will develop machine learning models, automate data pipelines, and collaborate with teams to meet customer needs.

The Senior Implementation Manager is responsible for leading complex healthcare data integration projects, managing implementations from planning to go live, ensuring client satisfaction and project success.

As a Senior Financial Analyst, you'll enhance business performance through financial analysis, model building, and supporting decision-making across teams, while collaborating with leaders for strategic planning.

The VP of Revenue Marketing will drive the company's global commercial strategies, focusing on demand generation and pipeline growth while managing marketing functions across regions.

This role involves driving adoption of the Industrial Connected Workforce product, collaborating with account teams, and supporting digital transformation for industrial enterprises.

Lead development of advanced recommendation systems, driving ML innovation, maintaining ML pipelines, and collaborating across teams to enhance user engagement.