Top Tech Jobs & Startup Jobs in Indianapolis, IN

Lead the real world data strategy, oversee data delivery, partner across teams, ensure data quality and compliance, and drive value realization.

The role is responsible for driving new business and expansion in the population health AI sector, focusing on hospitals and large imaging providers, managing full-cycle sales, and building executive relationships to sell AI solutions.

NeuraFlash is seeking referrals for various roles in AI and Salesforce innovation. Candidates will help develop AI-powered solutions and improve customer experiences while enjoying a flexible work culture.

The Lead Product Manager develops and manages products for clinical users, focusing on Epic capabilities for Medicaid contracts and improvements, while collaborating with diverse teams to enhance services.

Design and build Generative AI applications, focusing on LLM solutions, while collaborating with cross-functional teams to translate business problems into AI solutions.

The Associate Actuary analyzes financial and economic data for strategic decisions, ensures data integrity, and supports business intelligence efforts.

The Recruiter will recruit top talent through various methods, manage search firms, train managers on recruiting, and assist with HR responsibilities.

As an Independent Sales Executive, you will generate leads through door-to-door sales, manage your schedule, achieve sales goals, and provide exceptional customer service. A commission-based role where your earnings can exceed $115k based on performance.

As a Staff Backend Engineer, you will lead backend initiatives for energy markets, operationalize ML models, and maintain scalable infrastructure.

As the On-Site Project Manager, you'll oversee furniture delivery and installation projects, coordinate teams, solve problems, and ensure client satisfaction throughout the process.

As a Workflow Solutions Specialist, you will architect and implement technical solutions across platforms, focusing on Zendesk and Salesforce, to optimize workflows and enhance operational efficiency.

Design and implement machine learning models to enhance user experiences, collaborate with teams, and contribute to scalable ML solutions.