Top Tech Jobs & Startup Jobs in Indianapolis, IN

The Director of Scientific Affairs collaborates with commercial teams to identify revenue opportunities, working with key opinion leaders, and promoting MSD products at conferences while ensuring customer needs are met in drug development.

Responsible for designing, developing, testing, and supporting software products. Involves leading sprints, managing databases, and ensuring code quality.

The Director of Scientific Affairs will collaborate with the sales team, engage with key opinion leaders, and promote biomarker capabilities while overseeing successful drug development initiatives.

The Managing Director leads bankruptcy and restructuring efforts, develops recovery strategies, partners with investment teams, and manages external advisers to protect investments and mitigate risks.

As Director of AI/ML, lead the ML organization, set technical vision, mentor a high-performing team, and contribute to model development and production deployment.

The Pricing Associate will leverage sports card knowledge to develop valuation strategies, support pricing methodologies, and assist cross-functional teams at Alt.

Manage financial forecasting, capital modeling, and audits while ensuring compliance and strategic growth within the fintech sector. Partner with C-suite executives to maximize valuation.

The Enterprise Account Executive is responsible for driving customer growth, managing complex sales cycles, and developing strategic relationships with enterprise clients in the SaaS/event technology industry.

The Regional Market Director oversees market strategy and performance in a geographic region, collaborating with executives, analyzing market trends, and ensuring profitable growth across insurance products.

The Senior Manager, Revenue Enablement will empower the GTM team by onboarding, facilitating training, and optimizing revenue processes while collaborating across departments.

As an AI Enterprise Architect, you will translate business needs into AI solution architectures, define reference architectures, and guide AI initiatives from discovery to deployment, ensuring compliance and risk management across solutions.

Build and maintain MLOps pipelines, deploy and monitor ML models as scalable services, transform and integrate healthcare data (FHIR/HL7), ensure reproducible feature management, and uphold HIPAA/HITRUST security for production ML in clinical systems.

The Machine Learning Engineer will design, build, and maintain scalable ML systems, optimize ML pipelines, implement MLOps, and collaborate with teams to deploy models into real-time products.

The role involves driving revenue via TSD channel partnerships, building relationships, and supporting sales operations while traveling extensively within the region.