Top Tech Jobs & Startup Jobs in Indianapolis, IN

The Jr. Technical Solutions Consultant provides Sprinklr admin configuration services, optimizing the platform for client needs, resolving issues, and documenting configurations.

Drive new business and expansions in the Media & Entertainment vertical. Manage enterprise accounts, qualify opportunities, run demos, negotiate contracts, coordinate with Customer Success and cross-functional teams, and meet monthly/quarterly quotas while maintaining accurate CRM records and participating in industry events.

The Account Manager oversees affiliate and restaurant relationships, focusing on maximizing platform utilization, ensuring satisfaction, and driving growth through strong communication and relationship management. Responsibilities include performance monitoring, problem solving, and cross-functional collaboration.

As a Senior Solutions Consultant, you will drive complex SaaS deals, collaborate across teams, lead technical discovery, and mentor peers while focusing on customer success and integration solutions.

The Strategic Account Executive will drive enterprise sales, manage a dynamic sales pipeline, engage with C-level executives, and negotiate multi-year contracts in the Insurance and Wealth sector.

Own and resolve complex medical billing and insurance cases end-to-end after AI handoff. Contact providers, insurers, and collections; investigate claims and benefits; advocate for users; maintain clear documentation; communicate progress; and improve playbooks while partnering with Product and Engineering.

Lead Brigit's product organization across product management, design, and research. Own product vision, roadmaps, and outcomes (acquisition, conversion, engagement, monetization). Build and scale cross-functional teams, drive data-informed experimentation, and partner with engineering, data, and marketing to optimize product velocity and business metrics in a regulated consumer fintech environment.

Lead design and scaling of the data platform and analytics pipelines. Build and maintain ETL/ELT workflows, integrations, serverless data services, and reliable data models. Mentor teammates, improve automation, observability, and data governance to support analytics and operational insights.

Design, build, and own scalable data pipelines and evaluation systems that power production AI features and internal analytics. Ensure data quality across ingestion, modeling, and reporting, collaborate with ML and analytics teams, deploy and monitor ML systems, and establish standards for data work and evaluation.

Lead product strategy and execution: discover customer needs, define requirements and prototypes, prioritize roadmaps, work with engineering to deliver features, drive launches and go-to-market, and evangelize products while soliciting customer feedback to improve experience and growth.