Top Tech Jobs & Startup Jobs in Indianapolis, IN

Lead subscription and onboarding engineering efforts: be the internal Stripe expert, build API-driven real-time integrations, create systems to speed onboarding, implement A/B tests, partner cross-functionally to optimize first-30-day retention and user activation.

Keyholders at The Normal Brand lead teams to maximize sales, ensure a clean environment, and provide excellent customer service while supporting management.

The Lead Data Engineer will design and build scalable data pipelines on Databricks, develop ETL/ELT pipelines with PySpark, and mentor engineering teams for data transformation and analytics.

As a Program Specialist, you'll engage with schools to promote fundraising, teach character curriculum, and support students, teachers, and parents while ensuring excellent program delivery.

The Content Marketing Specialist will create and optimize strategic content, drive measurable outcomes, collaborate cross-functionally, and evaluate content performance to support marketing goals.

The Regional Sales Executive will drive adoption of the myKaarma Payments platform, owning the full sales cycle and ensuring customer success through relationship building and consultative selling.

The Sales Account Executive is responsible for developing new business in agribusiness sectors, engaging customers, and managing sales pipelines through outbound efforts and field-based selling.

The Business Development Representative (BDR) at Dot Compliance generates and qualifies leads through prospecting to support sales growth for SaaS solutions in the life sciences sector, collaborating closely with Account Executives and maintaining CRM accuracy.

As an Account Executive, you'll manage the sales lifecycle, engage prospects, close deals, onboard customers, and refine sales processes to ensure success and growth.

The Senior Data Analytics Engineer will own the data ecosystem, manage pipelines, support AI/ML initiatives, and translate business goals into technical requirements. They will also ensure data reliability and optimize performance across analytics platforms.