Top Tech Jobs & Startup Jobs in Indianapolis, IN

Build and own frontend surfaces for trading and DeFi products, designing scalable real-time UIs, improving UX, setting frontend standards, collaborating on SDKs/APIs, and contributing to tooling, testing, and CI/CD.

As a Senior Agentic AI Engineer, you'll develop core systems for AI agents, focusing on reliability, observability, and production readiness, working hands-on with distributed systems and orchestration.

Analyze proprietary and public data to create data-driven stories for media, design and execute surveys, drive proactive content strategy for insurance verticals, and own ideation through writing and stakeholder collaboration to build media authority.

As an AI Content Creator, you will film short video clips based on project briefs, create diverse content, manage your own schedule, and support AI technology development.

Manage and support a team of Care Advocates to drive customer acquisition, retention, and satisfaction. Collaborate cross-functionally to map customer journeys, identify process gaps, implement scalable systems, and continuously improve Customer Success operations.

The Engineering Manager will lead and grow engineering teams working on core infrastructure, drive hiring, and ensure alignment in delivery between teams across disciplines.

The role involves editing high-quality videos for social media and YouTube, focusing on both polished and raw content, storytelling, and brand consistency.

This position trains transitioning service members in talent acquisition through hands-on experience in candidate sourcing, engagement, and ATS management, alongside job posting and compliance tasks.

The role involves working on Indirect tax audits and providing consulting services. Responsibilities include tax analysis, research, and project management for clients in various industries.

Analyze large marketing datasets, build predictive models for segmentation, pricing, and demand forecasting, support targeted campaigns and retention, partner with product and marketing, apply statistical and ML methods, ensure data quality with engineering, and communicate insights to stakeholders to drive conversion and retention improvements.