Top Tech Jobs & Startup Jobs in Indianapolis, IN

The Senior Supplier Manager will manage supplier relationships to enhance the Internet and Cloud services portfolio, focusing on operational and commercial quality, supplier needs, and customer experience.

Manage and optimize commerce media campaigns (especially Amazon Search/DSP), drive client relationships and KPIs, integrate Tinuiti technology, analyze performance data to recommend improvements, maintain platform certifications, and identify growth opportunities across commerce channels.

Provide technical leadership and hands-on support for SCADA, controls, and OT systems across utility-scale BESS and solar sites. Lead incident response, troubleshooting, root-cause analysis, telemetry quality, monitoring/alerting, documentation, vendor coordination, and standardization across the fleet while mentoring junior engineers.

The Business Development Representative will identify, qualify, and nurture leads for Account Executives, utilizing both inbound and outbound strategies to drive sales pipeline and revenue growth.

Design and prototype interactive features for a next-generation code editor, build keyboard-driven workflows and AI-agent interactions, implement UI in the product, and collaborate closely with engineers on performance-focused developer tools.

Lead full partnership lifecycle to identify, qualify, close, and expand college and university partnerships. Drive revenue, manage pipeline and CRM forecasting, present to senior higher-ed leaders, collaborate cross-functionally, monitor market trends, and represent EdVisorly at events. Travel up to 40%.

Lead product strategy for platform infrastructure, developer enablement, and customer-facing surfaces. Grow and mentor senior PMs, set transparent prioritization, partner with engineering and design, and translate technical complexity into business-ready narratives that secure funding and drive customer outcomes.

Lead a remote team of client-facing accountants providing full-cycle outsourced accounting services. Oversee onboarding, quality control, technology implementation, hiring/training, performance management, client relationships, budgets, and confidentiality.

Own and improve the dbt modeling and semantic layers, implement CI/CD, tests, observability, and governance; build governed metrics for BI and AI consumption; partner with Data Engineering and Risk to stabilize pipelines and improve data quality and documentation.

Design, build, and deploy production-grade AI/ML and LLM-based systems. Lead end-to-end ML lifecycle, implement RAG and embedding pipelines, establish MLOps best practices, mentor engineers, and collaborate with cross-functional teams to deliver scalable, responsible AI solutions.