Top Hybrid Jobs in Indianapolis, IN

As a Strategic Account Executive, you'll manage the full sales cycle for WRITER's AI platform, drive revenue, and engage with executive stakeholders. You'll prospect, qualify opportunities, and ensure smooth deployments while collaborating with various teams.

The Analyst - Accounts Receivable will generate, review, and issue customer invoices, maintain billing records, resolve discrepancies, and prepare reports related to billing.

The role involves configuring, supporting, and optimizing the Manhattan Active TM system to enhance transportation operations. Responsibilities include translating business needs, troubleshooting, maintaining system performance, and ensuring documentation accuracy.

The role involves leading strategic initiatives, collaborating across teams, managing projects, and driving innovation to support company growth.

Develop and research DeFi protocols, design smart contracts, maintain security standards, and contribute to the development of financial infrastructure.

The Systems Administrator will support clients by managing data security, internal systems, and providing exceptional client support. Responsibilities include troubleshooting technical issues, implementing remote access systems, and maintaining client documentation.

Lead design efforts for gas distribution and transmission systems, meter/gate stations, and pipelines. Mentor junior engineers, coordinate design teams, ensure technical accuracy and compliance, review drawings, support quality control and business development, and drive process improvements to deliver safe, efficient projects.

As a Territory Account Executive, you will prospect and close new healthcare facility partners, manage existing customer relationships, and build Clipboard's presence in your local market through field sales and in-person meetings.

The Consulting Actuary manages multiple projects, providing expertise in individual life insurance, pricing, modeling, and client relationships while mentoring junior staff.

Design, develop, and scale MLOps infrastructure and automation to improve ML application development and deployment, ensuring performance and security compliance.