Top Tech Jobs & Startup Jobs in Indianapolis, IN

Supports the setup, coordination, and ongoing management of customer programs across global and enterprise accounts. Coordinates stakeholders, maintains program standards and playbooks, deploys processes and tools, manages engagement logistics, monitors metrics, compiles reports, supports compliance, resolves operational issues, and helps implement service improvements and new capabilities.

Own enterprise sales growth across Tennessee, Louisiana, and Arkansas by creating pipeline, managing complex new-logo and expansion opportunities, engaging C-suite stakeholders, and closing high-value cybersecurity deals. Build customer and channel-partner relationships, execute territory and account strategies, apply MEDDPICC, maintain accurate forecasts and CRM hygiene, and collaborate with pre-sales, customer success, marketing, and alliances teams. The role requires cybersecurity or identity-security sales expertise and travel throughout the territory.

Own a portfolio of organizations and scientific projects advancing AI resilience. Responsibilities include mapping AI-related bottlenecks, developing investment theses, sourcing and diligencing projects, recruiting founding teams, coaching founders, supporting fundraising and operations, serving on boards, and cultivating relationships with philanthropic and public funders. The role requires technical fluency in frontier AI, startup-building experience, fundraising, hiring, budgeting, roadmap development, governance familiarity, and a strong field network.

The Staff Software Engineer will architect scalable systems, improve development tooling, drive observability, mentor peers, and enhance technical quality across teams.

Leads medium- to large-scale analytics projects and client relationships while conducting data analysis, managing data infrastructure, building reports and calculators, and preparing client presentations. Provides strategic insights, oversees deadlines and quality, mentors analysts, collaborates with data science and technical teams, and communicates findings to technical and non-technical stakeholders.

Founding Forward Deployed Engineer who partners with enterprise customers to identify AI opportunities, design and deploy autonomous agents, and convert custom solutions into scalable platform capabilities. The role owns the full lifecycle from discovery and architecture through production deployment, monitoring, and optimization. It also establishes FDE processes, playbooks, team culture, technical roadmaps, and cross-functional operating practices.

Provides Level 2 technical support through phone, chat, and ticketing channels. Troubleshoots complex workstation, server, cloud-hosted virtual environment, email security, and access issues; documents resolutions; maintains knowledge base content; and escalates incidents appropriately. Mentors Level 1 technicians, supports customer satisfaction, contributes root-cause analysis, follows service delivery procedures, and completes required training and performance objectives.

Designs and delivers highly available, secure AWS and Azure cloud infrastructure for enterprise clients. Leads cloud architecture, implementation, Infrastructure as Code, DevOps automation, workload migrations, and containerized environments. Collaborates with clients to gather requirements, develop technical solutions, support presales, and provide architectural guidance. Leads implementation teams, mentors colleagues, researches emerging cloud services, and ensures cloud platforms meet application, security, and compliance needs.

Supports software sales through technical and functional demonstrations, RFP and security questionnaire responses, webinars, proof-of-concept tools, training, and solution architecture. The role requires deep knowledge of SaaS products, AI policies, hosting and security controls, and the ability to translate technical capabilities into customer value. It partners with Sales, Proposal Management, Product Management, Marketing, and Professional Services while contributing to sales enablement and product feedback. Business travel may reach 25–30% annually.

Design, build, and maintain high-traffic production LLM serving systems. Optimize throughput, latency, and cost for open-source language models by tuning inference engines and GPU execution stacks. Troubleshoot and improve inference performance, and collaborate to scale efficient, reliable inference infrastructure.