Top Tech Jobs & Startup Jobs in Indianapolis, IN

Record financial transactions, reconcile bank and credit card accounts, process payroll, maintain ledgers, prepare financial reports, monitor inventory reconciliations, and assist with budgeting and forecasting.

Lead GTM and revenue operations initiatives: own sales toolstack, optimize lead routing and AE/BDR workflows, design AI-native automation, run hypothesis-driven tests, and operationalize trusted data across Sales and Marketing.

Review, label, and QA datasets for AI/ML training; maintain trackers, databases, and dashboards; follow annotation guidelines and SOPs; prepare and clean data; document processes; collaborate to resolve data queries while ensuring confidentiality and timely delivery.

Happiness Engineers at Automattic provide customer support through email and live chat, advocate for customers, and help improve the customer experience. They are self-starters with customer service experience and WordPress knowledge, contributing to operational efficiencies and new initiatives.

Provide dedicated remote IT support managing high ticket volumes and SLAs; troubleshoot Mac and Windows systems; provision devices and accounts; support onboarding/offboarding; assist with MDM, network, and hardware rollouts; maintain documentation and compliance (SOC2/HIPAA); configure automations; and mentor junior staff.

Serve as a technical advisor for enterprise Databricks deployments: design and deploy secure, scalable cloud platform architectures, support pre-sales PoCs, provide domain expertise in cloud, networking, identity, IaC and platform administration, and contribute to community enablement and training.

Lead a regional team of Lakebase Sales Specialists to grow Databricks Lakebase revenue by executing specialized sales motions, coaching specialists, building pipeline, engaging CIO/CTO and platform engineering buyers, running architecture workshops, partnering with account teams and partners, and providing field feedback to Product and GTM to scale adoption and drive application modernization.

Drive Lakebase adoption and revenue by qualifying opportunities, running multi-threaded sales cycles and POCs, engaging technical and executive stakeholders, partnering with AEs and solution architects, enabling field teams, and shaping territory plans to standardize Postgres and operational databases for AI-native applications.

Lead and scale Roo's revenue organization across both sides of the veterinary marketplace. Build GTM strategy, territory coverage, hiring and coaching processes, forecasting and QA loops, CRM/tooling architecture, cross-functional alignment, and performance-driven enablement to drive activation, retention, and revenue growth.

Own and evolve Roos frontend platform and design system, building tooling, developer workflows, and AI-assisted integrations. Lead migrations, framework upgrades (React Native/Expo), improve developer experience, and partner with Product and Design to enable faster, consistent web and mobile product delivery.

Lead Roo's brand and integrated marketing team to define brand strategy, creative direction, and integrated campaigns across content, social, community, PR, events, web, and paid channels. Manage and grow a brand team, guide external partners, use data and audience insights to measure and iterate, develop thought leadership and storytelling, and create scalable systems and brand programs that strengthen engagement with veterinary professionals and hospitals.

Own technical success for strategic accounts building AI and agentic platforms on Solo.io products. Provide architecture guidance, hands-on troubleshooting, adoption driving, workshops, and cross-team advocacy to ensure reliable, secure production deployments of cloud-native AI workloads.

Provide administrative and account support to clients, brokers, and sales teams: qualify and quote prospects, onboard new clients, handle renewals and changes, maintain sales automation records, coordinate with internal partners, prepare enrollment collateral and presentations, troubleshoot issues, and ensure client satisfaction and retention.

Provide escalated customer support via phone and written channels, resolve complex inquiries across lines of business, document trends, coach others, update knowledge resources, and use multiple systems and hardware to troubleshoot and process orders/payments.

Plan and execute marketing, sales, and customer events end-to-end: logistics, vendor procurement, budgets, on-site support, attendee tracking, and post-event evaluations to improve future events.

The Machine Learning Engineer will build data-intensive products, deploy ML models, analyze datasets, and collaborate with product teams to enhance Nextdoor's platform.