Top Tech Jobs & Startup Jobs in Indianapolis, IN

Leads Fleetio’s global brand strategy and expression across visual identity, content, thought leadership, social, video, PR, sponsorships, and experiential activation. Manages the in-house brand and content team, agency partners, creative operations, and brand standards. Drives narrative evolution, awareness, share of voice, content performance, executive visibility, and activation of Fleetio’s NASCAR partnership.

Builds and maintains scalable data pipelines and cloud infrastructure supporting an AI biomedical research platform. Responsibilities include ingesting, harmonizing, validating, and documenting multimodal neurodegeneration datasets; managing cloud storage, compute, permissions, and costs; implementing de-identification and data governance workflows; supporting research data repositories and AI/ML teams; and maintaining data lineage, catalogs, and technical documentation. The role requires strong Python and SQL skills, software engineering discipline, cloud experience, and neurodegeneration research data expertise.

Find and post compelling deals across consumer categories, collaborate with partners and internal teams, analyze deal performance, review partner spreadsheets, and provide feedback to improve shopping content. The role requires strong writing, communication, attention to detail, technical adaptability, basic Excel skills, category expertise, responsiveness, and willingness to work permanent evening or weekend shifts.

Leads the design, development, administration, and optimization of professional education and learning solutions. Manages LMS content, certifications, enrollments, reporting, approvals, user access, troubleshooting, and system enhancements. Develops multimodal training materials, partners with subject matter experts and cross-functional teams, analyzes learner data, coordinates vendors, and ensures training aligns with business, compliance, product, and learner needs. Travel may be required up to 20%.

Leads Harvey’s public-sector go-to-market strategy across federal, state, and local government legal organizations. Recruits and manages Enterprise Account Executives, owns quota, pipeline, forecasting, and strategic accounts, and builds a repeatable government sales motion. Develops procurement and security-review playbooks, partners on FedRAMP and StateRAMP/GovRAMP positioning, advances agency authorizations and contracts, and represents Harvey in the government legal and gov-tech communities.

Own key parts of Redfin’s conversion funnel and drive customer growth across real estate and mortgage businesses. Develop product vision, strategy, roadmaps, requirements, and designs; lead high-velocity A/B experimentation; analyze data to improve conversion rates; and align engineers, designers, marketers, analysts, stakeholders, and executives. Influence technical direction, manage ambiguity, communicate outcomes, and improve product management practices.

Coach, mentor, and train early-career software engineers; run daily labs; guide project requirements and implementation; support recruiting via technical interviews; assist Engineering Manager with planning, execution, and performance oversight; maintain and evolve training materials and course integration; capture feedback and escalate performance issues.

Design, optimize, and operate large-scale data pipelines focused on performance and scalability. Support ML workflows including feature extraction, model training, and real-time inference. Build solutions using Python, SQL, AWS data services and Apache Spark, and train/deploy models with SageMaker, TensorFlow, or PyTorch in a fast-paced remote environment.

Build and maintain internal and customer-facing web/cloud apps and AI automations. Integrate with third-party APIs (QuickBooks, Microsoft Graph, Zoho, Zoom), implement generative-AI features, ensure security, deploy to cloud, and collaborate with leadership and IT. Work independently on design, testing, and maintenance across varied projects.

Provide hands-on legal engineering support for AI-driven legal workflows: troubleshoot self-serve customers, create documentation, track adoption/ROI, escalate technical issues, and enable scalable AI adoption for legal teams.