Top Tech Jobs & Startup Jobs in Austin, TX

Designs, builds, and deploys production-grade data engineering, analytics, GenAI, and agentic AI solutions for enterprise clients on Databricks. Responsibilities include Lakehouse architecture, data pipeline development, AI/ML workflows, RAG and natural-language analytics solutions, cloud migration, legacy BI modernization, performance optimization, technical workshops, consultative discovery, and cross-functional leadership with clients and Databricks teams.

Supports private equity deal teams by building executive relationships, guiding primary research, analyzing industries and competitive landscapes, synthesizing diligence into investment insights, managing deal timelines, and preparing presentations and memoranda. The Associate also leads firm-wide initiatives to improve team effectiveness and work processes.

Leads client-facing technology and infrastructure projects from handoff through closeout. Responsibilities include planning, scheduling, milestone and dependency management, stakeholder coordination, status reporting, risk and scope management, resource tracking, client communication, approvals, documentation, and project delivery improvements. The role manages multiple concurrent engagements across technical teams while maintaining alignment with scope, budgeted hours, timelines, and client expectations.

Lead technical demonstrations, proof-of-concept engagements, solution design, and implementation planning for enterprise AI customer-support solutions. Partner with sales and senior customer stakeholders to discover requirements, scope tailored solutions, communicate ROI, and support deal progression. Build AI-assisted demo applications, explain code and technical architecture, and relay customer feedback to product teams.

Own the maintenance, security hardening, multi-tenant provisioning, deployment, and operation of an AWS-hosted AI SaaS platform. The role will also help commercialize the product through packaging, positioning, and go-to-market efforts. Applicants should have independently shipped and operated a real SaaS product and be comfortable working as the sole or near-sole engineer. Compensation is currently revenue share, equity, or another negotiated arrangement without guaranteed cash pay.

Own full-cycle technical recruiting for engineering roles, including intake, sourcing, interviewing, offer negotiation, and closing. Partner with engineering leaders to define requirements, build diverse talent pipelines, and manage multiple searches in a fast-paced environment. Use talent mapping, market research, recruiting metrics, and ATS data to improve hiring outcomes. Maintain candidate records in Greenhouse, collaborate with compensation and People teams, and enhance recruiting processes as the organization scales.

Maintain IT infrastructure and provide first-level support for users, MES, and manufacturing systems. Manage devices, accounts, software, networks, backups, security, IT assets, onboarding, and vendors. Troubleshoot MES issues, review data flows, document procedures, and coordinate system improvements, testing, and fixes with Korean headquarters IT and development teams. Support database-related tasks and communicate technical issues to production, quality, engineering, and management teams.

Manages compliant financial and operational processes, including accounting controls, budgeting, cash and credit management, month-end and year-end close, accounts payable and receivable, tax forms, audits, mortgage loan payments, and delinquency communications. Provides administrative coverage, supports insurance operations, generates business leads, markets products, coordinates events, and assists sales communications and customer outreach.

Leads global digital commerce, web, mobile, and e-commerce technology initiatives within Corporate IT. Oversees digital architecture, platform development, analytics, integrations, application delivery, governance, project execution, vendors, and international resources. Partners with Sales, Marketing, Product Management, and regional teams to improve customer experience, revenue processes, and operational efficiency. Champions generative AI, intelligent automation, and agentic AI adoption while ensuring security, scalability, compliance, and responsible governance.

Develop, modernize, test, troubleshoot, and support mission-critical enterprise loan-processing applications using ColdFusion, BoxLang, JavaScript, and Oracle databases. Translate business and technical requirements into secure, maintainable solutions; integrate new functionality with legacy systems; support releases, production operations, and system conversions; and collaborate with stakeholders and technical teams in an Agile environment. Contribute to application and database design, documentation, continuous improvement, and modernization initiatives.