Top Tech Jobs & Startup Jobs in Austin, TX

Supports Oracle Fusion and PJM manufacturing systems through configuration, troubleshooting, testing, quarterly releases, user access, integrations, and workflow resolution. Gathers business requirements, designs process improvements, creates use cases and test scenarios, facilitates defect tracking, trains business users, and serves as a liaison between business units and IT. The role also manages plant assessments and provides Level 1 and 2 support. Travel within the United States may reach 25%.

Provides outsourced accounting services to nonprofit clients, including accounts payable, accounts receivable, payroll, reconciliations, monthly financial reporting, grant tracking, cash-flow monitoring, and audit preparation. The role requires regular client interaction with nonprofit staff, boards, and finance committees, and may involve both virtual and on-site work. It offers hybrid flexibility and potential advancement to a Controller-level position.

Deploy and support enterprise security products in customer environments. Troubleshoot issues using logs, HAR files, and configurations; document root causes; escalate effectively to engineering; support customer onboarding; maintain technical documentation; improve deployment processes; and share field insights with product, Customer Success, Solutions Architecture, and QA teams.

Build and own healthcare product surfaces end to end, from user discovery and interface design through API development, deployment, measurement, and migration from Salesforce or Athena. Work across React/TypeScript and Python/FastAPI on AWS, apply AI agents and LLM features, collaborate directly with clinicians and coordinators, and ensure rigorous handling of PHI, access control, and HIPAA-sensitive workflows.

Leads technical execution of a federal IAM modernization project, overseeing migration from legacy AIMS and PAS systems to a cloud-based solution. Manages Agile delivery, schedules, deliverables, backlogs, user stories, sprint scope, release management, environment support, stakeholder coordination, and operational planning while ensuring quality and Definition of Done compliance.

Leads enterprise compliance and certification projects across data center operations. Owns schedules, evidence collection, audit coordination, stakeholder alignment, risk and issue tracking, remediation, executive reporting, and recertification activities. Partners with auditors and internal teams to maintain audit readiness while protecting uptime, change-control discipline, and physical and cybersecurity requirements in live 24x7 environments.

Own product and protocol security across Jito’s Solana-based products. Responsibilities include threat modeling, secure design and code reviews, deployment hardening, internal audits, onchain monitoring, bug bounty operations, remediation tracking, AI-assisted security testing, and key and asset risk management. The role requires production software engineering experience, strong application security expertise, security automation skills, and familiarity with Web3, crypto, or DeFi.

Own technical support for enterprise SaaS customers by triaging and resolving complex issues, especially SSO and SCIM problems. Investigate logs, APIs, and browser tools; communicate status to Customer Success and Engineering; and manage escalations through resolution. Build runbooks, decision trees, and automation using AI tools to improve support scalability and enable self-service. Participate in customer troubleshooting calls and continuously improve support processes.

Leads and builds Grace Hill’s Account Management function, owning enterprise retention, renewals, and expansion. Partners with Sales to establish playbooks, forecasting, pricing, multiyear contracts, and account health processes. Serves as executive relationship owner for strategic customers, recruits and develops the team, and drives cross-functional collaboration across Sales, RevOps, Solutions Engineering, and Customer Success. Applies AI to improve account planning, forecasting, customer insights, and workflow efficiency.

Researches, develops, tests, and maintains materials-aware machine learning models and software. Designs scalable ML systems, improves model interpretability and uncertainty quantification, and develops inverse-design capabilities. Collaborates with product, engineering, and external research teams to deliver customer-focused AI solutions, publishes research, reviews code, analyzes model performance, and mentors developers.