Top Tech Jobs & Startup Jobs in Austin, TX

Leads commercial growth for five strategic partners, building joint business plans, co-selling programs, executive governance, partner enablement, and opportunity management. Owns partner-sourced pipeline and bookings targets, forecasts performance, coordinates cross-functional teams, and advances complex healthcare technology opportunities through contract execution. The role requires strong healthcare technology, enterprise sales, alliance management, negotiation, and executive relationship skills.

Own the technical win for complex enterprise SaaS deals from discovery through close. Lead technical discovery, solution architecture, tailored demos, proof-of-concept builds, AI agent integrations, and RFP/RFI responses. Architect integrations using APIs and MCP, explain AI concepts and business value to executive audiences, support competitive positioning, and relay customer feedback to Product and Engineering. Represent the company through webinars, conferences, and technical content.

Drive enterprise and mid-market revenue for JOOR’s SaaS platform by prospecting, researching target accounts, managing leads, conducting discovery, presenting value propositions, forecasting, and closing deals. The Account Executive owns the full sales cycle, manages a $500,000–$650,000 book of business, builds relationships with decision-makers, collaborates with Pre-Sales and Customer Success, and supports customer solution scoping.

Leads AI-driven customer success strategy, scaling onboarding, engagement, health checks, retention, adoption, and expansion through automation and digital journeys. Owns predictive churn modeling, AI-generated campaigns, in-app orchestration, customer segmentation, KPI dashboards, and cross-functional implementation. Drives organizational change, stakeholder enablement, and continuous improvement while building the foundation for a future customer success leadership team.

Lead high-profile corporate events, brand activations, and large-scale productions from concept through execution. Responsibilities include creative direction, budgeting, team leadership, client advising, vendor negotiation, show-day command, and crisis management. Manage cross-functional creative, technical, logistics, and production teams while overseeing complex budgets and delivering live, hybrid, and virtual experiences domestically and internationally.

Manage and grow healthcare and PBM client relationships, lead account strategies and renewals, negotiate contracts, identify upsell opportunities, resolve escalated issues, support RFPs and onboarding, and collaborate with internal teams to improve client outcomes and business growth.

Lead development of CoLab's simulation review capabilities: ingest and process industry-standard simulation data, build high-performance visualization for large datasets, collaborate with Product and customers, and define architecture and UX for a new Simulation product area.

Maintain and enhance existing public-facing geospatial applications for the USGS National Map. Develop with JavaScript, troubleshoot and improve code, and support scalable AWS-based data workflows using the AWS SDK, CLI, Lambda, S3, and EC2. Apply software engineering fundamentals, testing, debugging, version control, and analytical problem-solving while collaborating in a technical environment. Python, front-end frameworks, Node.js, REST APIs, additional cloud platforms, and Esri technologies are preferred.

Develop and maintain public-facing National Map applications for USGS. Responsibilities include improving existing functionality, troubleshooting, JavaScript development, AWS cloud workflow automation, testing, debugging, and scalability improvements. The role requires collaboration, analytical problem-solving, software engineering fundamentals, and experience with AWS SDK, CLI, Lambda, S3, and EC2. Preferred experience includes Python, modern front-end frameworks, Node.js, REST APIs, additional cloud platforms, and Esri technologies.

Lead data science measurement initiatives for media and advertising. Design experiments and causal models to measure incrementality, build marketing mix models, and productionize scalable data pipelines. Develop and deploy models using Python, R, SQL, and cloud platforms while ensuring data quality and privacy compliance. Deliver dashboards, automated reporting, and executive-ready insights, communicate findings to stakeholders, and mentor junior data scientists.