Top Tech Jobs & Startup Jobs in Austin, TX

Lead architecture and engineering for a new Provider Onboarding team. Build scalable, database-backed systems and custom tools supporting pricing, payments, client panels, and forms. Establish engineering practices, mentor senior engineers, guide cross-functional delivery, and oversee the full software development lifecycle from planning through post-launch maintenance. The role requires healthcare systems experience and ownership of complex, reliable products.

Lead architecture and development for a new Provider Onboarding engineering domain. Build scalable full-stack, database-backed applications and microservices supporting pricing, payments, client panels, forms, and provider workflows. Mentor engineers, establish design patterns, drive cross-functional delivery across the full software lifecycle, and improve operational reliability for a healthcare platform.

The Director of Procurement leads company-wide procurement, strategic sourcing, vendor contract negotiation, spend analysis, budgeting, procurement platform optimization, and renewal tracking. The role partners with Legal, Privacy, AI, Security, and Finance to establish compliant, efficient purchasing processes, improve automation and intake workflows, mitigate vendor risk, and align procurement decisions with financial and organizational goals.

Lead the expansion of in-person behavioral healthcare, with an initial focus on scaling psychiatry services and building office safety and suitability programs. Develop provider acquisition channels, value propositions, demand-generation strategies, and regulatory compliance processes. Own cross-functional strategic initiatives, analyze operational data, build financial models, communicate recommendations to executives, and support evolving company priorities.

Staff Software Engineer responsible for designing scalable distributed systems and full-stack web applications supporting provider acquisition, onboarding, and marketplace supply growth. The role leads cross-team technical initiatives, shapes engineering strategy, mentors developers, and delivers provider-facing products from discovery through post-launch support. Experience with AI-assisted development workflows and technologies such as Node.js, React, TypeScript, Kafka, AWS, Docker, and Kubernetes is valued.

Leads and develops a distributed field sales team serving outpatient medical practices across the Western United States. The role drives provider referral partnerships, coaches representatives in clinical sales settings, ensures practice activation after agreement, manages field activity and revenue metrics, and supports behavior change connecting primary care patients with mental health services. Approximately 50% travel is required within the territory.

Design and evolve scalable referral, partner data, and patient booking systems. Lead complex technical projects across teams, make architecture and API decisions, improve security, performance, reliability, and scalability, and mentor engineers. Collaborate with product, design, engineering leadership, partners, and stakeholders while using AI-assisted development tools such as Claude Code to improve delivery velocity and quality.

Own the affiliate marketing channel end to end, including partner recruitment, budget allocation, forecasting, tracking, attribution, optimization, compliance, fraud auditing, and ROI management. Lead affiliate specialists and contractors while collaborating with Analytics, Finance, Provider Success, and executive stakeholders. Grow high-quality publisher relationships, improve patient acquisition outcomes, and develop scalable channel operations through data-driven decisions and automation.

Develop and operate production ML and AI systems powering patient experiences such as matching, ranking, recommendations, onboarding, and personalization. Build reusable ML infrastructure, pipelines, evaluation, observability, and model-serving capabilities. Provide technical leadership across the ML lifecycle, guide architecture, evaluate custom versus foundation-model approaches, and partner with ML and Patient Engineering teams to deliver reliable, scalable AI products.

Leads the AI Engineering team across applied AI features and foundational ML infrastructure. Responsibilities include managing Senior and Staff engineers, hiring and coaching, deploying LLM-powered capabilities, building MLOps and AI observability platforms, balancing product delivery with platform investment, and ensuring privacy, compliance, evaluation rigor, and clinical safety in production systems.