Top Tech Jobs & Startup Jobs in Austin, TX

Lead development of Trust & Safety systems to detect and mitigate fraud, billing anomalies, and credential abuse. Build scalable full‑stack, microservice-based tools, mentor engineers, define architecture and processes, and collaborate cross-functionally to measure and enforce safety policies across internal and external workflows.

Design, build, and optimize modular dbt pipelines and data models; translate ambiguous product requirements into production-grade data assets; diagnose query performance and lower warehouse compute costs (including migration to Snowflake); enforce code hygiene, data security, testing, and peer review; mentor junior engineers and adopt AI-assisted development tools to speed test generation and legacy discovery.

Owner of analytics for EHR, revenue cycle, and operations: design and run experiments, analyze financial and operational metrics, investigate billing and account issues, and deliver actionable insights to Product, Operations, Finance, and Customer Experience to improve accuracy, reduce friction, and support growth.

Own onboarding and long-term success for employer clients (<3,000 employees). Serve as primary contact, guide launches, support employer portal usage, deliver customized communications and campaigns, partner with brokers, marketing, product, and operations to increase benefit awareness and utilization.

As a Staff AI Engineer, you'll lead AI product development, overseeing technical direction, system deployment, and model evaluation while collaborating across teams.

Lead B2B activation marketing to drive patient starts from commercial referral channels by building scalable systems, attribution frameworks, and repeatable playbooks. Implement MarTech and data-driven strategies, run A/B and incrementality tests, automate campaign execution using AI/ML and LLM tools, and templatize activation campaigns while managing and growing a cross-functional team.

Design, build, and iterate patient onboarding systems and registration/eligibility flows. Own end-to-end projects, run experiments, optimize for performance, correctness, and resilience, and provide technical leadership, mentoring, and cross-functional collaboration with Product, Design, and Analytics.

The role involves designing AI systems for mental healthcare, focusing on building scalable, production-grade systems that enhance patient engagement and clinical operations. Responsibilities include setting technical standards and ensuring safety and reliability while working with advanced AI technologies.

Lead data-driven provider quality initiatives across the provider network: analyze large datasets, identify gaps and opportunities, design and execute cross-functional programs (note quality, provider reviews, AI documentation), and measure outcomes to improve core metrics.

Provide legal guidance on healthcare regulatory matters and commercial contracting for payor and clinical partnerships. Advise on corporate practice of medicine, fraud and abuse, telehealth, HIPAA, Medicare/Medicaid, AI clinical governance, and negotiate provider, payor, and commercial agreements to enable compliant growth.