Top Tech Jobs & Startup Jobs in Austin, TX

Lead software engineering for the Patient Onboarding team, building and improving registration, insurance verification, and care-access workflows. Write full-stack production code, lead complex cross-team initiatives, shape technical direction, improve engineering foundations, and support modern AI-enabled development practices. Collaborate with Product, Design, Analytics, and Engineering to improve patient conversion and system reliability.

Designs and builds Salesforce architecture supporting patient, clinician, insurance, and operational workflows. Responsibilities include Salesforce development and automation, system integrations, data modeling, security, monitoring, recovery, technical standards, deployment processes, stakeholder alignment, and mentoring. The role requires architecture ownership for complex implementations and experience in regulated or HIPAA-compliant environments is preferred.

Own the revenue operating model for a core B2B business unit, including GTM planning, targets, quotas, territories, capacity, funnel design, forecasting, and pipeline reviews. Partner with Sales, Marketing, Product, and Finance to improve growth economics, refine ICP strategy, and translate performance data into executive decisions. Lead cross-functional planning and manage a team while supporting the transition from growth to scalable execution.

Build scalable, secure data pipelines, models, platforms, and governance systems that enable AI applications to access trusted enterprise data. Partner with analytics, marketing, and product teams to translate requirements into technical solutions, independently deliver projects through production, and support sensitive-data security and access controls. Preferred experience includes LLM architectures, cloud data platforms, infrastructure as code, regulated environments, and technical leadership.

Owns the strategy, architecture, and implementation of production AI and machine learning systems for personalization, search ranking, relevance, and patient-provider matching. Builds recommendation engines, retrieval models, LLM applications, and scalable ML infrastructure while establishing AI safety, evaluation, and MLOps standards. The role requires hands-on model development, technical leadership, mentoring, and responsible deployment of AI in a regulated mental healthcare environment.

Lead the patient experience at Rula by improving access to mental health care through data-driven insights, collaboration with teams, and engaging with users.