Top Tech Jobs & Startup Jobs in Austin, TX

Own and scale a TikTok creator community on Discord as a revenue channel. Responsibilities include creator recruiting, tiering, incentives, retention, training, funnel reporting, ROI analysis, people management, cross-functional coordination, escalations, automation, attribution, payment workflows, and playbook development. The role manages creator performance across GMV, content volume, conversion, and program economics while preparing operations for significant scale.

Build and deploy production machine-learning systems within client environments, covering data discovery, modeling, validation, deployment, scheduling, monitoring, and retraining. Develop forecasting and detection models for imperfect time-series data, establish honest evaluation and KPI frameworks, and ship usable APIs or interfaces. Work directly with client IT and data teams through discovery, demos, and feedback cycles. The role also involves data engineering, software development, basic cloud and DevOps work, and advising clients when ML is not appropriate.

Provides executive and operational support to the founders, managing calendars, inboxes, travel, leadership meetings, action items, hiring coordination, candidate pipelines, finance coordination, market research, marketing support, and ad-hoc projects. The role begins with administrative execution and expands into cross-functional project management, process design, and strategic initiative support. It requires high autonomy, discretion, sound judgment, strong communication, ownership, and the ability to organize a fast-paced startup environment.

Lead and deliver Workday implementations with a focus on integrations. Design, build, test, and deploy Workday Studio integrations using Core Connectors, PECI, EIBs, and XSLT. Collaborate with business and technical stakeholders and own end-to-end integration lifecycle from requirements through production deployment.

Develops and deploys machine learning systems for high-stakes decisions in pricing, claims, underwriting, and predictive health. Responsibilities span problem framing, quantitative research, experimentation, causal inference, predictive modeling, multimodal and foundation model development, agent systems, production deployment, and ongoing iteration. The role requires strong mathematical and statistical foundations, Python fluency, and expertise in machine learning, statistics, econometrics, or causal inference.

Design and implement enterprise data and lakehouse architectures for client data, cloud, and AI transformation initiatives. The role requires hands-on expertise with Databricks, Azure, GCP, Spark/PySpark, SQL, Unity Catalog, governance, Terraform, and CI/CD. Responsibilities include client-facing solution architecture, clear communication, and delivery of scalable analytics solutions. Databricks Champion status is mandatory, while DPP experience is preferred. Immediate or 30-day-or-less availability is preferred.

Build and ship P-1 AI’s core product platform for Archie, an AI engineering agent. Own end-to-end features spanning architecture, backend, frontend, deployment, and reliability. Collaborate with AI researchers, forward-deployed engineers, founders, and customers to rapidly prototype, launch, and refine product concepts. Establish advanced AI-assisted development practices and continuously improve engineering workflows, product quality, and delivery speed.

Own frontend architecture for multi-tenant applications serving internal, customer, and partner audiences. Build React and TypeScript interfaces, shared component libraries, theming and branding systems, accessible user experiences, and integrations with governed APIs. Establish engineering standards, document technical decisions, navigate open architecture questions, and support workflows ranging from immediate interactions to longer approval processes involving sensitive or regulated data.

Lead Enformion’s channel sales and strategic partnership program across the United States. Manage reseller relationships, identify upsell and cross-sell opportunities, develop new partnerships, negotiate and originate channel deals, oversee onboarding and renewals, deliver QBRs, monitor partner health, and achieve revenue quotas. The role combines partner strategy, account management, sales execution, executive communication, and cross-functional collaboration with Customer Success, Product, Accounting, and Engineering.

Own the technical sales cycle for Databricks consulting engagements, including discovery, architecture design, solution scoping, estimation, proposals, demos, proofs of concept, workshops, and statements of work. Design lakehouse, data engineering, analytics, governance, security, and AI architectures. Partner with sales, Databricks, alliance, and delivery teams while ensuring effective handoffs into implementation.