Top Remote Jobs in Austin, TX

The Sales Director will sell to Fortune 1000 companies, manage sales processes, negotiate terms, document opportunities in CRM, and work cross-functionally to achieve sales goals.

The Senior Manager will drive new business in market research, forging client relationships and promoting insight solutions through consultative selling and collaboration with internal teams.

Own a defined enterprise territory to drive revenue by selling SaaS solutions into CFO/CIO organizations. Build pipeline, lead complex consultative deals, negotiate contracts, forecast in Salesforce, and coordinate internal resources to deliver proposals and demos.

As a Data Engineer, you will build and maintain data pipelines, convert data into metrics, and operate the platform on AWS. Responsibilities include writing production code, processing data from APIs, and enhancing the orchestration layer using Dagster, while ensuring compliance in a HIPAA-regulated environment.

The AI Data Specialist role involves data collection, evaluation, annotation, pairwise comparisons, and tagging across various content types.

Perform on-site layout, quality inspections and progress reporting using the Atom AR headset. Set control points with a total station, review and process survey data, obtain and export approved Revit models into HoloSite, produce inspection reports, coordinate with contractors and report to Field Operations Manager.

As a Tech Specialist, you will bridge business ideas with digital tools, use AI for automation, troubleshoot issues, and assist the CTO while learning the tech department's operations.

The Solutions Engineer collaborates with sales to meet customer needs, conducts demos, develops proposals, and ensures product implementation and support.

Own product strategy and roadmap for an agentic AI platform that enables practitioners and AI agents to run defensible tax analysis on trusted data. Define compliance-grade requirements, agent access surface, and data-product contracts. Manage external data sourcing, measure success by practitioner outcomes, and collaborate closely with AI and data engineering leaders to deliver production results.

The DevRel will create technical content, engage with the AI community, provide product feedback, and support workshops to drive developer adoption.