Top Tech Jobs & Startup Jobs in Austin, TX

Lead end-to-end sourcing and category strategy for indirect services and third-party bought-in goods, managing $32M+ spend. Deliver strategic sourcing, supplier selection, contract management, P2P governance, cost savings, and stakeholder partnership across the US and global procurement teams.

Reviews, edits, and audits AI-assisted legal opinions and case law content. Analyzes cited authorities, determines precedential relationships, applies history and treatment phrases, validates output against source material, and corrects legal or editorial issues. The role requires accurate, consistent work, strong legal judgment, issue spotting, deadline management, and adherence to editorial guidelines while working independently in a remote environment.

Coordinates commercial and personal property contents claims from triage through valuation. Manages claim tasks, service-level deadlines, customer communications, adjuster collaboration, and cross-functional queues. Provides support through live chat and hotline, assesses assignment requirements, recommends appropriate solutions, and maintains accurate, productive file handling in a remote environment.

Build, test, deploy, and support scalable enterprise applications across the full stack. Develop responsive front ends, backend services, APIs, integrations, database solutions, and cloud applications. Use AI-assisted coding tools to improve development productivity while maintaining secure, maintainable code. Collaborate with analysts, architects, consultants, and developers, and mentor team members in a fully remote environment.

Own the complete B2B SaaS sales cycle, including prospecting, discovery, demonstrations, negotiation, and closing. Build and manage pipeline, run multi-stakeholder sales cycles with IT and executive buyers, communicate AI automation value, maintain CRM forecasting accuracy, and provide customer and competitive insights. As an early go-to-market team member, help develop sales processes, messaging, and the broader sales playbook.

Manage paid media strategies and campaigns across search, social, display, and programmatic channels. Advise clients using integrated paid, organic, and analytics data; oversee campaign performance, keyword research, ad copy, landing page recommendations, and presentations. Build client relationships, mentor account associates, collaborate with SEO and data teams, and use AI to improve workflows and outcomes.

Sell digital intelligence hardware, software, and training solutions to state and local law enforcement agencies across the Northeast. Build pipelines, develop strategic account plans, manage procurement and contracting cycles, conduct competitive analysis, forecast sales, present proposals, expand accounts, and coordinate with resellers, executives, engineering, and marketing. Maintain customer relationships, attend industry events, and achieve revenue objectives while serving as a trusted advisor to public-sector customers.

Leads commercial construction contract review, negotiation, risk management, billing, collections, lien compliance, insurance programs, project closeout, and contract systems administration. Manages and develops the contract administration team, partners with legal, accounting, project management, and estimators, oversees construction billing platforms, tracks KPIs, and drives process standardization and continuous improvement to reduce risk and improve cash flow.

Own and scale Nango’s cloud platform, including compute, networking, data infrastructure, Kubernetes, IaC, and GitOps. Lead BYOC and private-cloud deployments, productize provisioning and upgrades, establish SLOs and incident processes, operate PostgreSQL, Redis, Elasticsearch, and ClickHouse, and oversee infrastructure security and compliance. Help shape product strategy while supporting a remote-first, autonomous engineering team.

Design, build, and deploy production-ready intelligent solutions using machine learning, deep learning, generative AI, and large language models. Develop RAG pipelines, integrate AI services, manage model deployment and MLOps workflows, and apply strong software engineering practices. Collaborate with engineering, product, and data teams in a distributed environment to create scalable, reliable, responsible AI-powered products.