Top Remote Jobs in Austin, TX

Serve as senior commercial leader for strategic, high-revenue accounts: develop account strategies, build executive relationships, drive revenue growth, negotiate contracts, lead cross-functional alignment, and act as customer advocate to improve service, retention, and long-term growth.

Lead and develop a team of Customer Success Managers for SMB and mid-market accounts to drive retention, adoption, expansion, and advocacy. Define success strategies, playbooks, KPIs, and reporting; own renewals and collaborate with Sales, Product, and Solutions teams to identify expansion opportunities and resolve escalations. Build customer health metrics, feedback loops, and advocacy programs while optimizing team operations, resource allocation, and forecasting.

The Outside Sales Representative will acquire and onboard local fitness and wellness businesses through a field-first sales approach, achieving monthly acquisition targets while traveling extensively within the assigned territory.

Sell 9amHealth's virtual specialty care to large employers (5K-25K employees). Own full sales cycle from prospecting to close, build partnerships with consultants, PBMs, and health plans, and develop employer launch strategies while collaborating with SDRs and national partnership teams.

Lead and grow a product support team for a live digital court reporting product (Maggie). Supervise analysts, triage and lead incident response for P0/P1 events, coordinate escalations to IT and engineering, run on-call rotations, develop runbooks/KB/training, track support metrics, provision hardware kits, and hire and train support staff.

Provide live technical support for Maggie court reporting product: triage and resolve product, hardware, network, and audio issues via tickets, calls, and chats; coordinate escalations to IT and engineering; file bug reports; maintain knowledge base; take on-call shifts for P0 incidents; build runbooks and hardware kits.

The Territory Sales Manager drives growth by managing insurance agents, promoting products, and achieving business goals through strategic partnerships and market analysis.

Use data analytics to compile, clean, and analyze complex data, develop standards and best practices, coach junior analysts, communicate insights to management, monitor KPIs, and influence business strategy.

Designs and implements Azure and GCP networking and cloud platform infrastructure, builds IaC with Terraform, ensures reliability/security/scalability, leads incident response and postmortems, develops monitoring strategy, evaluates new technologies, and mentors engineers.

Prepare journal entries, reconciliations, and analyses; support month-end close and GAAP compliance; assist audits; analyze financial statements and GL accounts; identify automation and AI opportunities to streamline accounting processes and produce operational/ad hoc reporting.

Own complex, high-value deals end-to-end, build and govern CPQ quotes, manage a high-volume Deal Desk queue, provide commercial guidance on discounts and approvals, collaborate with Sales, Finance, and Legal, enable sales reps, and improve Deal Desk SOPs and month/quarter-end processes.

Build, operate, and modernize scalable data pipelines and warehouse environments for lottery reporting, analytics, and AI readiness. Improve ingestion, transformations, data models, contracts, observability, lineage, and onboarding patterns. Automate operations, troubleshoot production issues, mentor engineers, and support migration from legacy to cloud architectures while ensuring data quality, reliability, and regulatory continuity.

Senior Product Engineer will build new products and prototypes, improve legacy systems, use AI-assisted tools to accelerate development, define specs and tests, enforce strong automated testing and CI/CD, partner across product and ops, and drive production-ready, observable, and maintainable releases.

Provide system administration and operational support for lottery platforms: implement new customers, troubleshoot availability/performance, monitor capacity and security, manage incidents and SLAs, maintain monitoring/KB articles, and participate in a 24x7 on-call rotation. Work on product releases, enhancements, and upgrades across Linux, databases, containers, and cloud environments.

Lead the data and ML product vision: define roadmap, prototype models on noisy behavioral datasets, translate signals into user-facing features, partner with engineering to productionize ML, and generate insights to inform product roadmaps.