Top Tech Jobs & Startup Jobs in Austin, TX

Own and resolve technical support tickets for developer and security customers through Zendesk, Slack, and Discord. Troubleshoot GitHub, CLI, API, webhook, JSON, and CI/CD integration issues; reproduce bugs and provide engineering-ready escalations. Create runbooks, troubleshooting guides, and macros, identify recurring issues, support product improvements, and participate in regional, weekend, and holiday on-call rotations.

Build and run sales enablement programs for AEs and SDRs, including onboarding, ramp, training, certifications, playbooks, and sales content. Operationalize MEDDPICC, improve sales-tool and Gong adoption, pilot AI capabilities, and partner with Sales, RevOps, Marketing, Product, and Operations. Success is measured through faster ramp times, improved rep productivity, stronger funnel performance, and effective product-launch readiness.

Build Nango’s customer success function by managing strategic developer-tool and technical SaaS accounts, driving adoption, renewals, and expansion. Develop relationships with technical users and executives, identify use cases and adoption risks, resolve customer blockers with Engineering, and create scalable playbooks for serving more than 700 customers. Track customer health, retention, and growth while partnering closely with the founders.

Recruit mental health therapists by promoting the company’s mission, sourcing active and passive candidates, managing recruiting and onboarding, maintaining applicant tracking systems, coordinating candidate marketing campaigns, and supporting recruitment programs. The role requires strong communication, organization, data management, spreadsheet skills, and follow-through. The position also includes attending at least two therapist conferences annually and completing recruiting-related special projects.

Designs and guides enterprise payment integrations from architecture through go-live. Responsibilities include tracing payment transaction flows, identifying integration points, creating system and sequence diagrams, writing API integration specifications, leading technical reviews, and presenting recommendations to executives and engineering teams. The role also partners with sales, product, and implementation teams while ensuring compliant deployment of payment solutions.

Lead strategy and execution for the digital storefront to optimize path-to-purchase and lifetime value. Coordinate cross-functional squads, run advanced A/B experimentation, define metrics and event tracking, prioritize roadmap based on user insights, and collaborate with engineering on technical tradeoffs to drive conversion and revenue.

Own customer onboarding from signed agreement through first results, including sales handoff, stakeholder engagement, technical setup, data validation, use-case development, escalations, and transition to Customer Success Managers. Build scalable onboarding playbooks, systems, and tools; document best practices; train future teammates; and use AI to develop workflows and automations. The role is fully remote and supports mid-market and enterprise brands.

Own the full enterprise sales cycle, from prospecting and discovery through pilots, business-case development, security, legal, procurement, and contract close. Sell customer intelligence technology to large consumer businesses, manage complex buying committees, expand accounts across use cases, and generate qualified pipeline. Partner with founders, Customer Experience, and Product teams to improve sales motions, pilot conversion, implementation, and customer handoffs.

Manage a portfolio of SaaS customers, driving retention, renewals, upsells, cross-sells, and professional services sales. Build strategic account plans, engage executive stakeholders, maintain CRM forecasting, conduct account reviews, resolve escalations, and advocate for customer needs. Collaborate with sales, product, support, services, and marketing teams while analyzing account health and documenting best practices.

Lead integration-domain architecture and delivery for an AI-driven cybersecurity platform. Design and operate production microservices integrating REST, GraphQL, streaming, MCP, and LLM-based services. Make system architecture and API decisions, mentor engineers, conduct design and code reviews, improve engineering rigor, and champion AI-assisted development, testing, deployment, monitoring, and incident response.

Develop robotics datasets and evaluations for embodied AI systems. Responsibilities include defining data schemas, annotations, quality standards, collection protocols, validation tools, and review workflows. The role also involves running experiments to assess how data quality and structure affect model performance, collaborating with research, engineering, vendors, and customers, and taking research tools from conception through deployment.