Top Tech Jobs & Startup Jobs in Austin, TX

Develops future leaders by identifying talent, designing leadership programs, providing coaching and mentoring, supporting succession planning, managing leadership and training teams, and measuring development outcomes. The role requires extensive travel, approximately 75% of the time, for field coaching, leadership development, and business initiatives.

Develop and distribute recurring reports, gather stakeholder requirements, enhance data and reporting capabilities, automate manual processes, analyze KPIs and trends, and present insights to business leaders. Partner with business and technical SMEs on data deep dives, quality improvements, and ad hoc finance and business initiatives. The role requires hands-on Power BI and SQL experience, strong Excel skills, and familiarity with VBA and Python.

Sources and engages women's health clinicians, including CNMs, WHNPs, OB/GYNs, and PAs. Conducts structured initial screens, evaluates licensure and availability, maintains accurate ATS records, manages candidate pipelines, re-engages passive candidates, tracks outreach metrics, and provides polished handoffs to recruiters. Supports physician sourcing strategy and delivers daily pipeline updates during a three-month fractional engagement.

Manage a customer book of business across onboarding, adoption, expansion, retention, and renewals. Build success plans, lead executive business reviews, provide data-driven e-commerce insights, and collaborate with sales and internal teams. The role focuses on customer satisfaction, revenue growth, lifecycle management, and trusted-advisor relationships with users and executives.

Supports billing operations by answering billing inquiries, researching payroll issues, reconciling accounts, preparing and auditing invoices, monitoring client agreements, maintaining reports, and coordinating with internal departments to ensure accurate and timely billing.

Lead Storyblocks’ AI product team and own the roadmap for conversational search and its MCP connector. Partner with engineering, data science, design, research, marketing, and analytics to define metrics, run experiments, conduct customer research, manage complex platform launches, and deliver business results. The role requires shipping customer-facing AI products, optimizing search and relevance, evaluating models, and communicating priorities to technical and executive stakeholders.

Lead the architecture, implementation, governance, and operation of enterprise AI agents using Amazon Bedrock AgentCore. Design agents, knowledge bases, action groups, orchestration workflows, registries, guardrails, and emergency shutdown controls. Guide ECS deployments, API Gateway integrations, IAM governance, authentication, and platform standardization. Provide technical leadership to engineering and DevOps teams while collaborating with AWS specialists, customers, and business stakeholders.

Own renewals and expansion for an SMB customer portfolio, managing high-volume transactional sales cycles. Responsibilities include forecasting, negotiating, closing renewals, identifying usage-driven upsell and cross-sell opportunities, monitoring consumption data, preventing churn, engaging decision-makers, and partnering with Customer Success, Solutions Engineering, Product, and Support. The role requires selling a technical AI product to engineering and data science buyers while communicating customer patterns internally.

Lead global compensation programs, job architecture, market pricing, benchmarking, salary surveys, and annual merit and bonus processes. Develop compensation analyses and recommendations, partner with HRIS on configuration and testing, support bonus and commission programs, ensure pay compliance, and collaborate with HR, Finance, Legal, Talent Acquisition, and business leaders. The role is primarily remote with occasional travel up to 10%.

Lead execution of the product roadmap translating CPO vision into deliverables. Own product workstreams, coach a small PM/design team, drive cross-functional alignment, ground decisions in customer insight and data, and build scalable processes for prioritization, execution, and measurement.