Top Tech Jobs & Startup Jobs in Austin, TX

Lead product marketing for AI and quality engineering offerings: develop persona-based positioning, create content across the sales lifecycle, support demand generation, conduct market and competitive research, influence product roadmap, run win/loss analysis, and represent the company externally to drive pipeline and adoption.

Lead engineering vision and architecture for LLM-based systems, mentor engineers, define org-wide standards for quality, safety, and observability, drive multi-team production initiatives, own platform and cloud-native decisions, and resolve high-severity AI production incidents.

Design and evolve a scalable, secure AI platform and reference architecture. Lead model selection, RAG/agent frameworks, vector DBs, feature stores, MLOps, inference optimization, and governance. Provide architectural direction for agentic AI, LLMOps/AIOps, observability, and responsible AI. Influence engineering teams and cross-functional stakeholders to implement production-grade AI systems.

Lead product strategy and execution for a continuous testing SaaS platform. Manage multiple product teams, partner with engineering and marketing, define roadmap and GTM, drive prioritization, pricing, and customer-focused product decisions, and establish data-driven product practices.

Lead and execute InfoSec program initiatives: roadmap, planning, and delivery across identity, cloud, third-party risk, and security tech. Drive stakeholder engagement, create executive reporting (SLAs/KPIs), manage project lifecycle documentation, host syncs and deep dives, validate workflows, and implement process improvements.

As a Pre-sales Solution Architect, coordinate with sales teams to enhance product understanding, deliver demonstrations, respond to customer inquiries, and guide data migration strategies for enterprise customers.

Lead and mentor teams to implement AI solutions, providing architectural guidance and ensuring high technical standards, while driving continuous improvement in engineering practices.

Lead strategic engagement for enterprise SaaS customers to drive adoption, retention, renewals, and expansion. Build executive and technical relationships, create account plans, monitor health and usage, coordinate cross-functional teams, and deliver measurable outcomes in software quality and engineering efficiency.

Lead and mentor teams in developing language model-based AI solutions, ensuring high technical standards, quality implementations, and effective communication with stakeholders.

The Vice President will lead data-driven decision-making in GTM, overseeing analytics transformation and aligning C-suite stakeholders on performance metrics and insights.