More jobs:
Chief Technology Officer; CTO
Job in
Austin, Travis County, Texas, 73301, USA
Listed on 2026-11-05
Listing for:
Aurus.ai
Full Time
position Listed on 2026-11-05
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), Cloud Computing: Infrastructure & Operations, Cybersecurity
Job Description & How to Apply Below
What You'll Do
- Define and execute technical strategy and product roadmap aligned with business objectives and market needs
- Lead architecture design for scalable, secure, enterprise-grade AI/ML systems processing millions of documents and transactions
- Build, mentor, and manage high-performing engineering team (currently 10+ engineers, scaling to 30+)
- Drive innovation in document intelligence, reconciliation engines, NLP, and computer vision technologies
- Establish engineering best practices, Dev Ops culture, CI/CD pipelines, and quality assurance processes
- Partner with CEO and product leadership on strategic planning, fundraising, and customer technical engagements
- Ensure security, compliance (SOC 2, GDPR, HIPAA), and reliability standards for enterprise customers
- Make build vs buy decisions, evaluate technology partnerships, and manage technical vendor relationships
- Represent Aurus.ai technically at conferences, customer meetings, and in thought leadership content
- 15+ years software engineering experience with 8+ years in technical leadership roles (VP Engineering, CTO, or equivalent)
- 5+ years hands-on experience with AI/ML systems, particularly NLP, computer vision, or document intelligence
- Proven track record scaling engineering teams from 10-50+ engineers in high-growth startup environment
- Deep expertise in cloud infrastructure (AWS/Azure/GCP), microservices architecture, and distributed systems
- Experience architecting and deploying enterprise SaaS products serving Fortune 500 customers
- Strong understanding of security, compliance (SOC 2, GDPR), and enterprise requirements
- Excellent communication skills with ability to translate technical concepts for non-technical stakeholders
- Track record of successful product launches and driving technical innovation
- Bachelor's degree in Computer Science, Engineering, or related field; advanced degree preferred
- PhD in Computer Science, AI/ML, or related field from top-tier research institution
- Experience as CTO at successful venture-backed startup (Series A-C or beyond)
- Published research in AI/ML conferences (NeurIPS, ICML, CVPR) or peer-reviewed journals
- Domain expertise in Fin Tech, financial services, or supply chain/logistics systems
- Previous experience with document processing, OCR, or reconciliation systems
- Network in AI/ML community and ability to attract top engineering talent
- Experience with fundraising, technical due diligence, and board-level communication
- Ship 3+ major product releases with measurable customer impact and satisfaction scores >4.5/5
- Scale platform to handle 10M+ documents/month with 99.9% uptime SLA
- Grow engineering team from 10 to 25+ world-class engineers across ML, backend, and Dev Ops
- Achieve SOC 2 Type II certification and complete 5+ enterprise security audits
- Establish technical advisory board and speaking presence at 3+ industry conferences
- Reduce technical debt by 40% while increasing development velocity by 30%
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