Chief Technology Officer (CTO)

Aurus.ai; United States; Remote; USD 250,000 - 450,000; Full time

Job summary

Aurus.ai is seeking a seasoned technology leader to define and drive the company’s technical strategy and product roadmap. You will architect scalable, secure AI/ML platforms that process millions of documents, while building and mentoring a growing engineering organization from 10+ to 30+ engineers.

You will collaborate with the CEO and product leaders on strategic initiatives, fundraising, and high-value customer engagements, ensuring SOC 2, GDPR, and HIPAA compliance across enterprise

Qualifications

• 15+ years software engineering experience with 8+ years in leadership roles (VP Eng, CTO, or equivalent).
• 5+ years hands-on AI/ML work in NLP, CV, or document intelligence.
• Proven track record scaling teams from 10 to 50+ engineers in growth startups.
• Deep expertise in cloud infrastructure (AWS/Azure/GCP) and microservices.
• Experience delivering enterprise SaaS for Fortune 500 customers.
• Strong security/compliance knowledge (SOC 2, GDPR).
• Excellent communicator for technical and non-technical stakeholders.
• Bachelor's required; advanced degree preferred.

Responsibilities

• Define and execute technical strategy and product roadmap aligned with business needs.
• Lead architecture design for scalable, secure AI/ML systems handling millions of documents.
• Build, mentor, and manage engineering team (10+ now, scaling to 30+).
• Drive innovation in document intelligence, NLP, CV, and reconciliation tech.
• Establish DevOps culture, CI/CD, QA processes.
• Partner with CEO and product leadership on strategy, fundraising, and customer engagements.
• Ensure SOC 2, GDPR, HIPAA compliance and reliability for enterprise customers.
• Make build vs buy decisions and manage tech partnerships and vendors.
• Represent Aurus.ai at conferences and customer meetings.

Skills

Technical leadership

AI/ML systems

Cloud infrastructure

Microservices

NLP / computer vision

Enterprise SaaS

Security & compliance

Strategic planning

Communication

Education

Bachelor's degree in CS/Engineering

Advanced degree preferred

PhD in CS/AI (nice to have)

Job description

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, DevOps 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

Required Qualifications

• 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

Nice to Have

• 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 FinTech, 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

What Success Looks Like (First 12 Months)

• 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 DevOps
• 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%