Chief Technology OfficerTradeverifyd • Austin, TX, US
Chief Technology Officer
Tradeverifyd • Austin, TX, US
[job_card.30_days_ago]
[job_preview.job_type]
- [job_card.full_time]
[job_card.job_description]Technology Strategy : Define and evolve Tradeverifyd’s long-term technical architecture to support AI-native products and services at scale. AI / ML Platform Development : Lead the design and operationalization of LLM- and agent-powered experiences, knowledge graphs, and adaptive learning systems. Data & Infrastructure : Own the architecture and implementation of scalable, secure, and high-performance data systems—supporting structured, unstructured, and real-time analytics. Team Building & Leadership : Scale a world-class engineering, AI, and data science team; foster a culture of accountability, experimentation, and excellence. Cross-Functional Execution : Partner with Product, GTM, and Strategy teams to deliver differentiated features, increase velocity, and align with customer needs. Builder mindset with experience shipping scalable AI-driven enterprise products . Deep systems thinker who can balance technical rigor with speed and business alignment . Excels at platform thinking , modular architectures, and enabling downstream product teams. Comfortable interfacing with enterprise customers, partners, and investors —translating complex tech into business value. Strong alignment with Tradeverifyd’s mission to deliver transparent, explainable, and actionable supply chain intelligence .
Tradeverifyd is seeking an AI first, scale-oriented CTO to lead technology strategy and execution as we scale our platform to the next stage of rapid growth. This role is for a senior technical leader who thrives at the intersection of AI / ML, large-scale data systems, and graph- and semantics-powered intelligence, and who can translate those capabilities into enterprise-grade, trusted, and performant SaaS offerings.
Ideal Experience
- 2x experience leading enterprise SaaS product and engineering orgs through growth from Series A to $50M+ ARR , including team scale-up, platform evolution, and customer impact.
- Proven success in building and operating AI-first architectures —particularly those focused on operationalizing ML , semantic reasoning , graph analytics , and knowledge extraction in real-time and batch settings.
- Deep understanding of event-driven architecture , streaming data pipelines , and multi-tenant SaaS infrastructure , including hybrid deployment environments (PaaS, on-prem, air-gapped).
- Hands-on experience scaling data platforms with MongoDB, Elastic, Neo4j / Memgraph , and AI pipelines across vector, symbolic, and hybrid reasoning systems.
- Familiarity with compliance , supply chain , or regulatory intelligence platforms is a strong plus.
Core Responsibilities
IPO Readiness : Implement engineering best practices, quality, and observability standards that ensure durability and resilience as the company approaches public markets.
Ideal Attributes
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