• Owning the “technical win” for Veda in new prospect sales cycles. • Building and enhancing Demos for Veda products. • Building custom Solution Architecture designs for prospects and proposals. • Support the Account Manager on technical, consultative discovery and qualification with prospects. • Plan, execute, and manage 1-2 week Guided Proof of Concepts (PoCs) for prospective customers, defining clear technical success criteria (KPIs) that map to the prospect's business goals. • Collect and organize feature requests for the Product Management team. • Respond to RFP, RFI, and technical questionnaires from prospects. • Lead the technical portion of Security reviews, articulating Veda’s security posture, audit history, and risk management practices. • Owning and enhancing public technical documentation via https://docs.veda.tech/ and supporting the buildout of technical public facing marketing materials.

• Prepare and deliver technical presentations explaining Obsidian solutions to prospective and existing customers. • Partner internally and externally to assess security needs and to determine requirements and alignment of Obsidian solutions to prospect pain points. • Conduct solution proof-of-value engagements to obtain technical wins. • Conduct field reconnaissance to provide feedback and insights to product management and engineering.

• Prepare and deliver technical presentations explaining Obsidian solutions to prospective and existing customers. • Partner internally and externally to assess security needs and to determine requirements and alignment of Obsidian solutions to prospect pain points. • Conduct solution proof-of-value engagements to obtain technical wins. • Conduct field reconnaissance to provide feedback and insights to product management and engineering.

• Collaborate with clients to understand business needs and translate them into AI/ML-driven solutions. • Build, fine-tune, and integrate AI/ML models (LLMs, NLP, computer vision, deep learning, traditional ML). • Deliver applications that are reliable, intuitive, and built for long-term value. • Navigate emerging and rapidly changing AI/ML technologies and tools. • Adapt quickly, lead through change, and make confident decisions with limited information. • Recommend modern approaches and innovations in AI/ML. • Ask the right questions to uncover root causes and deliver solutions that solve the real problem. • Dig into data pipelines, model architectures, optimization techniques, and workflows that drive better outcomes. • Architect scalable, maintainable AI/ML solutions that go beyond one-off experiments. • Uphold security, data governance, and best practices in every deployment. • Monitor model performance, retrain when necessary, and implement CI/CD pipelines for continuous improvement. • Help others by guiding team members to elevate technical delivery and AI/ML literacy.