• 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.

• Proactively engage with and reach out to customer technical decision-makers and influencers. Utilize information on customer business, industry, needs, competitive landscape, and key priorities to support the customer's digital transformation. • Run data workshops to build plans for implementing solutions that align with customer business goals and technical environments. • Drive pilots, proofs of concept (POC), and value (e.g., optimizing solutions and costs) and moves the customer forward from pilots to productive deployments by rooting pilots in business impact. • Troubleshoot technical issues reported by customers during the implementation and ongoing campaign deployment process and provide solutions. • Identify, escalate, and work to resolve technical blockers (e.g., changing configurations, sample coding) to accelerate architecture implementations, and route non-technical issues for removal by appropriate parties. • Proactively engage with product and support teams (e.g., engineering) to remediate blockers by conveying impact. • Leverage best practices to guide customer strategy and future growth for Insider One by cultivating customer affinity with Insider One solutions that drive impact for the customer.