• Act as the primary technical advisor for assigned customer accounts, building trusted relationships with technical stakeholders and champions. • Lead product demonstrations, technical discovery sessions, and solution design workshops tailored to each customer's unique environment and business goals. • Support the sales cycle by delivering compelling proof-of-concept (POC) engagements, responding to technical RFPs/RFIs, and addressing technical objections. • Guide customers through onboarding and implementation, ensuring solutions are configured correctly and integrated seamlessly into their existing tech stack. • Troubleshoot complex technical issues escalated by customers, collaborating with internal Engineering and Support teams to drive resolution. • Develop and maintain technical documentation including integration guides, architecture diagrams, and best-practice playbooks. • Partner with Customer Success Managers to conduct regular technical health checks, identify expansion opportunities, and mitigate churn risk. • Gather and synthesize customer feedback to share product improvement insights with the Product and Engineering teams. • Contribute to the Customer Experience team's internal knowledge base, training materials, and onboarding resources. • Stay current on product releases, industry trends, and the competitive landscape to position our solutions effectively.

• Design and develop AI-powered automation solutions using AWS Bedrock. • Build and orchestrate AI agents capable of handling IT help desk workflows. • Develop integrations with enterprise platforms using REST APIs. • Implement automation for ticket triage, routing, and access request workflows. • Build serverless applications using AWS Lambda and Step Functions. • Integrate AI workflows with KACE, Okta, Azure AD, and similar enterprise platforms. • Design secure, scalable, and maintainable cloud-native solutions. • Collaborate with engineering teams to continuously improve AI agent performance. • Participate in architecture discussions and technical decision-making.

• Lead the design, development, and deployment of data integration solutions within Palantir Foundry and related data platforms. • Architect and implement end-to-end data pipelines, including ingestion, transformation, validation, and delivery of structured and unstructured data. • Develop and maintain ontology models, data schemas, and relationships to support analytics, search, and operational use cases. • Integrate data across multiple systems and platforms using scalable and secure patterns. • Collaborate with cross-functional teams to ensure seamless system interoperability and data consistency. • Implement data validation, quality assurance, and governance processes. • Support development of AI-enabled capabilities by enabling high-quality, well-structured data pipelines. • Operate within an Agile delivery model, contributing to sprint planning, backlog refinement, user story development, and iterative delivery of technical solutions.

• Lead technical enablement programs for partners, equipping their teams to successfully implement and drive adoption of Chainguard Containers and Libraries on behalf of their customers • Partner with the alliances and channel team (Partner Account Managers, AEs, SEs, and CSMs) to understand partner capabilities, pain points, and go-to-market motions in order to drive joint strategies, value realization, and mutual growth • Develop and maintain partner-facing technical content, including integration guides, reference architectures, and best practices, to enable partners to scale Chainguard implementations independently • Support partners in post-sales technical engagements, including co-delivery of implementations, architecture reviews, and escalation support for complex customer environments • Act as the primary technical liaison between the partner ecosystem and Chainguard's Product and Engineering teams, conveying partner-sourced requirements and feedback to influence roadmap prioritization • Build and maintain a deep understanding of partner technical competencies, identifying gaps and designing enablement programs to close them • Maintain partner-level architecture documentation and share best practices and lessons learned across the organization • Be a team player - collaborate, teach, and learn from both the Chainguard team and the broader partner community