• Drive the AI Governance Motion as a top priority ● Make it the team's number-one focus, owning the technical win on Docker's largest AI Governance opportunities across EMEA. • Keep the team ahead of a fast-moving segment where customer requirements, Docker's products, and the competitive landscape are all changing constantly, and translate that change into current demos, proofs-of-value, and sales plays. • Partner with Product and Engineering to feed AI Governance customer requirements into roadmap and prioritization, and to get the team early access to new releases. • Hire, onboard, and ramp SEs quickly to meet AI Governance pipeline demand. • Build and maintain SE enablement programs and learning paths that make new hires productive fast and keep the team current as products and use cases evolve. • Operate as a player/coach, running the full management cadence (1:1s, pipeline syncs, QBRs, enablement) while staying close to the technical win on marquee accounts. • Partner with the EMEA Sales organization to drive technical closure, guiding discovery, solution design, and proof-of-value to achieve customer success and sales goals. • Own the technical-win motion on Docker's largest accounts, including AI Governance, Sandboxes, Docker Hardened Image, MCP Catalog, and runtime container security. • Define metrics, performance standards, and success measures for technical sales excellence, and manage to them. • Coach, mentor, and empower your team to engage effectively with enterprise customers and communicate complex technical concepts clearly.

• Lead Fraud Solutions across products, client segments, and channels • Serve as the primary representative of Fraud Solutions with enterprise partners and leadership • Manage a high-performing team of experienced fraud policy and risk management professionals • Drive forward-looking risk discussions vs. reactive issue management in governance forums • Ensure fraud risks are clearly articulated in business terms • Establish yourself as the trusted, go-to partner across EFS by building and maintaining strong relationships

Role Description The Solution Architect / Development Manager will lead the overall NetSuite technical architecture, development standards, integrations, and delivery governance while ensuring scalability, security, and performance. Key Responsibilities - Assist in defining NetSuite architecture and technical roadmap. - Assist / Lead technical solution design and architecture reviews. - Establish development standards and governance processes. - Conduct code reviews and quality assurance. - Design enterprise integrations and data flows. - Manage technical debt and platform optimization initiatives. - Provide technical leadership to development teams. - Support release planning and deployment governance. - Collaborate with business stakeholders on strategic initiatives. Qualifications - 8+ years of NetSuite architecture and development experience. - Strong expertise in SuiteScript, SuiteFlow, SuiteTalk, REST APIs, and integrations. - Experience leading ERP modernization initiatives. - Strong stakeholder and team leadership experience.

Role Description We are seeking a Solution Architect (AI & Data Platform) to shape a unified data platform and AI-driven workflows across Snowflake and AWS. You will align architecture with senior stakeholders while staying hands-on with engineering execution and code contributions. Apply now to help drive scalable AI and data solutions. - Perform a gap analysis of the existing data and AI architecture - Design and deliver a unified data platform spanning Snowflake and AWS - Define AI workflow architecture that scales and minimizes technical debt - Collaborate with senior leadership and data platform teams to align priorities - Review, guide, and contribute to code development to support delivery - Drive best practices across data engineering and AI architecture Qualifications - Proven track record with 8+ years of experience in data engineering/architecture - At least 2 years of experience in leading a team (at least 20 employees) - At least 2 full-cycle project participation experiences or participation in several projects covering different phases of the development lifecycle - Demonstrated experience delivering enterprise AI/data transformations - Deep expertise in Snowflake, including data modeling and performance tuning - Hands-on proficiency in AWS services such as S3, Lambda, Glue, and IAM - Strong skills in Python and advanced SQL for data platform development - Practical familiarity with Kafka and Airflow in production environments - Solid background in AI/ML workflows and agent-based systems - Clear understanding of data platform consolidation strategies and trade-offs - English proficiency at B2 (Upper-Intermediate) level or higher