• Own outcomes for high stakes customer engagements • Lead technical discovery to map a customer’s data and identity reality, including key data stores, flows, access patterns, and risk hotspots. • Drive successful pilots and proofs of concept from blank slate to measurable value, including success criteria, implementation plans, and executive ready outcomes. • Design and implement secure deployments across cloud, on-prem, and hybrid environments, including AWS, Azure, GCP, and on premise patterns. • Integrate Symmetry into customer ecosystems such as identity systems, data platforms, and security tooling, leaning on existing integrations and building new ones when needed. Take advantage of AI tooling (such as Claude code) to expedite integrations. • Translate data security posture and identity risk signals into prioritized remediation plans, including least privilege, dormant access reduction, and anomalous activity response. • Partner with Sales to run technical workshops, threat and risk reviews, and architecture sessions that build trust and momentum. • Handle the hard questions about how this works in real environments and about long term outcome arcs. • Multiple enterprise pilots convert to production expansions because customers can clearly prove improved visibility, reduced risk, and operational fit. • The team moves faster because your templates, playbooks, and mentorship raise overall execution quality.

• Own outcomes for high stakes customer engagements • Lead technical discovery to map a customer’s data and identity reality, including key data stores, flows, access patterns, and risk hotspots. • Drive successful pilots and proofs of concept from blank slate to measurable value, including success criteria, implementation plans, and executive ready outcomes. • Design and implement secure deployments across cloud, on-prem, and hybrid environments, including AWS, Azure, GCP, and on premise patterns. • Integrate Symmetry into customer ecosystems such as identity systems, data platforms, and security tooling, leaning on existing integrations and building new ones when needed. Take advantage of AI tooling (such as Claude code) to expedite integrations. • Translate data security posture and identity risk signals into prioritized remediation plans, including least privilege, dormant access reduction, and anomalous activity response. • Partner with Sales to run technical workshops, threat and risk reviews, and architecture sessions that build trust and momentum. • Handle the hard questions about how this works in real environments and about long term outcome arcs. • Multiple enterprise pilots convert to production expansions because customers can clearly prove improved visibility, reduced risk, and operational fit. • The team moves faster because your templates, playbooks, and mentorship raise overall execution quality.

• Own outcomes for high stakes customer engagements • Lead technical discovery to map a customer’s data and identity reality, including key data stores, flows, access patterns, and risk hotspots. • Drive successful pilots and proofs of concept from blank slate to measurable value, including success criteria, implementation plans, and executive ready outcomes. • Design and implement secure deployments across cloud, on-prem, and hybrid environments, including AWS, Azure, GCP, and on premise patterns. • Integrate Symmetry into customer ecosystems such as identity systems, data platforms, and security tooling, leaning on existing integrations and building new ones when needed. Take advantage of AI tooling (such as Claude code) to expedite integrations. • Translate data security posture and identity risk signals into prioritized remediation plans, including least privilege, dormant access reduction, and anomalous activity response. • Partner with Sales to run technical workshops, threat and risk reviews, and architecture sessions that build trust and momentum. • Handle the hard questions about how this works in real environments and about long term outcome arcs. • Multiple enterprise pilots convert to production expansions because customers can clearly prove improved visibility, reduced risk, and operational fit. • The team moves faster because your templates, playbooks, and mentorship raise overall execution quality.

• Own outcomes for high stakes customer engagements • Lead technical discovery to map a customer’s data and identity reality, including key data stores, flows, access patterns, and risk hotspots. • Drive successful pilots and proofs of concept from blank slate to measurable value, including success criteria, implementation plans, and executive ready outcomes. • Deploy, integrate, and make it real • Design and implement secure deployments across cloud, on-prem, and hybrid environments, including AWS, Azure, GCP, and on premise patterns. • Integrate Symmetry into customer ecosystems such as identity systems, data platforms, and security tooling, leaning on existing integrations and building new ones when needed. Take advantage of AI tooling (such as Claude code) to expedite integrations. • Translate data security posture and identity risk signals into prioritized remediation plans, including least privilege, dormant access reduction, and anomalous activity response. • Be the technical closer without being salesy • Partner with Sales to run technical workshops, threat and risk reviews, and architecture sessions that build trust and momentum. • Handle the hard questions about how this works in real environments and about long term outcome arcs. • What success looks like in the first 6 to 12 months • Multiple enterprise pilots convert to production expansions because customers can clearly prove improved visibility, reduced risk, and operational fit. • The team moves faster because your templates, playbooks, and mentorship raise overall execution quality.