Leads complex customer deployments and pilots for data+AI security platform, integrating with cloud environments (AWS, Azure, GCP) and customer ecosystems. Drives technical discovery, builds integrations with Python/Go/TypeScript, mentors FDEs, and provides field feedback to product/engineering teams. Requires 5+ years in solutions/security engineering roles.
Salary not listed
Remote5+ YOESales Engineering
About the role
Responsibilities
Own outcomes for high stakes customer engagements
Lead technical discovery to map 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
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
Mentor other Forward Deployed Engineers and set the bar for technical excellence, customer empathy, and execution
Build reusable assets such as deployment playbooks, demo environments, reference architectures, and battle tested troubleshooting guides
Create tight feedback loops with Product and Engineering, turning patterns from the field into roadmap input and shipped improvements
Qualifications
5 or more years of experience in roles such as Forward Deployed Engineer, Solutions Architect, hands on Sales Engineer, Customer Engineer, Security Engineer, or similar, with deep technical delivery rather than presentation only responsibilities
Proven ability to lead complex technical engagements with enterprise customers across security, data, platform, and executive stakeholders
Strong cloud fluency across AWS, Azure, and GCP, including IAM concepts, networking fundamentals, logging and audit patterns, and deploying production grade services
Comfort working with modern data ecosystems and the realities of data sprawl across warehouses, lakes, object stores, and SaaS platforms
Strong debugging and systems thinking skills, with the ability to isolate root cause from ambiguous symptoms and communicate clearly while unblocking teams
Ability to write production quality code or scripts when needed, for example in Python, Go, or TypeScript, and to reason deeply about APIs and integrations
Prior experience mentoring or leading others, either formally or informally, with a genuine interest in making the team better
Ability to set direction in ambiguous situations, make tradeoffs, and keep customers and internal teams aligned
Strong relationship skills and executive presence with calm, clear communication and high trust under pressure
Nice to Haves
Experience in data security, DSPM, cloud security posture management, identity governance, or Zero Trust initiatives, especially those involving data object level controls
Familiarity with security operations workflows such as alerting, investigations, audit evidence generation, and incident response
Experience working in regulated environments with privacy, compliance, or audit requirements
A track record of building repeatable deployment playbooks or scalable post sales motions
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