Example Company
Software engineer
- Location
- San Francisco
- Type
- Full time
- Compensation
- $150k-$200k
- Posted
- 2 days ago
Join a team building useful software. Work closely with engineering and design to turn new ideas into products.
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Technical Account Manager
- Location
- Tel Aviv
- Type
- Full time
- Posted
- 1H AGO
About the role
Description
About Cyera
Come join the company building the security operating model for the age of AI. AI has changed how data is used — and security must change with it. Cyera's mission is to empower businesses to accelerate AI Adoption by defining a holistic approach to securing AI - from data to access to model. Instead of perimeter controls and static policies, Cyera provides a unified control plane that understands relationships between data, access, and behaviors across humans, systems, and AI. Backed by the world’s leading investors and working with a large and growing list of Fortune 1000 companies, we are looking for world-class talent to join us as we usher in the new era of data and AI security.
About the Role
As a Technical Account Manager, you will serve as a strategic technical advisor, ensuring customers derive maximum value from Cyera’s platform. You will provide a proactive engagement layer that improves service transparency, accelerates issue resolution, and builds customer confidence. By managing operational cadences, analyzing service trends, and facilitating cross-functional collaboration, you will ensure customers receive high-quality, coordinated technical guidance.
Key Responsibilities
- Strategic Relationship Management: Act as the primary technical contact for strategic accounts, building trust with security and technical leadership.
- Support & Escalation Oversight: Monitor ticket health, validate business impact, and drive prioritization and escalation paths to ensure expedited resolutions.
- Operational Reporting: Deliver monthly analytics on ticket trends, severity, and performance metrics, providing actionable insights for service improvement.
- Structured Engagement: Lead recurring reviews to align on open cases, project risks, and operational recommendations.
- Proactive Enablement: Provide targeted knowledge transfer and share best practices to improve customer workflows and platform adoption.
- Trend Identification: Analyze support data to proactively identify recurring technical issues or operational risks before they impact customer outcomes.
Cross-Functional Partnership: Collaborate with Product, R&D, and Customer Success teams to resolve blockers and ensure a unified customer experience.
Requirements
- Experience: 5+ years in Technical Account Management, Support Engineering, or a related customer-facing role within SaaS, cybersecurity, or complex technical environments.
- Operational Expertise: Strong grasp of support workflows, including case triage, SLA management, incident communication, and knowledge management.
- Communication & Consulting: Ability to translate complex technical data into clear, executive-ready reports and communicate effectively with both technical and non-technical stakeholders.
- Program Management: Proven track record of managing multiple accounts, tracking action items, and driving cross-functional alignment.
- Education: Bachelor’s degree in Computer Science, Information Systems, Cybersecurity, or equivalent practical experience.
- Technical Proficiency: Hands-on experience with SQL, REST APIs, scripting languages (e.g., Python, Bash, PowerShell), stack trace analysis, and containerized environments (Docker/Kubernetes).
- Security & Identity Architecture: Familiarity with identity management, authentication protocols, and access controls (SSO, SAML, OAuth, SCIM, RBAC).
Preferred Qualifications
- Expertise in cybersecurity (e.g., DSPM, DLP, Cloud Security).
- Hands-on experience with enterprise platforms like Zendesk, Salesforce, ServiceNow, or Jira.
- Experience building service reviews, operational dashboards, and support analytics.
- Relevant industry certifications (e.g., cloud, security).
- Hands-on experience with major cloud platforms and integrations (AWS, Azure, GCP).
- Knowledge of data discovery and data classification concepts.
