SpyCloud

Security Engineer

• Design, implement, and operate cloud security controls across production and internal environments (primarily AWS).
• Own cloud posture management workflows (risk-based triage, exception handling, and automated remediation).
• Build and maintain secure-by-default templates and modules (standards, defaults, account structure, secret management, segmentation).
• Embed policy-as-code and IaC security controls into CI/CD (PR checks, drift detection) to prevent misconfigurations.
• Reduce external and cloud risk by:
• Own attack surface discovery/governance and baseline edge protections (e.g., WAF/rate limiting).
• Drive automation for triage/remediation and operational efficiency by reducing repeat misconfigurations/toil (triage, routing, dedupe, validation, reporting).
• Standardize cloud logging/telemetry and ensure it integrates cleanly into detection/IR workflows.
• Work cross-functionally with Product, IT, DevOps, and Engineering to drive best practices and improve baseline security across the whole org.
• Create pragmatic documentation, runbooks, and enablement materials that help teams self-serve, safely.
• Support cloud/edge incident response: containment playbooks, root cause, and follow-up fixes.
• Lead design reviews and threat models for platform/infrastructure (networking/segmentation, service-to-service access, secrets/encryption, logging/monitoring).
• Drive continuous improvement of processes, procedures, and tools used across the security engineering organization.

Senior Security Engineer, Cloud Security

• Design, improve, and maintain secure, durable, and performant infrastructure to power applications, security tooling, log collection, and data mining/ETL workflows.
• Evolve log collection, processing, and storage infrastructure enabling security monitoring and investigations.
• Support multi-account and multi-region AWS networking architectures with security-first principles.
• Develop and maintain Splunk detection content aligned to the relevant frameworks and evolving threat intelligence.
• Administer the Splunk Cloud platform, including search health, log health, and app, platform, and content updates.
• Design and implement SOAR playbooks to automate investigation and response workflows.
• Integrate infrastructure security tooling and automation to enhance detection, prevention, and response capabilities.
• Build and maintain detection-as-code and automated deployment pipelines to ensure consistency, repeatability, and auditability.
• Continuously refine detection logic to reduce false positives and increase signal quality.
• Implement and operate security technologies across the enterprise, such as an endpoint security platform.
• Support incident response and investigation escalations.
• Proactively meet standards for information security and compliance, such as SOC 2/ISO27001.
• Implement and uphold security measures across all infrastructure components.
• Work cross-functionally with Product, IT, DevOps, and Engineering teams to drive secure-by-default practices.
• Drive architectural and design decisions for SpyCloud’s detection program and platforms.
• Mentor junior engineers and establish best practices across infrastructure and detection engineering domains.

Senior Security Engineer

Customer Success Manager

• Maintain solid industry knowledge and a comprehensive understanding of SpyCloud products and services.
• Develop, nurture, and monitor effective communication channels with customers and internal teams to support customer and internal goals.
• Create, execute, and oversee action plans to track customer activities and projects, ensuring engagement by appropriate parties throughout.
• Continually capture and monitor customer business drivers to ensure optimal solutions and further customer engagement with SpyCloud products/services.
• Identify upsell opportunities based on customer needs or new product rollouts.
• Deliver growth by assuring usage, renewals, post-sales success, loyalty, expansion, and new product adoption.
• Inform and report account status to the Customer Success Director, Team Lead.

Backend Engineer

• Architect and implement customer-facing data and intelligence APIs with clear versioning, SLAs, and backward compatibility.
• Define and enforce API contracts for: Low latency, high throughput endpoints; Agentic workflows (tools, actions, state transitions, handoffs); Context retrieval and enrichment.
• Design APIs as durable platform interfaces, not thin wrappers over storage systems.
• Establish standards for schema governance, payload design, and service boundaries.
• Architect service layers that support agentic workflows, including orchestration interfaces, guardrails, and runtime observability.
• Build API surfaces that expose model outputs safely and consistently.
• Collaborate with MLEs and Data Scientists to move models from experimentation into robust inference services.
• Ensure proper lifecycle management, monitoring, and rollback mechanisms for ML-powered endpoints.
• Design and implement service layers that sit on top of the gold-layer system of record.
• Build and evolve context hubs derived from authoritative systems of record, enabling consistent entity, identity, or risk context for downstream services.
• Ensure APIs are aligned with medallion architecture principles and platform data contracts.
• Prevent fragmentation by maintaining strong coupling to canonical schemas and governed data models.
• Design high-throughput, low-latency services supporting batch and streaming workloads.
• Implement scalable infrastructure patterns on AWS.
• Ensure strong observability, error handling, performance tuning, and cost awareness.
• Drive infrastructure-as-code practices and production readiness standards.
• Serve as a senior architectural voice in design reviews.
• Raise the bar on code quality, system design, and operational rigor.
• Mentor engineers on API design, distributed systems, and ML integration patterns.
• Influence platform direction through technical depth rather than organizational authority.

Principal Software Engineer – Next-Generation API, AI Platform Architecture

Revenue Operations

• Develop and execute a post-sales enablement strategy aligned to customer lifecycle goals: implementation success, adoption, value realization, expansion, and renewals.
• Partner with Product Success and Customer Success leadership to identify gaps, friction points, and enablement opportunities across the customer journey.
• Build and maintain post-sales playbooks covering onboarding, implementation milestones, adoption motions, health checks, renewal readiness, and expansion opportunities.
• Enable CS and PS teams on consistent execution of lifecycle plays, including handoffs from Sales and collaboration with SEs and Product.
• Translate evolving product capabilities into clear post-sales processes and customer-facing workflows.
• Own or contribute to high-quality technical documentation in partnership with Product Success and Engineering (e.g., implementation guides, integration patterns, usage workflows).
• Ensure internal-facing documentation is accurate, accessible, and aligned with how teams actually work in the field.
• Help standardize demo artifacts, technical walkthroughs, and customer-facing enablement materials used post-sale.
• Partner with Revenue Enablement and CS leadership to operationalize value realization frameworks across the customer lifecycle.
• Support development and adoption of value models, success plans, and customer-facing ROI narratives tied to SpyCloud use cases.
• Enable CS teams to confidently position realized value during QBRs, renewals, and expansion conversations.
• Design and deliver enablement programs (live and asynchronous) for CS and PS teams, including onboarding, role-specific training, and ongoing readiness initiatives.
• Reinforce consistent messaging around implementation outcomes, adoption success, and value realization.
• Partner with Enablement Ops to track adoption, readiness, and effectiveness of post-sales enablement programs.
• Work closely with Product, Product Marketing, Sales Engineering, RevOps, and Revenue Enablement to ensure alignment across pre- and post-sales motions.
• Act as a connective tissue between teams to ensure customer-facing execution reflects strategy, product direction, and revenue goals.

Senior Revenue Enablement Manager, Product Success, Customer Success

Content Marketing Manager

• Content ideation: Contribute content ideas to enhance marketing programs and sales outreach, and help guide stakeholders with content recommendations based on strategic objectives and core distribution channels.
• Multi-format content creation & repurposing: Write content consistent with our brand tone and voice, and optimized for search and user experience across formats – reports, blog articles, case studies, guides, emails, and more – to support buyer education, consideration, deal acceleration, and customer retention & uplift.
• Content optimization: Apply SEO/AEO strategies to maximize content reach and discoverability.
• Content audits: Perform regular content audits to identify where new content is needed and opportunities to repurpose or refresh existing content.
• Cross-collaboration: Support the product marketing team with content specific to SpyCloud solutions areas and customer industry verticals.
• Content library management: Co-manage content library via third-party tool.
• Reporting: Work with leadership to report on strategic content KPIs and adapt strategies based on performance.

Senior Security Engineer, Cloud Security

Senior Security Engineer

Customer Success Manager

Principal Software Engineer – Next-Generation API, AI Platform Architecture

Senior Revenue Enablement Manager, Product Success, Customer Success

Content Specialist