Job descriptionRole Overview
The
Director – Product & Cloud Security
owns the strategy, architecture, and execution of
security across the product lifecycle and cloud platforms , ensuring that Odessa’s SaaS products are
secure by design, compliant by default, and resilient at scale .
This role leads
Product Security, Cloud Security, and AI Security integration
efforts, working closely with Engineering, Architecture, Product Management, DevOps/SRE, Compliance, and Legal teams. The Director is accountable for embedding security controls into modern cloud‑native architectures while supporting regulatory compliance, customer assurance, and business growth.
What You'll Do:
1. Product Security Leadership Define and execute the
Product Security strategy
across design, development, testing, release, and operations. Embed security into
SDLC and CI/CD pipelines , ensuring consistent adoption across engineering teams. Lead
threat modeling, secure architecture reviews, and design risk assessments
for new and existing product capabilities. Govern
application security testing programs , including: SAST, DAST, and SCA Infrastructure‑as‑Code (IaC) and API security testing Own
product vulnerability management , including prioritization, remediation SLAs, and customer‑facing disclosures. Partner with Product and Engineering leadership to ensure security supports
speed, scale, and innovation .
2. Cloud & Platform Security Own security architecture and posture for
cloud‑native SaaS platforms hosted on Microsoft Azure . Define and enforce
cloud security guardrails
across: Identity & access management (IAM, MFA, PAM) Network security, WAFs, and segmentation Encryption, key management, logging, and monitoring Lead
Cloud Security Posture Management (CSPM)
and continuous configuration assurance. Oversee security for
containers, Kubernetes, APIs, and microservices . Ensure effective integration and use of core security platforms, including: Azure Security Center / Defender FortiGate Firewall & FortiWeb WAF CyberArk (PAM) Lacework (CSPM) Sumo Logic (SIEM) Datadog (APM & monitoring) CrowdStrike (endpoint & workload protection) Tenable (vulnerability management)
3. AI Security & Secure AI Integration (New – Core Accountability) Define and own the
AI Security strategy
for product features leveraging AI/ML and GenAI capabilities. Ensure AI features are designed and deployed in line with
Responsible AI, privacy, and security‑by‑design principles . Partner with Product and Engineering teams to: Perform
AI threat modeling
(model abuse, prompt injection, data leakage, training data risks). Establish
guardrails for AI usage , including data classification, access controls, and output validation. Govern security controls for: Training data protection and lineage Model integrity and lifecycle management Secure integration of third‑party AI services and APIs Align AI security practices with: Internal
AI Security and Responsible Use policies Emerging regulations and frameworks (e.g., EU AI Act, NIST AI RMF, data protection laws) Act as a key member of the
AI Governance Committee , providing security and risk leadership.
4. Governance, Risk & Compliance (Product & Cloud Scope) Ensure product and cloud controls meet
ISO 27001/27017, SOC 2 Type II, GDPR, DPDPA , and customer contractual requirements. Support
customer security reviews, RFPs, audits, and due‑diligence
activities. Translate regulatory and contractual obligations into
practical, auditable technical controls . Maintain strong documentation, evidence, and metrics for audits and certifications.
5. Incident Response & Security Operations Act as a senior escalation point for
product and cloud security incidents . Ensure effective detection, response, root‑cause analysis, and post‑incident improvements. Partner with SOC and engineering teams to improve
mean‑time‑to‑detect and remediate .
6. Leadership & Team Management Build, lead, and mentor
Product Security and Cloud Security teams . Define team charters, KPIs, and maturity roadmaps. Drive a culture where
security is a shared responsibility , not a gatekeeper. Represent Product & Cloud Security in
executive, customer, and board‑level discussions .
Basic Qualifications :
Required 12+ years in
product security, application security, or cloud security , with 5+ years in leadership roles. Strong hands‑on and architectural experience with
Azure‑based SaaS platforms . Deep understanding of
secure SDLC, CI/CD security, cloud‑native architectures , and modern DevSecOps practices. Proven experience operating tools such as
SAST/DAST/SCA, CSPM, SIEM, PAM, WAFs , and vulnerability management platforms. Experience supporting
SOC 2 / ISO 27001 audits
and enterprise customer security assessments. Ability to communicate security risk effectively to
engineering leaders, executives, auditors, and customers .
Preferred Qualifications
Experience in
FinTech, financial services, or highly regulated SaaS environments . Exposure to
AI/ML security, GenAI risk management, and AI governance .