• Develop and execute a territory plan to drive repeatable revenue within assigned accounts. • Collaborate with account executives to identify and maximize cross-sell opportunities for Securiti AI solutions. • Lead the entire sales process, serving as a trusted advisor, and presenting compelling business cases to customers. • Manage a pipeline of high-value opportunities, ensuring accurate forecasting and CRM discipline. • Expand relationships with key channel partners and resellers to accelerate deal flow and market reach.

• Serve as the primary point of contact for Tier 1 and Tier 2 user technical support requests, triaging issues and resolving or escalating as appropriate • Provision user laptops and administer a company-wide Mobile Device Management (MDM) solution • Manage inventory of physical and digital IT assets • Onboard and offboard users by managing access through Google Admin Console and related tools • Collaborate with third-party vendors and internal stakeholders to support rollout, troubleshooting, and updates of SaaS tools • Assist with Third Party Risk Management (TPRM) reviews, including security research and audit report reviews • Support technical implementation of security controls aligned with NIST SP 800-171, such as logging, SIEM, incident response, and configuration management • Assist with triage of security events, log audits, and incident response processes

• Baseline our control library mapped to SOC 2, PCI DSS, and key fintech obligations. • Implement lightweight evidence collection pipelines for top controls such as access reviews, backup tests, vulnerability management, and CI/CD change management. • Complete a security risk register refresh with likelihood and impact ratings, and publish a quarterly risk report. • Lead our next SOC 2 Type II audit cycle end‑to‑end, including auditor coordination, population requests, and walkthroughs. • Roll out a vendor risk management workflow integrated with procurement and Legal, including tiering, due diligence, and continuous monitoring. • Partner with Engineering to define secure SDLC checkpoints and automate evidence from GitHub, CI, and cloud. • Develop an AI/ML risk assessment framework covering model governance, training data privacy, and shadow AI usage across the organization. • Drive PCI DSS certification readiness, including SoA ownership, internal audits, and management review inputs. • Establish KPI/KRIs and dashboards for control effectiveness and risk trends consumed by execs and customers. • Mature incident response playbooks and conduct at least one cross‑functional tabletop with measurable improvements. • Establish AI governance policies and integrate AI risk into the existing risk register, vendor assessments, and compliance monitoring.

• Manage processes and technologies to implement identity lifecycle operations for AI agents and service principals • Administer RBAC and ABAC policies • Manage credentials used by AI agents • Collaborate with product teams to capture use cases • Assist in investigations and incident response involving autonomous AI agents