• You will run 4–5 qualified sales presentations per day over Zoom with decision-makers. • The sales cycle is 2 calls: Call 1 is discovery and qualification. • Call 2 is a customized proposal and close. • Your monthly target is 6-8 closed deals. • Our team writes the proposal, and you schedule the close.

• Serve as the outsourced CISO for 8–12 clients, providing executive-level security leadership on a fractional basis • Conduct security risk assessments, gap analyses, and penetration testing oversight for prospective and current clients • Develop and maintain security programs, policies, and incident response plans tailored to each client's risk profile and regulatory environment • Manage compliance frameworks including SOC 2, HIPAA, PCI-DSS, CCPA, NIST CSF, and CMMC • Present security posture, risk exposure, and remediation roadmaps to boards of directors, C-suites, and audit committees in clear, business-oriented language • Oversee and leverage AI-driven security tooling for vulnerability scanning, log analysis, threat detection, and compliance evidence collection • Quarterback incident response when clients face active threats or breaches, coordinating forensics, legal, communications, and remediation • Collaborate with RMC's reputation management team to deliver integrated crisis response when security events create reputational exposure • Participate in business development — joining sales conversations, scoping engagements, and helping close new cybersecurity retainers • Recruit, manage, and mentor junior analysts as the practice scales • Build standardized methodologies, reporting templates, and delivery playbooks that allow the practice to scale without sacrificing quality

Role Description WWT Digital's AI-Native Security Feedback Loop offering (DIG-MLS-01) requires someone who sits at the exact intersection of AI engineering and security. You will help clients design, test, and harden AI agent deployments, build automated vulnerability feedback loops into SDLC workflows, and establish monitoring frameworks for model behavior in production. You will work with the Digital AI delivery team and WWT Security on joint engagements targeting enterprise engineering orgs deploying agentic AI at scale. Responsibilities - Assess AI and agent system architectures for security exposure — prompt injection paths, tool misuse, data exfiltration vectors, identity sprawl - Design and implement NHI (Non-Human Identity) governance frameworks for AI agents, service accounts, and API credentials - Build adversarial test suites for LLM-based applications — red-teaming agents, jailbreak testing, context injection scenarios - Integrate security feedback loops into AI development workflows: model evaluation gates, output monitoring, anomaly detection - Define and implement MLSecOps practices: model signing, provenance, fine-tune data validation - Support OWASP Agentic Top 10 gap assessments alongside WWT Security architects - Develop reusable patterns and accelerators that can be packaged into repeatable WWT offerings Qualifications - 4–7 years software or ML engineering, with at least 2–3 years focused on AI/ML security specifically - Working knowledge of LLM application architecture: RAG, tool use, agent orchestration frameworks (LangChain, LlamaIndex, CrewAI, or similar) - Hands-on with adversarial ML techniques: prompt injection, data poisoning, model inversion, evasion attacks - NHI security: service account hygiene, secrets rotation, OAuth/OIDC for machine-to-machine auth - Security monitoring for AI in production: behavioral baselines, output anomaly detection, audit logging - Experience with AI governance frameworks: NIST AI RMF, ISO/IEC 42001, emerging EU AI Act controls - Can write code — Python at minimum, comfortable with LLM SDKs and agent frameworks - Bonus: red team or penetration testing background applied specifically to AI systems - Bonus: prior consulting experience; able to present to CISO and CTO audiences simultaneously Requirements - Ability to work collaboratively with cross-functional teams - Strong analytical and problem-solving skills - Excellent communication and presentation skills Benefits - Health and Wellbeing: Health, Dental, and Vision Care, Onsite Health Centers, Employee Assistance Program, Wellness program - Financial Benefits: Competitive pay, Profit Sharing, 401k Plan with Company Matching, Life and Disability Insurance, Tuition Reimbursement - Paid Time Off: PTO and Sick Leave (starting at 20 days per year) & Holidays (10 per year), Parental Leave, Military Leave, Bereavement - Additional Perks: Nursing Mothers Benefits, Voluntary Legal, Pet Insurance, Employee Discount Program

• Managing the entire pre-sales lifecycle, from initial conversation, demo, POV, RFP, Competitive analysis and support the post sales conversation • Interacting with different stakeholders, both internally and externally, such as partners, customers, salespeople, product management and leadership • Developing, implementing, and optimizing technical sales processes and methodologies • Evangelizing best practices and always keep up with new API and Web application cybersecurity challenges • Being the technical and API security expert for our customers and partners • Attending and presenting at various events and providing high-quality solution design documents