Cybersecurity AE moving into AI sales
You sell cybersecurity tooling today and your company added an AI product (or you joined an AI-native security company). The course teaches the AI-specific layer on top of the discipline you already have.
Cybersecurity and Applied AI career intelligence
© 2026 Bespoke Intermedia LLC
Founded by Julian Calvo, Ed.D., M.S.
DecipherU · Course
AI Sales and Solutions Engineering Mastery
A 16-module sales program for sellers, sales engineers, and solutions architects entering the AI vendor market. Teaches the DecipherU Method, built on primary peer-reviewed research (Aristotle and Cicero on rhetoric, Follett 1924 + Walton & McKersie 1965 on negotiation, Rogers 1957 on empathic understanding, Cialdini et al. 1975 on reciprocity, Asch 1956 on conformity). The AI-specific application layer is the differentiator. 50 hours of study plus a 38-57 hour capstone with rubric.
What completing this course actually does for your comp
BLS OES May 2024 + Lightcast 2024 AI premiumTarget role after completion
AI Solutions Engineer
Base comp band: $157K–$190K (BLS median ± Enterprise tier).
With AI fluency (this course)
$190K–$206K
+15% to +25% lift on AI-fluent postings (Lightcast 2024).
Time investment
~60 hours
Self-paced. Most learners ship the capstone within 8–12 weeks of focused study.
What this replaces
Pricing posture
Standalone: $497. Bundled inside Operator ($129/mo) and Frontier ($299/mo), pays for itself if you would buy 3+ standalone courses.
Course author
Julian Calvo, Ed.D., MBA, M.S.
Founder of DecipherU. Enterprise B2B sales background, MBA in Marketing, doctoral research in Applied AI for cybersecurity. Reviews the first 100 capstones personally.
After the course you can run a Fortune 500 cybersecurity AI deal cycle with the rigor of a top 0.1% AE plus the technical credibility to clear AI-specific buyer concerns.
Run a complete enterprise AI deal cycle
Prospect to close to expansion using the synthesized methodology, applied to cybersecurity AI products selling into Fortune 500 buyers.
Qualify with the discipline of a top 10% AE
Eight-condition qualification spine, force-ranked pipeline, clean walk-away criteria. No more deals closing on hope.
Conduct discovery that surfaces business pain
Diagnostic conversations that quantify economic impact and produce decision-grade qualification, not pipeline theater.
Multi-thread enterprise deals across 5 to 10 stakeholders
Economic, technical, AI ethics, security, procurement, legal. Engagement maps that compound across quarters.
Run C-suite engagement with insight, not pitch decks
Executive insight presentations grounded in the customer's filings, AI strategy, and stated priorities.
Handle the full AI-specific objection set
Hallucination, model bias, data privacy, vendor lock-in, frontier model dependency, governance compliance, prompt injection, training data provenance.
Negotiate AI deals with the right contractual posture
Usage-based pricing, model risk indemnification, data ownership, output ownership, deprecation clauses, and AI Act compliance language.
Build account plans and territory strategy that compounds
Quarterly account planning, weekly pipeline review, monthly forecast hygiene. The operations layer that makes the rest of the course pay off.
Sixteen modules cover the full cycle: practitioner identity, AI buyer landscape, discovery inquiry, buyer-readiness qualification, multi-threading, executive engagement, AI objections, proof of value, principled negotiation, expansion, pipeline, and account planning. Module 16 is a live deal capstone evaluated against the published rubric.
The DecipherU Method synthesizes eight pillars from primary sources rather than from contemporary trademarked methodologies. Each pillar names its source so practitioners know what they are learning, where it came from, and which discipline applies when.
You sell cybersecurity tooling today and your company added an AI product (or you joined an AI-native security company). The course teaches the AI-specific layer on top of the discipline you already have.
You sell AI products and want top 10% rigor. The course gives you the DecipherU Method, qualification scorecards, and the AI-specific objection playbook your team does not yet have.
You have the technical credibility. You need the AE craft. The course teaches the discovery, qualification, multi-threading, and executive engagement that turn pre-sales depth into closed revenue.
Required
Recommended
Reviews
Reviews from the first cohort arrive Q2 2026. Capstones in the top 10% may be anonymized into case studies with explicit permission from the practitioner.
B2B sellers, sales engineers, and solutions architects moving into cybersecurity AI sales. Best fit is 2 to 10 years of complex B2B sales experience selling to Fortune 5000 buyers. Cybersecurity sellers expanding into AI security tooling fit the program directly.
Self-paced. Roughly 50 hours of focused study across 16 modules plus a 38 to 57 hour capstone deliverable. Most practitioners finish modules in 8 to 12 weeks at 4 to 6 hours per week, then evaluate the capstone against the published rubric.
Full access to all 16 modules, every template (account plan, qualification scorecard, multi-threading plan, executive deck, PoV charter, objection playbook), and the capstone workspace with self-evaluation rubric and verifiable credential issuance.
Approved capstones earn the AI Sales and Solutions Engineering Mastery verifiable credential, signed with Ed25519 and embeddable on LinkedIn. The credential is renewable through one continuing-practice exercise per year.
Working LLM literacy as a user is enough. The course teaches you to talk to AI engineers credibly: RAG vs fine-tuning, foundation model economics, agent architectures, and evaluation frameworks. You do not need to write Python to pass.
The DecipherU Method, our proprietary synthesis grounded in primary sources: Aristotle's Rhetoric and Nicomachean Ethics for persuasion and practical wisdom, Cicero and Quintilian on argument structure, Mary Parker Follett's 1924 integrative negotiation work, Walton and McKersie's 1965 behavioral theory of labor negotiations, Carl Rogers's 1957 peer-reviewed work on empathic understanding, Cialdini, Vincent, Lewis, Catalan, Wheeler, and Darby (1975) on reciprocal concessions, Asch (1956) on social influence, and Festinger (1957) on cognitive dissonance. The course makes the synthesis explicit so practitioners know which discipline applies when, instead of presenting an eclectic house method.
Yes. Module 5 covers selling AI security and Module 11 covers procurement and legal for AI deals. Security review (with AI-specific gates) is treated as a deal stage, not an afterthought. AI-specific contractual posture, model risk indemnification, and AI Act compliance language are covered in the negotiation modules.
Yes. Seven-day full refund from purchase, while you have completed less than 10% of the course. Email support@decipheru.com with your order number; refunds process within 3 business days. After 7 days or above 10% completion, refunds are case-by-case. A refund triggers a 90-day lockout on re-purchasing this course or subscribing to a tier that bundles it.
First cohort enrollment opens Q2 2026. Public reviews from completed practitioners will appear here once the first cohort finishes the capstone. Capstones in the top 10% may be anonymized into case studies with explicit permission from the practitioner.
Editorial markdown lessons paired with founder-recorded video, knowledge checks (5 to 10 questions per module, 80% pass), exercises with self-grading rubrics, role-play simulations with AI counterparties, and a multi-section capstone workspace with file uploads.
This course is part of a packaged path
Each path bundles the curriculum sequence, the compensation delta it unlocks, and the recommended courses (this one is on the list). If you are not sure which path matches your starting point, the 2-minute AI Risk Score routes you to the right one.
Sales rep → cybersecurity sales pro
Sell cybersecurity to enterprise buyers.
The enterprise cybersecurity sales track for working AEs and SEs entering the security-vendor market.
$135K OTE → $250K-$450K OTE · open path →
Sales rep → AI sales engineer
Sell AI to enterprise buyers.
The AI sales mastery track for working AEs and SEs entering the AI-vendor market.
$135K OTE → $290K-$485K OTE · open path →
Cybersecurity Sales Mastery
The cybersecurity-specific sales playbook. Pair with AI Sales Mastery for the complete cybersecurity AI seller.
$497
AI Engineering Mastery
Build the technical depth to sell to AI engineers credibly. RAG, fine-tuning, evaluation frameworks.
$697
AI Security Operations Mastery
The cybersecurity-AI angle. Helps SE-track sellers run the security review on AI deals.
$697
Course content is for educational purposes only and does not constitute professional advice. All claims are supported by cited peer-reviewed academic research. DecipherU does not teach or reproduce any proprietary sales methodology. Verify all referenced sources independently.