About
Ryan Brady, marketing engineer
Fifteen-plus years leading enterprise search and growth programs, with a parallel habit of building the software around those programs that makes them run. Background in intelligence analysis.
Based on Long Island, NY. This site is the personal home for the work — builds, writing, the stack, the career.
The person behind the braid
A career spent at the intersection of search, growth, and software
Ryan is a marketing engineer — a marketer who builds scalable systems. Fifteen-plus years inside enterprise search and growth programs, with a consistent habit of building the software around the work rather than waiting for someone else to do it.
In addition to the Strategy Director role, the work has transformed into building a wide range of internal tools and workflows across the company — de facto PM throughout: owning roadmaps, scoping requirements, doing the builds, shipping the thing. Marketing-engineer instincts paired with the muscle memory of running product end-to-end.
Before enterprise consulting, he co-founded a DTC e-commerce brand and grew it from zero to acquisition through pure organic strategy — millions in revenue and a social following past 10 million.
Earlier in his career, Ryan did intelligence analyst work for the Society of Former Special Agents of the FBI and completed an intelligence-division internship with the Nassau County Police Department — OSINT research, formal intelligence reports, and analytical frameworks for complex investigations. Those pattern-recognition and rigor habits are the same ones that show up later in the technical work.
Ryan studied Intelligence Studies at Mercyhurst University, one of the top intelligence analysis programs in the country.
Career
Expertise
Capabilities and the kinds of work I've shipped along the way.
Building with AI
AI engineering
Where most of the recent work lives — production AI systems, the tooling around them, and the engineering side of building with LLMs.
Production LLM content systems
Built end-to-end pipelines for content generation — topic discovery, brief creation, drafting, evaluation, and publish-ready output. The shape of the work, not just the model call.
Deterministic AI orchestration
The AI reads, routes, and drafts; plain code owns every number — payment math, dates, contract totals. The split that turns a demo into something an operator can trust.
PDF parsing & form-filling
Text extraction, table parsing, form-field filling, and page rasterization across the messy PDFs real businesses actually produce — scans, forms, and 400-page spec books.
Reverse-engineering legacy formats
Undocumented fixed-column file formats, decoded by diffing exports and validated by round-tripping through the real system. Archaeology, written down so nobody does it twice.
Prompt engineering & context design
Designed prompt structures, context libraries, retrieval flows, and output specifications. Where output quality actually moves — more than model choice.
NLP at scale
Built classification, clustering, summarization, and topic-extraction systems that turned messy text data into the signals product and editorial decisions actually run on.
Product leadership
Building product
The other lens on the work — when the marketing-engineer hat becomes the product-manager hat. Roadmapping, scoping, prioritizing, and partnering with engineering to ship.
Product roadmapping & ownership
Defining product vision and roadmap for SEO, AI-visibility, and brand-monitoring tooling. Translating customer behavior, technical constraints, and business goals into prioritized product work.
Customer + data → product decisions
Turning user behavior, session data, and search-intent research into product hypotheses and shipped features. The 'what to build next' muscle.
Cross-functional team leadership
Working across engineering, design, analytics, and SEO stakeholders. Translating between disciplines and aligning teams around a shared outcome.
Experimentation & measurement
Running A/B tests, defining success metrics, and using outcomes to validate hypotheses and iterate. Pre-decided KPIs over post-hoc storytelling.
Search, visibility & data
Search & data
The career foundation — enterprise search, AEO/GEO, marketing data infrastructure, and the intelligence-analysis methodology that runs underneath all of it.
AEO, GEO & AI-search visibility
Worked on how brands appear across ChatGPT, Perplexity, Gemini, and Google AI Overviews — measuring citation share, accuracy, sentiment, and source coverage.
Reputation management for CEOs & brands
A career of shaping what people find when they search an executive or a brand — owning the first page, displacing what shouldn't rank, and tracking how the story reads across search and AI answers.
AI search measurement & answer-ready content
Measured AI citations, brand mentions, and answer presence across generative answer engines — running measurement pilots, evaluating AI-visibility tools, and building the answer-ready content frameworks (FAQs, buying guides, comparisons, LLM-readable experiences) that earn the citation.
Global content strategy & search-demand roadmaps
Turned search demand and customer intent into prioritized, measurable content roadmaps — content gap analysis, localization-aware templates, and center-of-excellence operating models that keep quality consistent across markets and regional teams.
SEO program leadership: vendors, tooling & KPIs
Ran the program layer of enterprise search — vendor and agency relationships (statements of work, budgets, deliverables), the tooling stack from Search Console and Bing Webmaster Tools to enterprise crawlers, and the KPI frameworks that connect visibility to qualified traffic and revenue.
Enterprise & technical SEO
Fifteen-plus years inside the technical layer of how big sites work in search — crawlability, indexation, canonicalization, redirects and robots directives, JavaScript rendering, structured data and JSON-LD, web performance, and the launch QA and site migrations where all of it gets tested at once.
Operator & founder
Marketing operator
The other half of marketing engineering — the operator skills that ship growth: DTC founder credential, organic growth, content, lifecycle, and exec-level communication.
0-to-1 founder experience
Co-founded and grew a DTC e-commerce brand from zero to acquisition. Five years running organic growth, content, and lifecycle marketing — the operator side of the work.
Document-workflow automation
Word, Excel, and PDF pipelines for operators who live in Office, not web apps. The deliverable is a document that looks like their office produced it — because their templates did.
Operator-first tooling
Business rules live in files the operator can edit in Excel — never buried in code that needs a developer. The person who knows the business maintains the business logic.
Organic growth strategy
Grew a DTC brand from zero to acquisition on pure organic — content, SEO, owned channels, no paid spend. Built the earned-channel playbook that compounded into the exit.
Content strategy & editorial governance
Built editorial frameworks at enterprise content scale — taxonomy, intent design, source-of-truth mapping, brand voice, and the governance layer that keeps a hundred-piece-per-quarter program coherent.
Lifecycle marketing & email
Grew a DTC list to 300,000+ segmented subscribers with full lifecycle automation — welcome flows, abandoned-cart, post-purchase, win-back. The retention-compounding side of growth.
Recommendations
What colleagues say
Pull-quotes from people I've worked alongside — leaders, peers, and the folks I mentored.
Ryan sees the full system, connects dots others miss, and elevates strategy with a clarity and precision that's rare. He doesn't just solve problems — he reframes them in ways that change the trajectory.
The AI tools he's built have reshaped how our entire team works. They've saved us hundreds of hours. He builds sophisticated solutions faster than anyone I've seen.
Ryan identifies inefficiencies nobody else sees and invents smarter systems to fix them. The automation work he's done has allowed our team to focus on higher-value priorities and accelerated our impact dramatically.
Ryan's presence elevates meetings, deliverables, thinking, and morale. He's the partner everyone wants on their team — steady, strategic, supportive, and deeply committed to shared success.
Ryan fosters collaboration and creates safe spaces for questions. His mentorship has boosted the confidence and capabilities of everyone on the team. Ryan makes the impossible feel achievable.
Consistently goes above and beyond — showing up in urgent moments, stepping in when needed, and always delivering exceptional results. Ryan's reliability and responsiveness are unmatched.
Side projects
Things I build for myself
The projects that never had a brief — stuff I made because the problem was mine to solve.