# JD Capture: Citations.io | AI Visibility for Modern Search - VP of AI

- Generated: 2026-09-17 11:50 AM EDT
- Provider: LinkedIn
- Canonical URL: https://www.linkedin.com/jobs/view/vp-of-ai-at-citations-io-ai-visibility-for-modern-search-4465998560
- Job ID: 4465998560
- Company: Citations.io | AI Visibility for Modern Search
- Title: VP of AI
- Work model/location: Full-time remote leadership role; LinkedIn header location United States
- Posting time: Sep 16, 2026 11:50 AM EDT (LinkedIn showed 23 hours ago at fetch time)
- Elapsed time since posting at fetch: approximately 23 hours
- Applicants: Be among the first 25 applicants
- Posting state: LinkedIn page displayed "No longer accepting applications"
- Compensation: Not disclosed
- Travel: Not disclosed

## Normalized JD

Company Description
Citations.io | AI Visibility for Modern Search is an AI citation intelligence platform that helps brands understand how they appear across AI-generated answers from leading engines such as ChatGPT, Gemini, Claude, and Perplexity. As AI search becomes a primary discovery channel, Citations.io provides visibility and insight beyond traditional SEO and analytics tools. The platform monitors AI responses, benchmarks competitor visibility, analyzes citations and source influence, and surfaces recommendation opportunities. Citations.io converts this intelligence into implementation-ready actions across content, SEO, digital PR, authority building, and citation optimization. Built for marketers, SEO teams, agencies, and growth leaders, the company enables users to measure AI visibility, identify gaps, and generate clear optimization plans and reports.

Role Description
The VP of AI is a full-time, remote leadership role responsible for defining and executing Citations.io's AI strategy and roadmap. This role oversees the design, development, and deployment of AI models and systems that power citation tracking, AI visibility scoring, competitor benchmarking, and recommendation engines. Day-to-day responsibilities include leading cross-functional AI and data teams, setting technical standards, reviewing architecture and model performance, and ensuring scalable, privacy-conscious, and reliable AI infrastructure. The VP of AI collaborates closely with product, engineering, marketing, and customer-facing teams to translate market needs into actionable AI features and experiments. This role also involves staying ahead of developments in AI search, building partnerships with AI platforms, and communicating AI vision and progress to executive leadership and key stakeholders.

Qualifications
Strong foundation in Computer Science, including algorithms, data structures, distributed systems, and software engineering best practices.
Applied Data Science skills, with experience in statistical modeling, machine learning pipelines, experimentation, and data-driven product development.
Expertise in Pattern Recognition and Natural Language Processing (NLP), including large language models, text analytics, and information retrieval.
Advanced Analytics capabilities, such as designing metrics, building dashboards, and interpreting complex data for non-technical stakeholders.
Proven leadership experience directing AI or ML teams, setting strategy, and delivering production-grade AI solutions at scale.
Experience with modern ML tooling and cloud platforms (e.g., Python/Scala, ML frameworks, MLOps, data warehouses, and workflow orchestration).
Background in search, SEO, recommender systems, ad tech, martech, or related domains is highly beneficial.
Excellent communication and collaboration skills, with the ability to operate effectively in a remote, distributed environment.
Advanced degree in Computer Science, Data Science, AI/ML, or a related field, or equivalent practical experience.

## Fit Gate

Positioning track: Executive leader.

Weighted evidence score before hard-gap check: 89% (56/63).

Fit outcome: FAIL.

Reason: the canonical LinkedIn posting displayed "No longer accepting applications," which is a hard availability gap under the fit-gate rule for closed postings. No resume, cover letter, or LinkedIn outreach snippet was generated.

## Evidence Map

| Requirement | Weight | Score | Keith evidence |
|---|---:|---:|---|
| Define and execute AI strategy/roadmap | 3 | 3 | Defined AI strategy, product vision, architecture, commercialization roadmap, and engineering execution for Intelligent DataWorks. |
| Lead AI/data teams and set technical standards | 3 | 3 | Recruited, trained, and led 11 AI engineers at IDW; led 8 engineers plus a manager at SuccessKPI; built AWS AI/ML technical communities. |
| Production AI systems at scale | 3 | 3 | Architected AssistX production GenAI platform with 70+ automations across 20+ workflows; delivered production WFM SaaS and enterprise data platforms. |
| LLMs, NLP, information retrieval | 3 | 3 | Built RAG, vector search, embeddings, LLM applications, LangChain/LangGraph, and labor-law Q&A retrieval in AssistX. |
| Data science, experimentation, analytics | 2 | 3 | Delivered forecasting/optimization at SuccessKPI, enterprise analytics at TriMark, and AWS ML customer architecture guidance. |
| Cloud/MLOps/tooling | 3 | 2 | Hands-on AWS, SageMaker, Bedrock, Python, FastAPI, PostgreSQL/PGVector, Docker, CDK, MLOps, evaluations, and observability. |
| Search/SEO/recommender/ad-tech/martech domain | 1 | 2 | Adjacent evidence from AI-driven marketing drip campaigns, retrieval/search, competitor/market-facing AI product work, but no explicit SEO or recommender-system operating history. |
| Executive communication and cross-functional collaboration | 3 | 2 | Advised 200+ AWS enterprise customers and worked with product, HR domain experts, marketing, executives, and customer-facing teams. |

## Direct-Match Strengths

- VP-level AI/ML and executive AI strategy background, including VP of AI/ML at NorthBay and Technical Co-Founder & CEO at Intelligent DataWorks.
- Hands-on production GenAI platform leadership: LLMs, RAG, vector search, LangChain/LangGraph, AI agents, PostgreSQL/PGVector, AWS, evaluations, and workflow orchestration.
- Team-building and cross-functional leadership, including recruiting/leading 11 AI engineers and advising executive/customer stakeholders.
- Strong cloud, MLOps, data, and analytics foundation from AWS, IDW, SuccessKPI, TriMark, and MassMutual.

## Gaps and Caveats

- Hard gap: LinkedIn showed the posting as no longer accepting applications.
- Compensation was not disclosed.
- Travel was not disclosed.
- SEO, AI search visibility, recommender systems, ad tech, and martech are adjacent rather than deeply source-supported domains for Keith.
- Advanced degree requirement is covered by Keith's Ph.D. plus extensive practical AI/ML experience, but not by a CS/Data Science degree.

## Artifact Metadata

- JD capture: generated and published.
- Resume PDF: not generated because fit outcome is FAIL due closed posting.
- Cover letter PDF: not generated because fit outcome is FAIL due closed posting.
- LinkedIn connection note: not generated for FAIL outcome.
- Google Drive: not used.