AI Visibility Manager

Melissa is building a more deliberate program for how the company is represented across AI-generated answers, technical search and discovery, and the broader information surfaces that influence buying decisions. We are looking for a technically fluent, externally credible program owner who can connect AI visibility, technical content, authority signals, and cross-functional execution.

This is not an AI model-engineering role and it is not traditional SEO with a new label. The job is to make Melissa easier for AI answer engines and technical evaluators to resolve, understand, trust, and recommend by improving technical evidence, third-party authority, machine-readable content, and the accuracy of the public narrative.

Own Melissa’s AI visibility / GEO / AEO program: benchmark priority buyer and technical prompts, track how Melissa and competitors appear, identify citation and narrative gaps, and turn findings into a measurable roadmap.

Modernize the technical story: help create clearer documentation, tutorials, comparisons, code samples, SDK/package-manager guidance, and answer-first content that reduces friction for technical evaluators and implementers.

Partner with Data, Product, and Programming groups to modernize technical documentation, tutorials, comparisons, code samples, SDK/package guidance, and answer-first content that reduces friction for technical evaluators and implementers.

Build third-party authority: identify credible directories, review platforms, technical publications, roundups, case studies, benchmarks, and other surfaces where Melissa should be accurately represented.

Monitor competitive and reputation issues: spot misleading or outdated technical narratives, coordinate fast factual responses, and help design transparent, reproducible comparisons or benchmarks.

Measure the program: maintain a dashboard and prioritized backlog covering AI answer inclusion, source/citation patterns, competitive share of voice, documentation improvements, and shipped technical fixes.

2+ years of relevant experience across technical content or documentation, technical product marketing, SEO/AEO/GEO, developer advocacy/marketing, or a closely related function. A blended background is welcome.

Technical fluency with API-based products and technical workflows—comfortable with Git Hub, REST APIs, SDKs, package managers, JSON, Markdown, code samples, and web documentation.

Excellent technical writing and editing skills, with the ability to turn complex capabilities into precise, plain-English explanations, tutorials, comparisons, and evidence-backed claims.

Strong analytical instincts and curiosity: able to design repeatable tests, interpret noisy AI/search results, identify patterns, prioritize interventions, and measure whether changes are working.

Credibility and judgment in public technical and professional communities. You know the difference between useful participation and promotional posting, and you are comfortable representing a company transparently.

Strong cross-functional program management skills. You can move work forward across Marketing, Product, Engineering, Web, IT, Sales, Support, and leadership.

Experience with data quality, address verification, geocoding, identity/contact data, data integration, SaaS APIs, or adjacent technical infrastructure products.

Hands-on familiarity with structured data, schema.org / JSON-LD, knowledge graphs, Wikidata, web analytics/log analysis, review platforms, or AI-answer monitoring tools.

Experience creating technical benchmarks, head-to-head product comparisons, reference implementations, or technical education content.

Baseline AI visibility, competitor…