Senior Generative Search Specialist
| Company | Golden Hippo |
|---|---|
| Location | Canoga Park, Los Angeles, CA, USA |
| Salary | $89000 – $112000 |
| Type | Full-Time |
| Degrees | |
| Experience Level | Senior |
Requirements
- 5+ years of experience in SEO, data science, machine learning, AI product development, or other technical digital fields.
- At least 1 year of hands-on SEO experience (technical or content-focused), or strong familiarity with SEO fundamentals like schema markup, internal linking, and E-E-A-T.
- Strong Python skills and basic model fine-tuning experience required.
- Familiarity with Pandas, SQL, REST APIs, and tools like LangChain or LlamaIndex is a plus.
- Hands-on experience with machine learning models and ability to translate insights into non-technical language.
- Familiarity with A/B test design and ability to analyze outcomes using tools like Tableau, Looker, or Streamlit.
- Knowledge and experience using statistical modeling techniques (e.g., Bayesian methods or uplift modeling).
Responsibilities
- Define the Playbook: Develop frameworks for how to rank in AI-driven search experiences—then translate those into clear, quarterly action plans for content, tech, and SEO teams.
- Build the Tools: Write Python scripts to monitor AI-generated answers at scale, classify results for sentiment and accuracy, and flag any brand misses or hallucinations.
- Experiment & Measure: Prototype and test generative content blocks—like ‘FAQ copilots’ or data-rich snippets—to boost our visibility, click-through rates, or share of voice.
- Train the Bots: Help fine-tune LLMs and build embedding collections so our internal tools echo our brand message and stay compliant with regulatory needs.
- Tell the Story: Build an executive-facing dashboard showing our brand’s share of voice across AI platforms, backed by clean data and clear insights.
Preferred Qualifications
- Experience manipulating knowledge graphs or working on entity-focused SEO, preferred.
- Bonus: Experience with entity SEO, vector databases (e.g., Pinecone, Weaviate), or large-scale scraping with tools like Spark or BigQuery.