Our mission is to open the door to the life-changing impact of education. We build market-leading, online college credit and test-preparation solutions that help working adults earn their degrees, advance their careers, and achieve economic mobility. Recognized by Fast Company and GSV 150 as one of the world’s most innovative education companies, we are also at the forefront of AI-first learning, combining artificial intelligence with the latest learning science to improve access and outcomes at scale.
Our product is our impact. Through our Keys to College and Keys to the Classroom initiatives, we have saved students over $700 million in tuition and enabled hundreds of thousands of learners to pursue and succeed in careers across nursing, teaching, counseling, business, and other high-demand fields. We are deeply focused on measurable outcomes and building products that create meaningful, lasting change in people’s lives.
Study.com is looking for a strategic and data-driven SEO & Generative Search Manager. This role combines deep SEO expertise with forward-thinking leadership in AI-powered and generative search environments. You’ll work cross-functionally with product, engineering, BI, and content teams to drive scalable organic growth, while also leading experimentation and reporting around AI Overviews, SGE, and emerging search platforms such as ChatGPT, Gemini, Perplexity, and more.
What You’ll Do:
- Lead SEO and AIO experiments with measurable goals, analyze results, and delivery performance reports to leadership with actionable insights
- Own the creation of dashboards to monitor SEO KPIs including rankings, CTR, impressions, and Core Web Vitals
- Manage key technical SEO assets, including XML sitemaps, robots.txt, canonical tags, and structured data
- Conduct advanced technical SEO audits and implement improvements in crawlability, indexation, structured data, and performance
- Optimize structured content (e.g. metadata schemas, llms.txt, semantic markup) to influence LLM citation likelihood
- Drive Study.com’s AIO strategy by researching inclusion factors in AI Overviews and testing structured content formats
- Implement and optimize schema types (e.g., FAQ, Q&A, HowTo) for Answer Engine Optimization, featured snippets, and LLM discoverability
- Explore and deploy AI-powered SEO tools for automating metadata generation, content gap detection, and keyword clustering
- Own and evolve the SEO roadmap based on data trends, algorithm changes, and business priorities
What You’ll Bring to the Role:
- 5-8 years of experience in SEO with demonstrated success across audits, implementation, and performance analysis
- Deep knowledge of tools like Google Search Console, Ahrefs, Screaming Frog, SEMrush, and schema testing utilities
- Experience implementing schema for snippets and AI visibility (e.g., FAQ, Q&A, HowTo)
- Ability to communicate complex SEO concepts to cross-functional teams (e.g., Engineering, Product, and Content)
- Hands-on experience in generative search platforms and LLM behavior
- Strong grasp of structured data, canonicalization, Core Web Vitals, and scalable QA workflows
- Proficiency with Tableau or similar data platforms preferred
At
Study.com, we know that strong communities are built on the power of our diversity, and we respect and strive to understand for the diverse identities, race, ethnicities, backgrounds, and perspectives of our team members. Our work and company culture have been consistently recognized, including:
- Inc. Best Place to Work
- Fortune Great Places to Work – Best Workplaces in the Bay Area
- Golden Bridge Awards – Gold Winner, Corporate Social Responsibility
- San Francisco Business Times & Silicon Valley Business Journal – Best Places to Work
Study.com provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran or disability status. In addition to federal law requirements.
Study.com complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. Additionally, qualified applicants with arrest and conviction records will be considered for the position in accordance with applicable state and local laws.
