About the Job

• Build and ship full SEO and AEO features end-to-end with minimal oversight, from development through experimentation and rollout.
• Design, build, and ship high-quality full-stack features that enhance search engine visibility, AI answer engine performance, and organic traffic with a strong sense of urgency and ownership.
• Apply technical best practices to deliver performant, observable, and cost-aware code that improves traditional search rankings, LLM visibility, and user experience.
• Contribute to data pipelines for SEO and AEO data ingestion, transformation, and delivery, applying simple, reusable abstractions to keep the system healthy as it grows.
• Collaborate with product managers, designers, and marketing partners to translate user needs into technical requirements, surface trade-offs, and deliver on shared goals.

About You

Minimum Qualifications

• 2–4 years of software engineering experience with proficiency in React, Ruby, Python, PostgreSQL, and SQL.
• Demonstrated ability to build and launch complete features end-to-end with minimal oversight, including development, experimentation, and production rollout.
• Experience with distributed systems and data engineering — designing pipelines, optimizing schemas, and ensuring data quality — with exposure to Airflow or DBT.
• Ability to write performant code and improve system observability through logging and metrics, identifying and resolving bottlenecks as they arise.
• Strong product mindset with the ability to translate user needs into technical requirements and understand how your work impacts business metrics.
• Effective communicator who can collaborate across marketing, product, and engineering partners to align on requirements and deliver solutions.

Preferred Qualifications

• Experience working on SEO/AEO initiatives or familiarity with SEO best practices, answer engine optimization for LLMs, structured data (Schema.org), search engine crawling/indexing, and Core Web Vitals.
• Familiarity with how AI-powered search engines and LLMs consume and surface content, with curiosity about optimizing for AI answer generation.
• Experience with big data technologies (Apache Spark, Airflow, Hadoop), NoSQL databases, and data warehousing platforms (Snowflake, Redshift).
• Track record of proactively raising and resolving technical debt to keep code and systems healthy.
• Experience launching experiments and analyzing results, including A/B testing frameworks for measuring SEO/AEO impact.
• Previous experience partnering with marketing teams on growth initiatives in fast-paced startup environments.

Originally posted on Himalayas