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The Marketing Enablement & Technology (MET) team sits within Instacart's Marketing organization, building the systems, data pipelines, and platforms powering Instacart's growth. Operating at the intersection of Marketing, Product, and Engineering, we own the platforms behind campaign feeds, audience targeting, event pipelines, and QA automation. We're seeking a Senior Software Engineer for the Technical Search Visibility pod to lead initiatives that enhance Instacart's search engine visibility and drive organic traffic - one of our most substantial growth levers. You'll design scalable systems improving SEO performance across millions of web pages, architect robust data pipelines, and work across the full stack to ensure our platform is discoverable by millions of users. You'll lead projects end-to-end, drive technical direction, mentor engineers, and partner closely with Marketing and Product leadership to shape technical and product strategy.

• Lead complete SEO and AEO projects independently, defining experimentation, development, and rollout strategies across multiple systems with minimal guidance.
• Design, build, and ship high-quality full-stack features that enhance search engine visibility, AI answer engine performance, and organic traffic with urgency, efficiency, and ownership.
• Architect scalable, robust solutions applying deep technical knowledge to optimize for traditional search rankings, LLM visibility, user experience, performance, and cost efficiency.
• Design and maintain efficient data pipelines for SEO and AEO data ingestion, transformation, and delivery, while identifying and solving root problems in search visibility through reusable abstractions.
• Partner directly with Marketing and Product stakeholders to influence features and requirements, making well-reasoned trade-offs between complexity, business value, and delivery timelines, while mentoring junior engineers and driving team productivity.

• 5-8 years of software engineering experience with expert-level proficiency in React, Ruby, Python, PostgreSQL, and SQL.
• Proven track record of leading complete projects end-to-end, including architecture design, implementation, experimentation, and production rollout.
• Strong experience with distributed systems and data engineering - designing pipelines, optimizing schemas, and ensuring data quality - with experience in Airflow or DBT.
• Demonstrated ability to design for performance, scalability, and robustness, with experience implementing comprehensive observability solutions (logging, metrics, tracing).
• Strong product thinking with the ability to influence product direction and make strategic trade-offs balancing technical and business considerations.
• Excellent communication skills with a proven ability to mentor engineers, drive cross-team alignment, and translate technical concepts for diverse stakeholders.

• Direct experience with SEO/AEO initiatives or deep understanding of SEO best practices, answer engine optimization for LLMs, structured data (Schema.org), search engine crawling/indexing, and Core Web Vitals.
• Understanding of how AI-powered search engines and LLMs consume and surface content, with experience optimizing for AI answer generation.
• Experience with big data technologies (Apache Spark, Airflow, Hadoop), NoSQL databases, and data warehousing platforms (Snowflake, Redshift).
• Track record managing technical debt strategically and leading system modernization efforts.
• Experience with cloud cost optimization and A/B testing frameworks for measuring SEO/AEO impact.
• Previous experience partnering with marketing teams on growth initiatives in fast-paced startup environments.

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