Staff Software Engineer, User Targeting

What you'll do

• Design and build large-scale real-time systems, including extending the ClickHouse pipeline with filters and attributes.
• Own customer-facing product development and improve core segmentation systems’ performance, reliability, and cost-effectiveness.
• Provide technical leadership, mentor engineers, collaborate across teams, and improve operational procedures.

What they ask for

• 7+ years of professional software engineering experience, including hands-on full-stack or backend work with high-scale, high-throughput systems.
• Track record delivering customer-facing products on high-scale data systems, from problem definition through launch and adoption.
• Track record building foundational data-driven systems at scale, such as streaming, real-time pipelines, or large-scale data platforms.
• Technical leadership and deep understanding of software design, data structures, and algorithms.

Nice to have

• Familiarity with Ruby, Ruby on Rails, TypeScript, React, Sidekiq, SQL/NoSQL databases, MongoDB, ClickHouse, Snowflake, or data lake solutions.
• Experience with Kubernetes, AWS, GCP, Azure, distributed systems, API design, or monitoring.

Pay

$184,000 and $314,079 annually USD (base salary); $204,000 - $348,000/year USD (OTE, including bonus or commission)

Tools

ClickHouse, Ruby, Ruby on Rails, TypeScript, React, Sidekiq, MongoDB, Snowflake

AI focus

The team uses agentic AI tools throughout product delivery to navigate its Ruby monolith, create proof of concepts, and move from requests to working solutions. The role also involves improving systems and researching technologies, but no specific AI product-building duties are stated.