Staff Software Engineer, User Targeting

What you'll do

• Architect and build large-scale real-time systems, including extending the ClickHouse pipeline with new filters and attributes.
• Own segmentation systems and product outcomes from definition through launch, improving 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.
• Ability to drive architecture and major technical initiatives; strong software design, data structures, and algorithms fundamentals.

Nice to have

• Familiarity with Ruby, Ruby on Rails, TypeScript, React, Sidekiq, and SQL/NoSQL databases.
• Experience with MongoDB, ClickHouse, Snowflake, data lakes, Kubernetes, AWS, GCP, or Azure.

Pay

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

Tools

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

AI focus

The team uses agentic AI tools in its development workflow to explore its Ruby monolith, create proofs of concept, and move from requests to working solutions. The posting also describes Braze’s AI-powered customer engagement platform, but does not specify that building AI features is part of this role.