Software Engineer, Growth - Paid Ads & Acquisition
ChimeSan Francisco, CA, USAUp to $184kPosted 30 March 2026
Job Description
About the Role
Chime’s Growth Engineering team is focused on building product experiences that directly move business metrics and help millions of people achieve financial progress. Within Growth, the Paid Ads Acquisition Engineering team owns the systems that power user acquisition at scale - from marketing data pipelines to attribution and spend optimization. You’ll directly influence how Chime deploys and optimizes hundreds of millions in paid media spend.
As a Growth Engineer on this team, you will work at the intersection of product, data, and marketing. You’ll build and maintain data-intensive systems that enable efficient paid acquisition, power experimentation, and unlock new growth channels such as partnerships and incentives. This role is well-suited for engineers who enjoy working with data pipelines, distributed systems, and ambiguous problem spaces where measurement and iteration are critical.
The base salary offered for this role and level of experience will begin at $133,000 and up to $184,000. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.
In this role, you can expect to:
Build and scale backend services, data pipelines, and APIs that power Chime’s paid acquisition and marketing systems
Develop and maintain integrations with major ad platforms (Meta, Google, TikTok, Affiliate etc), including conversion APIs, reverse ETL pipelines, Airflow workflows, and data integrations that enable campaign execution and measurement
Partner closely with marketing, data science, analytics, and product teams to improve acquisition efficiency and performance
Design measurement systems for LTV/CAC, attribution, and incrementality
Support and evolve incentive and partnership platforms that drive new user acquisition channels
Rapidly prototype and iterate on experiments that improve conversion, CAC efficiency, and downstream user quality
Analyze system and campaign performance post-launch to inform optimizations and strategy
Improve reliability, scalability, and observability of data and backend systems
Contribute to a culture of technical excellence through code reviews, mentorship, and best practices
To thrive in this role, you have:
3+ years of experience building scalable software or data systems in production environments
Experience with backend development (Ruby on Rails, Golang, or similar) and/or data infrastructure
Familiarity with data pipelines, orchestration tools (e.g. Airflow), and modern data stacks
Experience designing APIs and working with databases, event streams, or data warehouses
Interest in or exposure to marketing systems such as attribution, paid ads platforms, or growth analytics
A strong product and metrics mindset, with a focus on experimentation and measurable impact
Comfort working across the stack and navigating ambiguity in fast-moving environments
Strong collaboration and communication skills with cross-functional partners
Bonus:
Experience with reverse ETL tools such as Hightouch
Background in growth engineering, paid acquisition, or marketing tech (MarTech) systems
Experience with attribution modeling, incrementality testing, or spend optimization systems
Exposure to incentive platforms or partnership integrations
#LI-Hybrid #LI-SB1
A little about us
At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential.
We're a team of problem solv ... (truncated, view full listing at source)
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