Staff Salesforce Engineer

Ibotta is looking for a Staff Salesforce Engineer to join our innovative team and contribute to our mission to Make Every Purchase Rewarding. As a Staff Salesforce Engineer, you will set the technical direction for a growing team of Salesforce engineers and administrators organized into domain aligned squads. You will own architectural decisions across the platform and drive engineering practices that scale as the team grows.

You will collaborate with other engineers, product managers, and designers to enhance our use of Salesforce and its integrations with our rewards content creation platforms, rewards content distribution platforms, and billing and budgeting platforms. Salesforce at Ibotta goes beyond CRM and is a critical part of our technical landscape as we make every purchase rewarding for our savers and transform performance marketing for our clients.

This position is available in multiple locations:

Denver, Colorado - if you are in or willing to relocate to the Denver area, this is a hybrid position requiring 3 days in office (Tuesday, Wednesday, and Thursday).
 

Remote options are available for the following states - AZ, AR, CA, FL, GA, IL, IN, IA, KS, MD, MA, MI, MN, MO, MT, NV, NJ, NY, NC, OH, OK, PA, TN, TX, UT, VA, WA, WI. If you’re not in the Denver metro area or the listed states, relocation reimbursement to Denver is available.

Not based in Denver? We will offer a relocation bonus to help make your move to the Mile High City a smooth one.

What you will be doing:

• Define and drive the technical architecture for the Salesforce platform across multiple squads, balancing new capability delivery against tech debt reduction

• Establish engineering standards, code review practices, and development patterns that work across a team of varying skill levels including embedded contractors

• Mentor and develop other Salesforce engineers, building team capability rather than concentrating knowledge

• Own cross squad technical decisions for integrations between Salesforce and Ibotta's rewards content, distribution, and billing platforms

• Identify opportunities to apply AI and automation to Salesforce development workflows, and guide the team on when agentic approaches are appropriate vs. traditional ones

• Partner with engineering managers, product managers, and architecture leaders to define and execute the Salesforce platform technical roadmap

• Reduce system complexity in codebases and drive simplification that the whole team can maintain

• Develop new automation and integrations with the Ibotta platform that support business requirements

• Build new user experiences consisting of custom objects, workflows, validations and formulas while adhering to Salesforce best practices

• Implement and troubleshoot integrations between Salesforce and the Ibotta platform that accurately transfers data between multiple systems, including external systems

• Manage and improve the Salesforce DevOps process including efficient deployment processes,  expectations for code, and managing sandbox environments using Copado, Git and Jira

• Keep current new Salesforce features and functionality, providing recommendations for improvements, and teaching others

• Provide high quality, reliable, scalable and high-throughput solutions

• Create and maintain technical documentation on integrations with the platform

• Embrace and uphold Ibotta’s Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency, & A good idea can come from anywhere

What we are looking for:

• 8+ years of Salesforce engineering experience with demonstrated impact in a technical leadership role influencing architecture and practices across teams

• Bachelor’s degree in Computer Science, Engineering, Analytics or a related field required

• Salesforce development experience with Apex and Lightning Web Components

• Salesforce development experience with CPQ

• Solid understanding of overall Lightning architecture and Salesforce data model

• Experience setting technical direction and defining engineering standards for teams of 10+, including mixed skill levels

• Familiarity with AI-assisted development practices and the judgment to evaluate where automation adds value vs. introduces risk

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