Sr. Business Systems Engineer (Salesforce & AI)

Awardco is reimagining the workplace to be more rewarding, supportive, and fun for everyone. As one of the fastest-growing companies in the employee experience industry, our mission is to help employees love what they do, love where they work, and get recognized for their efforts—especially our own employees! And as winners of Glassdoor’s Best Places to Work, Best in Brightest in the Nation, and Great Place to Work, we do much more than talk the talk.

Awardco is looking for a Senior Business Systems Engineer with deep Salesforce expertise and a passion for AI-driven innovation to join our System Operations team in Lindon, Utah. This is a high-impact, senior technical IC role responsible for designing and scaling the systems that power how Awardco runs, especially across Salesforce, integrations, automation, and AI-enabled workflows. You will operate as both a builder and architect, owning end-to-end system design and implementation across complex, cross-functional business processes.

If you thrive on solving complex systems challenges and are excited about building the next generation of AI-augmented business operations, we want to hear from you.

What You Will Do

: Own and evolve Awardco's Salesforce architecture and integrated systems ecosystem, serving as a technical authority on design, scalability, and integration strategy. Design scalable, enterprise-grade data flows, workflows, and system integrations that support multiple business functions across GTM, Revenue, and Customer Operations. Lead complex, cross-system initiatives end-to-end — spanning Salesforce, RevOps tools, and data platforms — from scoping and architecture through delivery and documentation.

Build and maintain automation frameworks across GTM and customer lifecycle workflows that teams can rely on without manual intervention. Architect and implement AI-driven workflows and system augmentations — production-grade solutions that surface insights, automate decisions, and reduce friction, not standalone experiments. Establish and uphold best practices for system reliability, observability, and governance — including monitoring, alerting, and incident response across critical business systems.

Influence roadmap, architecture standards, and governance practices the broader team builds on. Partner with RevOps, Marketing Ops, Data, Product, and Engineering teams on system design and cross-functional initiatives. Reduce operational complexity through deep process and systems redesign, replacing workarounds and tribal knowledge with systems that just work.

This is not a Salesforce admin or configuration-only role — it is a systems architecture and engineering role embedded in the business. ) Data modeling and workflow design, including semantic layers that expose business data in formats AI models can reliably query and reason over. Automation at scale (Flow, Apex, or equivalent tools) Experience working in high-growth SaaS or enterprise environments where systems must scale rapidly and cross-functional alignment is critical to delivery.

Strong systems thinking with the ability to operate at both strategic and execution levels — including knowing when to apply deterministic automation versus AI-based reasoning, and how to evaluate AI tooling trade-offs in a production context. Comfortable leading ambiguous, high-complexity technical initiatives, including early-stage AI integration work where best practices are still emerging.

Nice To Have

Qualifications

: Salesforce certifications inc