Sr. Business Systems Engineer (Salesforce & AI)

Awardco•Lindon, UT

8h•Onsite

About The Position

Awardco is seeking a Senior Business Systems Engineer with deep Salesforce expertise and a passion for AI-driven innovation to join their System Operations team in Lindon, Utah. This is a high-impact, senior technical individual contributor role responsible for designing and scaling the systems that power Awardco's operations, particularly across Salesforce, integrations, automation, and AI-enabled workflows. The role involves acting as both a builder and architect, owning end-to-end system design and implementation for complex, cross-functional business processes. The ideal candidate thrives on solving complex systems challenges and is excited about building the next generation of AI-augmented business operations.

Requirements

5+ years in Salesforce / Business Systems / Revenue Systems Engineering
Deep Salesforce expertise (Sales Cloud, Service Cloud; CPQ and RCA strongly preferred)
Proven experience designing complex, multi-system architectures
Strong understanding of system integrations (APIs, middleware, event-driven architecture — including emerging AI connectivity patterns such as MCP (Model Context Protocol) servers and tool-use APIs that enable LLMs to act across business systems.)
Strong understanding of data modeling and workflow design, including semantic layers that expose business data in formats AI models can reliably query and reason over.
Strong understanding of 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 Haves

Salesforce certifications including Platform Developer I or II; Application Architect or System Architect strongly preferred; Salesforce AI Associate or AI Specialist a plus.
Experience with enterprise integration platforms (Workato, MuleSoft, etc.)
Familiarity with data platforms (Snowflake, dbt, etc.)
Exposure to AI systems, agents, or LLM-powered workflows
Experience designing RevOps / GTM system architecture at scale

Responsibilities

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.