Awardco
Employee Experience
Sr.BusinessSystemsEngineer(Salesforce&AI)
“Sr. Business Systems Engineer (Salesforce & AI) at Awardco. Skills: Salesforce architecture, AI-driven workflows, System integrations. Own Salesforce architecture. Evolve integrated systems ecosystem”
Industry & Context.
Complex systems challenges; Systems thinking; Root cause analysis
What They're Looking For.
Must Have
5+ years Salesforce, 5+ years Business Systems Engineering, 5+ years Revenue Systems Engineering, Deep Salesforce expertise, Experience designing complex multi-system architectures, Experience with system integrations, Experience with data modeling, Experience with workflow design, Experience with automation at scale, Experience in high-growth SaaS environments, Experience in enterprise environments, Systems thinking ability
Nice to Have
Sales Cloud expertise strongly preferred, Service CPQ expertise strongly preferred, RCA expertise strongly preferred, Salesforce certifications, Platform Developer certification, Application Architect certification, System Architect certification, Salesforce AI Associate a plus, AI Specialist a plus, Experience with enterprise integration platforms, Experience with Workato, Experience with MuleSoft, Familiarity with data platforms, Familiarity with Snowflake, Familiarity with dbt, Exposure to AI systems, Exposure to AI agents, Exposure to LLM-powered workflows, Experience designing RevOps system architecture, Experience designing GTM system architecture
What You'll Do.
Own Salesforce architecture
Evolve integrated systems ecosystem
Design scalable data flows
Design scalable workflows
Design scalable system integrations
Lead cross-system initiatives
Build automation frameworks
Maintain automation frameworks
Architect AI-driven workflows
Implement AI-driven workflows
Establish best practices
Uphold best practices
Influence architecture standards
Influence governance practices
Partner on system design
Partner on cross-functional initiatives
Reduce operational complexity
How You'll Work.
Team & Collaboration
RevOps teams; Marketing Ops teams; Data teams; Product teams; Engineering teams
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