Software Engineering Architect, Salesforce

• 10+ years of experience in software engineering, with at least 3 years as a Software Engineering Architect for large-scale SaaS platforms
• Demonstrated success architecting multi-tenant platforms for massive scale (1M+ users/transactions per day) at both the application and database tiers
• Proven ability to design and implement robust, highly available microservices and distributed systems
• Extensive experience with the full lifecycle of production-grade AI/ML model deployment and MLOps
• A related technical degree required

Desirable

• Spiff, a strategic part of the Salesforce Sales Cloud, is a leader in Incentive Compensation Management (ICM) software, combining intuitive design with a powerful processing engine to drive commissions automation at scale
• Our mission is to provide customers with a trusted platform to increase visibility, supercharge selling, and unlock growth
• This team is on the front lines of integrating a fast-growing, cloud-native application into the world's leading CRM platform
• As a Software Engineering Architect focusing on Spiff, you will be the key technical leader defining and guiding the most critical architectural initiatives for Spiff's platform and services
• Your work will directly ensure the massive scalability, seamless platform integration, and AI-driven efficiency of Spiff's compensation platform within the Salesforce ecosystem
• You will be expected to architect solutions across critical domains, from hyperscale infrastructure design and Hyperforce integration to advanced AI/ML systems for product intelligence
• Define and lead the technical strategy for Enterprise Scaling across the Spiff platform to onboard extra-large customers and handle massive transactional volume, specifically focusing on Incentive Compensation Management (ICM) calculation performance
• Database Tier Scaling: Architect and implement advanced data strategies, including sharding, partitioning, and replication, to enable the database tier to scale horizontally and sustain the immense read/write throughput required by our largest customers
• Application Tier Scaling: Design the application architecture to be highly decoupled, elastic, and leverage cloud-native patterns on Hyperforce (Salesforce's public cloud architecture) for high-performance, low-latency service operation
• Establish system performance benchmarks and optimization roadmaps to consistently achieve industry-leading processing speed for complex compensation plan calculations
• Partner with Salesforce Core Engineering teams to strategically embed Spiff functionality into core and near-core Salesforce components (e.g., Sales Cloud, CRM platform APIs)
• Define the architecture and protocols necessary to enable easier adoption for existing and new customers by making Spiff's features natively accessible within the Salesforce user experience and data model
• Design secure, high-throughput integration patterns (APIs, events, data synchronization) between Spiff’s services and the Salesforce platform, ensuring data consistency and adherence to Salesforce security standards
• Use GenAI and ML architecture to enable proactive insights with respect to sales incentives for customers, such as predicting commission payouts, identifying sales goal misalignment, and recommending optimal compensation plan adjustments
• Integrate Spiff's intelligent services with existing agents in the Salesforce Agentic Framework, ensuring the smooth flow of incentive data and calculated commission results to power CRM workflows and user-facing AI assistants
• Architect and contribute to the GenAI research team to achieve consistently accurate results by implementing sophisticated data augmentation techniques, including Knowledge Graphs, Retrieval-Augmented Generation (RAG), and Vector Databases, to enhance data context and drive model performance
• Successfully architecting the platform to support 5x the current data and transaction volume for new Enterprise customers
• Designing and overseeing the technical embedding of Spiff into core Salesforce products, resulting in a measurable increase in new customer adoption
• Delivering a production-ready GenAI/ML architecture that provides measurable proactive incentives insights and is fully integrated into the Salesforce Agentic Framework