[Remote] Junior Salesforce AI Engineer

Note: The job is a remote job and is open to candidates in USA. iFIT is a company dedicated to creating a holistic health and fitness platform that integrates various elements of health into an interactive experience. They are seeking a Junior Salesforce AI Engineer to enhance their Salesforce platform, focusing on AI tools to improve sales performance and forecasting accuracy through collaboration with cross-functional teams.ResponsibilitiesDrive adoption of Salesforce Einstein AI and CPQ tools to improve visibility into quoting, pricing, and sales performance, delivering actionable insights through opportunity scoring, lead prioritization, and CPQ reporting dashboardsContribute to revenue and contribution margin growth by optimizing CPQ pricing rules, discount guardrails, and quote accuracy, while surfacing pricing trends through Einstein-driven analysis and structured reportingPartner cross-functionally with Sales, Revenue Operations, and the Salesforce Admin team to align product catalog configuration and availability with demand, supporting smooth product transitions and business continuityImprove forecast accuracy by enhancing data visibility through Einstein Opportunity Scoring, Activity Capture, and structured reporting, building the data foundation required for advanced AI-driven planning in future phasesIdentify and implement Inside Sales efficiency gains through streamlined CPQ workflows, Flow-based automation, and Einstein-powered prioritization, reducing manual effort and improving rep productivityConfigure and maintain Einstein Lead Scoring and Opportunity Scoring, including model training data hygiene, threshold calibration, and rep adoption enablementSet up and iterate on Einstein Next Best Action recommendations to guide rep behavior at key moments in the sales cycleConfigure Einstein Activity Capture to ensure email and calendar data flows accurately into Salesforce, supporting rep productivity and downstream AI model qualityMonitor and tune Case Classification performance within Service Cloud based on accuracy feedback from service teamsBuild and maintain CPQ pricing rules, discount schedules, and product catalog configurations to support accurate, efficient quoting for Inside SalesDevelop and optimize quote templates and CPQ output documents to reduce quote generation time and improve the buyer experiencePartner with Revenue Operations to identify and resolve CPQ workflow bottlenecks, including approval processes, product bundles, and subscription managementMaintain CPQ data integrity, keeping product catalog, price books, and rules synchronized with current business needs and product transitionsWrite and maintain Apex triggers and Lightning Web Components (LWC) that surface Einstein AI outputs within sales workflows, including scoring visibility, action recommendations, and CPQ integrationsBuild and manage Salesforce Flow automations that orchestrate Einstein-driven actions, routing logic, and sales process steps without custom code where possibleCollaborate with the Salesforce Admin team within the established Gearset DevOps pipeline, working in sandbox, following promotion workflows, and maintaining clean deployment practicesDevelop dashboards and reports that make Einstein AI outputs actionable, surfacing scoring trends, activity patterns, quote performance, and forecasting signals for Sales leadershipMaintain data quality standards within Sales Cloud to ensure Einstein models have clean, consistent inputs, including field hygiene, record completeness, and deduplication practicesDocument AI model configurations, scoring thresholds, and automation logic to support handoffs, onboarding, and iterative improvement over timePerform unit testing and UAT for Einstein-driven workflows and CPQ changes, verifying model accuracy and preventing unintended behavior before production deploymentMonitor deployed AI features post-launch for scoring drift, edge cases, or adoption gaps, and iterate based on rep feedback and data quality signalsSkillsBachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience1–2 years of hands-on Salesforce development and administration across Sales Cloud and Service Cloud, with direct experience configuring Einstein AI features and Salesforce CPQProficiency in Apex, SOQL, Salesforce Flow, Lightning Web Components (LWC), and Salesforce APIsWorking knowledge of Salesforce CPQ including pricing rules, product catalogs, quote templates, and approval workflowsDemonstrated experience with Einstein Lead Scoring, Opportunity Scoring, Activity Capture, and Next Best Action configurationSalesforce Administrator certification requiredAuthorized to work in the United States without sponsorshipSalesforce Certified AI AssociateSalesforce Platform Developer I or Platform App Builder certificationSalesforce CPQ Specialist certificationExperience with Gearset or equivalent Salesforce DevOps tooling and sandbox managementFamiliarity with foundational AI/ML concepts including model training inputs, scoring thresholds, and data quality for AI in the context of CRM platformsExperience building Salesforce dashboards and reports for revenue performance and sales analytics use casesUnderstanding of Agentforce architecture, Einstein Copilot, and Prompt Builder template configurationExperience with Salesforce Data Cloud including data streams, data model mapping, and identity resolutionSalesforce Data Cloud or AI Specialist certificationsPrompt engineering experience and understanding of responsible AI practices including hallucination prevention and grounding strategiesCompany OverviewIFIT is a global subscription technology company that provides interactive personal training. It was founded in 1977, and is headquartered in Logan, Utah, USA, with a workforce of 1001-5000 employees. Its website is http://www.ifit.com.