Einstein Ai Jobs (NOW HIRING)

Job Summary:
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.
Responsibilities:
• Drive 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 dashboards.
• Contribute 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 reporting.
• Partner 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 continuity.
• Improve 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 phases.
• Identify and implement Inside Sales efficiency gains through streamlined CPQ workflows, Flow-based automation, and Einstein-powered prioritization, reducing manual effort and improving rep productivity.
• Configure and maintain Einstein Lead Scoring and Opportunity Scoring, including model training data hygiene, threshold calibration, and rep adoption enablement.
• Set up and iterate on Einstein Next Best Action recommendations to guide rep behavior at key moments in the sales cycle.
• Configure Einstein Activity Capture to ensure email and calendar data flows accurately into Salesforce, supporting rep productivity and downstream AI model quality.
• Monitor and tune Case Classification performance within Service Cloud based on accuracy feedback from service teams.
• Build and maintain CPQ pricing rules, discount schedules, and product catalog configurations to support accurate, efficient quoting for Inside Sales.
• Develop and optimize quote templates and CPQ output documents to reduce quote generation time and improve the buyer experience.
• Partner with Revenue Operations to identify and resolve CPQ workflow bottlenecks, including approval processes, product bundles, and subscription management.
• Maintain CPQ data integrity, keeping product catalog, price books, and rules synchronized with current business needs and product transitions.
• Write and maintain Apex triggers and Lightning Web Components (LWC) that surface Einstein AI outputs within sales workflows, including scoring visibility, action recommendations, and CPQ integrations.
• Build and manage Salesforce Flow automations that orchestrate Einstein-driven actions, routing logic, and sales process steps without custom code where possible.
• Collaborate with the Salesforce Admin team within the established Gearset DevOps pipeline, working in sandbox, following promotion workflows, and maintaining clean deployment practices.
• Develop dashboards and reports that make Einstein AI outputs actionable, surfacing scoring trends, activity patterns, quote performance, and forecasting signals for Sales leadership.
• Maintain data quality standards within Sales Cloud to ensure Einstein models have clean, consistent inputs, including field hygiene, record completeness, and deduplication practices.
• Document AI model configurations, scoring thresholds, and automation logic to support handoffs, onboarding, and iterative improvement over time.
• Perform unit testing and UAT for Einstein-driven workflows and CPQ changes, verifying model accuracy and preventing unintended behavior before production deployment.
• Monitor deployed AI features post-launch for scoring drift, edge cases, or adoption gaps, and iterate based on rep feedback and data quality signals.
Qualifications:
Required:
• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience.
• 1–2 years of hands-on Salesforce development and administration across Sales Cloud and Service Cloud, with direct experience configuring Einstein AI features and Salesforce CPQ.
• Proficiency in Apex, SOQL, Salesforce Flow, Lightning Web Components (LWC), and Salesforce APIs.
• Working knowledge of Salesforce CPQ including pricing rules, product catalogs, quote templates, and approval workflows.
• Demonstrated experience with Einstein Lead Scoring, Opportunity Scoring, Activity Capture, and Next Best Action configuration.
• Salesforce Administrator certification required.
• Authorized to work in the United States without sponsorship.
Preferred:
• Salesforce Certified AI Associate.
• Salesforce Platform Developer I or Platform App Builder certification.
• Salesforce CPQ Specialist certification.
• Experience with Gearset or equivalent Salesforce DevOps tooling and sandbox management.
• Familiarity with foundational AI/ML concepts including model training inputs, scoring thresholds, and data quality for AI in the context of CRM platforms.
• Experience building Salesforce dashboards and reports for revenue performance and sales analytics use cases.
• Understanding of Agentforce architecture, Einstein Copilot, and Prompt Builder template configuration.
• Experience with Salesforce Data Cloud including data streams, data model mapping, and identity resolution.
• Salesforce Data Cloud or AI Specialist certifications.
• Prompt engineering experience and understanding of responsible AI practices including hallucination prevention and grounding strategies.
Company:
IFIT is a global subscription technology company that provides interactive personal training. Founded in 1977, the company is headquartered in Logan, USA, with a team of 1001-5000 employees. The company is currently Late Stage.