Junior Salesforce AI Engineer

About the role

iFIT’s vision is to create the world's most holistic health and fitness platform, integrating all elements of health - physical fitness, mental health, nutrition and active recovery - into a seamless interactive experience. We develop proprietary software that learns and adjusts to the habits of each person as it delivers immersive content that guides them on their own individual fitness journey.

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.

Requirements

• 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.
• 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

• 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.
• 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.

Skills

• 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.

Benefits

Not specified

Pay

$60,000 - $70,000 USD

Schedule

Remote in the US