# Principal Salesforce Engineer

**Company:** [Attentive](https://hotfix.jobs/companies/attentive)
**Location:** Remote
**Role:** Backend Engineering
**Salary:** $170k – $225k/yr
**Experience:** 7+ years
**Skills:** Salesforce, Apex, Lightning Web Components, Flows, CPQ, Boomi, NetSuite, Visualforce, CI/CD, APIs
**Posted:** 2026-04-28

> Owns architecture, scalability, and evolution of Revenue Technology platform centered on Salesforce. Defines multi-quarter strategy (60%) and implements solutions (40%) using Apex, LWC, Flows, and integrations in high-growth environment. Requires 7-10+ years Salesforce expertise.

## Job Description

## What You’ll Accomplish

### Architecture and Leadership:
- Define and drive the end-to-end architecture of our Salesforce and RevTech ecosystem (**Salesforce**, **CPQ**, billing, integrations, data flows)
- Establish a multi-quarter architectural vision that balances flexibility, scalability, and operational simplicity
- Identify systemic risks and proactively evolve the platform to prevent future constraints
- Collaborate with business stakeholders to design solutions and deliver technical implementations that align with business objectives
- Set the standard for clean architecture, maintainable automation, and scalable system design
- Identify and aggressively reduce tech debt, redundant logic, and fragile implementations
- Provide architectural oversight to prevent poor design decisions and fragmented solutions
- Partner with Financial systems team to develop end to end solutions across **SalesForce**, Integration layer (**Boomi** experience preferred) and **ERP** (**NetSuite** experience preferred)
- Act as a force multiplier—raising the technical bar across the team through mentorship and guidance
- Take ownership of ambiguous, high-impact problems and drive them to clear, scalable solutions
- Balance competing priorities (speed vs. scalability, customization vs. standardization) with strong technical judgment
- Operate with urgency while maintaining a high bar for system quality and durability

### Engineering:
- Design and develop end-to-end **Salesforce** solutions using declarative tools (**Flows**, **Screen Flows**, and Process Automation) and programmatic development (**Apex**, **Lightning Web Components** and **Visualforce Pages**)
- Lead and execute complex system redesigns (e.g., **CPQ**/product modeling, replacing custom logic with native functionality, automation frameworks)
- Support integrations between **Salesforce** and other enterprise applications, ensuring data consistency and smooth system interactions
- Lead **Salesforce** release management and deployment processes, including Sandboxes, Change Sets, and **CI/CD** pipelines
- Troubleshoot and resolve **Salesforce** issues, ensuring system stability and optimal performance
- Document configurations, processes, and technical solutions to support knowledge sharing and maintainability
- Debug and resolve deeply complex issues across systems, integrations, and data layers
- Own end-to-end data integrity and consistency across **Salesforce** and downstream systems and how it impacts reporting

## Your Expertise
- 7–10+ years of experience implementing, configuring, and scaling **Salesforce** environments in complex or high-growth organizations
- Strong hands-on expertise with **Apex**, **Lightning Web Components**, **Flows**, integrations/**APIs**, and data modeling
- Nice to have: **Salesforce** certifications including **SalesForce Certified Platform Developer**, **Platform Developer II**, **Application Architect** and/or **System Architect** (or equivalent depth of experience); **CPQ**/**RCA** experience strongly preferred
- Proven track record of designing and delivering scalable, multi-system architectures
- Experience leading end-to-end system ownership, from architecture through implementation and ongoing optimization
- Experience and deep understanding of the quote to cash process, including complex pricing models and contract lifecycle
- Strong ability to take ambiguous problems and deliver pragmatic, durable solutions
- Deep understanding of data integrity, system reliability, and integration patterns
- Excellent communication and collaboration skills; ability to manage non technical and technical stakeholders
- Champion the intentional integration of **AI** capabilities into solutions
- Demonstrated strong adherence to **SDLC** best practices

**Compensation**: The US base salary range for this full-time position is **$170,000 - $225,000** annually + equity + benefits

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