EverHealth - Sr Salesforce Administrator / Architect (Remote, US)

Sr Salesforce Admin/Architect - EverHealth

EverCommerce (Nasdaq: EVCM) is a leading service commerce platform, providing vertically-tailored, integrated SaaS solutions that help more than 745,000 global service-based businesses accelerate growth, streamline operations, and increase retention. Its modern digital and mobile applications create predictable, informed, and convenient experiences between customers and their service professionals.

With its EverPro, EverHealth, and EverWell brands specializing in Home, Health, and Wellness service industries, EverCommerce provides end-to-end business management software, embedded payment acceptance, marketing technology, and customer experience applications. Learn more at EverCommerce.com.

We are building an extraordinary company and looking for talented, energetic, and motivated people to join our team.

EverHealth is hiring a senior, generalist Salesforce Administrator / Architect for the Business Operations team. This is the deep-platform Salesforce role for EverHealth - owning configuration, automation, deployments, integrations, and system health across our Salesforce orgs and the broader operational tech stack, with particular depth in our Salesforce + Zuora quote-to-cash stack (Zuora CPQ X and Zuora Billing).

This person handles the complex, cross-system, and architecture-level work that keeps the platform healthy for every team that touches it, and sets the change-management standards the rest of the org builds against.

Salesforce-first but tool-agnostic - comfortable owning multiple orgs and Gearset-driven deployments, thinking in terms of system architecture and downstream impact, and ramping fast on new platforms as the stack evolves. Reports to Business Operations (Automation Architecture).

What you'll own

• Quote-to-cash across Salesforce and Zuora: Zuora CPQ X configuration (product catalog, quote templates, pricing and amendment/renewal flows), the Salesforce Zuora Billing sync, and the Flows and data model that connect them - in partnership with Billing.
• Day-to-day configuration and architecture across our Salesforce orgs (production and sandboxes): objects, fields, page layouts, record types, validation rules, formula fields, Flows, and automation.
• Deployments and release management in Gearset - CI/CD pipelines, metadata comparisons, and rollbacks - alongside Salesforce DX and GitHub version control; owns change-management and governance standards for the shared org.
• The operational tech stack - HubSpot, ChurnZero, Chili Piper, Gong, Outreach, ZoomInfo - owning field mappings, sync rules, lifecycle logic, and structural integration changes.
• Bulk data operations and tooling (Data Loader), plus data-quality standards and monitoring.
• AI-assisted development - building and embedding AI solutions and partnering on an AI-forward dev pipeline (Claude Code/Cowork, AWS Bedrock).
• Reporting and dashboards, plus supplemental BI (Looker/Tableau) as needed.
• Living documentation: field inventory, Flow catalog, report index, and integration runbooks, with rollback notes on every change.

What we're looking for

• 5+ years of Salesforce administration/configuration, ideally in a complex or multi-team environment.
• Hands-on Zuora CPQ (CPQ X preferred) and Zuora Billing experience integrated with Salesforce - quoting, product catalog, subscriptions/amendments, and troubleshooting the Salesforce Zuora sync.
• Hands-on Gearset experience - building and running deployment pipelines, metadata comparisons, and rollbacks - plus Salesforce DX and GitHub-based version control.
• Salesforce Certified Administrator (ADM 201) required; Advanced Administrator or Platform App Builder strongly preferred.
• Deep experience with Flows, validation rules, formula fields, record types, and the full data model (Lead/Contact/Account/Opportunity plus custom objects).
• Multi-org Salesforce experience with an architecture-level view of design and downstream impact.
• Integration experience across the GTM/CS tool stack and a track record of learning new tools quickly.
• Bulk data tooling and data-quality management.
• Demonstrated experience building and deploying AI solutions with tangible outcomes; familiarity with Claude Code/Cowork or equivalent.
• Strong communicator, comfortable with loose ownership on a small, collaborative team.

Nice to have

• Salesforce CPQ (Revenue Cloud) exposure in addition to Zuora.
• Advanced certifications (Platform Developer I) or Apex/SOQL literacy.
• Healthcare SaaS or regulated-industry data experience.
• BI tools (Looker, Tableau).

Additional information

Where: The EverCommerce team is distributed globally, with teams in the U.S., Canada, the U.K., New Zealand, and Australia. With a widely distributed team, we are used to working remotely across different time zones. This role can be based anywhere in the United States. Candidates based in the Chicago area will work hybrid, meeting with the team in person 1-2 days per week. Candidates elsewhere in the U.S. will work remotely.

Please note that you must be eligible to work without sponsorship to qualify for this position, and this role may require travel to our Corporate Headquarters in Denver, Colorado, or to other office locations around North America.

Benefits and Perks

• Flexibility to work where/how you want within your country of employment - in-office, remote, or hybrid
• Continued investment in your professional development
• Day 1 access to robust health and wellness benefits, including an annual wellness stipend
• 401k with up to a 4% match and immediate vesting
• Flexible and generous (FTO) time-off
• Employee Stock Purchase Program

Compensation

The target base compensation for this position is $110,000 to $130,000 USD per year in most US locations. Final offer amounts are determined by multiple factors including location, local market variances, and candidate experience and expertise, and may vary from the amounts listed above.

EverCommerce uses approved artificial intelligence ("AI") tools to support its business operations. Employees are encouraged to use authorized AI tools, when appropriate for their roles, to improve efficiency, quality, and innovation. All AI use must comply with company policies, including requirements concerning confidentiality, data security, intellectual property, accuracy, and human review. Employees remain responsible for reviewing and validating AI-assisted work.