Senior Salesforce Engineer at Mercer Advisors
$115,000–$145,000
Jul 22, 2026
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Jul 23, 2026
What this job asks for AI summary
A senior-level Salesforce engineering role focused on designing and building custom solutions — including Apex, Lightning components, and Visualforce — while leading complex integrations across enterprise systems. A significant portion of the work involves implementing AI-driven features using Salesforce Einstein and Agentforce to support automation and analytics. The role also includes mentoring junior developers and collaborating with business stakeholders to translate requirements into technical deliverables. Suits an experienced Salesforce developer with at least five years of hands-on platform development.
Senior level · 5+ years · Remote · Full-time
Pay in the description: $115,000–$145,000
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 3,500 people nationally plausibly meet what this posting asks for (software developers). range 1,000–5,200
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
What the occupation pays Median $138,970 (middle half $107,524–$175,762). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (7)
The posting lists no specific city or office location; it states the role may be in a professional office or a dedicated home office, and Mercer Advisors has a national footprint — treated as remote-eligible with no single CBSA.
A Bachelor's degree in Computer Science, IT, or a related field is listed, but the posting explicitly adds 'or equivalent experience,' so no hard degree requirement is set.
Salesforce Einstein (Einstein Prediction Builder, Einstein Discovery, Einstein Activity Capture, Einstein Bots) and Agentforce are listed as 'strongly preferred,' not required — captured as preferred with Agentforce as an alternative since the posting treats them as interchangeable AI capability options.
Python (Data Engineering) and experience integrating third-party generative AI/LLM services are explicitly called out as 'preferred' or 'a plus' in the posting.
Experience in Wealth Management or Financial Services is preferred, not required — omitted from skills as it is domain knowledge rather than a named technology.
Familiarity with AI/ML concepts (predictive modeling, NLP, recommendation systems) and responsible AI principles are listed as knowledge areas rather than named tools, so they are omitted per extraction rules.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): Salesforce administration.
Read the full posting
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