Process Forward Salesforce Engineer

SMBHD•Chicago, IL

13d

About The Position

SMBHD is a boutique Salesforce consulting firm focused on small and mid-market businesses. They operate with small, focused delivery pods, seeking engineers who enjoy broad ownership, direct client interaction, and the autonomy to shape solutions from initial discussion to deployment. This role is ideal for individuals who want a short path from understanding a problem to solving it.

Requirements

1 - 3 years delivering Salesforce solutions end-to-end, from requirements through go-live
Strong Apex, Flow, LWC, and declarative configuration
Experience leading client-facing discovery, requirements gathering, and stakeholder workshops
REST/SOAP API design and integration experience
3+ Salesforce certifications (Admin, PD1, App Builder, or relevant Cloud certs)
GIT and CI/CD experience
Excellent communication across both technical and business audiences
Bachelor's degree in CS, MIS, Business, or equivalent experience

Nice To Haves

Hands-on experience with Agentforce, Einstein, or Salesforce AI products
Prompt engineering or LLM application experience
5+ Salesforce certifications
Experience delivering end-user training and change management
Background across multiple Salesforce clouds — Sales, Service, Communities, Marketing

Responsibilities

Run discovery sessions and requirements workshops directly with client stakeholders — translating messy business problems into clean, buildable solutions
Design and deploy AI-powered workflows, agents, and automations on the Salesforce platform — Agentforce, Flow, Apex, LWC
Architect integrations between Salesforce and client systems across REST/SOAP APIs and data pipelines
Own data migrations from legacy systems into Salesforce
Deliver end-user training and drive adoption so clients don't just go live — they actually use what you built
Work across 2–4 active projects with your pod, context-switching with intention and keeping every engagement moving
Contribute to SMBHD's delivery playbooks by bringing real-world patterns back from the field
Support scoping and estimates as engagements develop