Careers
Engineers who build governed Salesforce AI.
Full-stack work and end-to-end ownership — from the data foundation through grounded agents and go-live. No junior bench: the person who scopes it builds it. If that's how you like to work, we'd like to meet you.
Why DHI Dynamics
Build governed AI on the Salesforce platform.
No layers between you and the work. You'll own real outcomes for real clients — the data foundation, grounded agents, and everything built around them.
Real ownership
Small teams, direct client contact and work that matters — no junior bench, no busywork.
Full-stack work
The whole Salesforce platform plus the custom software, integration and AI/ML built around it.
End-to-end
Scope it, build it, ship it — then stay to measure and refine what you delivered.
Remote-first
Flexible, outcome-driven and trusting by design, with founder-led direction.
Open roles
Where you could fit.
Don't see your exact role? Email us anyway — we hire for talent and curiosity, not just a title.
Each role opens a pre-filled email to careers@dhidynamics.com. Attach your CV and a short note — a senior person reads every one.
Where your AI runs
A trust boundary you can actually defend.
The hard part of enterprise AI isn't the model. It's keeping the reasoning on your governed data instead of shipping it to tools you don't control. We engineer that in from the first phase, not bolt it on at the end.
“Your AI runs inside Salesforce’s trust boundary. We don’t pipe your data out to third-party AI tools. Agentforce operates on your governed Salesforce data, under the Einstein Trust Layer, with your permissions, sharing rules, and audit trail.”
One honest caveat: Integration (MuleSoft, Data 360) moves and federates data through governed, audited connectors, by design and under your control. What stays on-platform is your AI and its reasoning.
Salesforce engineers, not a bench
Computer-science engineers who do the Salesforce work: the data model, the flows, the sharing rules, the Agentforce build. The people who scope it stay on it through go-live.
Inside the trust boundary
Agentforce reasons over your governed Salesforce data under the Einstein Trust Layer, with your permissions, sharing rules and audit trail. Your CRM isn't copied into a third-party AI tool to do its work.
Evidence, not a demo
A named, evidence-gated method. Agents are scored against a held-out eval set before go-live, and you keep the kill-switch, permission matrix and audit log.
Tell us what you want to build.
No formal opening that fits? Reach out anyway with a few lines on the kind of work you do best — we keep strong people in mind as engagements come up.