Senior Technical Consultant

Perficient•Town and Country, MO

7d•$90,000 - $120,000

About The Position

This is a platform engineering role on Marketing Cloud Engagement, working across clouds with Salesforce Core. The consultant builds and owns marketing platform components—including journeys, automations, data, and content—and is accountable for reviewing and approving submitted work. The position is part of a long-term, AI-first Salesforce program for a Fortune 50 global automotive manufacturer, delivered by a distributed team across Salesforce Core, Marketing Cloud, Data 360, and Agentforce. The consultant is expected to direct AI-assisted work, verify and correct generated output, explain and defend decisions to clients, and learn new systems as program needs evolve. The role combines technical implementation with client-facing consulting. It requires Marketing Cloud Engagement implementation and integration experience, use of AI tools in delivery, clear communication with technical and non-technical audiences, and the ability to lead demos and UAT sessions. Perficient describes its work environment as collaborative and offers competitive compensation, paid time off, holidays, and rewards and recognition programs. The reasonable estimated base salary range is $90,000 to $120,000 across U.S. locations. The stated range is not adjusted for state differentials and excludes benefits and potential equity or variable bonus programs.

Requirements

4–6 years of relevant experience, including client-facing consulting.
Marketing Cloud Engagement implementation experience with journeys, automations, data extensions, and AMPscript.
Experience integrating Marketing Cloud Engagement with Salesforce Core.
Marketing Cloud Email Specialist or Marketing Cloud Developer certification.
Demonstrated, current use of AI tools in delivery work.
Strong written and spoken communication skills and the ability to explain complex topics to technical and non-technical audiences.
Ability to critically review and correct AI-generated work and take accountability for approved output.
Ability to learn new clouds, languages, or tools quickly in a live engagement.
Ability to lead demos and UAT sessions and communicate transparently with clients.

Nice To Haves

Marketing Cloud Consultant certification.
Exposure to Marketing Cloud Next or Data 360.
Salesforce Platform Administrator certification.

Responsibilities

Build Marketing Cloud Engagement journeys, automations, data extensions, content, and contact models.
Write and maintain AMPscript and server-side JavaScript where needed.
Integrate Marketing Cloud Engagement with Salesforce Core and program data sources.
Validate audience segments and sends before execution, including checking that the returned population is correct.
Support the program’s transition toward Marketing Cloud Next and Data 360, learning those systems as work arrives.
Write tests based on acceptance criteria and verify every journey path in the environment.
Use AI to generate journey logic, AMPscript, queries, and test data, then verify generated work against real data.
Use AI to document existing Marketing Cloud configuration before making changes.
Critically review, correct, and approve AI-generated work; remain accountable for approved output and explain corrections made.
Work with the AI tools available to the engagement, which may include Claude, Microsoft Copilot, GitHub Copilot, platform assistants, or client-provided tools.
Lead client demos and UAT sessions, and hold technical conversations with clients in support of the architect.
Explain complex topics to technical and non-technical audiences and raise knowledge gaps early.
Defend technical solutions and the evidence behind them, and deliver measurable, defensible outcomes.